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Calibration of air traffic demand models: global and regionalized#
from gemseo import configure_logger
from gemseo_jax.auto_jax_discipline import AutoJAXDiscipline
from matplotlib.pyplot import subplots
from numpy import linspace
from noads.core.models.traffic import generalised_logistic
from noads.demand_calibration.global_rpk import run_global_rpk_calibration
from noads.demand_calibration.regional_departures import run_region_calibration
configure_logger()
<RootLogger root (INFO)>
World Bank Departures data#
At first we explore World Bank data on registered carrier departures. The intent is to fit a generalized logistic function to estimate traffic per capita from income per capita. The main idea of the calibration is to find the set of parameters that minimize the error between modeled history and history data. We use gradient-based algorithms to exploit the Automatic Differentiation (AD) provided by JAX. As these algorithms may be more prone to getting stuck on local minima (especially in calibration problems, which are often multi-modal), we use a Multi-Start strategy, i.e., run several optimizations with several starting points (chosen with a Design of Experiments algorithm). Globally aggregated ^^^^^^^^^^^^^^^^^^^
results = run_region_calibration("WLD", plot_calibration=True)
print(results[0])
#
# # %%
# # ## Regional
countries = ["USA", "GBR", "EUU", "BOL", "BRA", "CHN", "IND"]
fig, ax = subplots(figsize=(7, 4), layout="constrained")
for country in countries:
(best_fit, years_data, x_data, y_data, years_raw, x_raw, y_raw) = (
run_region_calibration(country, plot_calibration=False)
)
x_ordered = linspace(min(x_data), max(x_data), 100)
# Disciplines and Chain with gemseo-jax
model = AutoJAXDiscipline(generalised_logistic)
print(country, best_fit)
best_fit.update({"x": x_ordered})
results = model.execute(best_fit)
lines = ax.plot(
x_ordered,
results["y"],
"-",
label=f"{country} - modelled",
)
ax.plot(
x_data,
y_data,
".",
label=f"{country} - observed",
color=lines[-1].get_color(),
)
ax.set_ylabel("departures per capita")
ax.set_xlabel("GDP per capita\n[current US$/hab.]")
ax.legend(bbox_to_anchor=(1.1, 0.9))
ax.set_ylim(bottom=1e-4)
ax.set_yscale("log")
ax.set_xscale("log")
fig.show()
INFO - 10:04:08: *** Start MDOScenario execution ***
INFO - 10:04:08: MDOScenario
INFO - 10:04:08: Disciplines: JAXChain
INFO - 10:04:08: MDO formulation: DisciplinaryOpt
INFO - 10:04:08: Optimization problem:
INFO - 10:04:08: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:08: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:08: over the design space:
INFO - 10:04:08: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:08: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:08: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:08: | left_asymptote | 0 | 0.002245594325533182 | 0.004918571102090962 | float |
INFO - 10:04:08: | capacity | 0.002245594325533182 | 0.004918571102090962 | 0.04918571102090963 | float |
INFO - 10:04:08: | growth_rate | 0.0001084690661636759 | 0.0005423453308183793 | 0.0009762215954730827 | float |
INFO - 10:04:08: | x_lag | 0 | 5665.226835246761 | 11330.45367049352 | float |
INFO - 10:04:08: | logistic_nu | 0.1 | 1 | 10 | float |
INFO - 10:04:08: | asymptote_coeff | 0.1 | 1 | 10 | float |
INFO - 10:04:08: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:08: Solving optimization problem with algorithm MultiStart:
INFO - 10:04:08: Optimization problem:
INFO - 10:04:08: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:08: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:08: over the design space:
INFO - 10:04:08: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:08: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:08: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:08: | left_asymptote | 0 | 0.002804388351105251 | 0.004918571102090962 | float |
INFO - 10:04:08: | capacity | 0.002245594325533182 | 0.02380596129560841 | 0.04918571102090963 | float |
INFO - 10:04:08: | growth_rate | 0.0001084690661636759 | 0.0001698498022615413 | 0.0009762215954730827 | float |
INFO - 10:04:08: | x_lag | 0 | 10093.48707039636 | 11330.45367049352 | float |
INFO - 10:04:08: | logistic_nu | 0.1 | 7.368669008241702 | 10 | float |
INFO - 10:04:08: | asymptote_coeff | 0.1 | 7.989486619901931 | 10 | float |
INFO - 10:04:08: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:08: Solving optimization problem with algorithm L-BFGS-B:
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INFO - 10:04:09: 56%|█████▌ | 139/250 [00:00<00:00, 203.97 it/sec, feas=True, obj=0.0562]
INFO - 10:04:09: 56%|█████▌ | 140/250 [00:00<00:00, 204.05 it/sec, feas=True, obj=0.0562]
INFO - 10:04:09: 56%|█████▋ | 141/250 [00:00<00:00, 204.64 it/sec, feas=True, obj=0.0562]
INFO - 10:04:09: 57%|█████▋ | 142/250 [00:00<00:00, 205.26 it/sec, feas=True, obj=0.0615]
INFO - 10:04:09: 57%|█████▋ | 143/250 [00:00<00:00, 205.87 it/sec, feas=True, obj=0.0562]
INFO - 10:04:09: 58%|█████▊ | 144/250 [00:00<00:00, 206.44 it/sec, feas=True, obj=0.0562]
INFO - 10:04:09: 58%|█████▊ | 145/250 [00:00<00:00, 206.73 it/sec, feas=True, obj=0.0562]
INFO - 10:04:09: 58%|█████▊ | 146/250 [00:00<00:00, 207.33 it/sec, feas=True, obj=0.0562]
INFO - 10:04:09: 59%|█████▉ | 147/250 [00:00<00:00, 207.88 it/sec, feas=True, obj=0.0562]
INFO - 10:04:09: 59%|█████▉ | 148/250 [00:00<00:00, 208.46 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 60%|█████▉ | 149/250 [00:00<00:00, 209.03 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 60%|██████ | 150/250 [00:00<00:00, 209.58 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 60%|██████ | 151/250 [00:00<00:00, 210.15 it/sec, feas=True, obj=0.0562]
INFO - 10:04:09: 61%|██████ | 152/250 [00:00<00:00, 210.69 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 61%|██████ | 153/250 [00:00<00:00, 211.24 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 62%|██████▏ | 154/250 [00:00<00:00, 211.79 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 62%|██████▏ | 155/250 [00:00<00:00, 212.36 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 62%|██████▏ | 156/250 [00:00<00:00, 212.92 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 63%|██████▎ | 157/250 [00:00<00:00, 213.48 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 63%|██████▎ | 158/250 [00:00<00:00, 214.03 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 64%|██████▎ | 159/250 [00:00<00:00, 214.60 it/sec, feas=True, obj=0.0769]
INFO - 10:04:09: 64%|██████▍ | 160/250 [00:00<00:00, 214.95 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 64%|██████▍ | 161/250 [00:00<00:00, 215.49 it/sec, feas=True, obj=0.0669]
INFO - 10:04:09: 65%|██████▍ | 162/250 [00:00<00:00, 216.03 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 65%|██████▌ | 163/250 [00:00<00:00, 216.57 it/sec, feas=True, obj=0.0668]
INFO - 10:04:09: 66%|██████▌ | 164/250 [00:00<00:00, 217.09 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 66%|██████▌ | 165/250 [00:00<00:00, 217.62 it/sec, feas=True, obj=0.0668]
INFO - 10:04:09: 66%|██████▋ | 166/250 [00:00<00:00, 218.14 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 67%|██████▋ | 167/250 [00:00<00:00, 218.65 it/sec, feas=True, obj=0.0668]
INFO - 10:04:09: 67%|██████▋ | 168/250 [00:00<00:00, 219.16 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 68%|██████▊ | 169/250 [00:00<00:00, 219.16 it/sec, feas=True, obj=0.0668]
INFO - 10:04:09: 68%|██████▊ | 170/250 [00:00<00:00, 219.65 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 68%|██████▊ | 171/250 [00:00<00:00, 220.10 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 69%|██████▉ | 172/250 [00:00<00:00, 220.59 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 69%|██████▉ | 173/250 [00:00<00:00, 221.05 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 70%|██████▉ | 174/250 [00:00<00:00, 221.54 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 70%|███████ | 175/250 [00:00<00:00, 222.03 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 70%|███████ | 176/250 [00:00<00:00, 222.52 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 71%|███████ | 177/250 [00:00<00:00, 222.99 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 71%|███████ | 178/250 [00:00<00:00, 223.47 it/sec, feas=True, obj=0.0591]
INFO - 10:04:09: 72%|███████▏ | 179/250 [00:00<00:00, 223.92 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 72%|███████▏ | 180/250 [00:00<00:00, 224.39 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 72%|███████▏ | 181/250 [00:00<00:00, 224.80 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 73%|███████▎ | 182/250 [00:00<00:00, 225.01 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 73%|███████▎ | 183/250 [00:00<00:00, 225.48 it/sec, feas=True, obj=0.0597]
INFO - 10:04:09: 74%|███████▎ | 184/250 [00:00<00:00, 225.91 it/sec, feas=True, obj=0.056]
INFO - 10:04:09: 74%|███████▍ | 185/250 [00:00<00:00, 226.10 it/sec, feas=True, obj=0.056]
INFO - 10:04:09: 74%|███████▍ | 186/250 [00:00<00:00, 226.56 it/sec, feas=True, obj=0.061]
INFO - 10:04:09: 75%|███████▍ | 187/250 [00:00<00:00, 226.33 it/sec, feas=True, obj=0.056]
INFO - 10:04:09: 75%|███████▌ | 188/250 [00:00<00:00, 226.79 it/sec, feas=True, obj=0.056]
INFO - 10:04:09: 76%|███████▌ | 189/250 [00:00<00:00, 226.95 it/sec, feas=True, obj=0.056]
INFO - 10:04:09: 76%|███████▌ | 190/250 [00:00<00:00, 227.39 it/sec, feas=True, obj=0.0561]
INFO - 10:04:09: 76%|███████▋ | 191/250 [00:00<00:00, 227.81 it/sec, feas=True, obj=0.056]
INFO - 10:04:09: 77%|███████▋ | 192/250 [00:00<00:00, 228.25 it/sec, feas=True, obj=0.116]
INFO - 10:04:09: 77%|███████▋ | 193/250 [00:00<00:00, 228.68 it/sec, feas=True, obj=0.056]
INFO - 10:04:09: 78%|███████▊ | 194/250 [00:00<00:00, 229.10 it/sec, feas=True, obj=0.056]
INFO - 10:04:09: 78%|███████▊ | 195/250 [00:00<00:00, 229.52 it/sec, feas=True, obj=0.0569]
INFO - 10:04:09: 78%|███████▊ | 196/250 [00:00<00:00, 229.93 it/sec, feas=True, obj=0.056]
INFO - 10:04:09: 79%|███████▉ | 197/250 [00:00<00:00, 230.29 it/sec, feas=True, obj=0.0597]
INFO - 10:04:09: 79%|███████▉ | 198/250 [00:00<00:00, 230.70 it/sec, feas=True, obj=0.056]
INFO - 10:04:09: 80%|███████▉ | 199/250 [00:00<00:00, 231.09 it/sec, feas=True, obj=0.0565]
INFO - 10:04:09: 80%|████████ | 200/250 [00:00<00:00, 231.51 it/sec, feas=True, obj=0.056]
INFO - 10:04:09: 80%|████████ | 201/250 [00:00<00:00, 231.90 it/sec, feas=True, obj=0.296]
INFO - 10:04:09: 81%|████████ | 202/250 [00:00<00:00, 232.30 it/sec, feas=True, obj=0.0564]
INFO - 10:04:09: 81%|████████ | 203/250 [00:00<00:00, 232.72 it/sec, feas=True, obj=0.0559]
INFO - 10:04:09: 82%|████████▏ | 204/250 [00:00<00:00, 233.14 it/sec, feas=True, obj=2.34]
INFO - 10:04:09: 82%|████████▏ | 205/250 [00:00<00:00, 233.19 it/sec, feas=True, obj=0.0563]
INFO - 10:04:09: 82%|████████▏ | 206/250 [00:00<00:00, 233.58 it/sec, feas=True, obj=0.0559]
INFO - 10:04:09: 83%|████████▎ | 207/250 [00:00<00:00, 233.98 it/sec, feas=True, obj=8.35e+10]
INFO - 10:04:09: 83%|████████▎ | 208/250 [00:00<00:00, 234.38 it/sec, feas=True, obj=0.925]
INFO - 10:04:09: 84%|████████▎ | 209/250 [00:00<00:00, 234.78 it/sec, feas=True, obj=0.0559]
INFO - 10:04:09: 84%|████████▍ | 210/250 [00:00<00:00, 235.19 it/sec, feas=True, obj=0.0559]
INFO - 10:04:09: 84%|████████▍ | 211/250 [00:00<00:00, 235.59 it/sec, feas=True, obj=2.51]
INFO - 10:04:09: 85%|████████▍ | 212/250 [00:00<00:00, 235.98 it/sec, feas=True, obj=0.0587]
INFO - 10:04:09: 85%|████████▌ | 213/250 [00:00<00:00, 236.36 it/sec, feas=True, obj=0.0559]
INFO - 10:04:09: 86%|████████▌ | 214/250 [00:00<00:00, 236.76 it/sec, feas=True, obj=0.0568]
INFO - 10:04:09: 86%|████████▌ | 215/250 [00:00<00:00, 237.10 it/sec, feas=True, obj=0.0559]
INFO - 10:04:09: 86%|████████▋ | 216/250 [00:00<00:00, 237.48 it/sec, feas=True, obj=0.0565]
INFO - 10:04:09: 87%|████████▋ | 217/250 [00:00<00:00, 237.85 it/sec, feas=True, obj=0.0559]
INFO - 10:04:09: 87%|████████▋ | 218/250 [00:00<00:00, 238.20 it/sec, feas=True, obj=0.0568]
INFO - 10:04:09: 88%|████████▊ | 219/250 [00:00<00:00, 238.56 it/sec, feas=True, obj=0.0559]
INFO - 10:04:09: 88%|████████▊ | 220/250 [00:00<00:00, 238.92 it/sec, feas=True, obj=0.0558]
INFO - 10:04:09: 88%|████████▊ | 221/250 [00:00<00:00, 239.28 it/sec, feas=True, obj=0.0558]
INFO - 10:04:09: 89%|████████▉ | 222/250 [00:00<00:00, 239.64 it/sec, feas=True, obj=0.0558]
INFO - 10:04:09: 89%|████████▉ | 223/250 [00:00<00:00, 240.01 it/sec, feas=True, obj=0.0558]
INFO - 10:04:09: 90%|████████▉ | 224/250 [00:00<00:00, 239.78 it/sec, feas=True, obj=0.0558]
INFO - 10:04:09: 90%|█████████ | 225/250 [00:00<00:00, 240.09 it/sec, feas=True, obj=0.0558]
INFO - 10:04:09: 90%|█████████ | 226/250 [00:00<00:00, 240.44 it/sec, feas=True, obj=0.0558]
INFO - 10:04:09: 91%|█████████ | 227/250 [00:00<00:00, 240.78 it/sec, feas=True, obj=0.0557]
INFO - 10:04:09: 91%|█████████ | 228/250 [00:00<00:00, 241.12 it/sec, feas=True, obj=0.0557]
INFO - 10:04:09: 92%|█████████▏| 229/250 [00:00<00:00, 241.47 it/sec, feas=True, obj=0.0557]
INFO - 10:04:09: 92%|█████████▏| 230/250 [00:00<00:00, 241.82 it/sec, feas=True, obj=0.0557]
INFO - 10:04:09: 92%|█████████▏| 231/250 [00:00<00:00, 242.17 it/sec, feas=True, obj=1.08]
INFO - 10:04:09: 93%|█████████▎| 232/250 [00:00<00:00, 242.53 it/sec, feas=True, obj=0.0704]
INFO - 10:04:09: 93%|█████████▎| 233/250 [00:00<00:00, 242.87 it/sec, feas=True, obj=0.0557]
INFO - 10:04:09: 94%|█████████▎| 234/250 [00:00<00:00, 243.22 it/sec, feas=True, obj=0.072]
INFO - 10:04:09: 94%|█████████▍| 235/250 [00:00<00:00, 243.57 it/sec, feas=True, obj=0.0557]
INFO - 10:04:09: 94%|█████████▍| 236/250 [00:00<00:00, 243.89 it/sec, feas=True, obj=0.0557]
INFO - 10:04:09: 95%|█████████▍| 237/250 [00:00<00:00, 244.23 it/sec, feas=True, obj=0.0557]
INFO - 10:04:09: 95%|█████████▌| 238/250 [00:00<00:00, 244.56 it/sec, feas=True, obj=0.0557]
INFO - 10:04:09: 96%|█████████▌| 239/250 [00:00<00:00, 244.89 it/sec, feas=True, obj=0.0557]
INFO - 10:04:09: 96%|█████████▌| 240/250 [00:00<00:00, 245.22 it/sec, feas=True, obj=0.0556]
INFO - 10:04:09: 96%|█████████▋| 241/250 [00:00<00:00, 245.54 it/sec, feas=True, obj=0.0556]
INFO - 10:04:09: 97%|█████████▋| 242/250 [00:00<00:00, 245.61 it/sec, feas=True, obj=0.0556]
INFO - 10:04:09: 97%|█████████▋| 243/250 [00:00<00:00, 245.93 it/sec, feas=True, obj=0.0556]
INFO - 10:04:09: 98%|█████████▊| 244/250 [00:00<00:00, 246.24 it/sec, feas=True, obj=0.0556]
INFO - 10:04:09: 98%|█████████▊| 245/250 [00:00<00:00, 246.56 it/sec, feas=True, obj=0.0558]
INFO - 10:04:09: 98%|█████████▊| 246/250 [00:00<00:00, 246.87 it/sec, feas=True, obj=0.0556]
INFO - 10:04:09: 99%|█████████▉| 247/250 [00:00<00:00, 247.19 it/sec, feas=True, obj=0.0557]
INFO - 10:04:09: 99%|█████████▉| 248/250 [00:01<00:00, 247.51 it/sec, feas=True, obj=0.0556]
INFO - 10:04:09: 100%|█████████▉| 249/250 [00:01<00:00, 247.81 it/sec, feas=True, obj=0.0556]
INFO - 10:04:09: 100%|██████████| 250/250 [00:01<00:00, 248.12 it/sec, feas=True, obj=0.0556]
INFO - 10:04:09: Optimization result:
INFO - 10:04:09: Optimizer info:
INFO - 10:04:09: Status: None
INFO - 10:04:09: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 10:04:09: Solution:
INFO - 10:04:09: Objective: 0.05556872341986185
INFO - 10:04:09: Design space:
INFO - 10:04:09: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:09: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:09: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:09: | left_asymptote | 0 | 0.002231988065925421 | 0.004918571102090962 | float |
INFO - 10:04:09: | capacity | 0.002245594325533182 | 0.04918550678108918 | 0.04918571102090963 | float |
INFO - 10:04:09: | growth_rate | 0.0001084690661636759 | 0.0002962489629192557 | 0.0009762215954730827 | float |
INFO - 10:04:09: | x_lag | 0 | 205.8454380673251 | 11330.45367049352 | float |
INFO - 10:04:09: | logistic_nu | 0.1 | 0.121420369952392 | 10 | float |
INFO - 10:04:09: | asymptote_coeff | 0.1 | 1.395826992764114 | 10 | float |
INFO - 10:04:09: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:09: Optimization problem:
INFO - 10:04:09: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:09: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:09: over the design space:
INFO - 10:04:09: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:09: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:09: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:09: | left_asymptote | 0 | 0.001706402522583851 | 0.004918571102090962 | float |
INFO - 10:04:09: | capacity | 0.002245594325533182 | 0.009057063076375889 | 0.04918571102090963 | float |
INFO - 10:04:09: | growth_rate | 0.0001084690661636759 | 0.0002495973035229123 | 0.0009762215954730827 | float |
INFO - 10:04:09: | x_lag | 0 | 7376.354694129091 | 11330.45367049352 | float |
INFO - 10:04:09: | logistic_nu | 0.1 | 0.5484496378270003 | 10 | float |
INFO - 10:04:09: | asymptote_coeff | 0.1 | 4.282038415160894 | 10 | float |
INFO - 10:04:09: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:09: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:09: 1%| | 2/250 [00:00<00:00, 381.21 it/sec, feas=True, obj=8.66]
INFO - 10:04:09: 1%| | 3/250 [00:00<00:00, 395.98 it/sec, feas=True, obj=0.687]
INFO - 10:04:09: 2%|▏ | 4/250 [00:00<00:00, 389.60 it/sec, feas=True, obj=0.181]
INFO - 10:04:09: 2%|▏ | 5/250 [00:00<00:00, 384.95 it/sec, feas=True, obj=1.02]
INFO - 10:04:09: 2%|▏ | 6/250 [00:00<00:00, 381.23 it/sec, feas=True, obj=0.166]
INFO - 10:04:09: 3%|▎ | 7/250 [00:00<00:00, 379.90 it/sec, feas=True, obj=0.165]
INFO - 10:04:09: 3%|▎ | 8/250 [00:00<00:00, 377.97 it/sec, feas=True, obj=0.162]
INFO - 10:04:09: 4%|▎ | 9/250 [00:00<00:00, 376.06 it/sec, feas=True, obj=0.153]
INFO - 10:04:09: 4%|▍ | 10/250 [00:00<00:00, 375.31 it/sec, feas=True, obj=0.142]
INFO - 10:04:09: 4%|▍ | 11/250 [00:00<00:00, 374.95 it/sec, feas=True, obj=0.365]
INFO - 10:04:09: 5%|▍ | 12/250 [00:00<00:00, 373.98 it/sec, feas=True, obj=0.105]
INFO - 10:04:09: 5%|▌ | 13/250 [00:00<00:00, 373.46 it/sec, feas=True, obj=0.217]
INFO - 10:04:09: 6%|▌ | 14/250 [00:00<00:00, 373.48 it/sec, feas=True, obj=0.0791]
INFO - 10:04:09: 6%|▌ | 15/250 [00:00<00:00, 373.01 it/sec, feas=True, obj=0.086]
INFO - 10:04:09: 6%|▋ | 16/250 [00:00<00:00, 372.24 it/sec, feas=True, obj=0.0662]
INFO - 10:04:09: 7%|▋ | 17/250 [00:00<00:00, 371.80 it/sec, feas=True, obj=0.0654]
INFO - 10:04:09: 7%|▋ | 18/250 [00:00<00:00, 371.58 it/sec, feas=True, obj=0.0649]
INFO - 10:04:09: 8%|▊ | 19/250 [00:00<00:00, 371.11 it/sec, feas=True, obj=0.0649]
INFO - 10:04:09: 8%|▊ | 20/250 [00:00<00:00, 370.57 it/sec, feas=True, obj=0.0645]
INFO - 10:04:09: 8%|▊ | 21/250 [00:00<00:00, 370.35 it/sec, feas=True, obj=0.0635]
INFO - 10:04:09: 9%|▉ | 22/250 [00:00<00:00, 370.32 it/sec, feas=True, obj=0.0616]
INFO - 10:04:09: 9%|▉ | 23/250 [00:00<00:00, 369.95 it/sec, feas=True, obj=0.0589]
INFO - 10:04:09: 10%|▉ | 24/250 [00:00<00:00, 369.54 it/sec, feas=True, obj=0.0567]
INFO - 10:04:09: 10%|█ | 25/250 [00:00<00:00, 364.67 it/sec, feas=True, obj=0.0564]
INFO - 10:04:09: 10%|█ | 26/250 [00:00<00:00, 364.64 it/sec, feas=True, obj=0.0563]
INFO - 10:04:09: 11%|█ | 27/250 [00:00<00:00, 364.49 it/sec, feas=True, obj=0.0563]
INFO - 10:04:09: 11%|█ | 28/250 [00:00<00:00, 355.69 it/sec, feas=True, obj=0.0563]
INFO - 10:04:09: 12%|█▏ | 29/250 [00:00<00:00, 354.81 it/sec, feas=True, obj=0.0563]
INFO - 10:04:09: 12%|█▏ | 30/250 [00:00<00:00, 354.27 it/sec, feas=True, obj=0.0563]
INFO - 10:04:09: 12%|█▏ | 31/250 [00:00<00:00, 353.23 it/sec, feas=True, obj=0.0563]
INFO - 10:04:09: 13%|█▎ | 32/250 [00:00<00:00, 353.37 it/sec, feas=True, obj=0.0563]
INFO - 10:04:09: 13%|█▎ | 33/250 [00:00<00:00, 353.13 it/sec, feas=True, obj=0.0563]
INFO - 10:04:09: 14%|█▎ | 34/250 [00:00<00:00, 352.76 it/sec, feas=True, obj=0.0563]
INFO - 10:04:09: 14%|█▍ | 35/250 [00:00<00:00, 353.00 it/sec, feas=True, obj=0.0563]
INFO - 10:04:09: 14%|█▍ | 36/250 [00:00<00:00, 353.10 it/sec, feas=True, obj=0.0563]
INFO - 10:04:09: 15%|█▍ | 37/250 [00:00<00:00, 353.32 it/sec, feas=True, obj=0.0562]
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INFO - 10:04:10: 65%|██████▍ | 162/250 [00:00<00:00, 348.66 it/sec, feas=True, obj=0.0557]
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INFO - 10:04:10: 66%|██████▌ | 164/250 [00:00<00:00, 348.82 it/sec, feas=True, obj=0.0557]
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INFO - 10:04:10: 76%|███████▌ | 189/250 [00:00<00:00, 349.20 it/sec, feas=True, obj=0.0556]
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INFO - 10:04:10: 82%|████████▏ | 204/250 [00:00<00:00, 349.52 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 82%|████████▏ | 205/250 [00:00<00:00, 349.48 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 82%|████████▏ | 206/250 [00:00<00:00, 349.54 it/sec, feas=True, obj=0.0807]
INFO - 10:04:10: 83%|████████▎ | 207/250 [00:00<00:00, 349.54 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 83%|████████▎ | 208/250 [00:00<00:00, 349.57 it/sec, feas=True, obj=0.0806]
INFO - 10:04:10: 84%|████████▎ | 209/250 [00:00<00:00, 349.58 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 84%|████████▍ | 210/250 [00:00<00:00, 349.62 it/sec, feas=True, obj=0.0805]
INFO - 10:04:10: 84%|████████▍ | 211/250 [00:00<00:00, 349.65 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 85%|████████▍ | 212/250 [00:00<00:00, 349.69 it/sec, feas=True, obj=0.0805]
INFO - 10:04:10: 85%|████████▌ | 213/250 [00:00<00:00, 349.70 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 86%|████████▌ | 214/250 [00:00<00:00, 349.74 it/sec, feas=True, obj=0.0805]
INFO - 10:04:10: 86%|████████▌ | 215/250 [00:00<00:00, 349.73 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 86%|████████▋ | 216/250 [00:00<00:00, 349.76 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 87%|████████▋ | 217/250 [00:00<00:00, 349.82 it/sec, feas=True, obj=2.41]
INFO - 10:04:10: 87%|████████▋ | 218/250 [00:00<00:00, 349.85 it/sec, feas=True, obj=0.0824]
INFO - 10:04:10: 88%|████████▊ | 219/250 [00:00<00:00, 349.87 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 88%|████████▊ | 220/250 [00:00<00:00, 349.93 it/sec, feas=True, obj=1.5]
INFO - 10:04:10: 88%|████████▊ | 221/250 [00:00<00:00, 349.98 it/sec, feas=True, obj=0.0556]
INFO - 10:04:10: 89%|████████▉ | 222/250 [00:00<00:00, 350.01 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 89%|████████▉ | 223/250 [00:00<00:00, 350.04 it/sec, feas=True, obj=1.49]
INFO - 10:04:10: 90%|████████▉ | 224/250 [00:00<00:00, 350.07 it/sec, feas=True, obj=0.0556]
INFO - 10:04:10: 90%|█████████ | 225/250 [00:00<00:00, 350.10 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 90%|█████████ | 226/250 [00:00<00:00, 350.15 it/sec, feas=True, obj=1.48]
INFO - 10:04:10: 91%|█████████ | 227/250 [00:00<00:00, 350.19 it/sec, feas=True, obj=0.0556]
INFO - 10:04:10: 91%|█████████ | 228/250 [00:00<00:00, 350.20 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 92%|█████████▏| 229/250 [00:00<00:00, 350.23 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 92%|█████████▏| 230/250 [00:00<00:00, 350.28 it/sec, feas=True, obj=1.38]
INFO - 10:04:10: 92%|█████████▏| 231/250 [00:00<00:00, 350.33 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 93%|█████████▎| 232/250 [00:00<00:00, 350.35 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 93%|█████████▎| 233/250 [00:00<00:00, 350.31 it/sec, feas=True, obj=1.36]
INFO - 10:04:10: 94%|█████████▎| 234/250 [00:00<00:00, 350.35 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 94%|█████████▍| 235/250 [00:00<00:00, 350.37 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 94%|█████████▍| 236/250 [00:00<00:00, 350.38 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 95%|█████████▍| 237/250 [00:00<00:00, 350.44 it/sec, feas=True, obj=0.943]
INFO - 10:04:10: 95%|█████████▌| 238/250 [00:00<00:00, 350.46 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 96%|█████████▌| 239/250 [00:00<00:00, 350.45 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 96%|█████████▌| 240/250 [00:00<00:00, 350.50 it/sec, feas=True, obj=0.552]
INFO - 10:04:10: 96%|█████████▋| 241/250 [00:00<00:00, 350.51 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 97%|█████████▋| 242/250 [00:00<00:00, 350.50 it/sec, feas=True, obj=0.12]
INFO - 10:04:10: 97%|█████████▋| 243/250 [00:00<00:00, 350.45 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 98%|█████████▊| 244/250 [00:00<00:00, 350.40 it/sec, feas=True, obj=0.117]
INFO - 10:04:10: 98%|█████████▊| 245/250 [00:00<00:00, 350.34 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 98%|█████████▊| 246/250 [00:00<00:00, 350.34 it/sec, feas=True, obj=0.119]
INFO - 10:04:10: 99%|█████████▉| 247/250 [00:00<00:00, 350.28 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 99%|█████████▉| 248/250 [00:00<00:00, 350.22 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 100%|█████████▉| 249/250 [00:00<00:00, 350.17 it/sec, feas=True, obj=0.0893]
INFO - 10:04:10: 100%|██████████| 250/250 [00:00<00:00, 350.10 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: Optimization result:
INFO - 10:04:10: Optimizer info:
INFO - 10:04:10: Status: None
INFO - 10:04:10: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 10:04:10: Solution:
INFO - 10:04:10: Objective: 0.05551927043081324
INFO - 10:04:10: Design space:
INFO - 10:04:10: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:10: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:10: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:10: | left_asymptote | 0 | 0.002206403432642752 | 0.004918571102090962 | float |
INFO - 10:04:10: | capacity | 0.002245594325533182 | 0.04918571037150241 | 0.04918571102090963 | float |
INFO - 10:04:10: | growth_rate | 0.0001084690661636759 | 0.0002689774425096676 | 0.0009762215954730827 | float |
INFO - 10:04:10: | x_lag | 0 | 0 | 11330.45367049352 | float |
INFO - 10:04:10: | logistic_nu | 0.1 | 0.1259422293691173 | 10 | float |
INFO - 10:04:10: | asymptote_coeff | 0.1 | 1.401481185221225 | 10 | float |
INFO - 10:04:10: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:10: Optimization problem:
INFO - 10:04:10: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:10: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:10: over the design space:
INFO - 10:04:10: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:10: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:10: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:10: | left_asymptote | 0 | 0.003826949985981703 | 0.004918571102090962 | float |
INFO - 10:04:10: | capacity | 0.002245594325533182 | 0.01835087261834073 | 0.04918571102090963 | float |
INFO - 10:04:10: | growth_rate | 0.0001084690661636759 | 0.0003067709380007861 | 0.0009762215954730827 | float |
INFO - 10:04:10: | x_lag | 0 | 1951.922764120623 | 11330.45367049352 | float |
INFO - 10:04:10: | logistic_nu | 0.1 | 4.260096820785328 | 10 | float |
INFO - 10:04:10: | asymptote_coeff | 0.1 | 9.734456184588874 | 10 | float |
INFO - 10:04:10: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:10: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:10: 1%| | 2/250 [00:00<00:00, 364.93 it/sec, feas=True, obj=0.771]
INFO - 10:04:10: 1%| | 3/250 [00:00<00:00, 380.72 it/sec, feas=True, obj=0.43]
INFO - 10:04:10: 2%|▏ | 4/250 [00:00<00:00, 342.46 it/sec, feas=True, obj=0.445]
INFO - 10:04:10: 2%|▏ | 5/250 [00:00<00:00, 346.80 it/sec, feas=True, obj=0.254]
INFO - 10:04:10: 2%|▏ | 6/250 [00:00<00:00, 339.56 it/sec, feas=True, obj=0.253]
INFO - 10:04:10: 3%|▎ | 7/250 [00:00<00:00, 342.96 it/sec, feas=True, obj=0.252]
INFO - 10:04:10: 3%|▎ | 8/250 [00:00<00:00, 343.19 it/sec, feas=True, obj=0.251]
INFO - 10:04:10: 4%|▎ | 9/250 [00:00<00:00, 345.33 it/sec, feas=True, obj=0.337]
INFO - 10:04:10: 4%|▍ | 10/250 [00:00<00:00, 347.18 it/sec, feas=True, obj=0.25]
INFO - 10:04:10: 4%|▍ | 11/250 [00:00<00:00, 349.19 it/sec, feas=True, obj=0.293]
INFO - 10:04:10: 5%|▍ | 12/250 [00:00<00:00, 350.58 it/sec, feas=True, obj=0.249]
INFO - 10:04:10: 5%|▌ | 13/250 [00:00<00:00, 351.53 it/sec, feas=True, obj=0.246]
INFO - 10:04:10: 6%|▌ | 14/250 [00:00<00:00, 336.52 it/sec, feas=True, obj=0.231]
INFO - 10:04:10: 6%|▌ | 15/250 [00:00<00:00, 338.12 it/sec, feas=True, obj=0.229]
INFO - 10:04:10: 6%|▋ | 16/250 [00:00<00:00, 338.43 it/sec, feas=True, obj=2.35]
INFO - 10:04:10: 7%|▋ | 17/250 [00:00<00:00, 339.56 it/sec, feas=True, obj=0.244]
INFO - 10:04:10: 7%|▋ | 18/250 [00:00<00:00, 339.67 it/sec, feas=True, obj=0.228]
INFO - 10:04:10: 8%|▊ | 19/250 [00:00<00:00, 340.94 it/sec, feas=True, obj=0.226]
INFO - 10:04:10: 8%|▊ | 20/250 [00:00<00:00, 342.45 it/sec, feas=True, obj=0.224]
INFO - 10:04:10: 8%|▊ | 21/250 [00:00<00:00, 342.86 it/sec, feas=True, obj=0.223]
INFO - 10:04:10: 9%|▉ | 22/250 [00:00<00:00, 335.12 it/sec, feas=True, obj=0.222]
INFO - 10:04:10: 9%|▉ | 23/250 [00:00<00:00, 335.73 it/sec, feas=True, obj=10.5]
INFO - 10:04:10: 10%|▉ | 24/250 [00:00<00:00, 336.53 it/sec, feas=True, obj=0.293]
INFO - 10:04:10: 10%|█ | 25/250 [00:00<00:00, 336.70 it/sec, feas=True, obj=0.22]
INFO - 10:04:10: 10%|█ | 26/250 [00:00<00:00, 336.45 it/sec, feas=True, obj=0.244]
INFO - 10:04:10: 11%|█ | 27/250 [00:00<00:00, 336.71 it/sec, feas=True, obj=0.215]
INFO - 10:04:10: 11%|█ | 28/250 [00:00<00:00, 336.95 it/sec, feas=True, obj=10.2]
INFO - 10:04:10: 12%|█▏ | 29/250 [00:00<00:00, 333.64 it/sec, feas=True, obj=0.254]
INFO - 10:04:10: 12%|█▏ | 30/250 [00:00<00:00, 333.87 it/sec, feas=True, obj=0.214]
INFO - 10:04:10: 12%|█▏ | 31/250 [00:00<00:00, 334.15 it/sec, feas=True, obj=0.663]
INFO - 10:04:10: 13%|█▎ | 32/250 [00:00<00:00, 332.20 it/sec, feas=True, obj=0.211]
INFO - 10:04:10: 13%|█▎ | 33/250 [00:00<00:00, 332.39 it/sec, feas=True, obj=0.209]
INFO - 10:04:10: 14%|█▎ | 34/250 [00:00<00:00, 332.53 it/sec, feas=True, obj=0.275]
INFO - 10:04:10: 14%|█▍ | 35/250 [00:00<00:00, 332.71 it/sec, feas=True, obj=0.206]
INFO - 10:04:10: 14%|█▍ | 36/250 [00:00<00:00, 332.62 it/sec, feas=True, obj=11.1]
INFO - 10:04:10: 15%|█▍ | 37/250 [00:00<00:00, 333.21 it/sec, feas=True, obj=0.379]
INFO - 10:04:10: 15%|█▌ | 38/250 [00:00<00:00, 333.57 it/sec, feas=True, obj=0.205]
INFO - 10:04:10: 16%|█▌ | 39/250 [00:00<00:00, 333.49 it/sec, feas=True, obj=0.442]
INFO - 10:04:10: 16%|█▌ | 40/250 [00:00<00:00, 333.71 it/sec, feas=True, obj=0.199]
INFO - 10:04:10: 16%|█▋ | 41/250 [00:00<00:00, 333.84 it/sec, feas=True, obj=0.195]
INFO - 10:04:10: 17%|█▋ | 42/250 [00:00<00:00, 334.41 it/sec, feas=True, obj=11.1]
INFO - 10:04:10: 17%|█▋ | 43/250 [00:00<00:00, 334.11 it/sec, feas=True, obj=0.234]
INFO - 10:04:10: 18%|█▊ | 44/250 [00:00<00:00, 334.60 it/sec, feas=True, obj=0.193]
INFO - 10:04:10: 18%|█▊ | 45/250 [00:00<00:00, 335.19 it/sec, feas=True, obj=0.956]
INFO - 10:04:10: 18%|█▊ | 46/250 [00:00<00:00, 335.74 it/sec, feas=True, obj=0.19]
INFO - 10:04:10: 19%|█▉ | 47/250 [00:00<00:00, 336.29 it/sec, feas=True, obj=0.374]
INFO - 10:04:10: 19%|█▉ | 48/250 [00:00<00:00, 336.91 it/sec, feas=True, obj=0.182]
INFO - 10:04:10: 20%|█▉ | 49/250 [00:00<00:00, 337.30 it/sec, feas=True, obj=0.178]
INFO - 10:04:10: 20%|██ | 50/250 [00:00<00:00, 337.75 it/sec, feas=True, obj=12.7]
INFO - 10:04:10: 20%|██ | 51/250 [00:00<00:00, 338.20 it/sec, feas=True, obj=1.54]
INFO - 10:04:10: 21%|██ | 52/250 [00:00<00:00, 334.15 it/sec, feas=True, obj=0.178]
INFO - 10:04:10: 21%|██ | 53/250 [00:00<00:00, 334.27 it/sec, feas=True, obj=0.168]
INFO - 10:04:10: 22%|██▏ | 54/250 [00:00<00:00, 334.43 it/sec, feas=True, obj=0.138]
INFO - 10:04:10: 22%|██▏ | 55/250 [00:00<00:00, 334.91 it/sec, feas=True, obj=2.16]
INFO - 10:04:10: 22%|██▏ | 56/250 [00:00<00:00, 335.11 it/sec, feas=True, obj=0.165]
INFO - 10:04:10: 23%|██▎ | 57/250 [00:00<00:00, 335.47 it/sec, feas=True, obj=0.131]
INFO - 10:04:10: 23%|██▎ | 58/250 [00:00<00:00, 335.61 it/sec, feas=True, obj=0.0767]
INFO - 10:04:10: 24%|██▎ | 59/250 [00:00<00:00, 336.15 it/sec, feas=True, obj=0.0778]
INFO - 10:04:10: 24%|██▍ | 60/250 [00:00<00:00, 336.25 it/sec, feas=True, obj=0.0674]
INFO - 10:04:10: 24%|██▍ | 61/250 [00:00<00:00, 336.59 it/sec, feas=True, obj=0.0668]
INFO - 10:04:10: 25%|██▍ | 62/250 [00:00<00:00, 337.01 it/sec, feas=True, obj=0.0918]
INFO - 10:04:10: 25%|██▌ | 63/250 [00:00<00:00, 337.27 it/sec, feas=True, obj=0.0635]
INFO - 10:04:10: 26%|██▌ | 64/250 [00:00<00:00, 337.49 it/sec, feas=True, obj=2.19]
INFO - 10:04:10: 26%|██▌ | 65/250 [00:00<00:00, 337.73 it/sec, feas=True, obj=0.0812]
INFO - 10:04:10: 26%|██▋ | 66/250 [00:00<00:00, 338.08 it/sec, feas=True, obj=0.0596]
INFO - 10:04:10: 27%|██▋ | 67/250 [00:00<00:00, 338.30 it/sec, feas=True, obj=0.0585]
INFO - 10:04:10: 27%|██▋ | 68/250 [00:00<00:00, 338.51 it/sec, feas=True, obj=0.133]
INFO - 10:04:10: 28%|██▊ | 69/250 [00:00<00:00, 338.71 it/sec, feas=True, obj=0.0583]
INFO - 10:04:10: 28%|██▊ | 70/250 [00:00<00:00, 339.01 it/sec, feas=True, obj=0.232]
INFO - 10:04:10: 28%|██▊ | 71/250 [00:00<00:00, 339.23 it/sec, feas=True, obj=0.0613]
INFO - 10:04:10: 29%|██▉ | 72/250 [00:00<00:00, 339.40 it/sec, feas=True, obj=0.0581]
INFO - 10:04:10: 29%|██▉ | 73/250 [00:00<00:00, 339.62 it/sec, feas=True, obj=0.0588]
INFO - 10:04:10: 30%|██▉ | 74/250 [00:00<00:00, 339.76 it/sec, feas=True, obj=0.0578]
INFO - 10:04:10: 30%|███ | 75/250 [00:00<00:00, 339.97 it/sec, feas=True, obj=0.0575]
INFO - 10:04:10: 30%|███ | 76/250 [00:00<00:00, 339.74 it/sec, feas=True, obj=0.0571]
INFO - 10:04:10: 31%|███ | 77/250 [00:00<00:00, 340.01 it/sec, feas=True, obj=0.0569]
INFO - 10:04:10: 31%|███ | 78/250 [00:00<00:00, 340.16 it/sec, feas=True, obj=0.0568]
INFO - 10:04:10: 32%|███▏ | 79/250 [00:00<00:00, 340.31 it/sec, feas=True, obj=0.0567]
INFO - 10:04:10: 32%|███▏ | 80/250 [00:00<00:00, 340.43 it/sec, feas=True, obj=0.0566]
INFO - 10:04:10: 32%|███▏ | 81/250 [00:00<00:00, 340.58 it/sec, feas=True, obj=0.0566]
INFO - 10:04:10: 33%|███▎ | 82/250 [00:00<00:00, 340.78 it/sec, feas=True, obj=0.0566]
INFO - 10:04:10: 33%|███▎ | 83/250 [00:00<00:00, 340.85 it/sec, feas=True, obj=0.0566]
INFO - 10:04:10: 34%|███▎ | 84/250 [00:00<00:00, 341.09 it/sec, feas=True, obj=0.0566]
INFO - 10:04:10: 34%|███▍ | 85/250 [00:00<00:00, 341.22 it/sec, feas=True, obj=0.0566]
INFO - 10:04:10: 34%|███▍ | 86/250 [00:00<00:00, 341.34 it/sec, feas=True, obj=0.0566]
INFO - 10:04:10: 35%|███▍ | 87/250 [00:00<00:00, 341.50 it/sec, feas=True, obj=0.0565]
INFO - 10:04:10: 35%|███▌ | 88/250 [00:00<00:00, 341.65 it/sec, feas=True, obj=0.0565]
INFO - 10:04:10: 36%|███▌ | 89/250 [00:00<00:00, 341.72 it/sec, feas=True, obj=0.0601]
INFO - 10:04:10: 36%|███▌ | 90/250 [00:00<00:00, 341.91 it/sec, feas=True, obj=0.0565]
INFO - 10:04:10: 36%|███▋ | 91/250 [00:00<00:00, 342.12 it/sec, feas=True, obj=0.0565]
INFO - 10:04:10: 37%|███▋ | 92/250 [00:00<00:00, 342.33 it/sec, feas=True, obj=0.0565]
INFO - 10:04:10: 37%|███▋ | 93/250 [00:00<00:00, 342.48 it/sec, feas=True, obj=0.0564]
INFO - 10:04:10: 38%|███▊ | 94/250 [00:00<00:00, 342.13 it/sec, feas=True, obj=0.0564]
INFO - 10:04:10: 38%|███▊ | 95/250 [00:00<00:00, 342.16 it/sec, feas=True, obj=0.0564]
INFO - 10:04:10: 38%|███▊ | 96/250 [00:00<00:00, 342.36 it/sec, feas=True, obj=0.0565]
INFO - 10:04:10: 39%|███▉ | 97/250 [00:00<00:00, 342.47 it/sec, feas=True, obj=0.0563]
INFO - 10:04:10: 39%|███▉ | 98/250 [00:00<00:00, 342.58 it/sec, feas=True, obj=0.0564]
INFO - 10:04:10: 40%|███▉ | 99/250 [00:00<00:00, 342.68 it/sec, feas=True, obj=0.0563]
INFO - 10:04:10: 40%|████ | 100/250 [00:00<00:00, 342.86 it/sec, feas=True, obj=0.0563]
INFO - 10:04:10: 40%|████ | 101/250 [00:00<00:00, 342.99 it/sec, feas=True, obj=0.0562]
INFO - 10:04:10: 41%|████ | 102/250 [00:00<00:00, 343.13 it/sec, feas=True, obj=0.0563]
INFO - 10:04:10: 41%|████ | 103/250 [00:00<00:00, 343.19 it/sec, feas=True, obj=0.0562]
INFO - 10:04:10: 42%|████▏ | 104/250 [00:00<00:00, 343.09 it/sec, feas=True, obj=0.0562]
INFO - 10:04:10: 42%|████▏ | 105/250 [00:00<00:00, 343.10 it/sec, feas=True, obj=0.0562]
INFO - 10:04:10: 42%|████▏ | 106/250 [00:00<00:00, 343.22 it/sec, feas=True, obj=0.0566]
INFO - 10:04:10: 43%|████▎ | 107/250 [00:00<00:00, 343.09 it/sec, feas=True, obj=0.0562]
INFO - 10:04:10: 43%|████▎ | 108/250 [00:00<00:00, 343.16 it/sec, feas=True, obj=0.0561]
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INFO - 10:04:10: 45%|████▌ | 113/250 [00:00<00:00, 343.45 it/sec, feas=True, obj=0.056]
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INFO - 10:04:10: 46%|████▋ | 116/250 [00:00<00:00, 343.52 it/sec, feas=True, obj=0.056]
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INFO - 10:04:10: 47%|████▋ | 118/250 [00:00<00:00, 343.70 it/sec, feas=True, obj=0.0559]
INFO - 10:04:10: 48%|████▊ | 119/250 [00:00<00:00, 343.76 it/sec, feas=True, obj=0.0559]
INFO - 10:04:10: 48%|████▊ | 120/250 [00:00<00:00, 343.66 it/sec, feas=True, obj=0.0562]
INFO - 10:04:10: 48%|████▊ | 121/250 [00:00<00:00, 343.70 it/sec, feas=True, obj=0.0558]
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INFO - 10:04:10: 51%|█████ | 127/250 [00:00<00:00, 343.80 it/sec, feas=True, obj=0.0558]
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INFO - 10:04:10: 52%|█████▏ | 130/250 [00:00<00:00, 344.03 it/sec, feas=True, obj=0.0558]
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INFO - 10:04:10: 53%|█████▎ | 132/250 [00:00<00:00, 344.10 it/sec, feas=True, obj=0.0558]
INFO - 10:04:10: 53%|█████▎ | 133/250 [00:00<00:00, 344.00 it/sec, feas=True, obj=0.0558]
INFO - 10:04:10: 54%|█████▎ | 134/250 [00:00<00:00, 344.10 it/sec, feas=True, obj=0.0557]
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INFO - 10:04:10: 54%|█████▍ | 136/250 [00:00<00:00, 344.17 it/sec, feas=True, obj=0.0557]
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INFO - 10:04:10: 56%|█████▌ | 139/250 [00:00<00:00, 344.35 it/sec, feas=True, obj=0.0557]
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INFO - 10:04:10: 57%|█████▋ | 143/250 [00:00<00:00, 344.46 it/sec, feas=True, obj=0.0557]
INFO - 10:04:10: 58%|█████▊ | 144/250 [00:00<00:00, 344.52 it/sec, feas=True, obj=0.0638]
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INFO - 10:04:10: 59%|█████▉ | 147/250 [00:00<00:00, 344.47 it/sec, feas=True, obj=0.0568]
INFO - 10:04:10: 59%|█████▉ | 148/250 [00:00<00:00, 344.58 it/sec, feas=True, obj=0.0557]
INFO - 10:04:10: 60%|█████▉ | 149/250 [00:00<00:00, 344.47 it/sec, feas=True, obj=0.0557]
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INFO - 10:04:10: 62%|██████▏ | 154/250 [00:00<00:00, 344.70 it/sec, feas=True, obj=0.0557]
INFO - 10:04:10: 62%|██████▏ | 155/250 [00:00<00:00, 344.62 it/sec, feas=True, obj=0.0557]
INFO - 10:04:10: 62%|██████▏ | 156/250 [00:00<00:00, 344.66 it/sec, feas=True, obj=0.0557]
INFO - 10:04:10: 63%|██████▎ | 157/250 [00:00<00:00, 344.72 it/sec, feas=True, obj=0.0557]
INFO - 10:04:10: 63%|██████▎ | 158/250 [00:00<00:00, 344.77 it/sec, feas=True, obj=0.0557]
INFO - 10:04:10: 64%|██████▎ | 159/250 [00:00<00:00, 344.81 it/sec, feas=True, obj=0.0557]
INFO - 10:04:10: 64%|██████▍ | 160/250 [00:00<00:00, 344.84 it/sec, feas=True, obj=0.0557]
INFO - 10:04:10: 64%|██████▍ | 161/250 [00:00<00:00, 344.87 it/sec, feas=True, obj=0.0557]
INFO - 10:04:10: 65%|██████▍ | 162/250 [00:00<00:00, 344.89 it/sec, feas=True, obj=0.0557]
INFO - 10:04:10: 65%|██████▌ | 163/250 [00:00<00:00, 344.99 it/sec, feas=True, obj=0.0557]
INFO - 10:04:10: 66%|██████▌ | 164/250 [00:00<00:00, 345.11 it/sec, feas=True, obj=0.0562]
INFO - 10:04:10: 66%|██████▌ | 165/250 [00:00<00:00, 344.98 it/sec, feas=True, obj=0.0557]
INFO - 10:04:10: 66%|██████▋ | 166/250 [00:00<00:00, 345.03 it/sec, feas=True, obj=0.0557]
INFO - 10:04:10: 67%|██████▋ | 167/250 [00:00<00:00, 345.06 it/sec, feas=True, obj=0.0557]
INFO - 10:04:10: 67%|██████▋ | 168/250 [00:00<00:00, 345.14 it/sec, feas=True, obj=0.0556]
INFO - 10:04:10: 68%|██████▊ | 169/250 [00:00<00:00, 343.75 it/sec, feas=True, obj=0.0556]
INFO - 10:04:10: 68%|██████▊ | 170/250 [00:00<00:00, 343.83 it/sec, feas=True, obj=0.0556]
INFO - 10:04:10: 68%|██████▊ | 171/250 [00:00<00:00, 343.88 it/sec, feas=True, obj=0.0556]
INFO - 10:04:10: 69%|██████▉ | 172/250 [00:00<00:00, 343.95 it/sec, feas=True, obj=0.0743]
INFO - 10:04:10: 69%|██████▉ | 173/250 [00:00<00:00, 344.01 it/sec, feas=True, obj=0.0556]
INFO - 10:04:10: 70%|██████▉ | 174/250 [00:00<00:00, 343.99 it/sec, feas=True, obj=0.0556]
INFO - 10:04:10: 70%|███████ | 175/250 [00:00<00:00, 344.05 it/sec, feas=True, obj=0.0556]
INFO - 10:04:10: 70%|███████ | 176/250 [00:00<00:00, 344.13 it/sec, feas=True, obj=0.0556]
INFO - 10:04:10: 71%|███████ | 177/250 [00:00<00:00, 344.18 it/sec, feas=True, obj=0.0556]
INFO - 10:04:10: 71%|███████ | 178/250 [00:00<00:00, 344.22 it/sec, feas=True, obj=0.0556]
INFO - 10:04:10: 72%|███████▏ | 179/250 [00:00<00:00, 344.26 it/sec, feas=True, obj=0.0556]
INFO - 10:04:10: 72%|███████▏ | 180/250 [00:00<00:00, 344.34 it/sec, feas=True, obj=0.0556]
INFO - 10:04:10: 72%|███████▏ | 181/250 [00:00<00:00, 344.39 it/sec, feas=True, obj=0.0556]
INFO - 10:04:10: 73%|███████▎ | 182/250 [00:00<00:00, 344.38 it/sec, feas=True, obj=0.0556]
INFO - 10:04:10: 73%|███████▎ | 183/250 [00:00<00:00, 344.47 it/sec, feas=True, obj=0.0557]
INFO - 10:04:10: 74%|███████▎ | 184/250 [00:00<00:00, 344.45 it/sec, feas=True, obj=0.0556]
INFO - 10:04:10: 74%|███████▍ | 185/250 [00:00<00:00, 344.43 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 74%|███████▍ | 186/250 [00:00<00:00, 344.42 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 75%|███████▍ | 187/250 [00:00<00:00, 344.40 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 75%|███████▌ | 188/250 [00:00<00:00, 344.40 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 76%|███████▌ | 189/250 [00:00<00:00, 344.40 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 76%|███████▌ | 190/250 [00:00<00:00, 343.16 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 76%|███████▋ | 191/250 [00:00<00:00, 343.21 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 77%|███████▋ | 192/250 [00:00<00:00, 343.27 it/sec, feas=True, obj=0.0556]
INFO - 10:04:10: 77%|███████▋ | 193/250 [00:00<00:00, 343.29 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 78%|███████▊ | 194/250 [00:00<00:00, 343.30 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 78%|███████▊ | 195/250 [00:00<00:00, 343.37 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 78%|███████▊ | 196/250 [00:00<00:00, 343.40 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 79%|███████▉ | 197/250 [00:00<00:00, 343.50 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 79%|███████▉ | 198/250 [00:00<00:00, 343.56 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 80%|███████▉ | 199/250 [00:00<00:00, 343.64 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 80%|████████ | 200/250 [00:00<00:00, 343.70 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 80%|████████ | 201/250 [00:00<00:00, 343.78 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 81%|████████ | 202/250 [00:00<00:00, 343.89 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 81%|████████ | 203/250 [00:00<00:00, 343.99 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 82%|████████▏ | 204/250 [00:00<00:00, 343.98 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 82%|████████▏ | 205/250 [00:00<00:00, 344.02 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 82%|████████▏ | 206/250 [00:00<00:00, 342.95 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 83%|████████▎ | 207/250 [00:00<00:00, 343.03 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 83%|████████▎ | 208/250 [00:00<00:00, 343.07 it/sec, feas=True, obj=0.0555]
INFO - 10:04:10: 84%|████████▎ | 209/250 [00:00<00:00, 343.07 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 84%|████████▍ | 210/250 [00:00<00:00, 343.09 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 84%|████████▍ | 211/250 [00:00<00:00, 343.13 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 85%|████████▍ | 212/250 [00:00<00:00, 343.17 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 85%|████████▌ | 213/250 [00:00<00:00, 343.12 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 86%|████████▌ | 214/250 [00:00<00:00, 343.19 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 86%|████████▌ | 215/250 [00:00<00:00, 343.30 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 86%|████████▋ | 216/250 [00:00<00:00, 343.37 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 87%|████████▋ | 217/250 [00:00<00:00, 343.46 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 87%|████████▋ | 218/250 [00:00<00:00, 343.53 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 88%|████████▊ | 219/250 [00:00<00:00, 343.61 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 88%|████████▊ | 220/250 [00:00<00:00, 343.68 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 88%|████████▊ | 221/250 [00:00<00:00, 343.73 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 89%|████████▉ | 222/250 [00:00<00:00, 343.82 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 89%|████████▉ | 223/250 [00:00<00:00, 343.90 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 90%|████████▉ | 224/250 [00:00<00:00, 343.96 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 90%|█████████ | 225/250 [00:00<00:00, 344.02 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 90%|█████████ | 226/250 [00:00<00:00, 344.07 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 91%|█████████ | 227/250 [00:00<00:00, 344.14 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 91%|█████████ | 228/250 [00:00<00:00, 344.22 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 92%|█████████▏| 229/250 [00:00<00:00, 344.28 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 92%|█████████▏| 230/250 [00:00<00:00, 344.36 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 92%|█████████▏| 231/250 [00:00<00:00, 344.42 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 93%|█████████▎| 232/250 [00:00<00:00, 344.49 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 93%|█████████▎| 233/250 [00:00<00:00, 344.53 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 94%|█████████▎| 234/250 [00:00<00:00, 344.58 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 94%|█████████▍| 235/250 [00:00<00:00, 344.62 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 94%|█████████▍| 236/250 [00:00<00:00, 344.68 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 95%|█████████▍| 237/250 [00:00<00:00, 344.14 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 95%|█████████▌| 238/250 [00:00<00:00, 344.07 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 96%|█████████▌| 239/250 [00:00<00:00, 344.09 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 96%|█████████▌| 240/250 [00:00<00:00, 344.08 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 96%|█████████▋| 241/250 [00:00<00:00, 344.11 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 97%|█████████▋| 242/250 [00:00<00:00, 344.06 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 97%|█████████▋| 243/250 [00:00<00:00, 344.04 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 98%|█████████▊| 244/250 [00:00<00:00, 344.09 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 98%|█████████▊| 245/250 [00:00<00:00, 344.12 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 98%|█████████▊| 246/250 [00:00<00:00, 344.12 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 99%|█████████▉| 247/250 [00:00<00:00, 344.18 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 99%|█████████▉| 248/250 [00:00<00:00, 344.23 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 100%|█████████▉| 249/250 [00:00<00:00, 344.30 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: 100%|██████████| 250/250 [00:00<00:00, 344.35 it/sec, feas=True, obj=0.0555]
INFO - 10:04:11: Optimization result:
INFO - 10:04:11: Optimizer info:
INFO - 10:04:11: Status: None
INFO - 10:04:11: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 10:04:11: Solution:
INFO - 10:04:11: Objective: 0.05551980081633118
INFO - 10:04:11: Design space:
INFO - 10:04:11: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:11: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:11: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:11: | left_asymptote | 0 | 0.002189910789918159 | 0.004918571102090962 | float |
INFO - 10:04:11: | capacity | 0.002245594325533182 | 0.03198775144678028 | 0.04918571102090963 | float |
INFO - 10:04:11: | growth_rate | 0.0001084690661636759 | 0.0002694793077266686 | 0.0009762215954730827 | float |
INFO - 10:04:11: | x_lag | 0 | 0 | 11330.45367049352 | float |
INFO - 10:04:11: | logistic_nu | 0.1 | 0.1326482646663305 | 10 | float |
INFO - 10:04:11: | asymptote_coeff | 0.1 | 1.343012700350683 | 10 | float |
INFO - 10:04:11: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:11: Optimization problem:
INFO - 10:04:11: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:11: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:11: over the design space:
INFO - 10:04:11: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:11: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:11: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:11: | left_asymptote | 0 | 0.00198156947419522 | 0.004918571102090962 | float |
INFO - 10:04:11: | capacity | 0.002245594325533182 | 0.02582279153696489 | 0.04918571102090963 | float |
INFO - 10:04:11: | growth_rate | 0.0001084690661636759 | 0.0006410200533194476 | 0.0009762215954730827 | float |
INFO - 10:04:11: | x_lag | 0 | 213.8645032069159 | 11330.45367049352 | float |
INFO - 10:04:11: | logistic_nu | 0.1 | 2.587510942749914 | 10 | float |
INFO - 10:04:11: | asymptote_coeff | 0.1 | 0.7930309738998174 | 10 | float |
INFO - 10:04:11: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:11: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:11: 1%| | 2/250 [00:00<00:00, 384.30 it/sec, feas=True, obj=0.388]
INFO - 10:04:11: 1%| | 3/250 [00:00<00:00, 398.52 it/sec, feas=True, obj=1.85]
INFO - 10:04:11: 2%|▏ | 4/250 [00:00<00:00, 389.42 it/sec, feas=True, obj=0.255]
INFO - 10:04:11: 2%|▏ | 5/250 [00:00<00:00, 383.82 it/sec, feas=True, obj=0.249]
INFO - 10:04:11: 2%|▏ | 6/250 [00:00<00:00, 380.94 it/sec, feas=True, obj=0.248]
INFO - 10:04:11: 3%|▎ | 7/250 [00:00<00:00, 378.95 it/sec, feas=True, obj=0.248]
INFO - 10:04:11: 3%|▎ | 8/250 [00:00<00:00, 377.22 it/sec, feas=True, obj=0.248]
INFO - 10:04:11: 4%|▎ | 9/250 [00:00<00:00, 375.71 it/sec, feas=True, obj=0.248]
INFO - 10:04:11: 4%|▍ | 10/250 [00:00<00:00, 374.61 it/sec, feas=True, obj=0.248]
INFO - 10:04:11: 4%|▍ | 11/250 [00:00<00:00, 374.08 it/sec, feas=True, obj=0.248]
INFO - 10:04:11: 5%|▍ | 12/250 [00:00<00:00, 372.97 it/sec, feas=True, obj=0.248]
INFO - 10:04:11: 5%|▌ | 13/250 [00:00<00:00, 371.96 it/sec, feas=True, obj=0.247]
INFO - 10:04:11: 6%|▌ | 14/250 [00:00<00:00, 371.64 it/sec, feas=True, obj=0.371]
INFO - 10:04:11: 6%|▌ | 15/250 [00:00<00:00, 371.30 it/sec, feas=True, obj=0.246]
INFO - 10:04:11: 6%|▋ | 16/250 [00:00<00:00, 371.14 it/sec, feas=True, obj=0.274]
INFO - 10:04:11: 7%|▋ | 17/250 [00:00<00:00, 370.70 it/sec, feas=True, obj=0.245]
INFO - 10:04:11: 7%|▋ | 18/250 [00:00<00:00, 370.49 it/sec, feas=True, obj=0.244]
INFO - 10:04:11: 8%|▊ | 19/250 [00:00<00:00, 353.76 it/sec, feas=True, obj=0.244]
INFO - 10:04:11: 8%|▊ | 20/250 [00:00<00:00, 353.97 it/sec, feas=True, obj=0.241]
INFO - 10:04:11: 8%|▊ | 21/250 [00:00<00:00, 354.06 it/sec, feas=True, obj=0.23]
INFO - 10:04:11: 9%|▉ | 22/250 [00:00<00:00, 353.70 it/sec, feas=True, obj=0.198]
INFO - 10:04:11: 9%|▉ | 23/250 [00:00<00:00, 346.88 it/sec, feas=True, obj=0.122]
INFO - 10:04:11: 10%|▉ | 24/250 [00:00<00:00, 347.17 it/sec, feas=True, obj=0.485]
INFO - 10:04:11: 10%|█ | 25/250 [00:00<00:00, 347.46 it/sec, feas=True, obj=0.0635]
INFO - 10:04:11: 10%|█ | 26/250 [00:00<00:00, 347.43 it/sec, feas=True, obj=0.0692]
INFO - 10:04:11: 11%|█ | 27/250 [00:00<00:00, 347.72 it/sec, feas=True, obj=0.0622]
INFO - 10:04:11: 11%|█ | 28/250 [00:00<00:00, 348.06 it/sec, feas=True, obj=0.0619]
INFO - 10:04:11: 12%|█▏ | 29/250 [00:00<00:00, 348.32 it/sec, feas=True, obj=0.0616]
INFO - 10:04:11: 12%|█▏ | 30/250 [00:00<00:00, 348.42 it/sec, feas=True, obj=0.0615]
INFO - 10:04:11: 12%|█▏ | 31/250 [00:00<00:00, 348.52 it/sec, feas=True, obj=0.0615]
INFO - 10:04:11: 13%|█▎ | 32/250 [00:00<00:00, 348.54 it/sec, feas=True, obj=0.0614]
INFO - 10:04:11: 13%|█▎ | 33/250 [00:00<00:00, 348.91 it/sec, feas=True, obj=0.0614]
INFO - 10:04:11: 14%|█▎ | 34/250 [00:00<00:00, 349.29 it/sec, feas=True, obj=0.0611]
INFO - 10:04:11: 14%|█▍ | 35/250 [00:00<00:00, 349.73 it/sec, feas=True, obj=0.0608]
INFO - 10:04:11: 14%|█▍ | 36/250 [00:00<00:00, 347.20 it/sec, feas=True, obj=0.0605]
INFO - 10:04:11: 15%|█▍ | 37/250 [00:00<00:00, 347.58 it/sec, feas=True, obj=0.0603]
INFO - 10:04:11: 15%|█▌ | 38/250 [00:00<00:00, 347.36 it/sec, feas=True, obj=0.0602]
INFO - 10:04:11: 16%|█▌ | 39/250 [00:00<00:00, 347.57 it/sec, feas=True, obj=0.0602]
INFO - 10:04:11: 16%|█▌ | 40/250 [00:00<00:00, 347.76 it/sec, feas=True, obj=0.0602]
INFO - 10:04:11: 16%|█▋ | 41/250 [00:00<00:00, 347.82 it/sec, feas=True, obj=0.0602]
INFO - 10:04:11: 17%|█▋ | 42/250 [00:00<00:00, 348.09 it/sec, feas=True, obj=0.0601]
INFO - 10:04:11: 17%|█▋ | 43/250 [00:00<00:00, 348.46 it/sec, feas=True, obj=0.0599]
INFO - 10:04:11: 18%|█▊ | 44/250 [00:00<00:00, 348.43 it/sec, feas=True, obj=0.06]
INFO - 10:04:11: 18%|█▊ | 45/250 [00:00<00:00, 348.28 it/sec, feas=True, obj=0.0597]
INFO - 10:04:11: 18%|█▊ | 46/250 [00:00<00:00, 348.06 it/sec, feas=True, obj=0.0595]
INFO - 10:04:11: 19%|█▉ | 47/250 [00:00<00:00, 347.78 it/sec, feas=True, obj=0.0586]
INFO - 10:04:11: 19%|█▉ | 48/250 [00:00<00:00, 347.60 it/sec, feas=True, obj=0.058]
INFO - 10:04:11: 20%|█▉ | 49/250 [00:00<00:00, 347.58 it/sec, feas=True, obj=0.0582]
INFO - 10:04:11: 20%|██ | 50/250 [00:00<00:00, 346.32 it/sec, feas=True, obj=0.0579]
INFO - 10:04:11: 20%|██ | 51/250 [00:00<00:00, 346.46 it/sec, feas=True, obj=0.0588]
INFO - 10:04:11: 21%|██ | 52/250 [00:00<00:00, 345.06 it/sec, feas=True, obj=0.0578]
INFO - 10:04:11: 21%|██ | 53/250 [00:00<00:00, 345.32 it/sec, feas=True, obj=0.0578]
INFO - 10:04:11: 22%|██▏ | 54/250 [00:00<00:00, 345.51 it/sec, feas=True, obj=0.0576]
INFO - 10:04:11: 22%|██▏ | 55/250 [00:00<00:00, 345.67 it/sec, feas=True, obj=0.0575]
INFO - 10:04:11: 22%|██▏ | 56/250 [00:00<00:00, 345.87 it/sec, feas=True, obj=0.0574]
INFO - 10:04:11: 23%|██▎ | 57/250 [00:00<00:00, 346.04 it/sec, feas=True, obj=0.0574]
INFO - 10:04:11: 23%|██▎ | 58/250 [00:00<00:00, 346.42 it/sec, feas=True, obj=0.0574]
INFO - 10:04:11: 24%|██▎ | 59/250 [00:00<00:00, 346.60 it/sec, feas=True, obj=0.0573]
INFO - 10:04:11: 24%|██▍ | 60/250 [00:00<00:00, 346.74 it/sec, feas=True, obj=0.0573]
INFO - 10:04:11: 24%|██▍ | 61/250 [00:00<00:00, 346.72 it/sec, feas=True, obj=0.0573]
INFO - 10:04:11: 25%|██▍ | 62/250 [00:00<00:00, 346.69 it/sec, feas=True, obj=0.0573]
INFO - 10:04:11: 25%|██▌ | 63/250 [00:00<00:00, 346.90 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 26%|██▌ | 64/250 [00:00<00:00, 347.26 it/sec, feas=True, obj=0.059]
INFO - 10:04:11: 26%|██▌ | 65/250 [00:00<00:00, 347.43 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 26%|██▋ | 66/250 [00:00<00:00, 347.70 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 27%|██▋ | 67/250 [00:00<00:00, 347.87 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 27%|██▋ | 68/250 [00:00<00:00, 348.10 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 28%|██▊ | 69/250 [00:00<00:00, 348.21 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 28%|██▊ | 70/250 [00:00<00:00, 348.35 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 28%|██▊ | 71/250 [00:00<00:00, 346.80 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 29%|██▉ | 72/250 [00:00<00:00, 347.11 it/sec, feas=True, obj=0.0573]
INFO - 10:04:11: 29%|██▉ | 73/250 [00:00<00:00, 347.26 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 30%|██▉ | 74/250 [00:00<00:00, 347.48 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 30%|███ | 75/250 [00:00<00:00, 347.53 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 30%|███ | 76/250 [00:00<00:00, 347.55 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 31%|███ | 77/250 [00:00<00:00, 347.71 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 31%|███ | 78/250 [00:00<00:00, 347.83 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 32%|███▏ | 79/250 [00:00<00:00, 347.90 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 32%|███▏ | 80/250 [00:00<00:00, 347.76 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 32%|███▏ | 81/250 [00:00<00:00, 347.83 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 33%|███▎ | 82/250 [00:00<00:00, 347.93 it/sec, feas=True, obj=0.0604]
INFO - 10:04:11: 33%|███▎ | 83/250 [00:00<00:00, 347.99 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 34%|███▎ | 84/250 [00:00<00:00, 348.04 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 34%|███▍ | 85/250 [00:00<00:00, 348.10 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 34%|███▍ | 86/250 [00:00<00:00, 348.06 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 35%|███▍ | 87/250 [00:00<00:00, 344.23 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 35%|███▌ | 88/250 [00:00<00:00, 342.22 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 36%|███▌ | 89/250 [00:00<00:00, 342.29 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 36%|███▌ | 90/250 [00:00<00:00, 342.36 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 36%|███▋ | 91/250 [00:00<00:00, 342.36 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 37%|███▋ | 92/250 [00:00<00:00, 342.43 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 37%|███▋ | 93/250 [00:00<00:00, 342.57 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 38%|███▊ | 94/250 [00:00<00:00, 342.48 it/sec, feas=True, obj=0.0651]
INFO - 10:04:11: 38%|███▊ | 95/250 [00:00<00:00, 342.65 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 38%|███▊ | 96/250 [00:00<00:00, 342.78 it/sec, feas=True, obj=0.0574]
INFO - 10:04:11: 39%|███▉ | 97/250 [00:00<00:00, 342.86 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 39%|███▉ | 98/250 [00:00<00:00, 343.02 it/sec, feas=True, obj=2.24e+3]
INFO - 10:04:11: 40%|███▉ | 99/250 [00:00<00:00, 342.94 it/sec, feas=True, obj=0.0681]
INFO - 10:04:11: 40%|████ | 100/250 [00:00<00:00, 343.05 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 40%|████ | 101/250 [00:00<00:00, 343.21 it/sec, feas=True, obj=0.127]
INFO - 10:04:11: 41%|████ | 102/250 [00:00<00:00, 343.34 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 41%|████ | 103/250 [00:00<00:00, 343.20 it/sec, feas=True, obj=0.0571]
INFO - 10:04:11: 42%|████▏ | 104/250 [00:00<00:00, 343.34 it/sec, feas=True, obj=0.0616]
INFO - 10:04:11: 42%|████▏ | 105/250 [00:00<00:00, 343.27 it/sec, feas=True, obj=0.0571]
INFO - 10:04:11: 42%|████▏ | 106/250 [00:00<00:00, 343.11 it/sec, feas=True, obj=0.0571]
INFO - 10:04:11: 43%|████▎ | 107/250 [00:00<00:00, 343.18 it/sec, feas=True, obj=0.0571]
INFO - 10:04:11: 43%|████▎ | 108/250 [00:00<00:00, 343.03 it/sec, feas=True, obj=0.0571]
INFO - 10:04:11: 44%|████▎ | 109/250 [00:00<00:00, 343.11 it/sec, feas=True, obj=0.0571]
INFO - 10:04:11: 44%|████▍ | 110/250 [00:00<00:00, 343.25 it/sec, feas=True, obj=0.0986]
INFO - 10:04:11: 44%|████▍ | 111/250 [00:00<00:00, 343.32 it/sec, feas=True, obj=0.0571]
INFO - 10:04:11: 45%|████▍ | 112/250 [00:00<00:00, 343.44 it/sec, feas=True, obj=0.115]
INFO - 10:04:11: 45%|████▌ | 113/250 [00:00<00:00, 343.48 it/sec, feas=True, obj=0.0571]
INFO - 10:04:11: 46%|████▌ | 114/250 [00:00<00:00, 343.54 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 46%|████▌ | 115/250 [00:00<00:00, 343.43 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 46%|████▋ | 116/250 [00:00<00:00, 343.51 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 47%|████▋ | 117/250 [00:00<00:00, 343.59 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 47%|████▋ | 118/250 [00:00<00:00, 343.67 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 48%|████▊ | 119/250 [00:00<00:00, 343.74 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 48%|████▊ | 120/250 [00:00<00:00, 343.77 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 48%|████▊ | 121/250 [00:00<00:00, 343.87 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 49%|████▉ | 122/250 [00:00<00:00, 343.69 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 49%|████▉ | 123/250 [00:00<00:00, 342.92 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 50%|████▉ | 124/250 [00:00<00:00, 343.05 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 50%|█████ | 125/250 [00:00<00:00, 342.93 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 50%|█████ | 126/250 [00:00<00:00, 342.92 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 51%|█████ | 127/250 [00:00<00:00, 342.94 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 51%|█████ | 128/250 [00:00<00:00, 342.85 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 52%|█████▏ | 129/250 [00:00<00:00, 342.84 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 52%|█████▏ | 130/250 [00:00<00:00, 342.91 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 52%|█████▏ | 131/250 [00:00<00:00, 342.80 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 53%|█████▎ | 132/250 [00:00<00:00, 342.88 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 53%|█████▎ | 133/250 [00:00<00:00, 342.97 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 54%|█████▎ | 134/250 [00:00<00:00, 342.91 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 54%|█████▍ | 135/250 [00:00<00:00, 342.99 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 54%|█████▍ | 136/250 [00:00<00:00, 343.09 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 55%|█████▍ | 137/250 [00:00<00:00, 343.18 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 55%|█████▌ | 138/250 [00:00<00:00, 343.26 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 56%|█████▌ | 139/250 [00:00<00:00, 343.32 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 56%|█████▌ | 140/250 [00:00<00:00, 343.24 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 56%|█████▋ | 141/250 [00:00<00:00, 343.30 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 57%|█████▋ | 142/250 [00:00<00:00, 343.38 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 57%|█████▋ | 143/250 [00:00<00:00, 343.28 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 58%|█████▊ | 144/250 [00:00<00:00, 343.36 it/sec, feas=True, obj=0.057]
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INFO - 10:04:11: 60%|█████▉ | 149/250 [00:00<00:00, 343.66 it/sec, feas=True, obj=0.0571]
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INFO - 10:04:11: 60%|██████ | 151/250 [00:00<00:00, 343.72 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 61%|██████ | 152/250 [00:00<00:00, 343.81 it/sec, feas=True, obj=0.057]
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INFO - 10:04:11: 62%|██████▏ | 156/250 [00:00<00:00, 343.80 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 63%|██████▎ | 157/250 [00:00<00:00, 343.73 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 63%|██████▎ | 158/250 [00:00<00:00, 343.73 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 64%|██████▎ | 159/250 [00:00<00:00, 343.65 it/sec, feas=True, obj=0.057]
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INFO - 10:04:11: 66%|██████▌ | 164/250 [00:00<00:00, 344.02 it/sec, feas=True, obj=0.057]
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INFO - 10:04:11: 67%|██████▋ | 167/250 [00:00<00:00, 344.20 it/sec, feas=True, obj=0.057]
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INFO - 10:04:11: 70%|███████ | 175/250 [00:00<00:00, 344.68 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 70%|███████ | 176/250 [00:00<00:00, 344.61 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 71%|███████ | 177/250 [00:00<00:00, 344.55 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 71%|███████ | 178/250 [00:00<00:00, 344.62 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 72%|███████▏ | 179/250 [00:00<00:00, 344.68 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 72%|███████▏ | 180/250 [00:00<00:00, 344.74 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 72%|███████▏ | 181/250 [00:00<00:00, 344.80 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 73%|███████▎ | 182/250 [00:00<00:00, 344.84 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 73%|███████▎ | 183/250 [00:00<00:00, 344.87 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 74%|███████▎ | 184/250 [00:00<00:00, 344.97 it/sec, feas=True, obj=0.0616]
INFO - 10:04:11: 74%|███████▍ | 185/250 [00:00<00:00, 345.02 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 74%|███████▍ | 186/250 [00:00<00:00, 345.08 it/sec, feas=True, obj=0.0593]
INFO - 10:04:11: 75%|███████▍ | 187/250 [00:00<00:00, 345.15 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 75%|███████▌ | 188/250 [00:00<00:00, 345.26 it/sec, feas=True, obj=0.0592]
INFO - 10:04:11: 76%|███████▌ | 189/250 [00:00<00:00, 345.32 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 76%|███████▌ | 190/250 [00:00<00:00, 345.39 it/sec, feas=True, obj=0.0592]
INFO - 10:04:11: 76%|███████▋ | 191/250 [00:00<00:00, 345.43 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 77%|███████▋ | 192/250 [00:00<00:00, 345.52 it/sec, feas=True, obj=0.0592]
INFO - 10:04:11: 77%|███████▋ | 193/250 [00:00<00:00, 345.58 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 78%|███████▊ | 194/250 [00:00<00:00, 345.63 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 78%|███████▊ | 195/250 [00:00<00:00, 345.66 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 78%|███████▊ | 196/250 [00:00<00:00, 345.70 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 79%|███████▉ | 197/250 [00:00<00:00, 345.75 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 79%|███████▉ | 198/250 [00:00<00:00, 345.84 it/sec, feas=True, obj=0.0572]
INFO - 10:04:11: 80%|███████▉ | 199/250 [00:00<00:00, 345.90 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 80%|████████ | 200/250 [00:00<00:00, 345.95 it/sec, feas=True, obj=0.081]
INFO - 10:04:11: 80%|████████ | 201/250 [00:00<00:00, 344.93 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 81%|████████ | 202/250 [00:00<00:00, 345.02 it/sec, feas=True, obj=0.0823]
INFO - 10:04:11: 81%|████████ | 203/250 [00:00<00:00, 344.97 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 82%|████████▏ | 204/250 [00:00<00:00, 344.96 it/sec, feas=True, obj=0.0822]
INFO - 10:04:11: 82%|████████▏ | 205/250 [00:00<00:00, 344.94 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 82%|████████▏ | 206/250 [00:00<00:00, 344.94 it/sec, feas=True, obj=0.0822]
INFO - 10:04:11: 83%|████████▎ | 207/250 [00:00<00:00, 344.97 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 83%|████████▎ | 208/250 [00:00<00:00, 345.05 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 84%|████████▎ | 209/250 [00:00<00:00, 345.04 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 84%|████████▍ | 210/250 [00:00<00:00, 345.00 it/sec, feas=True, obj=0.0668]
INFO - 10:04:11: 84%|████████▍ | 211/250 [00:00<00:00, 345.05 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 85%|████████▍ | 212/250 [00:00<00:00, 345.10 it/sec, feas=True, obj=0.0666]
INFO - 10:04:11: 85%|████████▌ | 213/250 [00:00<00:00, 345.14 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 86%|████████▌ | 214/250 [00:00<00:00, 345.19 it/sec, feas=True, obj=0.0664]
INFO - 10:04:11: 86%|████████▌ | 215/250 [00:00<00:00, 345.12 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 86%|████████▋ | 216/250 [00:00<00:00, 345.08 it/sec, feas=True, obj=0.0664]
INFO - 10:04:11: 87%|████████▋ | 217/250 [00:00<00:00, 345.14 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 87%|████████▋ | 218/250 [00:00<00:00, 345.20 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 88%|████████▊ | 219/250 [00:00<00:00, 345.26 it/sec, feas=True, obj=0.0573]
INFO - 10:04:11: 88%|████████▊ | 220/250 [00:00<00:00, 345.24 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 88%|████████▊ | 221/250 [00:00<00:00, 345.19 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 89%|████████▉ | 222/250 [00:00<00:00, 345.18 it/sec, feas=True, obj=0.0633]
INFO - 10:04:11: 89%|████████▉ | 223/250 [00:00<00:00, 345.02 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 90%|████████▉ | 224/250 [00:00<00:00, 345.01 it/sec, feas=True, obj=0.0634]
INFO - 10:04:11: 90%|█████████ | 225/250 [00:00<00:00, 344.97 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 90%|█████████ | 226/250 [00:00<00:00, 344.92 it/sec, feas=True, obj=0.0634]
INFO - 10:04:11: 91%|█████████ | 227/250 [00:00<00:00, 344.87 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 91%|█████████ | 228/250 [00:00<00:00, 344.85 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 92%|█████████▏| 229/250 [00:00<00:00, 344.79 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 92%|█████████▏| 230/250 [00:00<00:00, 344.67 it/sec, feas=True, obj=0.0575]
INFO - 10:04:11: 92%|█████████▏| 231/250 [00:00<00:00, 344.62 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 93%|█████████▎| 232/250 [00:00<00:00, 344.58 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 93%|█████████▎| 233/250 [00:00<00:00, 344.57 it/sec, feas=True, obj=0.0736]
INFO - 10:04:11: 94%|█████████▎| 234/250 [00:00<00:00, 344.51 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 94%|█████████▍| 235/250 [00:00<00:00, 344.47 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 94%|█████████▍| 236/250 [00:00<00:00, 344.33 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 95%|█████████▍| 237/250 [00:00<00:00, 344.28 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 95%|█████████▌| 238/250 [00:00<00:00, 344.26 it/sec, feas=True, obj=0.0739]
INFO - 10:04:11: 96%|█████████▌| 239/250 [00:00<00:00, 344.14 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 96%|█████████▌| 240/250 [00:00<00:00, 344.12 it/sec, feas=True, obj=0.0571]
INFO - 10:04:11: 96%|█████████▋| 241/250 [00:00<00:00, 344.08 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 97%|█████████▋| 242/250 [00:00<00:00, 343.98 it/sec, feas=True, obj=0.0736]
INFO - 10:04:11: 97%|█████████▋| 243/250 [00:00<00:00, 343.94 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 98%|█████████▊| 244/250 [00:00<00:00, 343.92 it/sec, feas=True, obj=0.057]
INFO - 10:04:11: 98%|█████████▊| 245/250 [00:00<00:00, 343.96 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 98%|█████████▊| 246/250 [00:00<00:00, 343.93 it/sec, feas=True, obj=0.0569]
INFO - 10:04:11: 99%|█████████▉| 247/250 [00:00<00:00, 343.88 it/sec, feas=True, obj=0.0568]
INFO - 10:04:11: 99%|█████████▉| 248/250 [00:00<00:00, 343.87 it/sec, feas=True, obj=0.1]
INFO - 10:04:11: 100%|█████████▉| 249/250 [00:00<00:00, 343.76 it/sec, feas=True, obj=0.0568]
INFO - 10:04:11: 100%|██████████| 250/250 [00:00<00:00, 343.79 it/sec, feas=True, obj=0.0568]
INFO - 10:04:11: Optimization result:
INFO - 10:04:11: Optimizer info:
INFO - 10:04:11: Status: None
INFO - 10:04:11: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 10:04:11: Solution:
INFO - 10:04:11: Objective: 0.05682379243200459
INFO - 10:04:11: Design space:
INFO - 10:04:11: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:11: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:11: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:11: | left_asymptote | 0 | 0.0009219389402853651 | 0.004918571102090962 | float |
INFO - 10:04:11: | capacity | 0.002245594325533182 | 0.002245594325533182 | 0.04918571102090963 | float |
INFO - 10:04:11: | growth_rate | 0.0001084690661636759 | 0.0002028483290534516 | 0.0009762215954730827 | float |
INFO - 10:04:11: | x_lag | 0 | 480.5685331749193 | 11330.45367049352 | float |
INFO - 10:04:11: | logistic_nu | 0.1 | 1.460048126646325 | 10 | float |
INFO - 10:04:11: | asymptote_coeff | 0.1 | 0.1000412796270311 | 10 | float |
INFO - 10:04:11: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:11: Optimization problem:
INFO - 10:04:11: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:11: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:11: over the design space:
INFO - 10:04:11: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:11: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:11: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:11: | left_asymptote | 0 | 0.001235087549715158 | 0.004918571102090962 | float |
INFO - 10:04:11: | capacity | 0.002245594325533182 | 0.04685820607520352 | 0.04918571102090963 | float |
INFO - 10:04:11: | growth_rate | 0.0001084690661636759 | 0.0007876922123916589 | 0.0009762215954730827 | float |
INFO - 10:04:11: | x_lag | 0 | 9029.103251054525 | 11330.45367049352 | float |
INFO - 10:04:11: | logistic_nu | 0.1 | 4.841685669245659 | 10 | float |
INFO - 10:04:11: | asymptote_coeff | 0.1 | 3.806533090469718 | 10 | float |
INFO - 10:04:11: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:11: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:11: 1%| | 2/250 [00:00<00:00, 373.34 it/sec, feas=True, obj=1]
INFO - 10:04:11: 1%| | 3/250 [00:00<00:00, 387.66 it/sec, feas=True, obj=0.826]
INFO - 10:04:11: 2%|▏ | 4/250 [00:00<00:00, 382.44 it/sec, feas=True, obj=0.258]
INFO - 10:04:11: 2%|▏ | 5/250 [00:00<00:00, 378.12 it/sec, feas=True, obj=0.345]
INFO - 10:04:11: 2%|▏ | 6/250 [00:00<00:00, 370.06 it/sec, feas=True, obj=0.25]
INFO - 10:04:11: 3%|▎ | 7/250 [00:00<00:00, 368.55 it/sec, feas=True, obj=0.25]
INFO - 10:04:11: 3%|▎ | 8/250 [00:00<00:00, 363.51 it/sec, feas=True, obj=0.25]
INFO - 10:04:11: Optimization result:
INFO - 10:04:11: Optimizer info:
INFO - 10:04:11: Status: 0
INFO - 10:04:11: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:11: Solution:
INFO - 10:04:11: Objective: 0.24999734446396887
INFO - 10:04:11: Design space:
INFO - 10:04:11: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:11: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:11: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:11: | left_asymptote | 0 | 0.003248248608543709 | 0.004918571102090962 | float |
INFO - 10:04:11: | capacity | 0.002245594325533182 | 0.006030047976197174 | 0.04918571102090963 | float |
INFO - 10:04:11: | growth_rate | 0.0001084690661636759 | 0.0009669579583689309 | 0.0009762215954730827 | float |
INFO - 10:04:11: | x_lag | 0 | 11330.45367049352 | 11330.45367049352 | float |
INFO - 10:04:11: | logistic_nu | 0.1 | 0.1000000774693786 | 10 | float |
INFO - 10:04:11: | asymptote_coeff | 0.1 | 9.161959285889084 | 10 | float |
INFO - 10:04:11: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:11: Optimization problem:
INFO - 10:04:11: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:11: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:11: over the design space:
INFO - 10:04:11: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:11: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:11: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:11: | left_asymptote | 0 | 0.004640223852580522 | 0.004918571102090962 | float |
INFO - 10:04:11: | capacity | 0.002245594325533182 | 0.01158896176044514 | 0.04918571102090963 | float |
INFO - 10:04:11: | growth_rate | 0.0001084690661636759 | 0.0006864992985331591 | 0.0009762215954730827 | float |
INFO - 10:04:11: | x_lag | 0 | 4108.750909832437 | 11330.45367049352 | float |
INFO - 10:04:11: | logistic_nu | 0.1 | 5.169901185402307 | 10 | float |
INFO - 10:04:11: | asymptote_coeff | 0.1 | 6.84670587772096 | 10 | float |
INFO - 10:04:11: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:11: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:11: 1%| | 2/250 [00:00<00:00, 370.93 it/sec, feas=True, obj=0.396]
INFO - 10:04:11: 1%| | 3/250 [00:00<00:00, 379.27 it/sec, feas=True, obj=0.273]
INFO - 10:04:11: 2%|▏ | 4/250 [00:00<00:00, 369.87 it/sec, feas=True, obj=0.301]
INFO - 10:04:11: 2%|▏ | 5/250 [00:00<00:00, 364.61 it/sec, feas=True, obj=0.251]
INFO - 10:04:11: 2%|▏ | 6/250 [00:00<00:00, 361.51 it/sec, feas=True, obj=0.243]
INFO - 10:04:11: 3%|▎ | 7/250 [00:00<00:00, 358.46 it/sec, feas=True, obj=0.218]
INFO - 10:04:11: 3%|▎ | 8/250 [00:00<00:00, 357.22 it/sec, feas=True, obj=0.253]
INFO - 10:04:11: 4%|▎ | 9/250 [00:00<00:00, 352.68 it/sec, feas=True, obj=0.176]
INFO - 10:04:11: 4%|▍ | 10/250 [00:00<00:00, 349.30 it/sec, feas=True, obj=0.453]
INFO - 10:04:11: 4%|▍ | 11/250 [00:00<00:00, 348.79 it/sec, feas=True, obj=0.113]
INFO - 10:04:11: 5%|▍ | 12/250 [00:00<00:00, 348.25 it/sec, feas=True, obj=1]
INFO - 10:04:11: 5%|▌ | 13/250 [00:00<00:00, 345.89 it/sec, feas=True, obj=0.085]
INFO - 10:04:11: 6%|▌ | 14/250 [00:00<00:00, 345.70 it/sec, feas=True, obj=0.11]
INFO - 10:04:11: 6%|▌ | 15/250 [00:00<00:00, 345.40 it/sec, feas=True, obj=0.0787]
INFO - 10:04:11: 6%|▋ | 16/250 [00:00<00:00, 344.69 it/sec, feas=True, obj=0.0725]
INFO - 10:04:11: 7%|▋ | 17/250 [00:00<00:00, 345.45 it/sec, feas=True, obj=0.0668]
INFO - 10:04:11: 7%|▋ | 18/250 [00:00<00:00, 339.41 it/sec, feas=True, obj=0.0653]
INFO - 10:04:11: 8%|▊ | 19/250 [00:00<00:00, 339.70 it/sec, feas=True, obj=0.0651]
INFO - 10:04:11: 8%|▊ | 20/250 [00:00<00:00, 340.18 it/sec, feas=True, obj=0.0651]
INFO - 10:04:11: 8%|▊ | 21/250 [00:00<00:00, 340.21 it/sec, feas=True, obj=0.0651]
INFO - 10:04:11: 9%|▉ | 22/250 [00:00<00:00, 340.62 it/sec, feas=True, obj=0.0651]
INFO - 10:04:11: 9%|▉ | 23/250 [00:00<00:00, 340.81 it/sec, feas=True, obj=0.0651]
INFO - 10:04:11: 10%|▉ | 24/250 [00:00<00:00, 341.23 it/sec, feas=True, obj=0.0651]
INFO - 10:04:11: 10%|█ | 25/250 [00:00<00:00, 341.13 it/sec, feas=True, obj=0.0648]
INFO - 10:04:11: 10%|█ | 26/250 [00:00<00:00, 340.50 it/sec, feas=True, obj=0.0644]
INFO - 10:04:11: 11%|█ | 27/250 [00:00<00:00, 341.03 it/sec, feas=True, obj=0.0637]
INFO - 10:04:11: 11%|█ | 28/250 [00:00<00:00, 341.63 it/sec, feas=True, obj=0.0627]
INFO - 10:04:11: 12%|█▏ | 29/250 [00:00<00:00, 342.13 it/sec, feas=True, obj=0.0602]
INFO - 10:04:11: 12%|█▏ | 30/250 [00:00<00:00, 342.73 it/sec, feas=True, obj=0.0607]
INFO - 10:04:11: 12%|█▏ | 31/250 [00:00<00:00, 343.18 it/sec, feas=True, obj=0.0595]
INFO - 10:04:11: 13%|█▎ | 32/250 [00:00<00:00, 342.82 it/sec, feas=True, obj=0.0587]
INFO - 10:04:11: 13%|█▎ | 33/250 [00:00<00:00, 343.47 it/sec, feas=True, obj=0.0587]
INFO - 10:04:11: 14%|█▎ | 34/250 [00:00<00:00, 343.87 it/sec, feas=True, obj=0.0586]
INFO - 10:04:11: 14%|█▍ | 35/250 [00:00<00:00, 343.73 it/sec, feas=True, obj=0.0585]
INFO - 10:04:11: 14%|█▍ | 36/250 [00:00<00:00, 343.61 it/sec, feas=True, obj=0.0582]
INFO - 10:04:11: 15%|█▍ | 37/250 [00:00<00:00, 343.70 it/sec, feas=True, obj=0.058]
INFO - 10:04:11: 15%|█▌ | 38/250 [00:00<00:00, 342.85 it/sec, feas=True, obj=0.0579]
INFO - 10:04:11: 16%|█▌ | 39/250 [00:00<00:00, 342.61 it/sec, feas=True, obj=0.0662]
INFO - 10:04:11: 16%|█▌ | 40/250 [00:00<00:00, 342.75 it/sec, feas=True, obj=0.0579]
INFO - 10:04:11: 16%|█▋ | 41/250 [00:00<00:00, 340.92 it/sec, feas=True, obj=0.0578]
INFO - 10:04:11: 17%|█▋ | 42/250 [00:00<00:00, 341.11 it/sec, feas=True, obj=0.0578]
INFO - 10:04:12: 17%|█▋ | 43/250 [00:00<00:00, 341.24 it/sec, feas=True, obj=0.0578]
INFO - 10:04:12: 18%|█▊ | 44/250 [00:00<00:00, 341.47 it/sec, feas=True, obj=0.0577]
INFO - 10:04:12: 18%|█▊ | 45/250 [00:00<00:00, 341.76 it/sec, feas=True, obj=0.0577]
INFO - 10:04:12: 18%|█▊ | 46/250 [00:00<00:00, 341.42 it/sec, feas=True, obj=0.0653]
INFO - 10:04:12: 19%|█▉ | 47/250 [00:00<00:00, 341.29 it/sec, feas=True, obj=0.0577]
INFO - 10:04:12: 19%|█▉ | 48/250 [00:00<00:00, 341.17 it/sec, feas=True, obj=0.0576]
INFO - 10:04:12: 20%|█▉ | 49/250 [00:00<00:00, 341.23 it/sec, feas=True, obj=0.0577]
INFO - 10:04:12: 20%|██ | 50/250 [00:00<00:00, 341.23 it/sec, feas=True, obj=0.0575]
INFO - 10:04:12: 20%|██ | 51/250 [00:00<00:00, 341.37 it/sec, feas=True, obj=0.0601]
INFO - 10:04:12: 21%|██ | 52/250 [00:00<00:00, 341.37 it/sec, feas=True, obj=0.0575]
INFO - 10:04:12: 21%|██ | 53/250 [00:00<00:00, 341.43 it/sec, feas=True, obj=0.0575]
INFO - 10:04:12: 22%|██▏ | 54/250 [00:00<00:00, 339.23 it/sec, feas=True, obj=0.0598]
INFO - 10:04:12: 22%|██▏ | 55/250 [00:00<00:00, 339.51 it/sec, feas=True, obj=0.0574]
INFO - 10:04:12: 22%|██▏ | 56/250 [00:00<00:00, 339.75 it/sec, feas=True, obj=0.0573]
INFO - 10:04:12: 23%|██▎ | 57/250 [00:00<00:00, 339.82 it/sec, feas=True, obj=0.0596]
INFO - 10:04:12: 23%|██▎ | 58/250 [00:00<00:00, 339.93 it/sec, feas=True, obj=0.0573]
INFO - 10:04:12: 24%|██▎ | 59/250 [00:00<00:00, 340.30 it/sec, feas=True, obj=0.0609]
INFO - 10:04:12: 24%|██▍ | 60/250 [00:00<00:00, 340.38 it/sec, feas=True, obj=0.0573]
INFO - 10:04:12: 24%|██▍ | 61/250 [00:00<00:00, 340.76 it/sec, feas=True, obj=0.0574]
INFO - 10:04:12: 25%|██▍ | 62/250 [00:00<00:00, 341.00 it/sec, feas=True, obj=0.0572]
INFO - 10:04:12: 25%|██▌ | 63/250 [00:00<00:00, 341.02 it/sec, feas=True, obj=0.0572]
INFO - 10:04:12: 26%|██▌ | 64/250 [00:00<00:00, 341.23 it/sec, feas=True, obj=0.0572]
INFO - 10:04:12: 26%|██▌ | 65/250 [00:00<00:00, 341.34 it/sec, feas=True, obj=0.0597]
INFO - 10:04:12: 26%|██▋ | 66/250 [00:00<00:00, 341.39 it/sec, feas=True, obj=0.0571]
INFO - 10:04:12: 27%|██▋ | 67/250 [00:00<00:00, 341.69 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 27%|██▋ | 68/250 [00:00<00:00, 342.00 it/sec, feas=True, obj=0.0574]
INFO - 10:04:12: 28%|██▊ | 69/250 [00:00<00:00, 341.92 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 28%|██▊ | 70/250 [00:00<00:00, 339.43 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 28%|██▊ | 71/250 [00:00<00:00, 339.50 it/sec, feas=True, obj=0.0568]
INFO - 10:04:12: 29%|██▉ | 72/250 [00:00<00:00, 339.82 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 29%|██▉ | 73/250 [00:00<00:00, 340.07 it/sec, feas=True, obj=0.0568]
INFO - 10:04:12: 30%|██▉ | 74/250 [00:00<00:00, 340.27 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 30%|███ | 75/250 [00:00<00:00, 340.53 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 30%|███ | 76/250 [00:00<00:00, 340.87 it/sec, feas=True, obj=0.0566]
INFO - 10:04:12: 31%|███ | 77/250 [00:00<00:00, 341.12 it/sec, feas=True, obj=0.0566]
INFO - 10:04:12: 31%|███ | 78/250 [00:00<00:00, 341.41 it/sec, feas=True, obj=0.0568]
INFO - 10:04:12: 32%|███▏ | 79/250 [00:00<00:00, 341.64 it/sec, feas=True, obj=0.0566]
INFO - 10:04:12: 32%|███▏ | 80/250 [00:00<00:00, 341.84 it/sec, feas=True, obj=0.0565]
INFO - 10:04:12: 32%|███▏ | 81/250 [00:00<00:00, 342.10 it/sec, feas=True, obj=0.0565]
INFO - 10:04:12: 33%|███▎ | 82/250 [00:00<00:00, 342.33 it/sec, feas=True, obj=0.0565]
INFO - 10:04:12: 33%|███▎ | 83/250 [00:00<00:00, 342.53 it/sec, feas=True, obj=0.0565]
INFO - 10:04:12: 34%|███▎ | 84/250 [00:00<00:00, 342.78 it/sec, feas=True, obj=0.0564]
INFO - 10:04:12: 34%|███▍ | 85/250 [00:00<00:00, 342.94 it/sec, feas=True, obj=0.0564]
INFO - 10:04:12: 34%|███▍ | 86/250 [00:00<00:00, 343.10 it/sec, feas=True, obj=0.0564]
INFO - 10:04:12: 35%|███▍ | 87/250 [00:00<00:00, 343.23 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 35%|███▌ | 88/250 [00:00<00:00, 343.40 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 36%|███▌ | 89/250 [00:00<00:00, 343.61 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 36%|███▌ | 90/250 [00:00<00:00, 343.85 it/sec, feas=True, obj=0.0571]
INFO - 10:04:12: 36%|███▋ | 91/250 [00:00<00:00, 344.00 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 37%|███▋ | 92/250 [00:00<00:00, 344.26 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 37%|███▋ | 93/250 [00:00<00:00, 341.63 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 38%|███▊ | 94/250 [00:00<00:00, 341.60 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 38%|███▊ | 95/250 [00:00<00:00, 341.76 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 38%|███▊ | 96/250 [00:00<00:00, 341.85 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 39%|███▉ | 97/250 [00:00<00:00, 341.86 it/sec, feas=True, obj=0.0606]
INFO - 10:04:12: 39%|███▉ | 98/250 [00:00<00:00, 341.95 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 40%|███▉ | 99/250 [00:00<00:00, 342.07 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 40%|████ | 100/250 [00:00<00:00, 342.18 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 40%|████ | 101/250 [00:00<00:00, 342.21 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 41%|████ | 102/250 [00:00<00:00, 342.41 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 41%|████ | 103/250 [00:00<00:00, 342.54 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 42%|████▏ | 104/250 [00:00<00:00, 342.66 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 42%|████▏ | 105/250 [00:00<00:00, 342.87 it/sec, feas=True, obj=0.058]
INFO - 10:04:12: 42%|████▏ | 106/250 [00:00<00:00, 342.77 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 43%|████▎ | 107/250 [00:00<00:00, 342.91 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 43%|████▎ | 108/250 [00:00<00:00, 343.05 it/sec, feas=True, obj=0.0572]
INFO - 10:04:12: 44%|████▎ | 109/250 [00:00<00:00, 343.12 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 44%|████▍ | 110/250 [00:00<00:00, 343.18 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 44%|████▍ | 111/250 [00:00<00:00, 343.29 it/sec, feas=True, obj=0.0565]
INFO - 10:04:12: 45%|████▍ | 112/250 [00:00<00:00, 343.36 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 45%|████▌ | 113/250 [00:00<00:00, 343.48 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 46%|████▌ | 114/250 [00:00<00:00, 343.43 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 46%|████▌ | 115/250 [00:00<00:00, 343.50 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 46%|████▋ | 116/250 [00:00<00:00, 343.59 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 47%|████▋ | 117/250 [00:00<00:00, 343.62 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 47%|████▋ | 118/250 [00:00<00:00, 343.76 it/sec, feas=True, obj=0.0564]
INFO - 10:04:12: 48%|████▊ | 119/250 [00:00<00:00, 343.78 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 48%|████▊ | 120/250 [00:00<00:00, 343.89 it/sec, feas=True, obj=0.0562]
INFO - 10:04:12: 48%|████▊ | 121/250 [00:00<00:00, 343.90 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 49%|████▉ | 122/250 [00:00<00:00, 343.77 it/sec, feas=True, obj=0.0562]
INFO - 10:04:12: 49%|████▉ | 123/250 [00:00<00:00, 343.89 it/sec, feas=True, obj=0.0574]
INFO - 10:04:12: 50%|████▉ | 124/250 [00:00<00:00, 343.26 it/sec, feas=True, obj=0.0562]
INFO - 10:04:12: 50%|█████ | 125/250 [00:00<00:00, 343.43 it/sec, feas=True, obj=0.0563]
INFO - 10:04:12: 50%|█████ | 126/250 [00:00<00:00, 343.41 it/sec, feas=True, obj=0.0562]
INFO - 10:04:12: 51%|█████ | 127/250 [00:00<00:00, 343.50 it/sec, feas=True, obj=0.0562]
INFO - 10:04:12: 51%|█████ | 128/250 [00:00<00:00, 343.57 it/sec, feas=True, obj=0.0562]
INFO - 10:04:12: 52%|█████▏ | 129/250 [00:00<00:00, 343.62 it/sec, feas=True, obj=0.0562]
INFO - 10:04:12: 52%|█████▏ | 130/250 [00:00<00:00, 343.69 it/sec, feas=True, obj=0.0561]
INFO - 10:04:12: 52%|█████▏ | 131/250 [00:00<00:00, 343.84 it/sec, feas=True, obj=0.0577]
INFO - 10:04:12: 53%|█████▎ | 132/250 [00:00<00:00, 343.96 it/sec, feas=True, obj=0.0561]
INFO - 10:04:12: 53%|█████▎ | 133/250 [00:00<00:00, 343.96 it/sec, feas=True, obj=0.0561]
INFO - 10:04:12: 54%|█████▎ | 134/250 [00:00<00:00, 343.93 it/sec, feas=True, obj=0.0561]
INFO - 10:04:12: 54%|█████▍ | 135/250 [00:00<00:00, 343.95 it/sec, feas=True, obj=0.0561]
INFO - 10:04:12: 54%|█████▍ | 136/250 [00:00<00:00, 344.04 it/sec, feas=True, obj=0.0561]
INFO - 10:04:12: 55%|█████▍ | 137/250 [00:00<00:00, 344.17 it/sec, feas=True, obj=0.0561]
INFO - 10:04:12: 55%|█████▌ | 138/250 [00:00<00:00, 344.28 it/sec, feas=True, obj=0.0573]
INFO - 10:04:12: 56%|█████▌ | 139/250 [00:00<00:00, 344.38 it/sec, feas=True, obj=0.0561]
INFO - 10:04:12: 56%|█████▌ | 140/250 [00:00<00:00, 343.00 it/sec, feas=True, obj=0.0561]
INFO - 10:04:12: 56%|█████▋ | 141/250 [00:00<00:00, 343.09 it/sec, feas=True, obj=0.0561]
INFO - 10:04:12: 57%|█████▋ | 142/250 [00:00<00:00, 343.16 it/sec, feas=True, obj=0.056]
INFO - 10:04:12: 57%|█████▋ | 143/250 [00:00<00:00, 343.21 it/sec, feas=True, obj=0.056]
INFO - 10:04:12: 58%|█████▊ | 144/250 [00:00<00:00, 343.26 it/sec, feas=True, obj=0.056]
INFO - 10:04:12: 58%|█████▊ | 145/250 [00:00<00:00, 343.32 it/sec, feas=True, obj=0.056]
INFO - 10:04:12: 58%|█████▊ | 146/250 [00:00<00:00, 343.37 it/sec, feas=True, obj=0.056]
INFO - 10:04:12: 59%|█████▉ | 147/250 [00:00<00:00, 343.45 it/sec, feas=True, obj=0.056]
INFO - 10:04:12: 59%|█████▉ | 148/250 [00:00<00:00, 343.54 it/sec, feas=True, obj=0.056]
INFO - 10:04:12: 60%|█████▉ | 149/250 [00:00<00:00, 343.59 it/sec, feas=True, obj=0.056]
INFO - 10:04:12: 60%|██████ | 150/250 [00:00<00:00, 343.59 it/sec, feas=True, obj=0.056]
INFO - 10:04:12: 60%|██████ | 151/250 [00:00<00:00, 343.65 it/sec, feas=True, obj=0.056]
INFO - 10:04:12: 61%|██████ | 152/250 [00:00<00:00, 343.75 it/sec, feas=True, obj=0.056]
INFO - 10:04:12: 61%|██████ | 153/250 [00:00<00:00, 343.78 it/sec, feas=True, obj=0.0559]
INFO - 10:04:12: 62%|██████▏ | 154/250 [00:00<00:00, 343.89 it/sec, feas=True, obj=0.0559]
INFO - 10:04:12: 62%|██████▏ | 155/250 [00:00<00:00, 343.96 it/sec, feas=True, obj=0.0559]
INFO - 10:04:12: 62%|██████▏ | 156/250 [00:00<00:00, 342.68 it/sec, feas=True, obj=0.0559]
INFO - 10:04:12: 63%|██████▎ | 157/250 [00:00<00:00, 342.76 it/sec, feas=True, obj=0.0559]
INFO - 10:04:12: 63%|██████▎ | 158/250 [00:00<00:00, 342.77 it/sec, feas=True, obj=0.0559]
INFO - 10:04:12: 64%|██████▎ | 159/250 [00:00<00:00, 341.73 it/sec, feas=True, obj=0.0559]
INFO - 10:04:12: 64%|██████▍ | 160/250 [00:00<00:00, 341.83 it/sec, feas=True, obj=0.0559]
INFO - 10:04:12: 64%|██████▍ | 161/250 [00:00<00:00, 341.64 it/sec, feas=True, obj=0.0559]
INFO - 10:04:12: 65%|██████▍ | 162/250 [00:00<00:00, 341.78 it/sec, feas=True, obj=0.0559]
INFO - 10:04:12: 65%|██████▌ | 163/250 [00:00<00:00, 340.81 it/sec, feas=True, obj=0.0558]
INFO - 10:04:12: 66%|██████▌ | 164/250 [00:00<00:00, 340.93 it/sec, feas=True, obj=0.0561]
INFO - 10:04:12: 66%|██████▌ | 165/250 [00:00<00:00, 340.42 it/sec, feas=True, obj=0.0558]
INFO - 10:04:12: 66%|██████▋ | 166/250 [00:00<00:00, 340.53 it/sec, feas=True, obj=0.0578]
INFO - 10:04:12: 67%|██████▋ | 167/250 [00:00<00:00, 340.62 it/sec, feas=True, obj=0.0558]
INFO - 10:04:12: 67%|██████▋ | 168/250 [00:00<00:00, 339.19 it/sec, feas=True, obj=0.0558]
INFO - 10:04:12: 68%|██████▊ | 169/250 [00:00<00:00, 339.25 it/sec, feas=True, obj=0.0558]
INFO - 10:04:12: 68%|██████▊ | 170/250 [00:00<00:00, 339.28 it/sec, feas=True, obj=0.0558]
INFO - 10:04:12: 68%|██████▊ | 171/250 [00:00<00:00, 339.37 it/sec, feas=True, obj=0.0558]
INFO - 10:04:12: 69%|██████▉ | 172/250 [00:00<00:00, 339.46 it/sec, feas=True, obj=0.0558]
INFO - 10:04:12: 69%|██████▉ | 173/250 [00:00<00:00, 339.57 it/sec, feas=True, obj=0.0558]
INFO - 10:04:12: 70%|██████▉ | 174/250 [00:00<00:00, 339.67 it/sec, feas=True, obj=0.0558]
INFO - 10:04:12: 70%|███████ | 175/250 [00:00<00:00, 339.78 it/sec, feas=True, obj=0.0558]
INFO - 10:04:12: 70%|███████ | 176/250 [00:00<00:00, 339.88 it/sec, feas=True, obj=0.0558]
INFO - 10:04:12: 71%|███████ | 177/250 [00:00<00:00, 339.95 it/sec, feas=True, obj=0.0558]
INFO - 10:04:12: 71%|███████ | 178/250 [00:00<00:00, 340.04 it/sec, feas=True, obj=0.0558]
INFO - 10:04:12: 72%|███████▏ | 179/250 [00:00<00:00, 339.99 it/sec, feas=True, obj=0.0557]
INFO - 10:04:12: 72%|███████▏ | 180/250 [00:00<00:00, 339.93 it/sec, feas=True, obj=0.0557]
INFO - 10:04:12: 72%|███████▏ | 181/250 [00:00<00:00, 340.01 it/sec, feas=True, obj=0.0574]
INFO - 10:04:12: 73%|███████▎ | 182/250 [00:00<00:00, 340.07 it/sec, feas=True, obj=0.0557]
INFO - 10:04:12: 73%|███████▎ | 183/250 [00:00<00:00, 340.06 it/sec, feas=True, obj=0.0557]
INFO - 10:04:12: 74%|███████▎ | 184/250 [00:00<00:00, 340.02 it/sec, feas=True, obj=0.0557]
INFO - 10:04:12: 74%|███████▍ | 185/250 [00:00<00:00, 340.10 it/sec, feas=True, obj=0.0557]
INFO - 10:04:12: 74%|███████▍ | 186/250 [00:00<00:00, 340.04 it/sec, feas=True, obj=0.0556]
INFO - 10:04:12: 75%|███████▍ | 187/250 [00:00<00:00, 340.11 it/sec, feas=True, obj=0.0556]
INFO - 10:04:12: 75%|███████▌ | 188/250 [00:00<00:00, 340.16 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 76%|███████▌ | 189/250 [00:00<00:00, 340.20 it/sec, feas=True, obj=0.0556]
INFO - 10:04:12: 76%|███████▌ | 190/250 [00:00<00:00, 340.22 it/sec, feas=True, obj=0.0556]
INFO - 10:04:12: 76%|███████▋ | 191/250 [00:00<00:00, 340.26 it/sec, feas=True, obj=0.0556]
INFO - 10:04:12: 77%|███████▋ | 192/250 [00:00<00:00, 340.31 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 77%|███████▋ | 193/250 [00:00<00:00, 340.28 it/sec, feas=True, obj=0.0556]
INFO - 10:04:12: 78%|███████▊ | 194/250 [00:00<00:00, 340.34 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 78%|███████▊ | 195/250 [00:00<00:00, 340.38 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 78%|███████▊ | 196/250 [00:00<00:00, 340.32 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 79%|███████▉ | 197/250 [00:00<00:00, 340.41 it/sec, feas=True, obj=0.0684]
INFO - 10:04:12: 79%|███████▉ | 198/250 [00:00<00:00, 340.45 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 80%|███████▉ | 199/250 [00:00<00:00, 340.41 it/sec, feas=True, obj=0.0672]
INFO - 10:04:12: 80%|████████ | 200/250 [00:00<00:00, 340.47 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 80%|████████ | 201/250 [00:00<00:00, 340.55 it/sec, feas=True, obj=0.0672]
INFO - 10:04:12: 81%|████████ | 202/250 [00:00<00:00, 340.50 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 81%|████████ | 203/250 [00:00<00:00, 340.60 it/sec, feas=True, obj=0.0672]
INFO - 10:04:12: 82%|████████▏ | 204/250 [00:00<00:00, 340.63 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 82%|████████▏ | 205/250 [00:00<00:00, 340.17 it/sec, feas=True, obj=0.0672]
INFO - 10:04:12: 82%|████████▏ | 206/250 [00:00<00:00, 340.22 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 83%|████████▎ | 207/250 [00:00<00:00, 340.17 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 83%|████████▎ | 208/250 [00:00<00:00, 340.23 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 84%|████████▎ | 209/250 [00:00<00:00, 340.22 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 84%|████████▍ | 210/250 [00:00<00:00, 340.24 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 84%|████████▍ | 211/250 [00:00<00:00, 340.30 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 85%|████████▍ | 212/250 [00:00<00:00, 340.35 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 85%|████████▌ | 213/250 [00:00<00:00, 340.41 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 86%|████████▌ | 214/250 [00:00<00:00, 340.46 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 86%|████████▌ | 215/250 [00:00<00:00, 340.51 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 86%|████████▋ | 216/250 [00:00<00:00, 340.48 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 87%|████████▋ | 217/250 [00:00<00:00, 340.54 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: 87%|████████▋ | 218/250 [00:00<00:00, 340.62 it/sec, feas=True, obj=0.0555]
INFO - 10:04:12: Optimization result:
INFO - 10:04:12: Optimizer info:
INFO - 10:04:12: Status: None
INFO - 10:04:12: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:12: Solution:
INFO - 10:04:12: Objective: 0.05550577697199415
INFO - 10:04:12: Design space:
INFO - 10:04:12: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:12: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:12: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:12: | left_asymptote | 0 | 0.00219450780039151 | 0.004918571102090962 | float |
INFO - 10:04:12: | capacity | 0.002245594325533182 | 0.04918547911388099 | 0.04918571102090963 | float |
INFO - 10:04:12: | growth_rate | 0.0001084690661636759 | 0.000269926225107288 | 0.0009762215954730827 | float |
INFO - 10:04:12: | x_lag | 0 | 0 | 11330.45367049352 | float |
INFO - 10:04:12: | logistic_nu | 0.1 | 0.1267851925671297 | 10 | float |
INFO - 10:04:12: | asymptote_coeff | 0.1 | 1.40492956399514 | 10 | float |
INFO - 10:04:12: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:12: Optimization problem:
INFO - 10:04:12: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:12: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:12: over the design space:
INFO - 10:04:12: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:12: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:12: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:12: | left_asymptote | 0 | 0.003509332449570953 | 0.004918571102090962 | float |
INFO - 10:04:12: | capacity | 0.002245594325533182 | 0.00388299733038438 | 0.04918571102090963 | float |
INFO - 10:04:12: | growth_rate | 0.0001084690661636759 | 0.0004652283140286907 | 0.0009762215954730827 | float |
INFO - 10:04:12: | x_lag | 0 | 8325.81857887932 | 11330.45367049352 | float |
INFO - 10:04:12: | logistic_nu | 0.1 | 3.561734423309778 | 10 | float |
INFO - 10:04:12: | asymptote_coeff | 0.1 | 0.196786351209056 | 10 | float |
INFO - 10:04:12: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:12: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:12: 1%| | 2/250 [00:00<00:00, 376.42 it/sec, feas=True, obj=0.477]
INFO - 10:04:12: 1%| | 3/250 [00:00<00:00, 390.12 it/sec, feas=True, obj=0.188]
INFO - 10:04:12: 2%|▏ | 4/250 [00:00<00:00, 381.75 it/sec, feas=True, obj=0.139]
INFO - 10:04:12: 2%|▏ | 5/250 [00:00<00:00, 371.66 it/sec, feas=True, obj=0.0973]
INFO - 10:04:12: 2%|▏ | 6/250 [00:00<00:00, 369.47 it/sec, feas=True, obj=0.0966]
INFO - 10:04:12: 3%|▎ | 7/250 [00:00<00:00, 368.25 it/sec, feas=True, obj=0.065]
INFO - 10:04:12: 3%|▎ | 8/250 [00:00<00:00, 367.32 it/sec, feas=True, obj=0.0665]
INFO - 10:04:12: 4%|▎ | 9/250 [00:00<00:00, 365.88 it/sec, feas=True, obj=0.0611]
INFO - 10:04:12: 4%|▍ | 10/250 [00:00<00:00, 365.01 it/sec, feas=True, obj=0.061]
INFO - 10:04:12: 4%|▍ | 11/250 [00:00<00:00, 362.49 it/sec, feas=True, obj=0.061]
INFO - 10:04:12: 5%|▍ | 12/250 [00:00<00:00, 362.68 it/sec, feas=True, obj=0.0606]
INFO - 10:04:12: 5%|▌ | 13/250 [00:00<00:00, 362.34 it/sec, feas=True, obj=0.0593]
INFO - 10:04:12: 6%|▌ | 14/250 [00:00<00:00, 360.22 it/sec, feas=True, obj=0.0581]
INFO - 10:04:12: 6%|▌ | 15/250 [00:00<00:00, 360.04 it/sec, feas=True, obj=0.0577]
INFO - 10:04:12: 6%|▋ | 16/250 [00:00<00:00, 359.82 it/sec, feas=True, obj=0.0576]
INFO - 10:04:12: 7%|▋ | 17/250 [00:00<00:00, 357.73 it/sec, feas=True, obj=0.0576]
INFO - 10:04:12: 7%|▋ | 18/250 [00:00<00:00, 357.84 it/sec, feas=True, obj=0.0576]
INFO - 10:04:12: 8%|▊ | 19/250 [00:00<00:00, 356.41 it/sec, feas=True, obj=0.0576]
INFO - 10:04:12: 8%|▊ | 20/250 [00:00<00:00, 356.21 it/sec, feas=True, obj=0.0576]
INFO - 10:04:12: 8%|▊ | 21/250 [00:00<00:00, 356.54 it/sec, feas=True, obj=0.0576]
INFO - 10:04:12: 9%|▉ | 22/250 [00:00<00:00, 356.32 it/sec, feas=True, obj=0.0576]
INFO - 10:04:12: 9%|▉ | 23/250 [00:00<00:00, 355.00 it/sec, feas=True, obj=0.0576]
INFO - 10:04:12: 10%|▉ | 24/250 [00:00<00:00, 354.84 it/sec, feas=True, obj=0.0576]
INFO - 10:04:12: 10%|█ | 25/250 [00:00<00:00, 354.61 it/sec, feas=True, obj=0.0576]
INFO - 10:04:12: 10%|█ | 26/250 [00:00<00:00, 353.65 it/sec, feas=True, obj=0.0575]
INFO - 10:04:12: 11%|█ | 27/250 [00:00<00:00, 353.84 it/sec, feas=True, obj=0.0581]
INFO - 10:04:12: 11%|█ | 28/250 [00:00<00:00, 353.73 it/sec, feas=True, obj=0.0574]
INFO - 10:04:12: 12%|█▏ | 29/250 [00:00<00:00, 353.29 it/sec, feas=True, obj=0.0586]
INFO - 10:04:12: 12%|█▏ | 30/250 [00:00<00:00, 353.25 it/sec, feas=True, obj=0.0573]
INFO - 10:04:12: 12%|█▏ | 31/250 [00:00<00:00, 353.29 it/sec, feas=True, obj=0.0572]
INFO - 10:04:12: 13%|█▎ | 32/250 [00:00<00:00, 353.34 it/sec, feas=True, obj=0.0571]
INFO - 10:04:12: 13%|█▎ | 33/250 [00:00<00:00, 352.70 it/sec, feas=True, obj=0.0571]
INFO - 10:04:12: 14%|█▎ | 34/250 [00:00<00:00, 352.80 it/sec, feas=True, obj=0.0571]
INFO - 10:04:12: 14%|█▍ | 35/250 [00:00<00:00, 353.08 it/sec, feas=True, obj=0.0571]
INFO - 10:04:12: 14%|█▍ | 36/250 [00:00<00:00, 352.65 it/sec, feas=True, obj=0.0571]
INFO - 10:04:12: 15%|█▍ | 37/250 [00:00<00:00, 352.76 it/sec, feas=True, obj=0.0571]
INFO - 10:04:12: 15%|█▌ | 38/250 [00:00<00:00, 352.79 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 16%|█▌ | 39/250 [00:00<00:00, 352.49 it/sec, feas=True, obj=0.0578]
INFO - 10:04:12: 16%|█▌ | 40/250 [00:00<00:00, 348.95 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 16%|█▋ | 41/250 [00:00<00:00, 348.96 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 17%|█▋ | 42/250 [00:00<00:00, 349.15 it/sec, feas=True, obj=0.0571]
INFO - 10:04:12: 17%|█▋ | 43/250 [00:00<00:00, 349.14 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 18%|█▊ | 44/250 [00:00<00:00, 348.72 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 18%|█▊ | 45/250 [00:00<00:00, 348.80 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 18%|█▊ | 46/250 [00:00<00:00, 348.95 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 19%|█▉ | 47/250 [00:00<00:00, 349.05 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 19%|█▉ | 48/250 [00:00<00:00, 349.04 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 20%|█▉ | 49/250 [00:00<00:00, 349.12 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 20%|██ | 50/250 [00:00<00:00, 349.16 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 20%|██ | 51/250 [00:00<00:00, 349.27 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 21%|██ | 52/250 [00:00<00:00, 349.41 it/sec, feas=True, obj=0.0575]
INFO - 10:04:12: 21%|██ | 53/250 [00:00<00:00, 349.08 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 22%|██▏ | 54/250 [00:00<00:00, 349.08 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 22%|██▏ | 55/250 [00:00<00:00, 349.07 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 22%|██▏ | 56/250 [00:00<00:00, 348.82 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 23%|██▎ | 57/250 [00:00<00:00, 348.93 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 23%|██▎ | 58/250 [00:00<00:00, 348.66 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 24%|██▎ | 59/250 [00:00<00:00, 348.35 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 24%|██▍ | 60/250 [00:00<00:00, 348.35 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 24%|██▍ | 61/250 [00:00<00:00, 348.02 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 25%|██▍ | 62/250 [00:00<00:00, 348.07 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 25%|██▌ | 63/250 [00:00<00:00, 348.20 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 26%|██▌ | 64/250 [00:00<00:00, 348.39 it/sec, feas=True, obj=0.0571]
INFO - 10:04:12: 26%|██▌ | 65/250 [00:00<00:00, 348.47 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 26%|██▋ | 66/250 [00:00<00:00, 348.58 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 27%|██▋ | 67/250 [00:00<00:00, 348.72 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 27%|██▋ | 68/250 [00:00<00:00, 348.64 it/sec, feas=True, obj=0.0582]
INFO - 10:04:12: 28%|██▊ | 69/250 [00:00<00:00, 348.78 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 28%|██▊ | 70/250 [00:00<00:00, 348.86 it/sec, feas=True, obj=0.057]
INFO - 10:04:12: 28%|██▊ | 71/250 [00:00<00:00, 349.01 it/sec, feas=True, obj=0.0821]
INFO - 10:04:12: 29%|██▉ | 72/250 [00:00<00:00, 348.87 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 29%|██▉ | 73/250 [00:00<00:00, 348.97 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 30%|██▉ | 74/250 [00:00<00:00, 349.20 it/sec, feas=True, obj=0.351]
INFO - 10:04:12: 30%|███ | 75/250 [00:00<00:00, 349.21 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 30%|███ | 76/250 [00:00<00:00, 349.28 it/sec, feas=True, obj=0.345]
INFO - 10:04:12: 31%|███ | 77/250 [00:00<00:00, 349.32 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 31%|███ | 78/250 [00:00<00:00, 349.44 it/sec, feas=True, obj=0.338]
INFO - 10:04:12: 32%|███▏ | 79/250 [00:00<00:00, 349.16 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 32%|███▏ | 80/250 [00:00<00:00, 349.29 it/sec, feas=True, obj=0.336]
INFO - 10:04:12: 32%|███▏ | 81/250 [00:00<00:00, 349.30 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 33%|███▎ | 82/250 [00:00<00:00, 349.39 it/sec, feas=True, obj=0.331]
INFO - 10:04:12: 33%|███▎ | 83/250 [00:00<00:00, 349.41 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 34%|███▎ | 84/250 [00:00<00:00, 349.53 it/sec, feas=True, obj=0.327]
INFO - 10:04:12: 34%|███▍ | 85/250 [00:00<00:00, 349.38 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 34%|███▍ | 86/250 [00:00<00:00, 349.41 it/sec, feas=True, obj=0.315]
INFO - 10:04:12: 35%|███▍ | 87/250 [00:00<00:00, 349.51 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 35%|███▌ | 88/250 [00:00<00:00, 349.63 it/sec, feas=True, obj=0.308]
INFO - 10:04:12: 36%|███▌ | 89/250 [00:00<00:00, 349.67 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 36%|███▌ | 90/250 [00:00<00:00, 349.78 it/sec, feas=True, obj=0.276]
INFO - 10:04:12: 36%|███▋ | 91/250 [00:00<00:00, 349.81 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 37%|███▋ | 92/250 [00:00<00:00, 349.71 it/sec, feas=True, obj=0.272]
INFO - 10:04:12: 37%|███▋ | 93/250 [00:00<00:00, 349.77 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 38%|███▊ | 94/250 [00:00<00:00, 349.82 it/sec, feas=True, obj=0.271]
INFO - 10:04:12: 38%|███▊ | 95/250 [00:00<00:00, 349.78 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 38%|███▊ | 96/250 [00:00<00:00, 349.60 it/sec, feas=True, obj=0.267]
INFO - 10:04:12: 39%|███▉ | 97/250 [00:00<00:00, 349.59 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 39%|███▉ | 98/250 [00:00<00:00, 349.66 it/sec, feas=True, obj=0.266]
INFO - 10:04:12: 40%|███▉ | 99/250 [00:00<00:00, 349.44 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 40%|████ | 100/250 [00:00<00:00, 349.54 it/sec, feas=True, obj=0.26]
INFO - 10:04:12: 40%|████ | 101/250 [00:00<00:00, 349.30 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 41%|████ | 102/250 [00:00<00:00, 348.87 it/sec, feas=True, obj=0.256]
INFO - 10:04:12: 41%|████ | 103/250 [00:00<00:00, 348.91 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 42%|████▏ | 104/250 [00:00<00:00, 348.79 it/sec, feas=True, obj=0.256]
INFO - 10:04:12: 42%|████▏ | 105/250 [00:00<00:00, 348.84 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 42%|████▏ | 106/250 [00:00<00:00, 348.89 it/sec, feas=True, obj=0.259]
INFO - 10:04:12: 43%|████▎ | 107/250 [00:00<00:00, 348.88 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 43%|████▎ | 108/250 [00:00<00:00, 348.71 it/sec, feas=True, obj=0.242]
INFO - 10:04:12: 44%|████▎ | 109/250 [00:00<00:00, 348.71 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 44%|████▍ | 110/250 [00:00<00:00, 348.76 it/sec, feas=True, obj=0.136]
INFO - 10:04:12: 44%|████▍ | 111/250 [00:00<00:00, 348.64 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 45%|████▍ | 112/250 [00:00<00:00, 348.69 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 45%|████▌ | 113/250 [00:00<00:00, 348.83 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 46%|████▌ | 114/250 [00:00<00:00, 348.87 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 46%|████▌ | 115/250 [00:00<00:00, 348.88 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 46%|████▋ | 116/250 [00:00<00:00, 348.91 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 47%|████▋ | 117/250 [00:00<00:00, 348.96 it/sec, feas=True, obj=0.0569]
INFO - 10:04:12: 47%|████▋ | 118/250 [00:00<00:00, 348.81 it/sec, feas=True, obj=0.0568]
INFO - 10:04:12: 48%|████▊ | 119/250 [00:00<00:00, 348.85 it/sec, feas=True, obj=0.0568]
INFO - 10:04:12: 48%|████▊ | 120/250 [00:00<00:00, 348.97 it/sec, feas=True, obj=0.0568]
INFO - 10:04:12: 48%|████▊ | 121/250 [00:00<00:00, 348.93 it/sec, feas=True, obj=0.0568]
INFO - 10:04:12: 49%|████▉ | 122/250 [00:00<00:00, 348.87 it/sec, feas=True, obj=0.0568]
INFO - 10:04:12: 49%|████▉ | 123/250 [00:00<00:00, 348.91 it/sec, feas=True, obj=0.0568]
INFO - 10:04:12: 50%|████▉ | 124/250 [00:00<00:00, 348.74 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 50%|█████ | 125/250 [00:00<00:00, 348.77 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 50%|█████ | 126/250 [00:00<00:00, 348.79 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 51%|█████ | 127/250 [00:00<00:00, 348.68 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 51%|█████ | 128/250 [00:00<00:00, 348.66 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 52%|█████▏ | 129/250 [00:00<00:00, 348.70 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 52%|█████▏ | 130/250 [00:00<00:00, 348.66 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 52%|█████▏ | 131/250 [00:00<00:00, 348.65 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 53%|█████▎ | 132/250 [00:00<00:00, 348.64 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 53%|█████▎ | 133/250 [00:00<00:00, 348.67 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 54%|█████▎ | 134/250 [00:00<00:00, 348.60 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 54%|█████▍ | 135/250 [00:00<00:00, 348.66 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 54%|█████▍ | 136/250 [00:00<00:00, 348.52 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 55%|█████▍ | 137/250 [00:00<00:00, 348.60 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 55%|█████▌ | 138/250 [00:00<00:00, 348.62 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 56%|█████▌ | 139/250 [00:00<00:00, 348.61 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 56%|█████▌ | 140/250 [00:00<00:00, 348.51 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 56%|█████▋ | 141/250 [00:00<00:00, 348.53 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 57%|█████▋ | 142/250 [00:00<00:00, 348.57 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 57%|█████▋ | 143/250 [00:00<00:00, 348.43 it/sec, feas=True, obj=0.0566]
INFO - 10:04:12: 58%|█████▊ | 144/250 [00:00<00:00, 348.47 it/sec, feas=True, obj=0.0566]
INFO - 10:04:12: 58%|█████▊ | 145/250 [00:00<00:00, 348.53 it/sec, feas=True, obj=0.0566]
INFO - 10:04:12: 58%|█████▊ | 146/250 [00:00<00:00, 348.58 it/sec, feas=True, obj=0.0566]
INFO - 10:04:12: 59%|█████▉ | 147/250 [00:00<00:00, 348.62 it/sec, feas=True, obj=0.0567]
INFO - 10:04:12: 59%|█████▉ | 148/250 [00:00<00:00, 348.62 it/sec, feas=True, obj=0.0566]
INFO - 10:04:12: 60%|█████▉ | 149/250 [00:00<00:00, 348.67 it/sec, feas=True, obj=0.0566]
INFO - 10:04:12: 60%|██████ | 150/250 [00:00<00:00, 348.68 it/sec, feas=True, obj=0.0566]
INFO - 10:04:12: 60%|██████ | 151/250 [00:00<00:00, 348.72 it/sec, feas=True, obj=0.0566]
INFO - 10:04:12: 61%|██████ | 152/250 [00:00<00:00, 348.75 it/sec, feas=True, obj=0.172]
INFO - 10:04:12: 61%|██████ | 153/250 [00:00<00:00, 348.64 it/sec, feas=True, obj=0.0566]
INFO - 10:04:12: 62%|██████▏ | 154/250 [00:00<00:00, 348.68 it/sec, feas=True, obj=0.0714]
INFO - 10:04:12: 62%|██████▏ | 155/250 [00:00<00:00, 348.69 it/sec, feas=True, obj=0.0566]
INFO - 10:04:12: 62%|██████▏ | 156/250 [00:00<00:00, 348.58 it/sec, feas=True, obj=0.0575]
INFO - 10:04:12: 63%|██████▎ | 157/250 [00:00<00:00, 348.62 it/sec, feas=True, obj=0.0566]
INFO - 10:04:12: 63%|██████▎ | 158/250 [00:00<00:00, 348.66 it/sec, feas=True, obj=0.0565]
INFO - 10:04:12: 64%|██████▎ | 159/250 [00:00<00:00, 348.57 it/sec, feas=True, obj=0.0565]
INFO - 10:04:12: 64%|██████▍ | 160/250 [00:00<00:00, 348.62 it/sec, feas=True, obj=0.0565]
INFO - 10:04:12: 64%|██████▍ | 161/250 [00:00<00:00, 348.63 it/sec, feas=True, obj=0.0565]
INFO - 10:04:12: 65%|██████▍ | 162/250 [00:00<00:00, 348.65 it/sec, feas=True, obj=0.0565]
INFO - 10:04:12: 65%|██████▌ | 163/250 [00:00<00:00, 348.53 it/sec, feas=True, obj=0.0565]
INFO - 10:04:12: 66%|██████▌ | 164/250 [00:00<00:00, 348.56 it/sec, feas=True, obj=0.0566]
INFO - 10:04:12: 66%|██████▌ | 165/250 [00:00<00:00, 348.50 it/sec, feas=True, obj=0.0565]
INFO - 10:04:12: 66%|██████▋ | 166/250 [00:00<00:00, 348.54 it/sec, feas=True, obj=0.0565]
INFO - 10:04:13: 67%|██████▋ | 167/250 [00:00<00:00, 348.59 it/sec, feas=True, obj=0.0565]
INFO - 10:04:13: 67%|██████▋ | 168/250 [00:00<00:00, 348.60 it/sec, feas=True, obj=0.0565]
INFO - 10:04:13: 68%|██████▊ | 169/250 [00:00<00:00, 348.59 it/sec, feas=True, obj=0.0565]
INFO - 10:04:13: 68%|██████▊ | 170/250 [00:00<00:00, 348.56 it/sec, feas=True, obj=0.0565]
INFO - 10:04:13: 68%|██████▊ | 171/250 [00:00<00:00, 348.47 it/sec, feas=True, obj=0.0564]
INFO - 10:04:13: 69%|██████▉ | 172/250 [00:00<00:00, 348.34 it/sec, feas=True, obj=0.0714]
INFO - 10:04:13: 69%|██████▉ | 173/250 [00:00<00:00, 348.36 it/sec, feas=True, obj=0.0564]
INFO - 10:04:13: 70%|██████▉ | 174/250 [00:00<00:00, 348.35 it/sec, feas=True, obj=0.0564]
INFO - 10:04:13: 70%|███████ | 175/250 [00:00<00:00, 348.28 it/sec, feas=True, obj=0.0568]
INFO - 10:04:13: 70%|███████ | 176/250 [00:00<00:00, 348.30 it/sec, feas=True, obj=0.0564]
INFO - 10:04:13: 71%|███████ | 177/250 [00:00<00:00, 348.20 it/sec, feas=True, obj=0.0563]
INFO - 10:04:13: 71%|███████ | 178/250 [00:00<00:00, 348.23 it/sec, feas=True, obj=0.0573]
INFO - 10:04:13: 72%|███████▏ | 179/250 [00:00<00:00, 348.13 it/sec, feas=True, obj=0.0563]
INFO - 10:04:13: 72%|███████▏ | 180/250 [00:00<00:00, 348.18 it/sec, feas=True, obj=0.0566]
INFO - 10:04:13: 72%|███████▏ | 181/250 [00:00<00:00, 348.21 it/sec, feas=True, obj=0.0563]
INFO - 10:04:13: 73%|███████▎ | 182/250 [00:00<00:00, 348.24 it/sec, feas=True, obj=0.0567]
INFO - 10:04:13: 73%|███████▎ | 183/250 [00:00<00:00, 348.10 it/sec, feas=True, obj=0.0563]
INFO - 10:04:13: 74%|███████▎ | 184/250 [00:00<00:00, 348.10 it/sec, feas=True, obj=0.0562]
INFO - 10:04:13: 74%|███████▍ | 185/250 [00:00<00:00, 348.14 it/sec, feas=True, obj=0.0565]
INFO - 10:04:13: 74%|███████▍ | 186/250 [00:00<00:00, 348.04 it/sec, feas=True, obj=0.0561]
INFO - 10:04:13: 75%|███████▍ | 187/250 [00:00<00:00, 348.06 it/sec, feas=True, obj=0.0562]
INFO - 10:04:13: 75%|███████▌ | 188/250 [00:00<00:00, 347.94 it/sec, feas=True, obj=0.0561]
INFO - 10:04:13: 76%|███████▌ | 189/250 [00:00<00:00, 347.99 it/sec, feas=True, obj=0.0563]
INFO - 10:04:13: 76%|███████▌ | 190/250 [00:00<00:00, 347.87 it/sec, feas=True, obj=0.0561]
INFO - 10:04:13: 76%|███████▋ | 191/250 [00:00<00:00, 347.90 it/sec, feas=True, obj=0.0561]
INFO - 10:04:13: 77%|███████▋ | 192/250 [00:00<00:00, 347.96 it/sec, feas=True, obj=0.056]
INFO - 10:04:13: 77%|███████▋ | 193/250 [00:00<00:00, 347.98 it/sec, feas=True, obj=0.056]
INFO - 10:04:13: 78%|███████▊ | 194/250 [00:00<00:00, 347.91 it/sec, feas=True, obj=0.276]
INFO - 10:04:13: 78%|███████▊ | 195/250 [00:00<00:00, 347.96 it/sec, feas=True, obj=0.0563]
INFO - 10:04:13: 78%|███████▊ | 196/250 [00:00<00:00, 348.00 it/sec, feas=True, obj=0.056]
INFO - 10:04:13: 79%|███████▉ | 197/250 [00:00<00:00, 348.08 it/sec, feas=True, obj=0.165]
INFO - 10:04:13: 79%|███████▉ | 198/250 [00:00<00:00, 348.14 it/sec, feas=True, obj=0.0561]
INFO - 10:04:13: 80%|███████▉ | 199/250 [00:00<00:00, 348.16 it/sec, feas=True, obj=0.056]
INFO - 10:04:13: 80%|████████ | 200/250 [00:00<00:00, 348.22 it/sec, feas=True, obj=0.0572]
INFO - 10:04:13: 80%|████████ | 201/250 [00:00<00:00, 348.23 it/sec, feas=True, obj=0.056]
INFO - 10:04:13: 81%|████████ | 202/250 [00:00<00:00, 348.17 it/sec, feas=True, obj=0.0559]
INFO - 10:04:13: 81%|████████ | 203/250 [00:00<00:00, 348.20 it/sec, feas=True, obj=0.0559]
INFO - 10:04:13: 82%|████████▏ | 204/250 [00:00<00:00, 348.24 it/sec, feas=True, obj=0.0559]
INFO - 10:04:13: 82%|████████▏ | 205/250 [00:00<00:00, 348.24 it/sec, feas=True, obj=0.0559]
INFO - 10:04:13: 82%|████████▏ | 206/250 [00:00<00:00, 348.15 it/sec, feas=True, obj=0.0558]
INFO - 10:04:13: 83%|████████▎ | 207/250 [00:00<00:00, 348.18 it/sec, feas=True, obj=0.0558]
INFO - 10:04:13: 83%|████████▎ | 208/250 [00:00<00:00, 348.20 it/sec, feas=True, obj=0.0558]
INFO - 10:04:13: 84%|████████▎ | 209/250 [00:00<00:00, 348.14 it/sec, feas=True, obj=0.0562]
INFO - 10:04:13: 84%|████████▍ | 210/250 [00:00<00:00, 348.16 it/sec, feas=True, obj=0.0558]
INFO - 10:04:13: 84%|████████▍ | 211/250 [00:00<00:00, 348.06 it/sec, feas=True, obj=0.0558]
INFO - 10:04:13: 85%|████████▍ | 212/250 [00:00<00:00, 347.98 it/sec, feas=True, obj=0.0558]
INFO - 10:04:13: 85%|████████▌ | 213/250 [00:00<00:00, 348.02 it/sec, feas=True, obj=0.0559]
INFO - 10:04:13: 86%|████████▌ | 214/250 [00:00<00:00, 348.03 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 86%|████████▌ | 215/250 [00:00<00:00, 348.07 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 86%|████████▋ | 216/250 [00:00<00:00, 348.10 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 87%|████████▋ | 217/250 [00:00<00:00, 348.16 it/sec, feas=True, obj=0.0558]
INFO - 10:04:13: 87%|████████▋ | 218/250 [00:00<00:00, 348.08 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 88%|████████▊ | 219/250 [00:00<00:00, 348.00 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 88%|████████▊ | 220/250 [00:00<00:00, 348.01 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 88%|████████▊ | 221/250 [00:00<00:00, 347.94 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 89%|████████▉ | 222/250 [00:00<00:00, 347.88 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 89%|████████▉ | 223/250 [00:00<00:00, 347.54 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 90%|████████▉ | 224/250 [00:00<00:00, 347.46 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 90%|█████████ | 225/250 [00:00<00:00, 347.48 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 90%|█████████ | 226/250 [00:00<00:00, 347.53 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 91%|█████████ | 227/250 [00:00<00:00, 347.49 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 91%|█████████ | 228/250 [00:00<00:00, 347.54 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 92%|█████████▏| 229/250 [00:00<00:00, 347.57 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 92%|█████████▏| 230/250 [00:00<00:00, 347.62 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 92%|█████████▏| 231/250 [00:00<00:00, 347.54 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 93%|█████████▎| 232/250 [00:00<00:00, 347.59 it/sec, feas=True, obj=0.0623]
INFO - 10:04:13: 93%|█████████▎| 233/250 [00:00<00:00, 347.62 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 94%|█████████▎| 234/250 [00:00<00:00, 347.55 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 94%|█████████▍| 235/250 [00:00<00:00, 347.59 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 94%|█████████▍| 236/250 [00:00<00:00, 347.62 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 95%|█████████▍| 237/250 [00:00<00:00, 347.62 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 95%|█████████▌| 238/250 [00:00<00:00, 347.63 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 96%|█████████▌| 239/250 [00:00<00:00, 347.64 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 96%|█████████▌| 240/250 [00:00<00:00, 347.66 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 96%|█████████▋| 241/250 [00:00<00:00, 347.60 it/sec, feas=True, obj=0.056]
INFO - 10:04:13: 97%|█████████▋| 242/250 [00:00<00:00, 347.62 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 97%|█████████▋| 243/250 [00:00<00:00, 347.54 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 98%|█████████▊| 244/250 [00:00<00:00, 347.49 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 98%|█████████▊| 245/250 [00:00<00:00, 347.52 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 98%|█████████▊| 246/250 [00:00<00:00, 347.54 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 99%|█████████▉| 247/250 [00:00<00:00, 347.56 it/sec, feas=True, obj=0.0556]
INFO - 10:04:13: 99%|█████████▉| 248/250 [00:00<00:00, 347.58 it/sec, feas=True, obj=0.0556]
INFO - 10:04:13: 100%|█████████▉| 249/250 [00:00<00:00, 347.60 it/sec, feas=True, obj=0.0556]
INFO - 10:04:13: 100%|██████████| 250/250 [00:00<00:00, 347.55 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: Optimization result:
INFO - 10:04:13: Optimizer info:
INFO - 10:04:13: Status: None
INFO - 10:04:13: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 10:04:13: Solution:
INFO - 10:04:13: Objective: 0.05564598689206444
INFO - 10:04:13: Design space:
INFO - 10:04:13: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:13: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:13: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:13: | left_asymptote | 0 | 0.002177212697586784 | 0.004918571102090962 | float |
INFO - 10:04:13: | capacity | 0.002245594325533182 | 0.004224871365245648 | 0.04918571102090963 | float |
INFO - 10:04:13: | growth_rate | 0.0001084690661636759 | 0.0002757962869905919 | 0.0009762215954730827 | float |
INFO - 10:04:13: | x_lag | 0 | 0 | 11330.45367049352 | float |
INFO - 10:04:13: | logistic_nu | 0.1 | 0.183269894137185 | 10 | float |
INFO - 10:04:13: | asymptote_coeff | 0.1 | 0.9201027069644444 | 10 | float |
INFO - 10:04:13: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:13: Optimization problem:
INFO - 10:04:13: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:13: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:13: over the design space:
INFO - 10:04:13: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:13: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:13: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:13: | left_asymptote | 0 | 0.001148864888880544 | 0.004918571102090962 | float |
INFO - 10:04:13: | capacity | 0.002245594325533182 | 0.03758300668422648 | 0.04918571102090963 | float |
INFO - 10:04:13: | growth_rate | 0.0001084690661636759 | 0.0005838793196367481 | 0.0009762215954730827 | float |
INFO - 10:04:13: | x_lag | 0 | 4534.637358935938 | 11330.45367049352 | float |
INFO - 10:04:13: | logistic_nu | 0.1 | 1.584139511566824 | 10 | float |
INFO - 10:04:13: | asymptote_coeff | 0.1 | 8.646435449387221 | 10 | float |
INFO - 10:04:13: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:13: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:13: 1%| | 2/250 [00:00<00:00, 371.21 it/sec, feas=True, obj=1]
INFO - 10:04:13: 1%| | 3/250 [00:00<00:00, 386.61 it/sec, feas=True, obj=0.947]
INFO - 10:04:13: 2%|▏ | 4/250 [00:00<00:00, 373.18 it/sec, feas=True, obj=0.739]
INFO - 10:04:13: 2%|▏ | 5/250 [00:00<00:00, 369.67 it/sec, feas=True, obj=0.255]
INFO - 10:04:13: 2%|▏ | 6/250 [00:00<00:00, 368.33 it/sec, feas=True, obj=0.274]
INFO - 10:04:13: 3%|▎ | 7/250 [00:00<00:00, 363.60 it/sec, feas=True, obj=0.25]
INFO - 10:04:13: 3%|▎ | 8/250 [00:00<00:00, 363.20 it/sec, feas=True, obj=0.25]
INFO - 10:04:13: 4%|▎ | 9/250 [00:00<00:00, 362.84 it/sec, feas=True, obj=0.25]
INFO - 10:04:13: 4%|▍ | 10/250 [00:00<00:00, 362.70 it/sec, feas=True, obj=0.25]
INFO - 10:04:13: 4%|▍ | 11/250 [00:00<00:00, 358.76 it/sec, feas=True, obj=0.299]
INFO - 10:04:13: 5%|▍ | 12/250 [00:00<00:00, 359.07 it/sec, feas=True, obj=0.248]
INFO - 10:04:13: 5%|▌ | 13/250 [00:00<00:00, 359.64 it/sec, feas=True, obj=0.246]
INFO - 10:04:13: 6%|▌ | 14/250 [00:00<00:00, 358.70 it/sec, feas=True, obj=0.247]
INFO - 10:04:13: 6%|▌ | 15/250 [00:00<00:00, 358.82 it/sec, feas=True, obj=0.25]
INFO - 10:04:13: 6%|▋ | 16/250 [00:00<00:00, 358.90 it/sec, feas=True, obj=0.246]
INFO - 10:04:13: 7%|▋ | 17/250 [00:00<00:00, 359.03 it/sec, feas=True, obj=0.246]
INFO - 10:04:13: 7%|▋ | 18/250 [00:00<00:00, 358.86 it/sec, feas=True, obj=0.245]
INFO - 10:04:13: 8%|▊ | 19/250 [00:00<00:00, 359.04 it/sec, feas=True, obj=0.239]
INFO - 10:04:13: 8%|▊ | 20/250 [00:00<00:00, 359.17 it/sec, feas=True, obj=0.186]
INFO - 10:04:13: 8%|▊ | 21/250 [00:00<00:00, 358.99 it/sec, feas=True, obj=0.559]
INFO - 10:04:13: 9%|▉ | 22/250 [00:00<00:00, 358.48 it/sec, feas=True, obj=0.153]
INFO - 10:04:13: 9%|▉ | 23/250 [00:00<00:00, 358.97 it/sec, feas=True, obj=0.136]
INFO - 10:04:13: 10%|▉ | 24/250 [00:00<00:00, 358.70 it/sec, feas=True, obj=0.263]
INFO - 10:04:13: 10%|█ | 25/250 [00:00<00:00, 359.12 it/sec, feas=True, obj=0.132]
INFO - 10:04:13: 10%|█ | 26/250 [00:00<00:00, 359.38 it/sec, feas=True, obj=0.132]
INFO - 10:04:13: 11%|█ | 27/250 [00:00<00:00, 359.22 it/sec, feas=True, obj=0.837]
INFO - 10:04:13: 11%|█ | 28/250 [00:00<00:00, 359.45 it/sec, feas=True, obj=0.182]
INFO - 10:04:13: 12%|█▏ | 29/250 [00:00<00:00, 359.40 it/sec, feas=True, obj=0.106]
INFO - 10:04:13: 12%|█▏ | 30/250 [00:00<00:00, 359.81 it/sec, feas=True, obj=0.65]
INFO - 10:04:13: 12%|█▏ | 31/250 [00:00<00:00, 360.28 it/sec, feas=True, obj=0.0916]
INFO - 10:04:13: 13%|█▎ | 32/250 [00:00<00:00, 360.54 it/sec, feas=True, obj=0.471]
INFO - 10:04:13: 13%|█▎ | 33/250 [00:00<00:00, 360.62 it/sec, feas=True, obj=0.0856]
INFO - 10:04:13: 14%|█▎ | 34/250 [00:00<00:00, 360.74 it/sec, feas=True, obj=0.0866]
INFO - 10:04:13: 14%|█▍ | 35/250 [00:00<00:00, 360.93 it/sec, feas=True, obj=0.0822]
INFO - 10:04:13: 14%|█▍ | 36/250 [00:00<00:00, 360.86 it/sec, feas=True, obj=0.0806]
INFO - 10:04:13: 15%|█▍ | 37/250 [00:00<00:00, 360.96 it/sec, feas=True, obj=0.0778]
INFO - 10:04:13: 15%|█▌ | 38/250 [00:00<00:00, 354.11 it/sec, feas=True, obj=0.0708]
INFO - 10:04:13: 16%|█▌ | 39/250 [00:00<00:00, 354.21 it/sec, feas=True, obj=0.07]
INFO - 10:04:13: 16%|█▌ | 40/250 [00:00<00:00, 354.12 it/sec, feas=True, obj=0.071]
INFO - 10:04:13: 16%|█▋ | 41/250 [00:00<00:00, 353.31 it/sec, feas=True, obj=0.0668]
INFO - 10:04:13: 17%|█▋ | 42/250 [00:00<00:00, 352.91 it/sec, feas=True, obj=0.0656]
INFO - 10:04:13: 17%|█▋ | 43/250 [00:00<00:00, 352.83 it/sec, feas=True, obj=0.0641]
INFO - 10:04:13: 18%|█▊ | 44/250 [00:00<00:00, 352.97 it/sec, feas=True, obj=0.0638]
INFO - 10:04:13: 18%|█▊ | 45/250 [00:00<00:00, 353.06 it/sec, feas=True, obj=0.0635]
INFO - 10:04:13: 18%|█▊ | 46/250 [00:00<00:00, 353.30 it/sec, feas=True, obj=0.0634]
INFO - 10:04:13: 19%|█▉ | 47/250 [00:00<00:00, 349.91 it/sec, feas=True, obj=0.0634]
INFO - 10:04:13: 19%|█▉ | 48/250 [00:00<00:00, 350.03 it/sec, feas=True, obj=0.0631]
INFO - 10:04:13: 20%|█▉ | 49/250 [00:00<00:00, 349.88 it/sec, feas=True, obj=0.0623]
INFO - 10:04:13: 20%|██ | 50/250 [00:00<00:00, 350.03 it/sec, feas=True, obj=0.062]
INFO - 10:04:13: 20%|██ | 51/250 [00:00<00:00, 350.18 it/sec, feas=True, obj=0.0613]
INFO - 10:04:13: 21%|██ | 52/250 [00:00<00:00, 350.49 it/sec, feas=True, obj=0.0687]
INFO - 10:04:13: 21%|██ | 53/250 [00:00<00:00, 350.74 it/sec, feas=True, obj=0.0608]
INFO - 10:04:13: 22%|██▏ | 54/250 [00:00<00:00, 350.94 it/sec, feas=True, obj=0.0601]
INFO - 10:04:13: 22%|██▏ | 55/250 [00:00<00:00, 351.07 it/sec, feas=True, obj=0.0601]
INFO - 10:04:13: 22%|██▏ | 56/250 [00:00<00:00, 347.08 it/sec, feas=True, obj=0.0597]
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INFO - 10:04:13: 57%|█████▋ | 143/250 [00:00<00:00, 344.46 it/sec, feas=True, obj=0.0804]
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INFO - 10:04:13: 70%|███████ | 176/250 [00:00<00:00, 344.22 it/sec, feas=True, obj=0.0563]
INFO - 10:04:13: 71%|███████ | 177/250 [00:00<00:00, 344.30 it/sec, feas=True, obj=0.0563]
INFO - 10:04:13: 71%|███████ | 178/250 [00:00<00:00, 344.26 it/sec, feas=True, obj=0.0563]
INFO - 10:04:13: 72%|███████▏ | 179/250 [00:00<00:00, 344.23 it/sec, feas=True, obj=0.0563]
INFO - 10:04:13: 72%|███████▏ | 180/250 [00:00<00:00, 344.20 it/sec, feas=True, obj=0.0563]
INFO - 10:04:13: 72%|███████▏ | 181/250 [00:00<00:00, 344.15 it/sec, feas=True, obj=0.0562]
INFO - 10:04:13: 73%|███████▎ | 182/250 [00:00<00:00, 344.11 it/sec, feas=True, obj=0.0562]
INFO - 10:04:13: 73%|███████▎ | 183/250 [00:00<00:00, 344.09 it/sec, feas=True, obj=0.066]
INFO - 10:04:13: 74%|███████▎ | 184/250 [00:00<00:00, 344.06 it/sec, feas=True, obj=0.0562]
INFO - 10:04:13: 74%|███████▍ | 185/250 [00:00<00:00, 344.08 it/sec, feas=True, obj=0.0562]
INFO - 10:04:13: 74%|███████▍ | 186/250 [00:00<00:00, 343.92 it/sec, feas=True, obj=0.0562]
INFO - 10:04:13: 75%|███████▍ | 187/250 [00:00<00:00, 343.90 it/sec, feas=True, obj=0.0562]
INFO - 10:04:13: 75%|███████▌ | 188/250 [00:00<00:00, 343.91 it/sec, feas=True, obj=0.0562]
INFO - 10:04:13: 76%|███████▌ | 189/250 [00:00<00:00, 343.91 it/sec, feas=True, obj=0.0562]
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INFO - 10:04:13: 77%|███████▋ | 193/250 [00:00<00:00, 344.04 it/sec, feas=True, obj=0.0561]
INFO - 10:04:13: 78%|███████▊ | 194/250 [00:00<00:00, 344.01 it/sec, feas=True, obj=0.0561]
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INFO - 10:04:13: 82%|████████▏ | 205/250 [00:00<00:00, 343.45 it/sec, feas=True, obj=252]
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INFO - 10:04:13: 83%|████████▎ | 208/250 [00:00<00:00, 343.27 it/sec, feas=True, obj=0.262]
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INFO - 10:04:13: 86%|████████▌ | 214/250 [00:00<00:00, 342.96 it/sec, feas=True, obj=0.056]
INFO - 10:04:13: 86%|████████▌ | 215/250 [00:00<00:00, 342.84 it/sec, feas=True, obj=0.056]
INFO - 10:04:13: 86%|████████▋ | 216/250 [00:00<00:00, 342.87 it/sec, feas=True, obj=0.0559]
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INFO - 10:04:13: 89%|████████▉ | 222/250 [00:00<00:00, 342.75 it/sec, feas=True, obj=0.0559]
INFO - 10:04:13: 89%|████████▉ | 223/250 [00:00<00:00, 342.79 it/sec, feas=True, obj=0.0559]
INFO - 10:04:13: 90%|████████▉ | 224/250 [00:00<00:00, 342.77 it/sec, feas=True, obj=0.0559]
INFO - 10:04:13: 90%|█████████ | 225/250 [00:00<00:00, 342.76 it/sec, feas=True, obj=0.0559]
INFO - 10:04:13: 90%|█████████ | 226/250 [00:00<00:00, 342.76 it/sec, feas=True, obj=0.0582]
INFO - 10:04:13: 91%|█████████ | 227/250 [00:00<00:00, 342.69 it/sec, feas=True, obj=0.0559]
INFO - 10:04:13: 91%|█████████ | 228/250 [00:00<00:00, 342.73 it/sec, feas=True, obj=0.0559]
INFO - 10:04:13: 92%|█████████▏| 229/250 [00:00<00:00, 342.72 it/sec, feas=True, obj=0.0559]
INFO - 10:04:13: 92%|█████████▏| 230/250 [00:00<00:00, 342.75 it/sec, feas=True, obj=0.0559]
INFO - 10:04:13: 92%|█████████▏| 231/250 [00:00<00:00, 342.74 it/sec, feas=True, obj=0.0559]
INFO - 10:04:13: 93%|█████████▎| 232/250 [00:00<00:00, 342.71 it/sec, feas=True, obj=0.0558]
INFO - 10:04:13: 93%|█████████▎| 233/250 [00:00<00:00, 342.67 it/sec, feas=True, obj=0.0558]
INFO - 10:04:13: 94%|█████████▎| 234/250 [00:00<00:00, 342.72 it/sec, feas=True, obj=0.0561]
INFO - 10:04:13: 94%|█████████▍| 235/250 [00:00<00:00, 342.75 it/sec, feas=True, obj=0.0558]
INFO - 10:04:13: 94%|█████████▍| 236/250 [00:00<00:00, 342.78 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 95%|█████████▍| 237/250 [00:00<00:00, 342.82 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 95%|█████████▌| 238/250 [00:00<00:00, 342.88 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 96%|█████████▌| 239/250 [00:00<00:00, 342.91 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 96%|█████████▌| 240/250 [00:00<00:00, 342.94 it/sec, feas=True, obj=0.0556]
INFO - 10:04:13: 96%|█████████▋| 241/250 [00:00<00:00, 343.00 it/sec, feas=True, obj=0.0557]
INFO - 10:04:13: 97%|█████████▋| 242/250 [00:00<00:00, 342.95 it/sec, feas=True, obj=0.0556]
INFO - 10:04:13: 97%|█████████▋| 243/250 [00:00<00:00, 343.00 it/sec, feas=True, obj=0.0556]
INFO - 10:04:13: 98%|█████████▊| 244/250 [00:00<00:00, 343.02 it/sec, feas=True, obj=0.0556]
INFO - 10:04:13: 98%|█████████▊| 245/250 [00:00<00:00, 343.01 it/sec, feas=True, obj=0.0559]
INFO - 10:04:13: 98%|█████████▊| 246/250 [00:00<00:00, 343.06 it/sec, feas=True, obj=0.0556]
INFO - 10:04:13: 99%|█████████▉| 247/250 [00:00<00:00, 343.09 it/sec, feas=True, obj=0.0556]
INFO - 10:04:13: 99%|█████████▉| 248/250 [00:00<00:00, 343.13 it/sec, feas=True, obj=0.0555]
INFO - 10:04:13: 100%|█████████▉| 249/250 [00:00<00:00, 343.15 it/sec, feas=True, obj=0.0555]
INFO - 10:04:13: 100%|██████████| 250/250 [00:00<00:00, 343.18 it/sec, feas=True, obj=0.0555]
INFO - 10:04:13: Optimization result:
INFO - 10:04:13: Optimizer info:
INFO - 10:04:13: Status: None
INFO - 10:04:13: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 10:04:13: Solution:
INFO - 10:04:13: Objective: 0.05550858402555435
INFO - 10:04:13: Design space:
INFO - 10:04:13: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:13: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:13: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:13: | left_asymptote | 0 | 0.002182021894909025 | 0.004918571102090962 | float |
INFO - 10:04:13: | capacity | 0.002245594325533182 | 0.04916879169172694 | 0.04918571102090963 | float |
INFO - 10:04:13: | growth_rate | 0.0001084690661636759 | 0.0002651209815095533 | 0.0009762215954730827 | float |
INFO - 10:04:13: | x_lag | 0 | 0 | 11330.45367049352 | float |
INFO - 10:04:13: | logistic_nu | 0.1 | 0.1293007567486261 | 10 | float |
INFO - 10:04:13: | asymptote_coeff | 0.1 | 1.411912915452448 | 10 | float |
INFO - 10:04:13: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:13: Optimization problem:
INFO - 10:04:13: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:13: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:13: over the design space:
INFO - 10:04:13: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:13: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:13: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:13: | left_asymptote | 0 | 0.0007193580044905118 | 0.004918571102090962 | float |
INFO - 10:04:13: | capacity | 0.002245594325533182 | 0.02871290614785835 | 0.04918571102090963 | float |
INFO - 10:04:13: | growth_rate | 0.0001084690661636759 | 0.0001482714965745847 | 0.0009762215954730827 | float |
INFO - 10:04:13: | x_lag | 0 | 3953.885974315605 | 11330.45367049352 | float |
INFO - 10:04:13: | logistic_nu | 0.1 | 3.881851228413161 | 10 | float |
INFO - 10:04:13: | asymptote_coeff | 0.1 | 5.404868117632494 | 10 | float |
INFO - 10:04:13: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:13: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:13: 1%| | 2/250 [00:00<00:00, 379.70 it/sec, feas=True, obj=1]
INFO - 10:04:13: 1%| | 3/250 [00:00<00:00, 393.33 it/sec, feas=True, obj=0.859]
INFO - 10:04:13: 2%|▏ | 4/250 [00:00<00:00, 384.35 it/sec, feas=True, obj=0.343]
INFO - 10:04:13: 2%|▏ | 5/250 [00:00<00:00, 379.27 it/sec, feas=True, obj=0.557]
INFO - 10:04:13: 2%|▏ | 6/250 [00:00<00:00, 372.76 it/sec, feas=True, obj=0.251]
INFO - 10:04:13: 3%|▎ | 7/250 [00:00<00:00, 366.28 it/sec, feas=True, obj=0.25]
INFO - 10:04:14: 3%|▎ | 8/250 [00:00<00:00, 365.98 it/sec, feas=True, obj=0.25]
INFO - 10:04:14: 4%|▎ | 9/250 [00:00<00:00, 363.87 it/sec, feas=True, obj=0.25]
INFO - 10:04:14: Optimization result:
INFO - 10:04:14: Optimizer info:
INFO - 10:04:14: Status: 0
INFO - 10:04:14: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:14: Solution:
INFO - 10:04:14: Objective: 0.24999734448130437
INFO - 10:04:14: Design space:
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: | left_asymptote | 0 | 0.003248248768933654 | 0.004918571102090962 | float |
INFO - 10:04:14: | capacity | 0.002245594325533182 | 0.002245594331713234 | 0.04918571102090963 | float |
INFO - 10:04:14: | growth_rate | 0.0001084690661636759 | 0.0001084690661636759 | 0.0009762215954730827 | float |
INFO - 10:04:14: | x_lag | 0 | 6933.777479944091 | 11330.45367049352 | float |
INFO - 10:04:14: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:14: | asymptote_coeff | 0.1 | 9.470249010670985 | 10 | float |
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: Optimization problem:
INFO - 10:04:14: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:14: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:14: over the design space:
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: | left_asymptote | 0 | 0.004138969572141215 | 0.004918571102090962 | float |
INFO - 10:04:14: | capacity | 0.002245594325533182 | 0.04548138753643578 | 0.04918571102090963 | float |
INFO - 10:04:14: | growth_rate | 0.0001084690661636759 | 0.0002340454821531957 | 0.0009762215954730827 | float |
INFO - 10:04:14: | x_lag | 0 | 5333.762303768352 | 11330.45367049352 | float |
INFO - 10:04:14: | logistic_nu | 0.1 | 8.234739433018818 | 10 | float |
INFO - 10:04:14: | asymptote_coeff | 0.1 | 3.408753901197628 | 10 | float |
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:14: 1%| | 2/250 [00:00<00:00, 380.82 it/sec, feas=True, obj=0.268]
INFO - 10:04:14: 1%| | 3/250 [00:00<00:00, 383.56 it/sec, feas=True, obj=0.251]
INFO - 10:04:14: 2%|▏ | 4/250 [00:00<00:00, 376.15 it/sec, feas=True, obj=0.25]
INFO - 10:04:14: 2%|▏ | 5/250 [00:00<00:00, 371.67 it/sec, feas=True, obj=0.25]
INFO - 10:04:14: 2%|▏ | 6/250 [00:00<00:00, 363.98 it/sec, feas=True, obj=0.25]
INFO - 10:04:14: Optimization result:
INFO - 10:04:14: Optimizer info:
INFO - 10:04:14: Status: 0
INFO - 10:04:14: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:14: Solution:
INFO - 10:04:14: Objective: 0.24999734447777447
INFO - 10:04:14: Design space:
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: | left_asymptote | 0 | 0.003248248691003802 | 0.004918571102090962 | float |
INFO - 10:04:14: | capacity | 0.002245594325533182 | 0.00231941337613652 | 0.04918571102090963 | float |
INFO - 10:04:14: | growth_rate | 0.0001084690661636759 | 0.0005473327734414027 | 0.0009762215954730827 | float |
INFO - 10:04:14: | x_lag | 0 | 11330.45367049352 | 11330.45367049352 | float |
INFO - 10:04:14: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:14: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: Optimization problem:
INFO - 10:04:14: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:14: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:14: over the design space:
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: | left_asymptote | 0 | 0.00474142094690297 | 0.004918571102090962 | float |
INFO - 10:04:14: | capacity | 0.002245594325533182 | 0.02156722803491342 | 0.04918571102090963 | float |
INFO - 10:04:14: | growth_rate | 0.0001084690661636759 | 0.0005406374915599278 | 0.0009762215954730827 | float |
INFO - 10:04:14: | x_lag | 0 | 9355.431902144952 | 11330.45367049352 | float |
INFO - 10:04:14: | logistic_nu | 0.1 | 8.81154772732992 | 10 | float |
INFO - 10:04:14: | asymptote_coeff | 0.1 | 4.60272431489444 | 10 | float |
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:14: 1%| | 2/250 [00:00<00:00, 367.95 it/sec, feas=True, obj=0.283]
INFO - 10:04:14: 1%| | 3/250 [00:00<00:00, 381.79 it/sec, feas=True, obj=0.258]
INFO - 10:04:14: 2%|▏ | 4/250 [00:00<00:00, 376.49 it/sec, feas=True, obj=0.25]
INFO - 10:04:14: 2%|▏ | 5/250 [00:00<00:00, 368.44 it/sec, feas=True, obj=0.25]
INFO - 10:04:14: 2%|▏ | 6/250 [00:00<00:00, 361.12 it/sec, feas=True, obj=0.25]
INFO - 10:04:14: 3%|▎ | 7/250 [00:00<00:00, 359.15 it/sec, feas=True, obj=0.25]
INFO - 10:04:14: Optimization result:
INFO - 10:04:14: Optimizer info:
INFO - 10:04:14: Status: 0
INFO - 10:04:14: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:14: Solution:
INFO - 10:04:14: Objective: 0.2499973444833487
INFO - 10:04:14: Design space:
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: | left_asymptote | 0 | 0.003248248690854927 | 0.004918571102090962 | float |
INFO - 10:04:14: | capacity | 0.002245594325533182 | 0.002275791471704199 | 0.04918571102090963 | float |
INFO - 10:04:14: | growth_rate | 0.0001084690661636759 | 0.0009762215954730827 | 0.0009762215954730827 | float |
INFO - 10:04:14: | x_lag | 0 | 11330.45367049352 | 11330.45367049352 | float |
INFO - 10:04:14: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:14: | asymptote_coeff | 0.1 | 8.432078895667308 | 10 | float |
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: Optimization problem:
INFO - 10:04:14: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:14: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:14: over the design space:
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: | left_asymptote | 0 | 0.001828727031699625 | 0.004918571102090962 | float |
INFO - 10:04:14: | capacity | 0.002245594325533182 | 0.01527995808198435 | 0.04918571102090963 | float |
INFO - 10:04:14: | growth_rate | 0.0001084690661636759 | 0.0004316291753666757 | 0.0009762215954730827 | float |
INFO - 10:04:14: | x_lag | 0 | 3261.2495750987 | 11330.45367049352 | float |
INFO - 10:04:14: | logistic_nu | 0.1 | 9.197003967850243 | 10 | float |
INFO - 10:04:14: | asymptote_coeff | 0.1 | 2.224733400313706 | 10 | float |
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:14: 1%| | 2/250 [00:00<00:00, 377.85 it/sec, feas=True, obj=0.514]
INFO - 10:04:14: 1%| | 3/250 [00:00<00:00, 380.40 it/sec, feas=True, obj=0.502]
INFO - 10:04:14: 2%|▏ | 4/250 [00:00<00:00, 358.69 it/sec, feas=True, obj=0.235]
INFO - 10:04:14: 2%|▏ | 5/250 [00:00<00:00, 356.26 it/sec, feas=True, obj=0.35]
INFO - 10:04:14: 2%|▏ | 6/250 [00:00<00:00, 353.40 it/sec, feas=True, obj=0.219]
INFO - 10:04:14: 3%|▎ | 7/250 [00:00<00:00, 354.16 it/sec, feas=True, obj=0.218]
INFO - 10:04:14: 3%|▎ | 8/250 [00:00<00:00, 354.51 it/sec, feas=True, obj=0.218]
INFO - 10:04:14: 4%|▎ | 9/250 [00:00<00:00, 355.19 it/sec, feas=True, obj=0.214]
INFO - 10:04:14: 4%|▍ | 10/250 [00:00<00:00, 355.42 it/sec, feas=True, obj=0.166]
INFO - 10:04:14: 4%|▍ | 11/250 [00:00<00:00, 355.45 it/sec, feas=True, obj=1]
INFO - 10:04:14: 5%|▍ | 12/250 [00:00<00:00, 342.61 it/sec, feas=True, obj=0.158]
INFO - 10:04:14: 5%|▌ | 13/250 [00:00<00:00, 342.50 it/sec, feas=True, obj=0.396]
INFO - 10:04:14: 6%|▌ | 14/250 [00:00<00:00, 344.13 it/sec, feas=True, obj=0.138]
INFO - 10:04:14: 6%|▌ | 15/250 [00:00<00:00, 344.08 it/sec, feas=True, obj=0.131]
INFO - 10:04:14: 6%|▋ | 16/250 [00:00<00:00, 344.05 it/sec, feas=True, obj=0.123]
INFO - 10:04:14: 7%|▋ | 17/250 [00:00<00:00, 343.84 it/sec, feas=True, obj=0.0966]
INFO - 10:04:14: 7%|▋ | 18/250 [00:00<00:00, 344.09 it/sec, feas=True, obj=0.0963]
INFO - 10:04:14: 8%|▊ | 19/250 [00:00<00:00, 342.67 it/sec, feas=True, obj=0.0945]
INFO - 10:04:14: 8%|▊ | 20/250 [00:00<00:00, 333.78 it/sec, feas=True, obj=0.0922]
INFO - 10:04:14: 8%|▊ | 21/250 [00:00<00:00, 334.42 it/sec, feas=True, obj=0.0853]
INFO - 10:04:14: 9%|▉ | 22/250 [00:00<00:00, 334.91 it/sec, feas=True, obj=0.181]
INFO - 10:04:14: 9%|▉ | 23/250 [00:00<00:00, 335.95 it/sec, feas=True, obj=0.0853]
INFO - 10:04:14: 10%|▉ | 24/250 [00:00<00:00, 336.32 it/sec, feas=True, obj=0.0696]
INFO - 10:04:14: 10%|█ | 25/250 [00:00<00:00, 333.36 it/sec, feas=True, obj=0.0691]
INFO - 10:04:14: 10%|█ | 26/250 [00:00<00:00, 333.59 it/sec, feas=True, obj=0.0689]
INFO - 10:04:14: 11%|█ | 27/250 [00:00<00:00, 334.58 it/sec, feas=True, obj=0.0687]
INFO - 10:04:14: 11%|█ | 28/250 [00:00<00:00, 334.95 it/sec, feas=True, obj=0.0678]
INFO - 10:04:14: 12%|█▏ | 29/250 [00:00<00:00, 335.24 it/sec, feas=True, obj=0.0661]
INFO - 10:04:14: 12%|█▏ | 30/250 [00:00<00:00, 335.49 it/sec, feas=True, obj=0.0642]
INFO - 10:04:14: 12%|█▏ | 31/250 [00:00<00:00, 335.70 it/sec, feas=True, obj=0.0619]
INFO - 10:04:14: 13%|█▎ | 32/250 [00:00<00:00, 335.91 it/sec, feas=True, obj=0.0601]
INFO - 10:04:14: 13%|█▎ | 33/250 [00:00<00:00, 330.10 it/sec, feas=True, obj=0.059]
INFO - 10:04:14: 14%|█▎ | 34/250 [00:00<00:00, 330.26 it/sec, feas=True, obj=0.0587]
INFO - 10:04:14: 14%|█▍ | 35/250 [00:00<00:00, 330.52 it/sec, feas=True, obj=0.0584]
INFO - 10:04:14: 14%|█▍ | 36/250 [00:00<00:00, 331.02 it/sec, feas=True, obj=0.0584]
INFO - 10:04:14: 15%|█▍ | 37/250 [00:00<00:00, 331.75 it/sec, feas=True, obj=0.0583]
INFO - 10:04:14: 15%|█▌ | 38/250 [00:00<00:00, 332.41 it/sec, feas=True, obj=0.0592]
INFO - 10:04:14: 16%|█▌ | 39/250 [00:00<00:00, 333.09 it/sec, feas=True, obj=0.0583]
INFO - 10:04:14: 16%|█▌ | 40/250 [00:00<00:00, 333.72 it/sec, feas=True, obj=0.0583]
INFO - 10:04:14: 16%|█▋ | 41/250 [00:00<00:00, 328.05 it/sec, feas=True, obj=0.0583]
INFO - 10:04:14: 17%|█▋ | 42/250 [00:00<00:00, 328.25 it/sec, feas=True, obj=0.0583]
INFO - 10:04:14: 17%|█▋ | 43/250 [00:00<00:00, 328.59 it/sec, feas=True, obj=0.0582]
INFO - 10:04:14: 18%|█▊ | 44/250 [00:00<00:00, 329.02 it/sec, feas=True, obj=0.058]
INFO - 10:04:14: 18%|█▊ | 45/250 [00:00<00:00, 329.31 it/sec, feas=True, obj=0.0577]
INFO - 10:04:14: 18%|█▊ | 46/250 [00:00<00:00, 329.69 it/sec, feas=True, obj=0.058]
INFO - 10:04:14: 19%|█▉ | 47/250 [00:00<00:00, 329.98 it/sec, feas=True, obj=0.0576]
INFO - 10:04:14: 19%|█▉ | 48/250 [00:00<00:00, 330.15 it/sec, feas=True, obj=0.0574]
INFO - 10:04:14: 20%|█▉ | 49/250 [00:00<00:00, 330.44 it/sec, feas=True, obj=0.0572]
INFO - 10:04:14: 20%|██ | 50/250 [00:00<00:00, 330.75 it/sec, feas=True, obj=0.0572]
INFO - 10:04:14: 20%|██ | 51/250 [00:00<00:00, 330.95 it/sec, feas=True, obj=0.0577]
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INFO - 10:04:14: 39%|███▉ | 98/250 [00:00<00:00, 336.65 it/sec, feas=True, obj=0.0595]
INFO - 10:04:14: 40%|███▉ | 99/250 [00:00<00:00, 336.89 it/sec, feas=True, obj=0.0569]
INFO - 10:04:14: 40%|████ | 100/250 [00:00<00:00, 337.11 it/sec, feas=True, obj=0.0569]
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INFO - 10:04:14: 41%|████ | 102/250 [00:00<00:00, 337.42 it/sec, feas=True, obj=0.0569]
INFO - 10:04:14: 41%|████ | 103/250 [00:00<00:00, 337.55 it/sec, feas=True, obj=0.0569]
INFO - 10:04:14: 42%|████▏ | 104/250 [00:00<00:00, 336.64 it/sec, feas=True, obj=0.059]
INFO - 10:04:14: 42%|████▏ | 105/250 [00:00<00:00, 336.82 it/sec, feas=True, obj=0.0569]
INFO - 10:04:14: 42%|████▏ | 106/250 [00:00<00:00, 337.01 it/sec, feas=True, obj=0.0576]
INFO - 10:04:14: 43%|████▎ | 107/250 [00:00<00:00, 337.09 it/sec, feas=True, obj=0.0569]
INFO - 10:04:14: 43%|████▎ | 108/250 [00:00<00:00, 337.14 it/sec, feas=True, obj=0.057]
INFO - 10:04:14: 44%|████▎ | 109/250 [00:00<00:00, 335.45 it/sec, feas=True, obj=0.0569]
INFO - 10:04:14: 44%|████▍ | 110/250 [00:00<00:00, 335.63 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 44%|████▍ | 111/250 [00:00<00:00, 335.71 it/sec, feas=True, obj=0.0569]
INFO - 10:04:14: 45%|████▍ | 112/250 [00:00<00:00, 335.73 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 45%|████▌ | 113/250 [00:00<00:00, 335.88 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 46%|████▌ | 114/250 [00:00<00:00, 335.90 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 46%|████▌ | 115/250 [00:00<00:00, 336.05 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 46%|████▋ | 116/250 [00:00<00:00, 336.12 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 47%|████▋ | 117/250 [00:00<00:00, 336.18 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 47%|████▋ | 118/250 [00:00<00:00, 336.37 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 48%|████▊ | 119/250 [00:00<00:00, 336.55 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 48%|████▊ | 120/250 [00:00<00:00, 336.57 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 48%|████▊ | 121/250 [00:00<00:00, 336.11 it/sec, feas=True, obj=0.0574]
INFO - 10:04:14: 49%|████▉ | 122/250 [00:00<00:00, 336.15 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 49%|████▉ | 123/250 [00:00<00:00, 336.36 it/sec, feas=True, obj=0.129]
INFO - 10:04:14: 50%|████▉ | 124/250 [00:00<00:00, 336.52 it/sec, feas=True, obj=0.0569]
INFO - 10:04:14: 50%|█████ | 125/250 [00:00<00:00, 336.37 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 50%|█████ | 126/250 [00:00<00:00, 336.54 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 51%|█████ | 127/250 [00:00<00:00, 336.72 it/sec, feas=True, obj=0.0569]
INFO - 10:04:14: 51%|█████ | 128/250 [00:00<00:00, 336.79 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 52%|█████▏ | 129/250 [00:00<00:00, 335.16 it/sec, feas=True, obj=0.057]
INFO - 10:04:14: 52%|█████▏ | 130/250 [00:00<00:00, 335.23 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 52%|█████▏ | 131/250 [00:00<00:00, 335.41 it/sec, feas=True, obj=0.0571]
INFO - 10:04:14: 53%|█████▎ | 132/250 [00:00<00:00, 335.55 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 53%|█████▎ | 133/250 [00:00<00:00, 335.64 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 54%|█████▎ | 134/250 [00:00<00:00, 335.77 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 54%|█████▍ | 135/250 [00:00<00:00, 335.92 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 54%|█████▍ | 136/250 [00:00<00:00, 336.09 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 55%|█████▍ | 137/250 [00:00<00:00, 336.21 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 55%|█████▌ | 138/250 [00:00<00:00, 336.32 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 56%|█████▌ | 139/250 [00:00<00:00, 336.39 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 56%|█████▌ | 140/250 [00:00<00:00, 336.32 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 56%|█████▋ | 141/250 [00:00<00:00, 336.34 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 57%|█████▋ | 142/250 [00:00<00:00, 336.51 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 57%|█████▋ | 143/250 [00:00<00:00, 336.72 it/sec, feas=True, obj=0.0569]
INFO - 10:04:14: 58%|█████▊ | 144/250 [00:00<00:00, 336.86 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 58%|█████▊ | 145/250 [00:00<00:00, 337.01 it/sec, feas=True, obj=0.0571]
INFO - 10:04:14: 58%|█████▊ | 146/250 [00:00<00:00, 336.86 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 59%|█████▉ | 147/250 [00:00<00:00, 337.02 it/sec, feas=True, obj=0.057]
INFO - 10:04:14: 59%|█████▉ | 148/250 [00:00<00:00, 337.17 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 60%|█████▉ | 149/250 [00:00<00:00, 336.43 it/sec, feas=True, obj=0.0696]
INFO - 10:04:14: 60%|██████ | 150/250 [00:00<00:00, 336.41 it/sec, feas=True, obj=0.0568]
INFO - 10:04:14: 60%|██████ | 151/250 [00:00<00:00, 336.52 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 61%|██████ | 152/250 [00:00<00:00, 336.63 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 61%|██████ | 153/250 [00:00<00:00, 336.78 it/sec, feas=True, obj=0.0609]
INFO - 10:04:14: 62%|██████▏ | 154/250 [00:00<00:00, 336.85 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 62%|██████▏ | 155/250 [00:00<00:00, 336.95 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 62%|██████▏ | 156/250 [00:00<00:00, 336.95 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 63%|██████▎ | 157/250 [00:00<00:00, 336.99 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 63%|██████▎ | 158/250 [00:00<00:00, 336.99 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 64%|██████▎ | 159/250 [00:00<00:00, 337.05 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 64%|██████▍ | 160/250 [00:00<00:00, 337.14 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 64%|██████▍ | 161/250 [00:00<00:00, 337.23 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 65%|██████▍ | 162/250 [00:00<00:00, 337.33 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 65%|██████▌ | 163/250 [00:00<00:00, 337.40 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 66%|██████▌ | 164/250 [00:00<00:00, 337.46 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 66%|██████▌ | 165/250 [00:00<00:00, 337.58 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 66%|██████▋ | 166/250 [00:00<00:00, 337.68 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 67%|██████▋ | 167/250 [00:00<00:00, 337.80 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 67%|██████▋ | 168/250 [00:00<00:00, 337.85 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 68%|██████▊ | 169/250 [00:00<00:00, 337.91 it/sec, feas=True, obj=4.02e+3]
INFO - 10:04:14: 68%|██████▊ | 170/250 [00:00<00:00, 337.96 it/sec, feas=True, obj=0.0584]
INFO - 10:04:14: 68%|██████▊ | 171/250 [00:00<00:00, 338.10 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 69%|██████▉ | 172/250 [00:00<00:00, 338.21 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 69%|██████▉ | 173/250 [00:00<00:00, 338.35 it/sec, feas=True, obj=2.24e+3]
INFO - 10:04:14: 70%|██████▉ | 174/250 [00:00<00:00, 338.48 it/sec, feas=True, obj=0.139]
INFO - 10:04:14: 70%|███████ | 175/250 [00:00<00:00, 338.51 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 70%|███████ | 176/250 [00:00<00:00, 338.68 it/sec, feas=True, obj=0.14]
INFO - 10:04:14: 71%|███████ | 177/250 [00:00<00:00, 338.71 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 71%|███████ | 178/250 [00:00<00:00, 338.81 it/sec, feas=True, obj=0.14]
INFO - 10:04:14: 72%|███████▏ | 179/250 [00:00<00:00, 338.82 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 72%|███████▏ | 180/250 [00:00<00:00, 337.77 it/sec, feas=True, obj=0.14]
INFO - 10:04:14: 72%|███████▏ | 181/250 [00:00<00:00, 337.72 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 73%|███████▎ | 182/250 [00:00<00:00, 337.85 it/sec, feas=True, obj=0.14]
INFO - 10:04:14: 73%|███████▎ | 183/250 [00:00<00:00, 337.87 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 74%|███████▎ | 184/250 [00:00<00:00, 337.97 it/sec, feas=True, obj=0.14]
INFO - 10:04:14: 74%|███████▍ | 185/250 [00:00<00:00, 337.99 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 74%|███████▍ | 186/250 [00:00<00:00, 338.03 it/sec, feas=True, obj=0.14]
INFO - 10:04:14: 75%|███████▍ | 187/250 [00:00<00:00, 338.05 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 75%|███████▌ | 188/250 [00:00<00:00, 338.15 it/sec, feas=True, obj=0.14]
INFO - 10:04:14: 76%|███████▌ | 189/250 [00:00<00:00, 338.08 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 76%|███████▌ | 190/250 [00:00<00:00, 338.20 it/sec, feas=True, obj=0.14]
INFO - 10:04:14: 76%|███████▋ | 191/250 [00:00<00:00, 337.86 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: Optimization result:
INFO - 10:04:14: Optimizer info:
INFO - 10:04:14: Status: 0
INFO - 10:04:14: Message: CONVERGENCE: RELATIVE REDUCTION OF F <= FACTR*EPSMCH
INFO - 10:04:14: Solution:
INFO - 10:04:14: Objective: 0.05666847208563355
INFO - 10:04:14: Design space:
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: | left_asymptote | 0 | 0.001446156476863393 | 0.004918571102090962 | float |
INFO - 10:04:14: | capacity | 0.002245594325533182 | 0.00806600816550556 | 0.04918571102090963 | float |
INFO - 10:04:14: | growth_rate | 0.0001084690661636759 | 0.0002560821922875349 | 0.0009762215954730827 | float |
INFO - 10:04:14: | x_lag | 0 | 10649.12415784685 | 11330.45367049352 | float |
INFO - 10:04:14: | logistic_nu | 0.1 | 1.23665262735782 | 10 | float |
INFO - 10:04:14: | asymptote_coeff | 0.1 | 1.524411327815224 | 10 | float |
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: Optimization problem:
INFO - 10:04:14: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:14: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:14: over the design space:
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: | left_asymptote | 0 | 0.002283855522655432 | 0.004918571102090962 | float |
INFO - 10:04:14: | capacity | 0.002245594325533182 | 0.01872558280495207 | 0.04918571102090963 | float |
INFO - 10:04:14: | growth_rate | 0.0001084690661636759 | 0.0009213951339734376 | 0.0009762215954730827 | float |
INFO - 10:04:14: | x_lag | 0 | 10603.70246007227 | 11330.45367049352 | float |
INFO - 10:04:14: | logistic_nu | 0.1 | 2.425630286446258 | 10 | float |
INFO - 10:04:14: | asymptote_coeff | 0.1 | 7.080730934612159 | 10 | float |
INFO - 10:04:14: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:14: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:14: 1%| | 2/250 [00:00<00:00, 380.33 it/sec, feas=True, obj=1]
INFO - 10:04:14: 1%| | 3/250 [00:00<00:00, 388.23 it/sec, feas=True, obj=0.238]
INFO - 10:04:14: 2%|▏ | 4/250 [00:00<00:00, 384.48 it/sec, feas=True, obj=0.21]
INFO - 10:04:14: 2%|▏ | 5/250 [00:00<00:00, 380.22 it/sec, feas=True, obj=0.186]
INFO - 10:04:14: 2%|▏ | 6/250 [00:00<00:00, 377.93 it/sec, feas=True, obj=0.153]
INFO - 10:04:14: 3%|▎ | 7/250 [00:00<00:00, 376.74 it/sec, feas=True, obj=0.099]
INFO - 10:04:14: 3%|▎ | 8/250 [00:00<00:00, 375.22 it/sec, feas=True, obj=0.0804]
INFO - 10:04:14: 4%|▎ | 9/250 [00:00<00:00, 373.75 it/sec, feas=True, obj=0.0788]
INFO - 10:04:14: 4%|▍ | 10/250 [00:00<00:00, 371.48 it/sec, feas=True, obj=0.0777]
INFO - 10:04:14: 4%|▍ | 11/250 [00:00<00:00, 371.20 it/sec, feas=True, obj=0.0773]
INFO - 10:04:14: 5%|▍ | 12/250 [00:00<00:00, 370.51 it/sec, feas=True, obj=0.0753]
INFO - 10:04:14: 5%|▌ | 13/250 [00:00<00:00, 369.52 it/sec, feas=True, obj=0.0724]
INFO - 10:04:14: 6%|▌ | 14/250 [00:00<00:00, 359.43 it/sec, feas=True, obj=0.0686]
INFO - 10:04:14: 6%|▌ | 15/250 [00:00<00:00, 360.09 it/sec, feas=True, obj=0.0659]
INFO - 10:04:14: 6%|▋ | 16/250 [00:00<00:00, 360.32 it/sec, feas=True, obj=0.0648]
INFO - 10:04:14: 7%|▋ | 17/250 [00:00<00:00, 360.24 it/sec, feas=True, obj=0.0643]
INFO - 10:04:14: 7%|▋ | 18/250 [00:00<00:00, 360.37 it/sec, feas=True, obj=0.0642]
INFO - 10:04:14: 8%|▊ | 19/250 [00:00<00:00, 360.66 it/sec, feas=True, obj=0.0642]
INFO - 10:04:14: 8%|▊ | 20/250 [00:00<00:00, 360.66 it/sec, feas=True, obj=0.0642]
INFO - 10:04:14: 8%|▊ | 21/250 [00:00<00:00, 331.60 it/sec, feas=True, obj=0.064]
INFO - 10:04:14: 9%|▉ | 22/250 [00:00<00:00, 322.58 it/sec, feas=True, obj=0.0636]
INFO - 10:04:14: 9%|▉ | 23/250 [00:00<00:00, 322.12 it/sec, feas=True, obj=0.063]
INFO - 10:04:14: 10%|▉ | 24/250 [00:00<00:00, 320.68 it/sec, feas=True, obj=0.0697]
INFO - 10:04:14: 10%|█ | 25/250 [00:00<00:00, 315.00 it/sec, feas=True, obj=0.0621]
INFO - 10:04:14: 10%|█ | 26/250 [00:00<00:00, 313.32 it/sec, feas=True, obj=0.0611]
INFO - 10:04:14: 11%|█ | 27/250 [00:00<00:00, 309.29 it/sec, feas=True, obj=0.0605]
INFO - 10:04:14: 11%|█ | 28/250 [00:00<00:00, 308.27 it/sec, feas=True, obj=0.0605]
INFO - 10:04:14: 12%|█▏ | 29/250 [00:00<00:00, 302.98 it/sec, feas=True, obj=0.0605]
INFO - 10:04:14: 12%|█▏ | 30/250 [00:00<00:00, 300.62 it/sec, feas=True, obj=0.0605]
INFO - 10:04:14: 12%|█▏ | 31/250 [00:00<00:00, 299.02 it/sec, feas=True, obj=0.0605]
INFO - 10:04:14: 13%|█▎ | 32/250 [00:00<00:00, 298.40 it/sec, feas=True, obj=0.0605]
INFO - 10:04:14: 13%|█▎ | 33/250 [00:00<00:00, 297.09 it/sec, feas=True, obj=0.0604]
INFO - 10:04:14: 14%|█▎ | 34/250 [00:00<00:00, 293.41 it/sec, feas=True, obj=0.0603]
INFO - 10:04:14: 14%|█▍ | 35/250 [00:00<00:00, 292.63 it/sec, feas=True, obj=0.0599]
INFO - 10:04:14: 14%|█▍ | 36/250 [00:00<00:00, 292.42 it/sec, feas=True, obj=0.525]
INFO - 10:04:14: 15%|█▍ | 37/250 [00:00<00:00, 291.70 it/sec, feas=True, obj=0.0598]
INFO - 10:04:14: 15%|█▌ | 38/250 [00:00<00:00, 291.96 it/sec, feas=True, obj=0.0595]
INFO - 10:04:14: 16%|█▌ | 39/250 [00:00<00:00, 289.14 it/sec, feas=True, obj=0.0595]
INFO - 10:04:14: 16%|█▌ | 40/250 [00:00<00:00, 287.99 it/sec, feas=True, obj=0.0593]
INFO - 10:04:14: 16%|█▋ | 41/250 [00:00<00:00, 288.16 it/sec, feas=True, obj=0.256]
INFO - 10:04:14: 17%|█▋ | 42/250 [00:00<00:00, 285.92 it/sec, feas=True, obj=0.0582]
INFO - 10:04:14: 17%|█▋ | 43/250 [00:00<00:00, 286.18 it/sec, feas=True, obj=0.639]
INFO - 10:04:14: 18%|█▊ | 44/250 [00:00<00:00, 284.08 it/sec, feas=True, obj=0.0575]
INFO - 10:04:14: 18%|█▊ | 45/250 [00:00<00:00, 283.89 it/sec, feas=True, obj=0.76]
INFO - 10:04:14: 18%|█▊ | 46/250 [00:00<00:00, 280.70 it/sec, feas=True, obj=0.0574]
INFO - 10:04:14: 19%|█▉ | 47/250 [00:00<00:00, 280.82 it/sec, feas=True, obj=0.672]
INFO - 10:04:14: 19%|█▉ | 48/250 [00:00<00:00, 277.67 it/sec, feas=True, obj=0.0574]
INFO - 10:04:14: 20%|█▉ | 49/250 [00:00<00:00, 278.18 it/sec, feas=True, obj=0.606]
INFO - 10:04:14: 20%|██ | 50/250 [00:00<00:00, 279.54 it/sec, feas=True, obj=0.0582]
INFO - 10:04:14: 20%|██ | 51/250 [00:00<00:00, 277.35 it/sec, feas=True, obj=0.0573]
INFO - 10:04:14: 21%|██ | 52/250 [00:00<00:00, 277.18 it/sec, feas=True, obj=0.0573]
INFO - 10:04:14: 21%|██ | 53/250 [00:00<00:00, 274.55 it/sec, feas=True, obj=0.057]
INFO - 10:04:14: 22%|██▏ | 54/250 [00:00<00:00, 274.32 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 22%|██▏ | 55/250 [00:00<00:00, 274.70 it/sec, feas=True, obj=0.0586]
INFO - 10:04:14: 22%|██▏ | 56/250 [00:00<00:00, 275.97 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 23%|██▎ | 57/250 [00:00<00:00, 275.18 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 23%|██▎ | 58/250 [00:00<00:00, 272.57 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 24%|██▎ | 59/250 [00:00<00:00, 270.88 it/sec, feas=True, obj=0.0566]
INFO - 10:04:14: 24%|██▍ | 60/250 [00:00<00:00, 271.97 it/sec, feas=True, obj=0.0566]
INFO - 10:04:14: 24%|██▍ | 61/250 [00:00<00:00, 272.89 it/sec, feas=True, obj=0.0566]
INFO - 10:04:14: 25%|██▍ | 62/250 [00:00<00:00, 273.87 it/sec, feas=True, obj=0.0566]
INFO - 10:04:14: 25%|██▌ | 63/250 [00:00<00:00, 274.80 it/sec, feas=True, obj=0.0566]
INFO - 10:04:14: 26%|██▌ | 64/250 [00:00<00:00, 275.72 it/sec, feas=True, obj=0.0566]
INFO - 10:04:14: 26%|██▌ | 65/250 [00:00<00:00, 272.62 it/sec, feas=True, obj=0.0566]
INFO - 10:04:14: 26%|██▋ | 66/250 [00:00<00:00, 267.61 it/sec, feas=True, obj=0.0566]
INFO - 10:04:14: 27%|██▋ | 67/250 [00:00<00:00, 261.11 it/sec, feas=True, obj=0.0566]
INFO - 10:04:14: 27%|██▋ | 68/250 [00:00<00:00, 252.94 it/sec, feas=True, obj=0.0566]
INFO - 10:04:14: 28%|██▊ | 69/250 [00:00<00:00, 252.81 it/sec, feas=True, obj=0.0566]
INFO - 10:04:14: 28%|██▊ | 70/250 [00:00<00:00, 253.91 it/sec, feas=True, obj=0.0566]
INFO - 10:04:14: 28%|██▊ | 71/250 [00:00<00:00, 252.17 it/sec, feas=True, obj=0.0566]
INFO - 10:04:14: 29%|██▉ | 72/250 [00:00<00:00, 250.60 it/sec, feas=True, obj=0.0569]
INFO - 10:04:14: 29%|██▉ | 73/250 [00:00<00:00, 250.95 it/sec, feas=True, obj=0.0566]
INFO - 10:04:14: 30%|██▉ | 74/250 [00:00<00:00, 251.82 it/sec, feas=True, obj=0.0566]
INFO - 10:04:14: 30%|███ | 75/250 [00:00<00:00, 252.83 it/sec, feas=True, obj=0.0829]
INFO - 10:04:14: 30%|███ | 76/250 [00:00<00:00, 253.79 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 31%|███ | 77/250 [00:00<00:00, 254.73 it/sec, feas=True, obj=0.0566]
INFO - 10:04:14: 31%|███ | 78/250 [00:00<00:00, 255.63 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 32%|███▏ | 79/250 [00:00<00:00, 256.55 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 32%|███▏ | 80/250 [00:00<00:00, 257.45 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 32%|███▏ | 81/250 [00:00<00:00, 258.32 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 33%|███▎ | 82/250 [00:00<00:00, 259.20 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 33%|███▎ | 83/250 [00:00<00:00, 260.06 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 34%|███▎ | 84/250 [00:00<00:00, 260.97 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 34%|███▍ | 85/250 [00:00<00:00, 260.07 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 34%|███▍ | 86/250 [00:00<00:00, 260.82 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 35%|███▍ | 87/250 [00:00<00:00, 261.57 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 35%|███▌ | 88/250 [00:00<00:00, 262.39 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 36%|███▌ | 89/250 [00:00<00:00, 263.22 it/sec, feas=True, obj=0.0566]
INFO - 10:04:14: 36%|███▌ | 90/250 [00:00<00:00, 264.05 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 36%|███▋ | 91/250 [00:00<00:00, 264.89 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 37%|███▋ | 92/250 [00:00<00:00, 265.70 it/sec, feas=True, obj=0.0567]
INFO - 10:04:14: 37%|███▋ | 93/250 [00:00<00:00, 265.11 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 38%|███▊ | 94/250 [00:00<00:00, 265.90 it/sec, feas=True, obj=0.0575]
INFO - 10:04:14: 38%|███▊ | 95/250 [00:00<00:00, 266.62 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 38%|███▊ | 96/250 [00:00<00:00, 267.33 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 39%|███▉ | 97/250 [00:00<00:00, 268.09 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 39%|███▉ | 98/250 [00:00<00:00, 268.82 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 40%|███▉ | 99/250 [00:00<00:00, 269.51 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 40%|████ | 100/250 [00:00<00:00, 268.96 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 40%|████ | 101/250 [00:00<00:00, 269.64 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 41%|████ | 102/250 [00:00<00:00, 270.12 it/sec, feas=True, obj=0.0565]
INFO - 10:04:14: 41%|████ | 103/250 [00:00<00:00, 270.64 it/sec, feas=True, obj=0.0565]
INFO - 10:04:15: 42%|████▏ | 104/250 [00:00<00:00, 271.18 it/sec, feas=True, obj=0.0565]
INFO - 10:04:15: 42%|████▏ | 105/250 [00:00<00:00, 271.80 it/sec, feas=True, obj=0.0565]
INFO - 10:04:15: 42%|████▏ | 106/250 [00:00<00:00, 272.44 it/sec, feas=True, obj=0.0565]
INFO - 10:04:15: 43%|████▎ | 107/250 [00:00<00:00, 272.99 it/sec, feas=True, obj=0.0565]
INFO - 10:04:15: 43%|████▎ | 108/250 [00:00<00:00, 273.68 it/sec, feas=True, obj=0.0565]
INFO - 10:04:15: 44%|████▎ | 109/250 [00:00<00:00, 274.28 it/sec, feas=True, obj=0.0565]
INFO - 10:04:15: 44%|████▍ | 110/250 [00:00<00:00, 274.82 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 44%|████▍ | 111/250 [00:00<00:00, 275.31 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 45%|████▍ | 112/250 [00:00<00:00, 275.30 it/sec, feas=True, obj=0.0574]
INFO - 10:04:15: 45%|████▌ | 113/250 [00:00<00:00, 275.90 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 46%|████▌ | 114/250 [00:00<00:00, 276.39 it/sec, feas=True, obj=0.0565]
INFO - 10:04:15: 46%|████▌ | 115/250 [00:00<00:00, 276.86 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 46%|████▋ | 116/250 [00:00<00:00, 276.95 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 47%|████▋ | 117/250 [00:00<00:00, 277.48 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 47%|████▋ | 118/250 [00:00<00:00, 278.03 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 48%|████▊ | 119/250 [00:00<00:00, 278.55 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 48%|████▊ | 120/250 [00:00<00:00, 279.08 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 48%|████▊ | 121/250 [00:00<00:00, 278.28 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 49%|████▉ | 122/250 [00:00<00:00, 278.70 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 49%|████▉ | 123/250 [00:00<00:00, 279.13 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 50%|████▉ | 124/250 [00:00<00:00, 279.59 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 50%|█████ | 125/250 [00:00<00:00, 280.04 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 50%|█████ | 126/250 [00:00<00:00, 280.52 it/sec, feas=True, obj=0.0565]
INFO - 10:04:15: 51%|█████ | 127/250 [00:00<00:00, 280.97 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 51%|█████ | 128/250 [00:00<00:00, 281.46 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 52%|█████▏ | 129/250 [00:00<00:00, 281.92 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 52%|█████▏ | 130/250 [00:00<00:00, 282.36 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 52%|█████▏ | 131/250 [00:00<00:00, 282.73 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 53%|█████▎ | 132/250 [00:00<00:00, 283.14 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 53%|█████▎ | 133/250 [00:00<00:00, 283.59 it/sec, feas=True, obj=0.0564]
INFO - 10:04:15: 54%|█████▎ | 134/250 [00:00<00:00, 283.94 it/sec, feas=True, obj=0.0563]
INFO - 10:04:15: 54%|█████▍ | 135/250 [00:00<00:00, 284.36 it/sec, feas=True, obj=0.0563]
INFO - 10:04:15: 54%|█████▍ | 136/250 [00:00<00:00, 284.72 it/sec, feas=True, obj=0.0563]
INFO - 10:04:15: 55%|█████▍ | 137/250 [00:00<00:00, 285.16 it/sec, feas=True, obj=0.0563]
INFO - 10:04:15: 55%|█████▌ | 138/250 [00:00<00:00, 285.56 it/sec, feas=True, obj=0.0563]
INFO - 10:04:15: 56%|█████▌ | 139/250 [00:00<00:00, 285.94 it/sec, feas=True, obj=0.0563]
INFO - 10:04:15: 56%|█████▌ | 140/250 [00:00<00:00, 286.33 it/sec, feas=True, obj=0.0563]
INFO - 10:04:15: 56%|█████▋ | 141/250 [00:00<00:00, 286.77 it/sec, feas=True, obj=0.0566]
INFO - 10:04:15: 57%|█████▋ | 142/250 [00:00<00:00, 287.16 it/sec, feas=True, obj=0.0563]
INFO - 10:04:15: 57%|█████▋ | 143/250 [00:00<00:00, 287.55 it/sec, feas=True, obj=0.0563]
INFO - 10:04:15: 58%|█████▊ | 144/250 [00:00<00:00, 287.95 it/sec, feas=True, obj=0.0563]
INFO - 10:04:15: 58%|█████▊ | 145/250 [00:00<00:00, 288.35 it/sec, feas=True, obj=0.0563]
INFO - 10:04:15: 58%|█████▊ | 146/250 [00:00<00:00, 288.76 it/sec, feas=True, obj=0.0563]
INFO - 10:04:15: 59%|█████▉ | 147/250 [00:00<00:00, 289.13 it/sec, feas=True, obj=0.0563]
INFO - 10:04:15: 59%|█████▉ | 148/250 [00:00<00:00, 289.49 it/sec, feas=True, obj=0.0563]
INFO - 10:04:15: 60%|█████▉ | 149/250 [00:00<00:00, 289.74 it/sec, feas=True, obj=0.0562]
INFO - 10:04:15: 60%|██████ | 150/250 [00:00<00:00, 290.09 it/sec, feas=True, obj=0.0562]
INFO - 10:04:15: 60%|██████ | 151/250 [00:00<00:00, 290.42 it/sec, feas=True, obj=0.0562]
INFO - 10:04:15: 61%|██████ | 152/250 [00:00<00:00, 290.81 it/sec, feas=True, obj=0.0565]
INFO - 10:04:15: 61%|██████ | 153/250 [00:00<00:00, 291.15 it/sec, feas=True, obj=0.0562]
INFO - 10:04:15: 62%|██████▏ | 154/250 [00:00<00:00, 291.50 it/sec, feas=True, obj=0.103]
INFO - 10:04:15: 62%|██████▏ | 155/250 [00:00<00:00, 291.85 it/sec, feas=True, obj=0.0563]
INFO - 10:04:15: 62%|██████▏ | 156/250 [00:00<00:00, 292.20 it/sec, feas=True, obj=0.0562]
INFO - 10:04:15: 63%|██████▎ | 157/250 [00:00<00:00, 292.54 it/sec, feas=True, obj=0.0562]
INFO - 10:04:15: 63%|██████▎ | 158/250 [00:00<00:00, 292.87 it/sec, feas=True, obj=0.0562]
INFO - 10:04:15: 64%|██████▎ | 159/250 [00:00<00:00, 293.19 it/sec, feas=True, obj=0.0561]
INFO - 10:04:15: 64%|██████▍ | 160/250 [00:00<00:00, 293.50 it/sec, feas=True, obj=0.0561]
INFO - 10:04:15: 64%|██████▍ | 161/250 [00:00<00:00, 293.85 it/sec, feas=True, obj=0.0565]
INFO - 10:04:15: 65%|██████▍ | 162/250 [00:00<00:00, 294.18 it/sec, feas=True, obj=0.0561]
INFO - 10:04:15: 65%|██████▌ | 163/250 [00:00<00:00, 294.53 it/sec, feas=True, obj=0.0561]
INFO - 10:04:15: 66%|██████▌ | 164/250 [00:00<00:00, 294.83 it/sec, feas=True, obj=0.0561]
INFO - 10:04:15: 66%|██████▌ | 165/250 [00:00<00:00, 295.12 it/sec, feas=True, obj=0.0561]
INFO - 10:04:15: 66%|██████▋ | 166/250 [00:00<00:00, 295.41 it/sec, feas=True, obj=0.056]
INFO - 10:04:15: 67%|██████▋ | 167/250 [00:00<00:00, 295.68 it/sec, feas=True, obj=0.056]
INFO - 10:04:15: 67%|██████▋ | 168/250 [00:00<00:00, 296.00 it/sec, feas=True, obj=0.0559]
INFO - 10:04:15: 68%|██████▊ | 169/250 [00:00<00:00, 296.29 it/sec, feas=True, obj=0.056]
INFO - 10:04:15: 68%|██████▊ | 170/250 [00:00<00:00, 296.56 it/sec, feas=True, obj=0.0559]
INFO - 10:04:15: 68%|██████▊ | 171/250 [00:00<00:00, 296.74 it/sec, feas=True, obj=0.0558]
INFO - 10:04:15: 69%|██████▉ | 172/250 [00:00<00:00, 297.02 it/sec, feas=True, obj=0.777]
INFO - 10:04:15: 69%|██████▉ | 173/250 [00:00<00:00, 297.25 it/sec, feas=True, obj=0.0648]
INFO - 10:04:15: 70%|██████▉ | 174/250 [00:00<00:00, 297.48 it/sec, feas=True, obj=0.0558]
INFO - 10:04:15: 70%|███████ | 175/250 [00:00<00:00, 297.82 it/sec, feas=True, obj=0.45]
INFO - 10:04:15: 70%|███████ | 176/250 [00:00<00:00, 298.14 it/sec, feas=True, obj=0.0593]
INFO - 10:04:15: 71%|███████ | 177/250 [00:00<00:00, 298.44 it/sec, feas=True, obj=0.0558]
INFO - 10:04:15: 71%|███████ | 178/250 [00:00<00:00, 298.77 it/sec, feas=True, obj=0.057]
INFO - 10:04:15: 72%|███████▏ | 179/250 [00:00<00:00, 297.92 it/sec, feas=True, obj=0.0558]
INFO - 10:04:15: 72%|███████▏ | 180/250 [00:00<00:00, 298.09 it/sec, feas=True, obj=0.056]
INFO - 10:04:15: 72%|███████▏ | 181/250 [00:00<00:00, 298.33 it/sec, feas=True, obj=0.0557]
INFO - 10:04:15: 73%|███████▎ | 182/250 [00:00<00:00, 298.48 it/sec, feas=True, obj=0.0557]
INFO - 10:04:15: 73%|███████▎ | 183/250 [00:00<00:00, 298.70 it/sec, feas=True, obj=0.0618]
INFO - 10:04:15: 74%|███████▎ | 184/250 [00:00<00:00, 298.86 it/sec, feas=True, obj=0.0557]
INFO - 10:04:15: 74%|███████▍ | 185/250 [00:00<00:00, 299.04 it/sec, feas=True, obj=0.0594]
INFO - 10:04:15: 74%|███████▍ | 186/250 [00:00<00:00, 299.28 it/sec, feas=True, obj=0.0557]
INFO - 10:04:15: 75%|███████▍ | 187/250 [00:00<00:00, 299.47 it/sec, feas=True, obj=0.0556]
INFO - 10:04:15: 75%|███████▌ | 188/250 [00:00<00:00, 299.66 it/sec, feas=True, obj=0.0556]
INFO - 10:04:15: 76%|███████▌ | 189/250 [00:00<00:00, 299.91 it/sec, feas=True, obj=0.0957]
INFO - 10:04:15: 76%|███████▌ | 190/250 [00:00<00:00, 300.12 it/sec, feas=True, obj=0.0556]
INFO - 10:04:15: 76%|███████▋ | 191/250 [00:00<00:00, 300.32 it/sec, feas=True, obj=0.0556]
INFO - 10:04:15: 77%|███████▋ | 192/250 [00:00<00:00, 300.60 it/sec, feas=True, obj=0.0556]
INFO - 10:04:15: 77%|███████▋ | 193/250 [00:00<00:00, 300.87 it/sec, feas=True, obj=0.0556]
INFO - 10:04:15: 78%|███████▊ | 194/250 [00:00<00:00, 301.12 it/sec, feas=True, obj=0.0556]
INFO - 10:04:15: 78%|███████▊ | 195/250 [00:00<00:00, 301.40 it/sec, feas=True, obj=0.0556]
INFO - 10:04:15: 78%|███████▊ | 196/250 [00:00<00:00, 301.63 it/sec, feas=True, obj=0.0556]
INFO - 10:04:15: 79%|███████▉ | 197/250 [00:00<00:00, 301.91 it/sec, feas=True, obj=0.0556]
INFO - 10:04:15: 79%|███████▉ | 198/250 [00:00<00:00, 302.10 it/sec, feas=True, obj=0.0556]
INFO - 10:04:15: 80%|███████▉ | 199/250 [00:00<00:00, 302.27 it/sec, feas=True, obj=0.0556]
INFO - 10:04:15: 80%|████████ | 200/250 [00:00<00:00, 302.43 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 80%|████████ | 201/250 [00:00<00:00, 302.60 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 81%|████████ | 202/250 [00:00<00:00, 302.02 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 81%|████████ | 203/250 [00:00<00:00, 302.25 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 82%|████████▏ | 204/250 [00:00<00:00, 302.47 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 82%|████████▏ | 205/250 [00:00<00:00, 302.63 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 82%|████████▏ | 206/250 [00:00<00:00, 302.86 it/sec, feas=True, obj=0.0556]
INFO - 10:04:15: 83%|████████▎ | 207/250 [00:00<00:00, 303.07 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 83%|████████▎ | 208/250 [00:00<00:00, 303.25 it/sec, feas=True, obj=0.0556]
INFO - 10:04:15: 84%|████████▎ | 209/250 [00:00<00:00, 303.42 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 84%|████████▍ | 210/250 [00:00<00:00, 303.65 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 84%|████████▍ | 211/250 [00:00<00:00, 303.87 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 85%|████████▍ | 212/250 [00:00<00:00, 304.09 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 85%|████████▌ | 213/250 [00:00<00:00, 303.49 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 86%|████████▌ | 214/250 [00:00<00:00, 303.70 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 86%|████████▌ | 215/250 [00:00<00:00, 303.93 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 86%|████████▋ | 216/250 [00:00<00:00, 304.15 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 87%|████████▋ | 217/250 [00:00<00:00, 304.39 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 87%|████████▋ | 218/250 [00:00<00:00, 304.62 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 88%|████████▊ | 219/250 [00:00<00:00, 304.83 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 88%|████████▊ | 220/250 [00:00<00:00, 304.97 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 88%|████████▊ | 221/250 [00:00<00:00, 305.10 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 89%|████████▉ | 222/250 [00:00<00:00, 305.24 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 89%|████████▉ | 223/250 [00:00<00:00, 305.42 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 90%|████████▉ | 224/250 [00:00<00:00, 305.56 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 90%|█████████ | 225/250 [00:00<00:00, 305.70 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 90%|█████████ | 226/250 [00:00<00:00, 305.89 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 91%|█████████ | 227/250 [00:00<00:00, 306.02 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 91%|█████████ | 228/250 [00:00<00:00, 306.10 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 92%|█████████▏| 229/250 [00:00<00:00, 306.12 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 92%|█████████▏| 230/250 [00:00<00:00, 306.25 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 92%|█████████▏| 231/250 [00:00<00:00, 306.41 it/sec, feas=True, obj=0.0603]
INFO - 10:04:15: 93%|█████████▎| 232/250 [00:00<00:00, 306.63 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 93%|█████████▎| 233/250 [00:00<00:00, 306.77 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 94%|█████████▎| 234/250 [00:00<00:00, 306.91 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 94%|█████████▍| 235/250 [00:00<00:00, 307.03 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 94%|█████████▍| 236/250 [00:00<00:00, 307.15 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 95%|█████████▍| 237/250 [00:00<00:00, 307.25 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 95%|█████████▌| 238/250 [00:00<00:00, 307.38 it/sec, feas=True, obj=0.0556]
INFO - 10:04:15: 96%|█████████▌| 239/250 [00:00<00:00, 307.48 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 96%|█████████▌| 240/250 [00:00<00:00, 307.56 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 96%|█████████▋| 241/250 [00:00<00:00, 307.62 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 97%|█████████▋| 242/250 [00:00<00:00, 307.72 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 97%|█████████▋| 243/250 [00:00<00:00, 307.83 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 98%|█████████▊| 244/250 [00:00<00:00, 307.93 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 98%|█████████▊| 245/250 [00:00<00:00, 308.04 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 98%|█████████▊| 246/250 [00:00<00:00, 308.13 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 99%|█████████▉| 247/250 [00:00<00:00, 308.22 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 99%|█████████▉| 248/250 [00:00<00:00, 308.31 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 100%|█████████▉| 249/250 [00:00<00:00, 308.43 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: 100%|██████████| 250/250 [00:00<00:00, 308.51 it/sec, feas=True, obj=0.0555]
INFO - 10:04:15: Optimization result:
INFO - 10:04:15: Optimizer info:
INFO - 10:04:15: Status: None
INFO - 10:04:15: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 10:04:15: Solution:
INFO - 10:04:15: Objective: 0.05552997245852822
INFO - 10:04:15: Design space:
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: | left_asymptote | 0 | 0.002187845555741371 | 0.004918571102090962 | float |
INFO - 10:04:15: | capacity | 0.002245594325533182 | 0.02397008586838038 | 0.04918571102090963 | float |
INFO - 10:04:15: | growth_rate | 0.0001084690661636759 | 0.0002695226091848315 | 0.0009762215954730827 | float |
INFO - 10:04:15: | x_lag | 0 | 0 | 11330.45367049352 | float |
INFO - 10:04:15: | logistic_nu | 0.1 | 0.1368505990708704 | 10 | float |
INFO - 10:04:15: | asymptote_coeff | 0.1 | 1.298406845474619 | 10 | float |
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: Optimization problem:
INFO - 10:04:15: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:15: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:15: over the design space:
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: | left_asymptote | 0 | 0.003233870242126272 | 0.004918571102090962 | float |
INFO - 10:04:15: | capacity | 0.002245594325533182 | 0.04330406689446865 | 0.04918571102090963 | float |
INFO - 10:04:15: | growth_rate | 0.0001084690661636759 | 0.0003760436663246165 | 0.0009762215954730827 | float |
INFO - 10:04:15: | x_lag | 0 | 1030.612403277607 | 11330.45367049352 | float |
INFO - 10:04:15: | logistic_nu | 0.1 | 1.720671591034137 | 10 | float |
INFO - 10:04:15: | asymptote_coeff | 0.1 | 6.258728338364227 | 10 | float |
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:15: 1%| | 2/250 [00:00<00:00, 381.49 it/sec, feas=True, obj=1]
INFO - 10:04:15: 1%| | 3/250 [00:00<00:00, 388.37 it/sec, feas=True, obj=0.823]
INFO - 10:04:15: 2%|▏ | 4/250 [00:00<00:00, 340.72 it/sec, feas=True, obj=0.255]
INFO - 10:04:15: 2%|▏ | 5/250 [00:00<00:00, 343.63 it/sec, feas=True, obj=0.308]
INFO - 10:04:15: 2%|▏ | 6/250 [00:00<00:00, 342.77 it/sec, feas=True, obj=0.25]
INFO - 10:04:15: 3%|▎ | 7/250 [00:00<00:00, 342.73 it/sec, feas=True, obj=0.25]
INFO - 10:04:15: 3%|▎ | 8/250 [00:00<00:00, 333.30 it/sec, feas=True, obj=0.25]
INFO - 10:04:15: 4%|▎ | 9/250 [00:00<00:00, 335.87 it/sec, feas=True, obj=0.25]
INFO - 10:04:15: 4%|▍ | 10/250 [00:00<00:00, 337.72 it/sec, feas=True, obj=0.25]
INFO - 10:04:15: Optimization result:
INFO - 10:04:15: Optimizer info:
INFO - 10:04:15: Status: None
INFO - 10:04:15: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:15: Solution:
INFO - 10:04:15: Objective: 0.24999733744302827
INFO - 10:04:15: Design space:
INFO - 10:04:15: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:15: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:15: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:15: | left_asymptote | 0 | 0.003248248052608942 | 0.004918571102090962 | float |
INFO - 10:04:15: | capacity | 0.002245594325533182 | 0.03508051569430804 | 0.04918571102090963 | float |
INFO - 10:04:15: | growth_rate | 0.0001084690661636759 | 0.00034845823292522 | 0.0009762215954730827 | float |
INFO - 10:04:15: | x_lag | 0 | 1947.95078463447 | 11330.45367049352 | float |
INFO - 10:04:15: | logistic_nu | 0.1 | 0.100055848618479 | 10 | float |
INFO - 10:04:15: | asymptote_coeff | 0.1 | 7.114519960899463 | 10 | float |
INFO - 10:04:15: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:15: Optimization problem:
INFO - 10:04:15: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:15: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:15: over the design space:
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: | left_asymptote | 0 | 0.0004750137239201853 | 0.004918571102090962 | float |
INFO - 10:04:15: | capacity | 0.002245594325533182 | 0.03539262956331145 | 0.04918571102090963 | float |
INFO - 10:04:15: | growth_rate | 0.0001084690661636759 | 0.0003580515692923768 | 0.0009762215954730827 | float |
INFO - 10:04:15: | x_lag | 0 | 10786.97797997679 | 11330.45367049352 | float |
INFO - 10:04:15: | logistic_nu | 0.1 | 6.787332013229979 | 10 | float |
INFO - 10:04:15: | asymptote_coeff | 0.1 | 1.867656520116681 | 10 | float |
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:15: 1%| | 2/250 [00:00<00:00, 382.74 it/sec, feas=True, obj=1]
INFO - 10:04:15: 1%| | 3/250 [00:00<00:00, 393.86 it/sec, feas=True, obj=0.81]
INFO - 10:04:15: 2%|▏ | 4/250 [00:00<00:00, 384.14 it/sec, feas=True, obj=0.251]
INFO - 10:04:15: 2%|▏ | 5/250 [00:00<00:00, 376.77 it/sec, feas=True, obj=0.258]
INFO - 10:04:15: 2%|▏ | 6/250 [00:00<00:00, 350.42 it/sec, feas=True, obj=0.25]
INFO - 10:04:15: 3%|▎ | 7/250 [00:00<00:00, 351.90 it/sec, feas=True, obj=0.25]
INFO - 10:04:15: 3%|▎ | 8/250 [00:00<00:00, 349.70 it/sec, feas=True, obj=0.25]
INFO - 10:04:15: Optimization result:
INFO - 10:04:15: Optimizer info:
INFO - 10:04:15: Status: 0
INFO - 10:04:15: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:15: Solution:
INFO - 10:04:15: Objective: 0.24999734447723027
INFO - 10:04:15: Design space:
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: | left_asymptote | 0 | 0.003248248690867211 | 0.004918571102090962 | float |
INFO - 10:04:15: | capacity | 0.002245594325533182 | 0.002245594326258809 | 0.04918571102090963 | float |
INFO - 10:04:15: | growth_rate | 0.0001084690661636759 | 0.0009762215954730827 | 0.0009762215954730827 | float |
INFO - 10:04:15: | x_lag | 0 | 11330.45367049352 | 11330.45367049352 | float |
INFO - 10:04:15: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:15: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: Optimization problem:
INFO - 10:04:15: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:15: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:15: over the design space:
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: | left_asymptote | 0 | 0.003175356644844351 | 0.004918571102090962 | float |
INFO - 10:04:15: | capacity | 0.002245594325533182 | 0.03491099731534288 | 0.04918571102090963 | float |
INFO - 10:04:15: | growth_rate | 0.0001084690661636759 | 0.0009505559744775855 | 0.0009762215954730827 | float |
INFO - 10:04:15: | x_lag | 0 | 2770.829797792429 | 11330.45367049352 | float |
INFO - 10:04:15: | logistic_nu | 0.1 | 6.425630516779915 | 10 | float |
INFO - 10:04:15: | asymptote_coeff | 0.1 | 1.548411432916598 | 10 | float |
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:15: 1%| | 2/250 [00:00<00:00, 324.81 it/sec, feas=True, obj=0.355]
INFO - 10:04:15: 1%| | 3/250 [00:00<00:00, 336.86 it/sec, feas=True, obj=0.28]
INFO - 10:04:15: 2%|▏ | 4/250 [00:00<00:00, 330.92 it/sec, feas=True, obj=0.266]
INFO - 10:04:15: 2%|▏ | 5/250 [00:00<00:00, 331.23 it/sec, feas=True, obj=0.25]
INFO - 10:04:15: 2%|▏ | 6/250 [00:00<00:00, 301.19 it/sec, feas=True, obj=0.25]
INFO - 10:04:15: 3%|▎ | 7/250 [00:00<00:00, 306.56 it/sec, feas=True, obj=0.25]
INFO - 10:04:15: Optimization result:
INFO - 10:04:15: Optimizer info:
INFO - 10:04:15: Status: 0
INFO - 10:04:15: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:15: Solution:
INFO - 10:04:15: Objective: 0.24999734447723043
INFO - 10:04:15: Design space:
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: | left_asymptote | 0 | 0.00324824866310697 | 0.004918571102090962 | float |
INFO - 10:04:15: | capacity | 0.002245594325533182 | 0.002245594326556784 | 0.04918571102090963 | float |
INFO - 10:04:15: | growth_rate | 0.0001084690661636759 | 0.0009762215954730827 | 0.0009762215954730827 | float |
INFO - 10:04:15: | x_lag | 0 | 11330.45367049352 | 11330.45367049352 | float |
INFO - 10:04:15: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:15: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: Optimization problem:
INFO - 10:04:15: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:15: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:15: over the design space:
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: | left_asymptote | 0 | 0.0009418356217033591 | 0.004918571102090962 | float |
INFO - 10:04:15: | capacity | 0.002245594325533182 | 0.00552869405382459 | 0.04918571102090963 | float |
INFO - 10:04:15: | growth_rate | 0.0001084690661636759 | 0.0008719847181803159 | 0.0009762215954730827 | float |
INFO - 10:04:15: | x_lag | 0 | 1267.507720938871 | 11330.45367049352 | float |
INFO - 10:04:15: | logistic_nu | 0.1 | 7.841656902223648 | 10 | float |
INFO - 10:04:15: | asymptote_coeff | 0.1 | 5.549818106841609 | 10 | float |
INFO - 10:04:15: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:15: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:15: 1%| | 2/250 [00:00<00:00, 373.21 it/sec, feas=True, obj=0.574]
INFO - 10:04:15: 1%| | 3/250 [00:00<00:00, 388.45 it/sec, feas=True, obj=0.246]
INFO - 10:04:15: 2%|▏ | 4/250 [00:00<00:00, 381.02 it/sec, feas=True, obj=0.246]
INFO - 10:04:15: 2%|▏ | 5/250 [00:00<00:00, 373.18 it/sec, feas=True, obj=0.245]
INFO - 10:04:15: 2%|▏ | 6/250 [00:00<00:00, 366.90 it/sec, feas=True, obj=0.245]
INFO - 10:04:15: 3%|▎ | 7/250 [00:00<00:00, 366.34 it/sec, feas=True, obj=0.245]
INFO - 10:04:15: 3%|▎ | 8/250 [00:00<00:00, 365.66 it/sec, feas=True, obj=0.245]
INFO - 10:04:15: 4%|▎ | 9/250 [00:00<00:00, 364.95 it/sec, feas=True, obj=0.243]
INFO - 10:04:15: 4%|▍ | 10/250 [00:00<00:00, 364.73 it/sec, feas=True, obj=0.238]
INFO - 10:04:15: 4%|▍ | 11/250 [00:00<00:00, 364.45 it/sec, feas=True, obj=0.238]
INFO - 10:04:15: 5%|▍ | 12/250 [00:00<00:00, 363.98 it/sec, feas=True, obj=0.237]
INFO - 10:04:15: 5%|▌ | 13/250 [00:00<00:00, 363.13 it/sec, feas=True, obj=0.237]
INFO - 10:04:15: 6%|▌ | 14/250 [00:00<00:00, 362.63 it/sec, feas=True, obj=0.236]
INFO - 10:04:15: 6%|▌ | 15/250 [00:00<00:00, 360.46 it/sec, feas=True, obj=0.223]
INFO - 10:04:15: 6%|▋ | 16/250 [00:00<00:00, 359.79 it/sec, feas=True, obj=0.454]
INFO - 10:04:15: 7%|▋ | 17/250 [00:00<00:00, 351.26 it/sec, feas=True, obj=0.187]
INFO - 10:04:15: 7%|▋ | 18/250 [00:00<00:00, 352.37 it/sec, feas=True, obj=0.161]
INFO - 10:04:15: 8%|▊ | 19/250 [00:00<00:00, 353.09 it/sec, feas=True, obj=0.154]
INFO - 10:04:15: 8%|▊ | 20/250 [00:00<00:00, 353.82 it/sec, feas=True, obj=0.153]
INFO - 10:04:15: 8%|▊ | 21/250 [00:00<00:00, 354.67 it/sec, feas=True, obj=0.493]
INFO - 10:04:15: 9%|▉ | 22/250 [00:00<00:00, 355.30 it/sec, feas=True, obj=1.02]
INFO - 10:04:15: 9%|▉ | 23/250 [00:00<00:00, 355.68 it/sec, feas=True, obj=0.172]
INFO - 10:04:15: 10%|▉ | 24/250 [00:00<00:00, 356.15 it/sec, feas=True, obj=0.148]
INFO - 10:04:15: 10%|█ | 25/250 [00:00<00:00, 356.92 it/sec, feas=True, obj=0.557]
INFO - 10:04:15: 10%|█ | 26/250 [00:00<00:00, 356.94 it/sec, feas=True, obj=0.548]
INFO - 10:04:15: 11%|█ | 27/250 [00:00<00:00, 350.99 it/sec, feas=True, obj=0.148]
INFO - 10:04:15: 11%|█ | 28/250 [00:00<00:00, 351.45 it/sec, feas=True, obj=0.776]
INFO - 10:04:15: 12%|█▏ | 29/250 [00:00<00:00, 351.91 it/sec, feas=True, obj=0.143]
INFO - 10:04:15: 12%|█▏ | 30/250 [00:00<00:00, 352.46 it/sec, feas=True, obj=0.138]
INFO - 10:04:15: 12%|█▏ | 31/250 [00:00<00:00, 352.88 it/sec, feas=True, obj=0.13]
INFO - 10:04:15: 13%|█▎ | 32/250 [00:00<00:00, 352.76 it/sec, feas=True, obj=0.117]
INFO - 10:04:15: 13%|█▎ | 33/250 [00:00<00:00, 352.67 it/sec, feas=True, obj=0.0796]
INFO - 10:04:15: 14%|█▎ | 34/250 [00:00<00:00, 353.30 it/sec, feas=True, obj=0.0957]
INFO - 10:04:15: 14%|█▍ | 35/250 [00:00<00:00, 353.72 it/sec, feas=True, obj=0.0694]
INFO - 10:04:15: 14%|█▍ | 36/250 [00:00<00:00, 354.04 it/sec, feas=True, obj=0.0736]
INFO - 10:04:15: 15%|█▍ | 37/250 [00:00<00:00, 354.38 it/sec, feas=True, obj=0.068]
INFO - 10:04:15: 15%|█▌ | 38/250 [00:00<00:00, 354.80 it/sec, feas=True, obj=0.0648]
INFO - 10:04:15: 16%|█▌ | 39/250 [00:00<00:00, 355.03 it/sec, feas=True, obj=0.0614]
INFO - 10:04:15: 16%|█▌ | 40/250 [00:00<00:00, 355.22 it/sec, feas=True, obj=0.0612]
INFO - 10:04:15: 16%|█▋ | 41/250 [00:00<00:00, 349.22 it/sec, feas=True, obj=0.0611]
INFO - 10:04:15: 17%|█▋ | 42/250 [00:00<00:00, 349.11 it/sec, feas=True, obj=0.0611]
INFO - 10:04:15: 17%|█▋ | 43/250 [00:00<00:00, 349.50 it/sec, feas=True, obj=0.061]
INFO - 10:04:15: 18%|█▊ | 44/250 [00:00<00:00, 349.87 it/sec, feas=True, obj=0.0616]
INFO - 10:04:15: 18%|█▊ | 45/250 [00:00<00:00, 350.15 it/sec, feas=True, obj=0.0609]
INFO - 10:04:15: 18%|█▊ | 46/250 [00:00<00:00, 350.58 it/sec, feas=True, obj=0.0608]
INFO - 10:04:15: 19%|█▉ | 47/250 [00:00<00:00, 350.72 it/sec, feas=True, obj=0.0605]
INFO - 10:04:15: 19%|█▉ | 48/250 [00:00<00:00, 351.05 it/sec, feas=True, obj=0.112]
INFO - 10:04:15: 20%|█▉ | 49/250 [00:00<00:00, 351.28 it/sec, feas=True, obj=0.0605]
INFO - 10:04:15: 20%|██ | 50/250 [00:00<00:00, 351.55 it/sec, feas=True, obj=0.0603]
INFO - 10:04:15: 20%|██ | 51/250 [00:00<00:00, 351.83 it/sec, feas=True, obj=0.0603]
INFO - 10:04:15: 21%|██ | 52/250 [00:00<00:00, 351.99 it/sec, feas=True, obj=0.0603]
INFO - 10:04:15: 21%|██ | 53/250 [00:00<00:00, 352.30 it/sec, feas=True, obj=0.0603]
INFO - 10:04:15: 22%|██▏ | 54/250 [00:00<00:00, 351.96 it/sec, feas=True, obj=0.0603]
INFO - 10:04:15: 22%|██▏ | 55/250 [00:00<00:00, 352.00 it/sec, feas=True, obj=0.0602]
INFO - 10:04:15: 22%|██▏ | 56/250 [00:00<00:00, 351.76 it/sec, feas=True, obj=0.0599]
INFO - 10:04:15: 23%|██▎ | 57/250 [00:00<00:00, 351.61 it/sec, feas=True, obj=0.06]
INFO - 10:04:15: 23%|██▎ | 58/250 [00:00<00:00, 351.39 it/sec, feas=True, obj=0.0598]
INFO - 10:04:15: 24%|██▎ | 59/250 [00:00<00:00, 351.19 it/sec, feas=True, obj=0.0594]
INFO - 10:04:15: 24%|██▍ | 60/250 [00:00<00:00, 350.92 it/sec, feas=True, obj=0.0585]
INFO - 10:04:15: 24%|██▍ | 61/250 [00:00<00:00, 350.78 it/sec, feas=True, obj=0.24]
INFO - 10:04:15: 25%|██▍ | 62/250 [00:00<00:00, 350.55 it/sec, feas=True, obj=0.0584]
INFO - 10:04:15: 25%|██▌ | 63/250 [00:00<00:00, 350.50 it/sec, feas=True, obj=0.0756]
INFO - 10:04:15: 26%|██▌ | 64/250 [00:00<00:00, 348.67 it/sec, feas=True, obj=0.058]
INFO - 10:04:15: 26%|██▌ | 65/250 [00:00<00:00, 348.84 it/sec, feas=True, obj=0.0582]
INFO - 10:04:15: 26%|██▋ | 66/250 [00:00<00:00, 349.00 it/sec, feas=True, obj=0.0577]
INFO - 10:04:15: 27%|██▋ | 67/250 [00:00<00:00, 349.13 it/sec, feas=True, obj=0.0579]
INFO - 10:04:15: 27%|██▋ | 68/250 [00:00<00:00, 349.18 it/sec, feas=True, obj=0.0576]
INFO - 10:04:15: 28%|██▊ | 69/250 [00:00<00:00, 349.14 it/sec, feas=True, obj=0.0575]
INFO - 10:04:15: 28%|██▊ | 70/250 [00:00<00:00, 349.04 it/sec, feas=True, obj=0.0575]
INFO - 10:04:15: 28%|██▊ | 71/250 [00:00<00:00, 348.53 it/sec, feas=True, obj=0.0574]
INFO - 10:04:15: 29%|██▉ | 72/250 [00:00<00:00, 348.64 it/sec, feas=True, obj=0.0573]
INFO - 10:04:15: 29%|██▉ | 73/250 [00:00<00:00, 348.66 it/sec, feas=True, obj=0.0579]
INFO - 10:04:15: 30%|██▉ | 74/250 [00:00<00:00, 348.85 it/sec, feas=True, obj=0.0573]
INFO - 10:04:15: 30%|███ | 75/250 [00:00<00:00, 348.95 it/sec, feas=True, obj=0.0572]
INFO - 10:04:15: 30%|███ | 76/250 [00:00<00:00, 346.39 it/sec, feas=True, obj=0.0572]
INFO - 10:04:15: 31%|███ | 77/250 [00:00<00:00, 346.57 it/sec, feas=True, obj=0.0572]
INFO - 10:04:15: 31%|███ | 78/250 [00:00<00:00, 346.74 it/sec, feas=True, obj=0.0572]
INFO - 10:04:15: 32%|███▏ | 79/250 [00:00<00:00, 346.89 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 32%|███▏ | 80/250 [00:00<00:00, 347.05 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 32%|███▏ | 81/250 [00:00<00:00, 347.27 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 33%|███▎ | 82/250 [00:00<00:00, 347.43 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 33%|███▎ | 83/250 [00:00<00:00, 347.17 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 34%|███▎ | 84/250 [00:00<00:00, 347.40 it/sec, feas=True, obj=0.0585]
INFO - 10:04:15: 34%|███▍ | 85/250 [00:00<00:00, 347.50 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 34%|███▍ | 86/250 [00:00<00:00, 347.67 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 35%|███▍ | 87/250 [00:00<00:00, 347.40 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 35%|███▌ | 88/250 [00:00<00:00, 347.18 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 36%|███▌ | 89/250 [00:00<00:00, 347.11 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 36%|███▌ | 90/250 [00:00<00:00, 347.30 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 36%|███▋ | 91/250 [00:00<00:00, 347.44 it/sec, feas=True, obj=0.0573]
INFO - 10:04:15: 37%|███▋ | 92/250 [00:00<00:00, 347.29 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 37%|███▋ | 93/250 [00:00<00:00, 347.35 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 38%|███▊ | 94/250 [00:00<00:00, 347.52 it/sec, feas=True, obj=0.0741]
INFO - 10:04:15: 38%|███▊ | 95/250 [00:00<00:00, 347.69 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 38%|███▊ | 96/250 [00:00<00:00, 347.67 it/sec, feas=True, obj=0.0581]
INFO - 10:04:15: 39%|███▉ | 97/250 [00:00<00:00, 347.78 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 39%|███▉ | 98/250 [00:00<00:00, 347.77 it/sec, feas=True, obj=0.0573]
INFO - 10:04:15: 40%|███▉ | 99/250 [00:00<00:00, 347.66 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 40%|████ | 100/250 [00:00<00:00, 347.82 it/sec, feas=True, obj=0.222]
INFO - 10:04:15: 40%|████ | 101/250 [00:00<00:00, 348.07 it/sec, feas=True, obj=0.0573]
INFO - 10:04:15: 41%|████ | 102/250 [00:00<00:00, 348.01 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 41%|████ | 103/250 [00:00<00:00, 348.18 it/sec, feas=True, obj=0.0598]
INFO - 10:04:15: 42%|████▏ | 104/250 [00:00<00:00, 348.15 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 42%|████▏ | 105/250 [00:00<00:00, 348.12 it/sec, feas=True, obj=0.0579]
INFO - 10:04:15: 42%|████▏ | 106/250 [00:00<00:00, 348.20 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 43%|████▎ | 107/250 [00:00<00:00, 348.40 it/sec, feas=True, obj=0.0576]
INFO - 10:04:15: 43%|████▎ | 108/250 [00:00<00:00, 348.40 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 44%|████▎ | 109/250 [00:00<00:00, 348.40 it/sec, feas=True, obj=0.0575]
INFO - 10:04:15: 44%|████▍ | 110/250 [00:00<00:00, 348.27 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 44%|████▍ | 111/250 [00:00<00:00, 348.29 it/sec, feas=True, obj=0.0575]
INFO - 10:04:15: 45%|████▍ | 112/250 [00:00<00:00, 348.27 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 45%|████▌ | 113/250 [00:00<00:00, 348.41 it/sec, feas=True, obj=0.0573]
INFO - 10:04:15: 46%|████▌ | 114/250 [00:00<00:00, 348.57 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 46%|████▌ | 115/250 [00:00<00:00, 348.56 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 46%|████▋ | 116/250 [00:00<00:00, 348.51 it/sec, feas=True, obj=0.057]
INFO - 10:04:15: 47%|████▋ | 117/250 [00:00<00:00, 348.65 it/sec, feas=True, obj=0.0656]
INFO - 10:04:15: 47%|████▋ | 118/250 [00:00<00:00, 348.78 it/sec, feas=True, obj=0.057]
INFO - 10:04:15: 48%|████▊ | 119/250 [00:00<00:00, 348.95 it/sec, feas=True, obj=0.0571]
INFO - 10:04:15: 48%|████▊ | 120/250 [00:00<00:00, 349.02 it/sec, feas=True, obj=0.057]
INFO - 10:04:15: 48%|████▊ | 121/250 [00:00<00:00, 349.11 it/sec, feas=True, obj=0.057]
INFO - 10:04:15: 49%|████▉ | 122/250 [00:00<00:00, 349.04 it/sec, feas=True, obj=0.057]
INFO - 10:04:15: 49%|████▉ | 123/250 [00:00<00:00, 349.06 it/sec, feas=True, obj=0.0603]
INFO - 10:04:15: 50%|████▉ | 124/250 [00:00<00:00, 349.24 it/sec, feas=True, obj=0.057]
INFO - 10:04:15: 50%|█████ | 125/250 [00:00<00:00, 349.32 it/sec, feas=True, obj=0.057]
INFO - 10:04:15: 50%|█████ | 126/250 [00:00<00:00, 349.42 it/sec, feas=True, obj=0.0591]
INFO - 10:04:15: 51%|█████ | 127/250 [00:00<00:00, 349.51 it/sec, feas=True, obj=0.057]
INFO - 10:04:15: 51%|█████ | 128/250 [00:00<00:00, 349.70 it/sec, feas=True, obj=0.0592]
INFO - 10:04:15: 52%|█████▏ | 129/250 [00:00<00:00, 349.82 it/sec, feas=True, obj=0.057]
INFO - 10:04:15: 52%|█████▏ | 130/250 [00:00<00:00, 349.93 it/sec, feas=True, obj=0.057]
INFO - 10:04:15: 52%|█████▏ | 131/250 [00:00<00:00, 350.05 it/sec, feas=True, obj=0.057]
INFO - 10:04:15: 53%|█████▎ | 132/250 [00:00<00:00, 347.97 it/sec, feas=True, obj=0.0581]
INFO - 10:04:15: 53%|█████▎ | 133/250 [00:00<00:00, 348.06 it/sec, feas=True, obj=0.057]
INFO - 10:04:15: 54%|█████▎ | 134/250 [00:00<00:00, 347.90 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 54%|█████▍ | 135/250 [00:00<00:00, 347.81 it/sec, feas=True, obj=0.057]
INFO - 10:04:15: 54%|█████▍ | 136/250 [00:00<00:00, 347.74 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 55%|█████▍ | 137/250 [00:00<00:00, 347.65 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 55%|█████▌ | 138/250 [00:00<00:00, 347.60 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 56%|█████▌ | 139/250 [00:00<00:00, 347.55 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 56%|█████▌ | 140/250 [00:00<00:00, 347.41 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 56%|█████▋ | 141/250 [00:00<00:00, 347.46 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 57%|█████▋ | 142/250 [00:00<00:00, 347.55 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 57%|█████▋ | 143/250 [00:00<00:00, 345.91 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 58%|█████▊ | 144/250 [00:00<00:00, 345.99 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 58%|█████▊ | 145/250 [00:00<00:00, 346.04 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 58%|█████▊ | 146/250 [00:00<00:00, 346.01 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 59%|█████▉ | 147/250 [00:00<00:00, 346.03 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 59%|█████▉ | 148/250 [00:00<00:00, 345.97 it/sec, feas=True, obj=0.0749]
INFO - 10:04:15: 60%|█████▉ | 149/250 [00:00<00:00, 346.01 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 60%|██████ | 150/250 [00:00<00:00, 346.04 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 60%|██████ | 151/250 [00:00<00:00, 346.16 it/sec, feas=True, obj=0.083]
INFO - 10:04:15: 61%|██████ | 152/250 [00:00<00:00, 346.25 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 61%|██████ | 153/250 [00:00<00:00, 346.22 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 62%|██████▏ | 154/250 [00:00<00:00, 346.33 it/sec, feas=True, obj=0.057]
INFO - 10:04:15: 62%|██████▏ | 155/250 [00:00<00:00, 346.43 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 62%|██████▏ | 156/250 [00:00<00:00, 346.54 it/sec, feas=True, obj=0.0568]
INFO - 10:04:15: 63%|██████▎ | 157/250 [00:00<00:00, 346.64 it/sec, feas=True, obj=0.0569]
INFO - 10:04:15: 63%|██████▎ | 158/250 [00:00<00:00, 346.72 it/sec, feas=True, obj=0.0568]
INFO - 10:04:15: 64%|██████▎ | 159/250 [00:00<00:00, 346.85 it/sec, feas=True, obj=0.0568]
INFO - 10:04:15: 64%|██████▍ | 160/250 [00:00<00:00, 346.96 it/sec, feas=True, obj=0.0568]
INFO - 10:04:15: 64%|██████▍ | 161/250 [00:00<00:00, 347.06 it/sec, feas=True, obj=0.0568]
INFO - 10:04:15: 65%|██████▍ | 162/250 [00:00<00:00, 347.14 it/sec, feas=True, obj=0.0568]
INFO - 10:04:15: 65%|██████▌ | 163/250 [00:00<00:00, 347.26 it/sec, feas=True, obj=0.0568]
INFO - 10:04:15: 66%|██████▌ | 164/250 [00:00<00:00, 347.37 it/sec, feas=True, obj=0.0568]
INFO - 10:04:15: 66%|██████▌ | 165/250 [00:00<00:00, 347.44 it/sec, feas=True, obj=0.0568]
INFO - 10:04:15: 66%|██████▋ | 166/250 [00:00<00:00, 347.52 it/sec, feas=True, obj=0.0568]
INFO - 10:04:16: 67%|██████▋ | 167/250 [00:00<00:00, 347.57 it/sec, feas=True, obj=0.0568]
INFO - 10:04:16: 67%|██████▋ | 168/250 [00:00<00:00, 347.61 it/sec, feas=True, obj=0.0568]
INFO - 10:04:16: 68%|██████▊ | 169/250 [00:00<00:00, 347.43 it/sec, feas=True, obj=0.0568]
INFO - 10:04:16: 68%|██████▊ | 170/250 [00:00<00:00, 347.49 it/sec, feas=True, obj=0.0568]
INFO - 10:04:16: 68%|██████▊ | 171/250 [00:00<00:00, 346.56 it/sec, feas=True, obj=0.0568]
INFO - 10:04:16: 69%|██████▉ | 172/250 [00:00<00:00, 346.48 it/sec, feas=True, obj=0.0567]
INFO - 10:04:16: 69%|██████▉ | 173/250 [00:00<00:00, 346.47 it/sec, feas=True, obj=0.0699]
INFO - 10:04:16: 70%|██████▉ | 174/250 [00:00<00:00, 346.51 it/sec, feas=True, obj=0.0567]
INFO - 10:04:16: 70%|███████ | 175/250 [00:00<00:00, 346.56 it/sec, feas=True, obj=0.0602]
INFO - 10:04:16: 70%|███████ | 176/250 [00:00<00:00, 346.53 it/sec, feas=True, obj=0.0567]
INFO - 10:04:16: 71%|███████ | 177/250 [00:00<00:00, 346.14 it/sec, feas=True, obj=0.0572]
INFO - 10:04:16: 71%|███████ | 178/250 [00:00<00:00, 346.21 it/sec, feas=True, obj=0.0567]
INFO - 10:04:16: 72%|███████▏ | 179/250 [00:00<00:00, 346.29 it/sec, feas=True, obj=0.0567]
INFO - 10:04:16: 72%|███████▏ | 180/250 [00:00<00:00, 346.26 it/sec, feas=True, obj=0.0567]
INFO - 10:04:16: 72%|███████▏ | 181/250 [00:00<00:00, 346.27 it/sec, feas=True, obj=0.0592]
INFO - 10:04:16: 73%|███████▎ | 182/250 [00:00<00:00, 346.33 it/sec, feas=True, obj=0.0566]
INFO - 10:04:16: 73%|███████▎ | 183/250 [00:00<00:00, 346.47 it/sec, feas=True, obj=0.0566]
INFO - 10:04:16: 74%|███████▎ | 184/250 [00:00<00:00, 346.44 it/sec, feas=True, obj=0.0566]
INFO - 10:04:16: 74%|███████▍ | 185/250 [00:00<00:00, 346.41 it/sec, feas=True, obj=0.0566]
INFO - 10:04:16: 74%|███████▍ | 186/250 [00:00<00:00, 346.43 it/sec, feas=True, obj=0.0566]
INFO - 10:04:16: 75%|███████▍ | 187/250 [00:00<00:00, 346.47 it/sec, feas=True, obj=0.0566]
INFO - 10:04:16: 75%|███████▌ | 188/250 [00:00<00:00, 346.56 it/sec, feas=True, obj=0.0568]
INFO - 10:04:16: 76%|███████▌ | 189/250 [00:00<00:00, 346.65 it/sec, feas=True, obj=0.0566]
INFO - 10:04:16: 76%|███████▌ | 190/250 [00:00<00:00, 346.62 it/sec, feas=True, obj=0.0565]
INFO - 10:04:16: 76%|███████▋ | 191/250 [00:00<00:00, 346.62 it/sec, feas=True, obj=0.0565]
INFO - 10:04:16: 77%|███████▋ | 192/250 [00:00<00:00, 346.65 it/sec, feas=True, obj=0.0564]
INFO - 10:04:16: 77%|███████▋ | 193/250 [00:00<00:00, 346.71 it/sec, feas=True, obj=0.0614]
INFO - 10:04:16: 78%|███████▊ | 194/250 [00:00<00:00, 346.79 it/sec, feas=True, obj=0.0564]
INFO - 10:04:16: 78%|███████▊ | 195/250 [00:00<00:00, 346.89 it/sec, feas=True, obj=0.0587]
INFO - 10:04:16: 78%|███████▊ | 196/250 [00:00<00:00, 346.94 it/sec, feas=True, obj=0.0563]
INFO - 10:04:16: 79%|███████▉ | 197/250 [00:00<00:00, 346.94 it/sec, feas=True, obj=0.446]
INFO - 10:04:16: 79%|███████▉ | 198/250 [00:00<00:00, 346.94 it/sec, feas=True, obj=0.0575]
INFO - 10:04:16: 80%|███████▉ | 199/250 [00:00<00:00, 346.92 it/sec, feas=True, obj=0.0563]
INFO - 10:04:16: 80%|████████ | 200/250 [00:00<00:00, 345.82 it/sec, feas=True, obj=0.307]
INFO - 10:04:16: 80%|████████ | 201/250 [00:00<00:00, 345.88 it/sec, feas=True, obj=0.0563]
INFO - 10:04:16: 81%|████████ | 202/250 [00:00<00:00, 345.93 it/sec, feas=True, obj=0.0562]
INFO - 10:04:16: 81%|████████ | 203/250 [00:00<00:00, 345.98 it/sec, feas=True, obj=0.0562]
INFO - 10:04:16: 82%|████████▏ | 204/250 [00:00<00:00, 345.87 it/sec, feas=True, obj=0.0594]
INFO - 10:04:16: 82%|████████▏ | 205/250 [00:00<00:00, 345.93 it/sec, feas=True, obj=0.0562]
INFO - 10:04:16: 82%|████████▏ | 206/250 [00:00<00:00, 346.01 it/sec, feas=True, obj=0.0561]
INFO - 10:04:16: 83%|████████▎ | 207/250 [00:00<00:00, 346.08 it/sec, feas=True, obj=0.0561]
INFO - 10:04:16: 83%|████████▎ | 208/250 [00:00<00:00, 346.17 it/sec, feas=True, obj=0.0562]
INFO - 10:04:16: 84%|████████▎ | 209/250 [00:00<00:00, 346.18 it/sec, feas=True, obj=0.0561]
INFO - 10:04:16: 84%|████████▍ | 210/250 [00:00<00:00, 346.27 it/sec, feas=True, obj=0.0561]
INFO - 10:04:16: 84%|████████▍ | 211/250 [00:00<00:00, 346.35 it/sec, feas=True, obj=0.056]
INFO - 10:04:16: 85%|████████▍ | 212/250 [00:00<00:00, 346.38 it/sec, feas=True, obj=0.056]
INFO - 10:04:16: 85%|████████▌ | 213/250 [00:00<00:00, 346.45 it/sec, feas=True, obj=0.056]
INFO - 10:04:16: 86%|████████▌ | 214/250 [00:00<00:00, 346.53 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 86%|████████▌ | 215/250 [00:00<00:00, 346.63 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 86%|████████▋ | 216/250 [00:00<00:00, 346.70 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 87%|████████▋ | 217/250 [00:00<00:00, 346.77 it/sec, feas=True, obj=0.0568]
INFO - 10:04:16: 87%|████████▋ | 218/250 [00:00<00:00, 346.85 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 88%|████████▊ | 219/250 [00:00<00:00, 346.91 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 88%|████████▊ | 220/250 [00:00<00:00, 346.93 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 88%|████████▊ | 221/250 [00:00<00:00, 347.01 it/sec, feas=True, obj=0.0587]
INFO - 10:04:16: 89%|████████▉ | 222/250 [00:00<00:00, 347.08 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 89%|████████▉ | 223/250 [00:00<00:00, 347.14 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 90%|████████▉ | 224/250 [00:00<00:00, 347.22 it/sec, feas=True, obj=0.0585]
INFO - 10:04:16: 90%|█████████ | 225/250 [00:00<00:00, 347.28 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 90%|█████████ | 226/250 [00:00<00:00, 347.31 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 91%|█████████ | 227/250 [00:00<00:00, 347.35 it/sec, feas=True, obj=0.0583]
INFO - 10:04:16: 91%|█████████ | 228/250 [00:00<00:00, 346.32 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 92%|█████████▏| 229/250 [00:00<00:00, 346.29 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 92%|█████████▏| 230/250 [00:00<00:00, 346.34 it/sec, feas=True, obj=0.0579]
INFO - 10:04:16: 92%|█████████▏| 231/250 [00:00<00:00, 346.37 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 93%|█████████▎| 232/250 [00:00<00:00, 346.39 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 93%|█████████▎| 233/250 [00:00<00:00, 346.41 it/sec, feas=True, obj=0.0564]
INFO - 10:04:16: 94%|█████████▎| 234/250 [00:00<00:00, 346.43 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 94%|█████████▍| 235/250 [00:00<00:00, 346.34 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 94%|█████████▍| 236/250 [00:00<00:00, 346.42 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 95%|█████████▍| 237/250 [00:00<00:00, 346.46 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 95%|█████████▌| 238/250 [00:00<00:00, 346.46 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 96%|█████████▌| 239/250 [00:00<00:00, 346.44 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 96%|█████████▌| 240/250 [00:00<00:00, 346.46 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 96%|█████████▋| 241/250 [00:00<00:00, 346.49 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 97%|█████████▋| 242/250 [00:00<00:00, 346.55 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 97%|█████████▋| 243/250 [00:00<00:00, 345.47 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 98%|█████████▊| 244/250 [00:00<00:00, 345.52 it/sec, feas=True, obj=0.0598]
INFO - 10:04:16: 98%|█████████▊| 245/250 [00:00<00:00, 345.55 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 98%|█████████▊| 246/250 [00:00<00:00, 345.58 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 99%|█████████▉| 247/250 [00:00<00:00, 345.64 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 99%|█████████▉| 248/250 [00:00<00:00, 345.72 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 100%|█████████▉| 249/250 [00:00<00:00, 345.78 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 100%|██████████| 250/250 [00:00<00:00, 345.83 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: Optimization result:
INFO - 10:04:16: Optimizer info:
INFO - 10:04:16: Status: None
INFO - 10:04:16: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 10:04:16: Solution:
INFO - 10:04:16: Objective: 0.05575705556262178
INFO - 10:04:16: Design space:
INFO - 10:04:16: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:16: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:16: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:16: | left_asymptote | 0 | 0.002234519626455635 | 0.004918571102090962 | float |
INFO - 10:04:16: | capacity | 0.002245594325533182 | 0.003935124343390151 | 0.04918571102090963 | float |
INFO - 10:04:16: | growth_rate | 0.0001084690661636759 | 0.0003146696282278903 | 0.0009762215954730827 | float |
INFO - 10:04:16: | x_lag | 0 | 0 | 11330.45367049352 | float |
INFO - 10:04:16: | logistic_nu | 0.1 | 0.1579421660224259 | 10 | float |
INFO - 10:04:16: | asymptote_coeff | 0.1 | 0.9179588125343207 | 10 | float |
INFO - 10:04:16: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:16: Optimization problem:
INFO - 10:04:16: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:16: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:16: over the design space:
INFO - 10:04:16: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:16: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:16: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:16: | left_asymptote | 0 | 0.0002025016998398018 | 0.004918571102090962 | float |
INFO - 10:04:16: | capacity | 0.002245594325533182 | 0.0139236949132135 | 0.04918571102090963 | float |
INFO - 10:04:16: | growth_rate | 0.0001084690661636759 | 0.0006142904430527269 | 0.0009762215954730827 | float |
INFO - 10:04:16: | x_lag | 0 | 7045.883632583374 | 11330.45367049352 | float |
INFO - 10:04:16: | logistic_nu | 0.1 | 5.62268233127262 | 10 | float |
INFO - 10:04:16: | asymptote_coeff | 0.1 | 8.355177201624285 | 10 | float |
INFO - 10:04:16: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:16: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:16: 1%| | 2/250 [00:00<00:00, 381.13 it/sec, feas=True, obj=1]
INFO - 10:04:16: 1%| | 3/250 [00:00<00:00, 395.70 it/sec, feas=True, obj=0.906]
INFO - 10:04:16: 2%|▏ | 4/250 [00:00<00:00, 387.89 it/sec, feas=True, obj=0.544]
INFO - 10:04:16: 2%|▏ | 5/250 [00:00<00:00, 382.79 it/sec, feas=True, obj=0.557]
INFO - 10:04:16: 2%|▏ | 6/250 [00:00<00:00, 379.85 it/sec, feas=True, obj=0.25]
INFO - 10:04:16: 3%|▎ | 7/250 [00:00<00:00, 378.56 it/sec, feas=True, obj=0.25]
INFO - 10:04:16: 3%|▎ | 8/250 [00:00<00:00, 376.65 it/sec, feas=True, obj=0.25]
INFO - 10:04:16: 4%|▎ | 9/250 [00:00<00:00, 373.88 it/sec, feas=True, obj=0.25]
INFO - 10:04:16: Optimization result:
INFO - 10:04:16: Optimizer info:
INFO - 10:04:16: Status: 0
INFO - 10:04:16: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:16: Solution:
INFO - 10:04:16: Objective: 0.24999734447723032
INFO - 10:04:16: Design space:
INFO - 10:04:16: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:16: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:16: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:16: | left_asymptote | 0 | 0.003248248690999708 | 0.004918571102090962 | float |
INFO - 10:04:16: | capacity | 0.002245594325533182 | 0.002245594325773605 | 0.04918571102090963 | float |
INFO - 10:04:16: | growth_rate | 0.0001084690661636759 | 0.0009762215954730827 | 0.0009762215954730827 | float |
INFO - 10:04:16: | x_lag | 0 | 11330.45367049352 | 11330.45367049352 | float |
INFO - 10:04:16: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:16: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:16: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:16: Optimization problem:
INFO - 10:04:16: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:16: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:16: over the design space:
INFO - 10:04:16: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:16: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:16: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:16: | left_asymptote | 0 | 0.004386375548573308 | 0.004918571102090962 | float |
INFO - 10:04:16: | capacity | 0.002245594325533182 | 0.03043956407056372 | 0.04918571102090963 | float |
INFO - 10:04:16: | growth_rate | 0.0001084690661636759 | 0.000828690242615179 | 0.0009762215954730827 | float |
INFO - 10:04:16: | x_lag | 0 | 6138.560576830228 | 11330.45367049352 | float |
INFO - 10:04:16: | logistic_nu | 0.1 | 0.8873151181548338 | 10 | float |
INFO - 10:04:16: | asymptote_coeff | 0.1 | 3.019796092071068 | 10 | float |
INFO - 10:04:16: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:16: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:16: 1%| | 2/250 [00:00<00:00, 389.53 it/sec, feas=True, obj=1]
INFO - 10:04:16: 1%| | 3/250 [00:00<00:00, 401.82 it/sec, feas=True, obj=0.652]
INFO - 10:04:16: 2%|▏ | 4/250 [00:00<00:00, 391.50 it/sec, feas=True, obj=0.557]
INFO - 10:04:16: 2%|▏ | 5/250 [00:00<00:00, 385.88 it/sec, feas=True, obj=0.254]
INFO - 10:04:16: 2%|▏ | 6/250 [00:00<00:00, 383.72 it/sec, feas=True, obj=0.294]
INFO - 10:04:16: 3%|▎ | 7/250 [00:00<00:00, 381.00 it/sec, feas=True, obj=0.25]
INFO - 10:04:16: 3%|▎ | 8/250 [00:00<00:00, 378.72 it/sec, feas=True, obj=0.25]
INFO - 10:04:16: 4%|▎ | 9/250 [00:00<00:00, 349.08 it/sec, feas=True, obj=0.25]
INFO - 10:04:16: 4%|▍ | 10/250 [00:00<00:00, 349.00 it/sec, feas=True, obj=0.25]
INFO - 10:04:16: 4%|▍ | 11/250 [00:00<00:00, 350.16 it/sec, feas=True, obj=0.25]
INFO - 10:04:16: 5%|▍ | 12/250 [00:00<00:00, 351.14 it/sec, feas=True, obj=0.25]
INFO - 10:04:16: 5%|▌ | 13/250 [00:00<00:00, 352.16 it/sec, feas=True, obj=0.25]
INFO - 10:04:16: 6%|▌ | 14/250 [00:00<00:00, 353.54 it/sec, feas=True, obj=0.249]
INFO - 10:04:16: 6%|▌ | 15/250 [00:00<00:00, 354.32 it/sec, feas=True, obj=0.167]
INFO - 10:04:16: 6%|▋ | 16/250 [00:00<00:00, 354.84 it/sec, feas=True, obj=0.683]
INFO - 10:04:16: 7%|▋ | 17/250 [00:00<00:00, 355.32 it/sec, feas=True, obj=0.167]
INFO - 10:04:16: 7%|▋ | 18/250 [00:00<00:00, 356.17 it/sec, feas=True, obj=0.25]
INFO - 10:04:16: 8%|▊ | 19/250 [00:00<00:00, 356.75 it/sec, feas=True, obj=0.167]
INFO - 10:04:16: 8%|▊ | 20/250 [00:00<00:00, 357.04 it/sec, feas=True, obj=0.167]
INFO - 10:04:16: 8%|▊ | 21/250 [00:00<00:00, 357.52 it/sec, feas=True, obj=0.139]
INFO - 10:04:16: 9%|▉ | 22/250 [00:00<00:00, 358.00 it/sec, feas=True, obj=0.0959]
INFO - 10:04:16: 9%|▉ | 23/250 [00:00<00:00, 357.89 it/sec, feas=True, obj=0.0836]
INFO - 10:04:16: 10%|▉ | 24/250 [00:00<00:00, 357.85 it/sec, feas=True, obj=0.0759]
INFO - 10:04:16: 10%|█ | 25/250 [00:00<00:00, 358.11 it/sec, feas=True, obj=0.0754]
INFO - 10:04:16: 10%|█ | 26/250 [00:00<00:00, 358.53 it/sec, feas=True, obj=0.075]
INFO - 10:04:16: 11%|█ | 27/250 [00:00<00:00, 358.66 it/sec, feas=True, obj=0.0725]
INFO - 10:04:16: 11%|█ | 28/250 [00:00<00:00, 358.39 it/sec, feas=True, obj=0.0686]
INFO - 10:04:16: 12%|█▏ | 29/250 [00:00<00:00, 358.37 it/sec, feas=True, obj=0.0675]
INFO - 10:04:16: 12%|█▏ | 30/250 [00:00<00:00, 333.93 it/sec, feas=True, obj=0.067]
INFO - 10:04:16: 12%|█▏ | 31/250 [00:00<00:00, 334.34 it/sec, feas=True, obj=0.0666]
INFO - 10:04:16: 13%|█▎ | 32/250 [00:00<00:00, 335.11 it/sec, feas=True, obj=0.0664]
INFO - 10:04:16: 13%|█▎ | 33/250 [00:00<00:00, 335.49 it/sec, feas=True, obj=0.0664]
INFO - 10:04:16: 14%|█▎ | 34/250 [00:00<00:00, 336.15 it/sec, feas=True, obj=0.0664]
INFO - 10:04:16: 14%|█▍ | 35/250 [00:00<00:00, 336.64 it/sec, feas=True, obj=0.0663]
INFO - 10:04:16: 14%|█▍ | 36/250 [00:00<00:00, 337.05 it/sec, feas=True, obj=0.0659]
INFO - 10:04:16: 15%|█▍ | 37/250 [00:00<00:00, 337.67 it/sec, feas=True, obj=0.0654]
INFO - 10:04:16: 15%|█▌ | 38/250 [00:00<00:00, 338.10 it/sec, feas=True, obj=0.0647]
INFO - 10:04:16: 16%|█▌ | 39/250 [00:00<00:00, 338.55 it/sec, feas=True, obj=0.0627]
INFO - 10:04:16: 16%|█▌ | 40/250 [00:00<00:00, 339.03 it/sec, feas=True, obj=0.0617]
INFO - 10:04:16: 16%|█▋ | 41/250 [00:00<00:00, 339.57 it/sec, feas=True, obj=0.0609]
INFO - 10:04:16: 17%|█▋ | 42/250 [00:00<00:00, 340.25 it/sec, feas=True, obj=0.0642]
INFO - 10:04:16: 17%|█▋ | 43/250 [00:00<00:00, 340.66 it/sec, feas=True, obj=0.0601]
INFO - 10:04:16: 18%|█▊ | 44/250 [00:00<00:00, 341.10 it/sec, feas=True, obj=0.0596]
INFO - 10:04:16: 18%|█▊ | 45/250 [00:00<00:00, 341.51 it/sec, feas=True, obj=0.0592]
INFO - 10:04:16: 18%|█▊ | 46/250 [00:00<00:00, 341.98 it/sec, feas=True, obj=0.059]
INFO - 10:04:16: 19%|█▉ | 47/250 [00:00<00:00, 342.26 it/sec, feas=True, obj=0.059]
INFO - 10:04:16: 19%|█▉ | 48/250 [00:00<00:00, 342.57 it/sec, feas=True, obj=0.059]
INFO - 10:04:16: 20%|█▉ | 49/250 [00:00<00:00, 342.94 it/sec, feas=True, obj=0.059]
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INFO - 10:04:16: 43%|████▎ | 107/250 [00:00<00:00, 348.75 it/sec, feas=True, obj=0.0564]
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INFO - 10:04:16: 68%|██████▊ | 169/250 [00:00<00:00, 349.05 it/sec, feas=True, obj=0.0561]
INFO - 10:04:16: 68%|██████▊ | 170/250 [00:00<00:00, 349.10 it/sec, feas=True, obj=0.0564]
INFO - 10:04:16: 68%|██████▊ | 171/250 [00:00<00:00, 349.11 it/sec, feas=True, obj=0.0561]
INFO - 10:04:16: 69%|██████▉ | 172/250 [00:00<00:00, 349.04 it/sec, feas=True, obj=0.0562]
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INFO - 10:04:16: 70%|██████▉ | 174/250 [00:00<00:00, 349.15 it/sec, feas=True, obj=0.0569]
INFO - 10:04:16: 70%|███████ | 175/250 [00:00<00:00, 349.17 it/sec, feas=True, obj=0.0561]
INFO - 10:04:16: 70%|███████ | 176/250 [00:00<00:00, 349.19 it/sec, feas=True, obj=0.0561]
INFO - 10:04:16: 71%|███████ | 177/250 [00:00<00:00, 349.24 it/sec, feas=True, obj=0.0786]
INFO - 10:04:16: 71%|███████ | 178/250 [00:00<00:00, 349.31 it/sec, feas=True, obj=0.056]
INFO - 10:04:16: 72%|███████▏ | 179/250 [00:00<00:00, 349.37 it/sec, feas=True, obj=0.0588]
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INFO - 10:04:16: 72%|███████▏ | 181/250 [00:00<00:00, 349.40 it/sec, feas=True, obj=0.056]
INFO - 10:04:16: 73%|███████▎ | 182/250 [00:00<00:00, 349.47 it/sec, feas=True, obj=0.156]
INFO - 10:04:16: 73%|███████▎ | 183/250 [00:00<00:00, 349.55 it/sec, feas=True, obj=0.0562]
INFO - 10:04:16: 74%|███████▎ | 184/250 [00:00<00:00, 349.57 it/sec, feas=True, obj=0.056]
INFO - 10:04:16: 74%|███████▍ | 185/250 [00:00<00:00, 349.60 it/sec, feas=True, obj=0.169]
INFO - 10:04:16: 74%|███████▍ | 186/250 [00:00<00:00, 349.63 it/sec, feas=True, obj=0.0561]
INFO - 10:04:16: 75%|███████▍ | 187/250 [00:00<00:00, 349.67 it/sec, feas=True, obj=0.056]
INFO - 10:04:16: 75%|███████▌ | 188/250 [00:00<00:00, 349.76 it/sec, feas=True, obj=0.0758]
INFO - 10:04:16: 76%|███████▌ | 189/250 [00:00<00:00, 349.84 it/sec, feas=True, obj=0.0562]
INFO - 10:04:16: 76%|███████▌ | 190/250 [00:00<00:00, 349.77 it/sec, feas=True, obj=0.056]
INFO - 10:04:16: 76%|███████▋ | 191/250 [00:00<00:00, 349.80 it/sec, feas=True, obj=0.137]
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INFO - 10:04:16: 78%|███████▊ | 194/250 [00:00<00:00, 349.70 it/sec, feas=True, obj=0.069]
INFO - 10:04:16: 78%|███████▊ | 195/250 [00:00<00:00, 349.73 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 78%|███████▊ | 196/250 [00:00<00:00, 349.70 it/sec, feas=True, obj=5.85e+10]
INFO - 10:04:16: 79%|███████▉ | 197/250 [00:00<00:00, 349.76 it/sec, feas=True, obj=0.759]
INFO - 10:04:16: 79%|███████▉ | 198/250 [00:00<00:00, 349.80 it/sec, feas=True, obj=0.0559]
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INFO - 10:04:16: 80%|████████ | 200/250 [00:00<00:00, 349.73 it/sec, feas=True, obj=2.05]
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INFO - 10:04:16: 82%|████████▏ | 205/250 [00:00<00:00, 349.83 it/sec, feas=True, obj=2.45e+10]
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INFO - 10:04:16: 84%|████████▎ | 209/250 [00:00<00:00, 349.67 it/sec, feas=True, obj=1.21]
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INFO - 10:04:16: 85%|████████▌ | 213/250 [00:00<00:00, 349.61 it/sec, feas=True, obj=0.744]
INFO - 10:04:16: 86%|████████▌ | 214/250 [00:00<00:00, 349.43 it/sec, feas=True, obj=0.0567]
INFO - 10:04:16: 86%|████████▌ | 215/250 [00:00<00:00, 349.44 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 86%|████████▋ | 216/250 [00:00<00:00, 349.46 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 87%|████████▋ | 217/250 [00:00<00:00, 349.38 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 87%|████████▋ | 218/250 [00:00<00:00, 349.41 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 88%|████████▊ | 219/250 [00:00<00:00, 349.45 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 88%|████████▊ | 220/250 [00:00<00:00, 349.38 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 88%|████████▊ | 221/250 [00:00<00:00, 349.42 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 89%|████████▉ | 222/250 [00:00<00:00, 349.42 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 89%|████████▉ | 223/250 [00:00<00:00, 349.46 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 90%|████████▉ | 224/250 [00:00<00:00, 349.37 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 90%|█████████ | 225/250 [00:00<00:00, 349.38 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 90%|█████████ | 226/250 [00:00<00:00, 349.42 it/sec, feas=True, obj=0.0562]
INFO - 10:04:16: 91%|█████████ | 227/250 [00:00<00:00, 349.33 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 91%|█████████ | 228/250 [00:00<00:00, 349.39 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 92%|█████████▏| 229/250 [00:00<00:00, 349.41 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 92%|█████████▏| 230/250 [00:00<00:00, 349.42 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 92%|█████████▏| 231/250 [00:00<00:00, 349.45 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 93%|█████████▎| 232/250 [00:00<00:00, 349.48 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 93%|█████████▎| 233/250 [00:00<00:00, 349.39 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 94%|█████████▎| 234/250 [00:00<00:00, 349.31 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 94%|█████████▍| 235/250 [00:00<00:00, 349.33 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 94%|█████████▍| 236/250 [00:00<00:00, 349.28 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 95%|█████████▍| 237/250 [00:00<00:00, 349.30 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 95%|█████████▌| 238/250 [00:00<00:00, 349.23 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 96%|█████████▌| 239/250 [00:00<00:00, 349.21 it/sec, feas=True, obj=0.0581]
INFO - 10:04:16: 96%|█████████▌| 240/250 [00:00<00:00, 349.17 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 96%|█████████▋| 241/250 [00:00<00:00, 349.13 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 97%|█████████▋| 242/250 [00:00<00:00, 349.14 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 97%|█████████▋| 243/250 [00:00<00:00, 349.04 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 98%|█████████▊| 244/250 [00:00<00:00, 348.98 it/sec, feas=True, obj=0.0559]
INFO - 10:04:16: 98%|█████████▊| 245/250 [00:00<00:00, 349.00 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 98%|█████████▊| 246/250 [00:00<00:00, 348.94 it/sec, feas=True, obj=7.99e+9]
INFO - 10:04:16: 99%|█████████▉| 247/250 [00:00<00:00, 348.98 it/sec, feas=True, obj=2.58]
INFO - 10:04:16: 99%|█████████▉| 248/250 [00:00<00:00, 349.02 it/sec, feas=True, obj=0.0769]
INFO - 10:04:16: 100%|█████████▉| 249/250 [00:00<00:00, 348.94 it/sec, feas=True, obj=0.0558]
INFO - 10:04:16: 100%|██████████| 250/250 [00:00<00:00, 348.92 it/sec, feas=True, obj=4.99e+8]
INFO - 10:04:16: Optimization result:
INFO - 10:04:16: Optimizer info:
INFO - 10:04:16: Status: None
INFO - 10:04:16: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 10:04:16: Solution:
INFO - 10:04:16: Objective: 0.05582028571759739
INFO - 10:04:16: Design space:
INFO - 10:04:16: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:16: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:16: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:16: | left_asymptote | 0 | 0.00223881707605149 | 0.004918571102090962 | float |
INFO - 10:04:16: | capacity | 0.002245594325533182 | 0.04918571102090963 | 0.04918571102090963 | float |
INFO - 10:04:16: | growth_rate | 0.0001084690661636759 | 0.000320952472886176 | 0.0009762215954730827 | float |
INFO - 10:04:16: | x_lag | 0 | 1999.27627418226 | 11330.45367049352 | float |
INFO - 10:04:16: | logistic_nu | 0.1 | 0.1671813332872129 | 10 | float |
INFO - 10:04:16: | asymptote_coeff | 0.1 | 1.593393043027785 | 10 | float |
INFO - 10:04:16: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:16: Optimization problem:
INFO - 10:04:16: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:16: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:16: over the design space:
INFO - 10:04:16: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:16: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:16: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:16: | left_asymptote | 0 | 0.002651750253704508 | 0.004918571102090962 | float |
INFO - 10:04:16: | capacity | 0.002245594325533182 | 0.0414918960026071 | 0.04918571102090963 | float |
INFO - 10:04:16: | growth_rate | 0.0001084690661636759 | 0.0007230286764952948 | 0.0009762215954730827 | float |
INFO - 10:04:16: | x_lag | 0 | 6512.184729891157 | 11330.45367049352 | float |
INFO - 10:04:16: | logistic_nu | 0.1 | 9.519289087607232 | 10 | float |
INFO - 10:04:16: | asymptote_coeff | 0.1 | 9.085777545900603 | 10 | float |
INFO - 10:04:16: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:16: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:17: 1%| | 2/249 [00:00<00:00, 381.61 it/sec, feas=True, obj=0.756]
INFO - 10:04:17: 1%| | 3/249 [00:00<00:00, 387.48 it/sec, feas=True, obj=0.542]
INFO - 10:04:17: 2%|▏ | 4/249 [00:00<00:00, 321.03 it/sec, feas=True, obj=0.491]
INFO - 10:04:17: 2%|▏ | 5/249 [00:00<00:00, 322.58 it/sec, feas=True, obj=0.285]
INFO - 10:04:17: 2%|▏ | 6/249 [00:00<00:00, 326.35 it/sec, feas=True, obj=0.165]
INFO - 10:04:17: 3%|▎ | 7/249 [00:00<00:00, 329.19 it/sec, feas=True, obj=0.669]
INFO - 10:04:17: 3%|▎ | 8/249 [00:00<00:00, 330.95 it/sec, feas=True, obj=0.0928]
INFO - 10:04:17: 4%|▎ | 9/249 [00:00<00:00, 332.08 it/sec, feas=True, obj=0.672]
INFO - 10:04:17: 4%|▍ | 10/249 [00:00<00:00, 332.78 it/sec, feas=True, obj=0.0829]
INFO - 10:04:17: 4%|▍ | 11/249 [00:00<00:00, 332.15 it/sec, feas=True, obj=0.296]
INFO - 10:04:17: 5%|▍ | 12/249 [00:00<00:00, 333.01 it/sec, feas=True, obj=0.075]
INFO - 10:04:17: 5%|▌ | 13/249 [00:00<00:00, 333.58 it/sec, feas=True, obj=0.0693]
INFO - 10:04:17: 6%|▌ | 14/249 [00:00<00:00, 332.78 it/sec, feas=True, obj=0.0685]
INFO - 10:04:17: 6%|▌ | 15/249 [00:00<00:00, 333.03 it/sec, feas=True, obj=0.0668]
INFO - 10:04:17: 6%|▋ | 16/249 [00:00<00:00, 333.26 it/sec, feas=True, obj=0.0647]
INFO - 10:04:17: 7%|▋ | 17/249 [00:00<00:00, 332.63 it/sec, feas=True, obj=0.0644]
INFO - 10:04:17: 7%|▋ | 18/249 [00:00<00:00, 332.86 it/sec, feas=True, obj=0.0644]
INFO - 10:04:17: 8%|▊ | 19/249 [00:00<00:00, 333.36 it/sec, feas=True, obj=0.0644]
INFO - 10:04:17: 8%|▊ | 20/249 [00:00<00:00, 333.74 it/sec, feas=True, obj=0.0639]
INFO - 10:04:17: 8%|▊ | 21/249 [00:00<00:00, 334.06 it/sec, feas=True, obj=0.0629]
INFO - 10:04:17: 9%|▉ | 22/249 [00:00<00:00, 333.47 it/sec, feas=True, obj=0.173]
INFO - 10:04:17: 9%|▉ | 23/249 [00:00<00:00, 333.70 it/sec, feas=True, obj=0.0629]
INFO - 10:04:17: 10%|▉ | 24/249 [00:00<00:00, 333.07 it/sec, feas=True, obj=0.0623]
INFO - 10:04:17: 10%|█ | 25/249 [00:00<00:00, 332.39 it/sec, feas=True, obj=0.062]
INFO - 10:04:17: 10%|█ | 26/249 [00:00<00:00, 332.63 it/sec, feas=True, obj=0.0612]
INFO - 10:04:17: 11%|█ | 27/249 [00:00<00:00, 332.11 it/sec, feas=True, obj=0.0611]
INFO - 10:04:17: 11%|█ | 28/249 [00:00<00:00, 332.33 it/sec, feas=True, obj=0.0611]
INFO - 10:04:17: 12%|█▏ | 29/249 [00:00<00:00, 332.55 it/sec, feas=True, obj=0.0611]
INFO - 10:04:17: 12%|█▏ | 30/249 [00:00<00:00, 331.98 it/sec, feas=True, obj=0.0611]
INFO - 10:04:17: 12%|█▏ | 31/249 [00:00<00:00, 332.25 it/sec, feas=True, obj=0.0611]
INFO - 10:04:17: 13%|█▎ | 32/249 [00:00<00:00, 331.76 it/sec, feas=True, obj=0.061]
INFO - 10:04:17: 13%|█▎ | 33/249 [00:00<00:00, 331.79 it/sec, feas=True, obj=0.0609]
INFO - 10:04:17: 14%|█▎ | 34/249 [00:00<00:00, 332.11 it/sec, feas=True, obj=0.194]
INFO - 10:04:17: 14%|█▍ | 35/249 [00:00<00:00, 331.67 it/sec, feas=True, obj=0.0609]
INFO - 10:04:17: 14%|█▍ | 36/249 [00:00<00:00, 331.85 it/sec, feas=True, obj=0.0607]
INFO - 10:04:17: 15%|█▍ | 37/249 [00:00<00:00, 332.18 it/sec, feas=True, obj=0.12]
INFO - 10:04:17: 15%|█▌ | 38/249 [00:00<00:00, 331.79 it/sec, feas=True, obj=0.0606]
INFO - 10:04:17: 16%|█▌ | 39/249 [00:00<00:00, 331.98 it/sec, feas=True, obj=0.0603]
INFO - 10:04:17: 16%|█▌ | 40/249 [00:00<00:00, 332.29 it/sec, feas=True, obj=0.0611]
INFO - 10:04:17: 16%|█▋ | 41/249 [00:00<00:00, 332.46 it/sec, feas=True, obj=0.0602]
INFO - 10:04:17: 17%|█▋ | 42/249 [00:00<00:00, 332.61 it/sec, feas=True, obj=0.0601]
INFO - 10:04:17: 17%|█▋ | 43/249 [00:00<00:00, 332.81 it/sec, feas=True, obj=0.0599]
INFO - 10:04:17: 18%|█▊ | 44/249 [00:00<00:00, 332.92 it/sec, feas=True, obj=0.0594]
INFO - 10:04:17: 18%|█▊ | 45/249 [00:00<00:00, 332.64 it/sec, feas=True, obj=0.584]
INFO - 10:04:17: 18%|█▊ | 46/249 [00:00<00:00, 332.85 it/sec, feas=True, obj=0.0595]
INFO - 10:04:17: 19%|█▉ | 47/249 [00:00<00:00, 332.83 it/sec, feas=True, obj=0.0588]
INFO - 10:04:17: 19%|█▉ | 48/249 [00:00<00:00, 332.40 it/sec, feas=True, obj=0.0587]
INFO - 10:04:17: 20%|█▉ | 49/249 [00:00<00:00, 332.51 it/sec, feas=True, obj=0.0587]
INFO - 10:04:17: 20%|██ | 50/249 [00:00<00:00, 332.74 it/sec, feas=True, obj=0.699]
INFO - 10:04:17: 20%|██ | 51/249 [00:00<00:00, 332.78 it/sec, feas=True, obj=0.0579]
INFO - 10:04:17: 21%|██ | 52/249 [00:00<00:00, 332.92 it/sec, feas=True, obj=1.24]
INFO - 10:04:17: 21%|██▏ | 53/249 [00:00<00:00, 331.94 it/sec, feas=True, obj=0.428]
INFO - 10:04:17: 22%|██▏ | 54/249 [00:00<00:00, 332.46 it/sec, feas=True, obj=0.0593]
INFO - 10:04:17: 22%|██▏ | 55/249 [00:00<00:00, 332.33 it/sec, feas=True, obj=0.0576]
INFO - 10:04:17: 22%|██▏ | 56/249 [00:00<00:00, 332.45 it/sec, feas=True, obj=0.409]
INFO - 10:04:17: 23%|██▎ | 57/249 [00:00<00:00, 332.60 it/sec, feas=True, obj=0.0576]
INFO - 10:04:17: 23%|██▎ | 58/249 [00:00<00:00, 332.64 it/sec, feas=True, obj=0.0576]
INFO - 10:04:17: 24%|██▎ | 59/249 [00:00<00:00, 332.72 it/sec, feas=True, obj=0.409]
INFO - 10:04:17: 24%|██▍ | 60/249 [00:00<00:00, 333.12 it/sec, feas=True, obj=0.0576]
INFO - 10:04:17: 24%|██▍ | 61/249 [00:00<00:00, 333.21 it/sec, feas=True, obj=0.0576]
INFO - 10:04:17: 25%|██▍ | 62/249 [00:00<00:00, 333.29 it/sec, feas=True, obj=0.0576]
INFO - 10:04:17: Optimization result:
INFO - 10:04:17: Optimizer info:
INFO - 10:04:17: Status: None
INFO - 10:04:17: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:17: Solution:
INFO - 10:04:17: Objective: 0.05763054062655772
INFO - 10:04:17: Design space:
INFO - 10:04:17: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:17: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:17: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:17: | left_asymptote | 0 | 0.001673950283824432 | 0.004918571102090962 | float |
INFO - 10:04:17: | capacity | 0.002245594325533182 | 0.01017310860788531 | 0.04918571102090963 | float |
INFO - 10:04:17: | growth_rate | 0.0001084690661636759 | 0.0004096780144953788 | 0.0009762215954730827 | float |
INFO - 10:04:17: | x_lag | 0 | 11330.45367049352 | 11330.45367049352 | float |
INFO - 10:04:17: | logistic_nu | 0.1 | 1.572845581275051 | 10 | float |
INFO - 10:04:17: | asymptote_coeff | 0.1 | 4.179261817365805 | 10 | float |
INFO - 10:04:17: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:17: Optimization result:
INFO - 10:04:17: Optimizer info:
INFO - 10:04:17: Status: None
INFO - 10:04:17: Message: None
INFO - 10:04:17: Solution:
INFO - 10:04:17: Objective: 0.05550577697199415
INFO - 10:04:17: Design space:
INFO - 10:04:17: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:17: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:17: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:17: | left_asymptote | 0 | 0.00219450780039151 | 0.004918571102090962 | float |
INFO - 10:04:17: | capacity | 0.002245594325533182 | 0.04918547911388099 | 0.04918571102090963 | float |
INFO - 10:04:17: | growth_rate | 0.0001084690661636759 | 0.000269926225107288 | 0.0009762215954730827 | float |
INFO - 10:04:17: | x_lag | 0 | 0 | 11330.45367049352 | float |
INFO - 10:04:17: | logistic_nu | 0.1 | 0.1267851925671297 | 10 | float |
INFO - 10:04:17: | asymptote_coeff | 0.1 | 1.40492956399514 | 10 | float |
INFO - 10:04:17: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:17: *** End MDOScenario execution ***
{'left_asymptote': array([0.00219451]), 'capacity': array([0.04918548]), 'growth_rate': array([0.00026993]), 'x_lag': array([0.]), 'logistic_nu': array([0.12678519]), 'asymptote_coeff': array([1.40492956]), 'x': array([ 456.82637523, 471.68674047, 495.9674069 , 523.40189931,
561.42440733, 599.15211801, 636.78995273, 663.87854949,
701.8529195 , 758.18066724, 812.22221174, 878.5926201 ,
993.0313294 , 1188.11849559, 1343.08497689, 1468.78135167,
1568.57393134, 1743.36662912, 2025.85326308, 2302.87779075,
2552.05848943, 2594.25543433, 2522.46911415, 2527.38428673,
2582.87404918, 2659.16990771, 3090.05171095, 3457.79436893,
3792.79322458, 3895.50064995, 4318.91253431, 4428.10783685,
4658.73086835, 4662.16625043, 4944.93799252, 5422.19801988,
5462.4945084 , 5364.55127824, 5276.6382201 , 5402.58193267,
5508.43301375, 5401.40256884, 5536.51492422, 6129.09855708,
6820.29545468, 7293.72387688, 7805.61187262, 8687.42984341,
9429.27480262, 8832.30414329, 9558.02173069, 10473.7448539 ,
10575.66012994, 10738.31740827, 10898.72081124, 10156.9534578 ,
10208.86990025, 10746.85626842, 11290.09997485, 11330.45367049,
10895.73523291, 12335.85920721])}
INFO - 10:04:18: *** Start MDOScenario execution ***
INFO - 10:04:18: MDOScenario
INFO - 10:04:18: Disciplines: JAXChain
INFO - 10:04:18: MDO formulation: DisciplinaryOpt
INFO - 10:04:18: Optimization problem:
INFO - 10:04:18: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:18: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:18: over the design space:
INFO - 10:04:18: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:18: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:18: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:18: | left_asymptote | 0 | 0.0197359106291871 | 0.03373617263374096 | float |
INFO - 10:04:18: | capacity | 0.0197359106291871 | 0.03373617263374096 | 0.3373617263374096 | float |
INFO - 10:04:18: | growth_rate | 0.001164389072031903 | 0.005821945360159515 | 0.01047950164828713 | float |
INFO - 10:04:18: | x_lag | 0 | 32560.19733143263 | 65120.39466286526 | float |
INFO - 10:04:18: | logistic_nu | 0.1 | 1 | 10 | float |
INFO - 10:04:18: | asymptote_coeff | 0.1 | 1 | 10 | float |
INFO - 10:04:18: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:18: Solving optimization problem with algorithm MultiStart:
INFO - 10:04:18: Optimization problem:
INFO - 10:04:18: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:18: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:18: over the design space:
INFO - 10:04:18: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:18: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:18: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:18: | left_asymptote | 0 | 0.01923512491355853 | 0.03373617263374096 | float |
INFO - 10:04:18: | capacity | 0.0197359106291871 | 0.1656266673625058 | 0.3373617263374096 | float |
INFO - 10:04:18: | growth_rate | 0.001164389072031903 | 0.001823296361210382 | 0.01047950164828713 | float |
INFO - 10:04:18: | x_lag | 0 | 58011.08063840737 | 65120.39466286526 | float |
INFO - 10:04:18: | logistic_nu | 0.1 | 7.368669008241702 | 10 | float |
INFO - 10:04:18: | asymptote_coeff | 0.1 | 7.989486619901931 | 10 | float |
INFO - 10:04:18: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:18: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:19: 1%| | 2/250 [00:00<00:47, 5.25 it/sec, feas=True, obj=0.309]
INFO - 10:04:19: Optimization result:
INFO - 10:04:19: Optimizer info:
INFO - 10:04:19: Status: None
INFO - 10:04:19: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:19: Solution:
INFO - 10:04:19: Objective: 0.2079430781962116
INFO - 10:04:19: Design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.0229747124120601 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.0197359106291871 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.009485825633913607 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 65120.39466286526 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 0.7552358180808473 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 9.764028981688988 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Optimization problem:
INFO - 10:04:19: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:19: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:19: over the design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.01170410854893752 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.0658265143700718 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.002679366412099109 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 42394.69511321363 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 0.5484496378270003 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 4.282038415160894 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:19: 1%| | 2/250 [00:00<00:00, 480.58 it/sec, feas=True, obj=2.77]
INFO - 10:04:19: 1%| | 3/250 [00:00<00:00, 490.77 it/sec, feas=True, obj=0.499]
INFO - 10:04:19: 2%|▏ | 4/250 [00:00<00:00, 475.13 it/sec, feas=True, obj=0.318]
INFO - 10:04:19: 2%|▏ | 5/250 [00:00<00:00, 465.12 it/sec, feas=True, obj=0.258]
INFO - 10:04:19: 2%|▏ | 6/250 [00:00<00:00, 453.16 it/sec, feas=True, obj=0.192]
INFO - 10:04:19: 3%|▎ | 7/250 [00:00<00:00, 411.93 it/sec, feas=True, obj=0.107]
INFO - 10:04:19: 3%|▎ | 8/250 [00:00<00:00, 404.16 it/sec, feas=True, obj=0.155]
INFO - 10:04:19: 4%|▎ | 9/250 [00:00<00:00, 398.50 it/sec, feas=True, obj=0.0913]
INFO - 10:04:19: 4%|▍ | 10/250 [00:00<00:00, 391.23 it/sec, feas=True, obj=0.0909]
INFO - 10:04:19: 4%|▍ | 11/250 [00:00<00:00, 386.85 it/sec, feas=True, obj=0.0877]
INFO - 10:04:19: 5%|▍ | 12/250 [00:00<00:00, 383.20 it/sec, feas=True, obj=0.0834]
INFO - 10:04:19: 5%|▌ | 13/250 [00:00<00:00, 379.58 it/sec, feas=True, obj=0.108]
INFO - 10:04:19: 6%|▌ | 14/250 [00:00<00:00, 377.72 it/sec, feas=True, obj=0.0762]
INFO - 10:04:19: 6%|▌ | 15/250 [00:00<00:00, 376.62 it/sec, feas=True, obj=0.0714]
INFO - 10:04:19: 6%|▋ | 16/250 [00:00<00:00, 376.03 it/sec, feas=True, obj=0.0944]
INFO - 10:04:19: 7%|▋ | 17/250 [00:00<00:00, 374.94 it/sec, feas=True, obj=0.0702]
INFO - 10:04:19: 7%|▋ | 18/250 [00:00<00:00, 361.30 it/sec, feas=True, obj=0.0701]
INFO - 10:04:19: 8%|▊ | 19/250 [00:00<00:00, 359.30 it/sec, feas=True, obj=0.0702]
INFO - 10:04:19: 8%|▊ | 20/250 [00:00<00:00, 358.47 it/sec, feas=True, obj=0.0701]
INFO - 10:04:19: 8%|▊ | 21/250 [00:00<00:00, 358.01 it/sec, feas=True, obj=0.0701]
INFO - 10:04:19: 9%|▉ | 22/250 [00:00<00:00, 356.90 it/sec, feas=True, obj=0.0701]
INFO - 10:04:19: 9%|▉ | 23/250 [00:00<00:00, 356.71 it/sec, feas=True, obj=0.0701]
INFO - 10:04:19: 10%|▉ | 24/250 [00:00<00:00, 356.40 it/sec, feas=True, obj=0.07]
INFO - 10:04:19: 10%|█ | 25/250 [00:00<00:00, 356.25 it/sec, feas=True, obj=0.0699]
INFO - 10:04:19: 10%|█ | 26/250 [00:00<00:00, 355.90 it/sec, feas=True, obj=0.0693]
INFO - 10:04:19: 11%|█ | 27/250 [00:00<00:00, 355.88 it/sec, feas=True, obj=0.0734]
INFO - 10:04:19: 11%|█ | 28/250 [00:00<00:00, 355.01 it/sec, feas=True, obj=0.068]
INFO - 10:04:19: 12%|█▏ | 29/250 [00:00<00:00, 354.57 it/sec, feas=True, obj=0.0678]
INFO - 10:04:19: 12%|█▏ | 30/250 [00:00<00:00, 354.79 it/sec, feas=True, obj=0.0798]
INFO - 10:04:19: 12%|█▏ | 31/250 [00:00<00:00, 354.69 it/sec, feas=True, obj=0.0678]
INFO - 10:04:19: 13%|█▎ | 32/250 [00:00<00:00, 354.56 it/sec, feas=True, obj=0.0667]
INFO - 10:04:19: 13%|█▎ | 33/250 [00:00<00:00, 354.57 it/sec, feas=True, obj=0.0928]
INFO - 10:04:19: 14%|█▎ | 34/250 [00:00<00:00, 354.50 it/sec, feas=True, obj=0.066]
INFO - 10:04:19: 14%|█▍ | 35/250 [00:00<00:00, 354.40 it/sec, feas=True, obj=0.0722]
INFO - 10:04:19: 14%|█▍ | 36/250 [00:00<00:00, 354.35 it/sec, feas=True, obj=0.0658]
INFO - 10:04:19: 15%|█▍ | 37/250 [00:00<00:00, 354.22 it/sec, feas=True, obj=0.0629]
INFO - 10:04:19: 15%|█▌ | 38/250 [00:00<00:00, 353.95 it/sec, feas=True, obj=0.0624]
INFO - 10:04:19: 16%|█▌ | 39/250 [00:00<00:00, 353.75 it/sec, feas=True, obj=0.0622]
INFO - 10:04:19: 16%|█▌ | 40/250 [00:00<00:00, 353.59 it/sec, feas=True, obj=0.0618]
INFO - 10:04:19: 16%|█▋ | 41/250 [00:00<00:00, 353.52 it/sec, feas=True, obj=0.0614]
INFO - 10:04:19: 17%|█▋ | 42/250 [00:00<00:00, 352.71 it/sec, feas=True, obj=0.0609]
INFO - 10:04:19: 17%|█▋ | 43/250 [00:00<00:00, 352.62 it/sec, feas=True, obj=0.0606]
INFO - 10:04:19: 18%|█▊ | 44/250 [00:00<00:00, 352.49 it/sec, feas=True, obj=0.0603]
INFO - 10:04:19: 18%|█▊ | 45/250 [00:00<00:00, 351.85 it/sec, feas=True, obj=0.06]
INFO - 10:04:19: 18%|█▊ | 46/250 [00:00<00:00, 351.72 it/sec, feas=True, obj=0.0598]
INFO - 10:04:19: 19%|█▉ | 47/250 [00:00<00:00, 351.66 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 19%|█▉ | 48/250 [00:00<00:00, 351.56 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 20%|█▉ | 49/250 [00:00<00:00, 351.47 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 20%|██ | 50/250 [00:00<00:00, 351.35 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 20%|██ | 51/250 [00:00<00:00, 351.26 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 21%|██ | 52/250 [00:00<00:00, 350.71 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 21%|██ | 53/250 [00:00<00:00, 350.62 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 22%|██▏ | 54/250 [00:00<00:00, 350.14 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 22%|██▏ | 55/250 [00:00<00:00, 350.09 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 22%|██▏ | 56/250 [00:00<00:00, 349.91 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: Optimization result:
INFO - 10:04:19: Optimizer info:
INFO - 10:04:19: Status: None
INFO - 10:04:19: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:19: Solution:
INFO - 10:04:19: Objective: 0.05965666163532221
INFO - 10:04:19: Design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.02168365629723225 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.03189616259424762 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.001164389072031903 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 32100.7454404052 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 9.875591611245369 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 3.806322249672367 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Optimization problem:
INFO - 10:04:19: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:19: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:19: over the design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.02624881143486692 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.1287141687821924 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.003293111487528518 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 11218.43700592346 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 4.260096820785328 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 9.734456184588874 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:19: Optimization result:
INFO - 10:04:19: Optimizer info:
INFO - 10:04:19: Status: None
INFO - 10:04:19: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:19: Solution:
INFO - 10:04:19: Objective: 0.6633631110373543
INFO - 10:04:19: Design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.009354275405253232 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.0197359106291871 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.004260279200005004 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 65120.39466286526 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Optimization problem:
INFO - 10:04:19: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:19: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:19: over the design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.01359146151994876 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.1792737861950622 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.006881194532570118 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 1229.160037031894 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 2.587510942749914 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 0.7930309738998174 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:19: 1%| | 2/250 [00:00<00:00, 372.08 it/sec, feas=True, obj=0.319]
INFO - 10:04:19: 1%| | 3/250 [00:00<00:00, 384.94 it/sec, feas=True, obj=1.66]
INFO - 10:04:19: 2%|▏ | 4/250 [00:00<00:00, 378.28 it/sec, feas=True, obj=0.155]
INFO - 10:04:19: 2%|▏ | 5/250 [00:00<00:00, 370.14 it/sec, feas=True, obj=0.151]
INFO - 10:04:19: 2%|▏ | 6/250 [00:00<00:00, 368.03 it/sec, feas=True, obj=0.144]
INFO - 10:04:19: 3%|▎ | 7/250 [00:00<00:00, 366.53 it/sec, feas=True, obj=0.144]
INFO - 10:04:19: 3%|▎ | 8/250 [00:00<00:00, 363.41 it/sec, feas=True, obj=0.144]
INFO - 10:04:19: Optimization result:
INFO - 10:04:19: Optimizer info:
INFO - 10:04:19: Status: 0
INFO - 10:04:19: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:19: Solution:
INFO - 10:04:19: Objective: 0.14447041884971343
INFO - 10:04:19: Design space:
INFO - 10:04:19: +-----------------+----------------------+---------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+---------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.01749749916298826 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.02953530569060335 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.00688119453254377 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 1229.160039228546 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 9.999084633040813 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 9.999735148776567 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+---------------------+---------------------+-------+
INFO - 10:04:19: Optimization problem:
INFO - 10:04:19: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:19: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:19: over the design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.008471388525269326 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.3216123906094555 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.008455684525295801 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 51893.6650075742 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 4.841685669245659 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 3.806533090469718 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:19: Optimization result:
INFO - 10:04:19: Optimizer info:
INFO - 10:04:19: Status: None
INFO - 10:04:19: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:19: Solution:
INFO - 10:04:19: Objective: 0.5877514800240602
INFO - 10:04:19: Design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.01147964666902643 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.0197359106291871 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.008656409482392616 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 65120.39466286526 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Optimization problem:
INFO - 10:04:19: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:19: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:19: over the design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.03182700619765565 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.08295890434764686 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.007369403180473445 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 23614.54259474861 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 5.169901185402307 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 6.84670587772096 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:19: Optimization result:
INFO - 10:04:19: Optimizer info:
INFO - 10:04:19: Status: None
INFO - 10:04:19: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:19: Solution:
INFO - 10:04:19: Objective: 0.40231627548995785
INFO - 10:04:19: Design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.01679129669481379 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.0197359106291871 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.007504154340313484 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 65120.39466286526 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 9.536083781005745 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Optimization problem:
INFO - 10:04:19: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:19: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:19: over the design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.02407029254849739 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.03081559047817613 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.004994112920981713 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 47851.62249592619 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 3.561734423309778 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 0.196786351209056 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:19: 1%| | 2/250 [00:00<00:00, 382.66 it/sec, feas=True, obj=0.303]
INFO - 10:04:19: 1%| | 3/250 [00:00<00:00, 394.33 it/sec, feas=True, obj=0.14]
INFO - 10:04:19: 2%|▏ | 4/250 [00:00<00:00, 377.58 it/sec, feas=True, obj=0.126]
INFO - 10:04:19: 2%|▏ | 5/250 [00:00<00:00, 373.19 it/sec, feas=True, obj=0.119]
INFO - 10:04:19: 2%|▏ | 6/250 [00:00<00:00, 370.74 it/sec, feas=True, obj=0.114]
INFO - 10:04:19: 3%|▎ | 7/250 [00:00<00:00, 364.65 it/sec, feas=True, obj=0.109]
INFO - 10:04:19: 3%|▎ | 8/250 [00:00<00:00, 360.46 it/sec, feas=True, obj=0.107]
INFO - 10:04:19: 4%|▎ | 9/250 [00:00<00:00, 360.92 it/sec, feas=True, obj=0.105]
INFO - 10:04:19: 4%|▍ | 10/250 [00:00<00:00, 360.63 it/sec, feas=True, obj=0.101]
INFO - 10:04:19: 4%|▍ | 11/250 [00:00<00:00, 360.34 it/sec, feas=True, obj=0.101]
INFO - 10:04:19: 5%|▍ | 12/250 [00:00<00:00, 360.17 it/sec, feas=True, obj=0.1]
INFO - 10:04:19: 5%|▌ | 13/250 [00:00<00:00, 359.57 it/sec, feas=True, obj=0.1]
INFO - 10:04:19: 6%|▌ | 14/250 [00:00<00:00, 356.76 it/sec, feas=True, obj=0.1]
INFO - 10:04:19: 6%|▌ | 15/250 [00:00<00:00, 354.55 it/sec, feas=True, obj=0.1]
INFO - 10:04:19: 6%|▋ | 16/250 [00:00<00:00, 354.13 it/sec, feas=True, obj=0.1]
INFO - 10:04:19: 7%|▋ | 17/250 [00:00<00:00, 353.67 it/sec, feas=True, obj=0.1]
INFO - 10:04:19: 7%|▋ | 18/250 [00:00<00:00, 353.99 it/sec, feas=True, obj=0.0995]
INFO - 10:04:19: 8%|▊ | 19/250 [00:00<00:00, 354.09 it/sec, feas=True, obj=0.0906]
INFO - 10:04:19: 8%|▊ | 20/250 [00:00<00:00, 354.22 it/sec, feas=True, obj=0.0938]
INFO - 10:04:19: 8%|▊ | 21/250 [00:00<00:00, 353.48 it/sec, feas=True, obj=0.0906]
INFO - 10:04:19: 9%|▉ | 22/250 [00:00<00:00, 353.73 it/sec, feas=True, obj=0.441]
INFO - 10:04:19: 9%|▉ | 23/250 [00:00<00:00, 353.50 it/sec, feas=True, obj=0.0909]
INFO - 10:04:19: 10%|▉ | 24/250 [00:00<00:00, 353.07 it/sec, feas=True, obj=0.0905]
INFO - 10:04:19: 10%|█ | 25/250 [00:00<00:00, 353.26 it/sec, feas=True, obj=0.0905]
INFO - 10:04:19: 10%|█ | 26/250 [00:00<00:00, 352.52 it/sec, feas=True, obj=0.0905]
INFO - 10:04:19: Optimization result:
INFO - 10:04:19: Optimizer info:
INFO - 10:04:19: Status: None
INFO - 10:04:19: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:19: Solution:
INFO - 10:04:19: Objective: 0.09054294006536079
INFO - 10:04:19: Design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.02413231279264136 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.02981498303460285 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.001207076058859199 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 38838.83383509207 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 9.371890146807031 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 5.589389958722472 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Optimization problem:
INFO - 10:04:19: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:19: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:19: over the design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.007879992668529463 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.2588506639709345 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.006267802639183452 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 26062.27279635653 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 1.584139511566824 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 8.646435449387221 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:19: Optimization result:
INFO - 10:04:19: Optimizer info:
INFO - 10:04:19: Status: None
INFO - 10:04:19: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:19: Solution:
INFO - 10:04:19: Objective: 0.9999999999752226
INFO - 10:04:19: Design space:
INFO - 10:04:19: +-----------------+----------------------+---------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+---------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.0197359106291871 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.00623985930462147 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 41872.33487150312 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+---------------------+---------------------+-------+
INFO - 10:04:19: Optimization problem:
INFO - 10:04:19: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:19: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:19: over the design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.004934031718000058 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.1988300863366361 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.001591658492244656 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 22724.47534646552 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 3.881851228413161 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 5.404868117632494 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:19: Optimization result:
INFO - 10:04:19: Optimizer info:
INFO - 10:04:19: Status: None
INFO - 10:04:19: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:19: Solution:
INFO - 10:04:19: Objective: 0.9999999999993741
INFO - 10:04:19: Design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.0197359106291871 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.004412750835875352 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 65120.39466286526 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Optimization problem:
INFO - 10:04:19: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:19: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:19: over the design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.02838893432936179 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.312295986172366 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.002512421388107059 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 30655.1455361257 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 8.234739433018818 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 3.408753901197628 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:19: Optimization result:
INFO - 10:04:19: Optimizer info:
INFO - 10:04:19: Status: None
INFO - 10:04:19: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:19: Solution:
INFO - 10:04:19: Objective: 0.2372505905637387
INFO - 10:04:19: Design space:
INFO - 10:04:19: +-----------------+----------------------+---------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+---------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.02191296699862414 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.0197359106291871 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.01047950164828713 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 65120.39466286526 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+---------------------+---------------------+-------+
INFO - 10:04:19: Optimization problem:
INFO - 10:04:19: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:19: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:19: over the design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.03252111076039008 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.150478015673035 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.005803612120650222 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 53769.19895941847 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 8.81154772732992 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 4.60272431489444 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:19: 1%| | 2/250 [00:00<00:00, 367.50 it/sec, feas=True, obj=0.203]
INFO - 10:04:19: 1%| | 3/250 [00:00<00:00, 377.75 it/sec, feas=True, obj=0.146]
INFO - 10:04:19: 2%|▏ | 4/250 [00:00<00:00, 372.13 it/sec, feas=True, obj=0.143]
INFO - 10:04:19: 2%|▏ | 5/250 [00:00<00:00, 369.90 it/sec, feas=True, obj=0.143]
INFO - 10:04:19: 2%|▏ | 6/250 [00:00<00:00, 365.02 it/sec, feas=True, obj=0.143]
INFO - 10:04:19: 3%|▎ | 7/250 [00:00<00:00, 363.89 it/sec, feas=True, obj=0.143]
INFO - 10:04:19: 3%|▎ | 8/250 [00:00<00:00, 363.01 it/sec, feas=True, obj=0.144]
INFO - 10:04:19: 4%|▎ | 9/250 [00:00<00:00, 361.07 it/sec, feas=True, obj=0.143]
INFO - 10:04:19: 4%|▍ | 10/250 [00:00<00:00, 361.30 it/sec, feas=True, obj=0.143]
INFO - 10:04:19: 4%|▍ | 11/250 [00:00<00:00, 336.54 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 5%|▍ | 12/250 [00:00<00:00, 338.87 it/sec, feas=True, obj=0.143]
INFO - 10:04:19: 5%|▌ | 13/250 [00:00<00:00, 340.52 it/sec, feas=True, obj=0.143]
INFO - 10:04:19: 6%|▌ | 14/250 [00:00<00:00, 342.09 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 6%|▌ | 15/250 [00:00<00:00, 343.60 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 6%|▋ | 16/250 [00:00<00:00, 345.06 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 7%|▋ | 17/250 [00:00<00:00, 346.17 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 7%|▋ | 18/250 [00:00<00:00, 344.58 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 8%|▊ | 19/250 [00:00<00:00, 345.25 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 8%|▊ | 20/250 [00:00<00:00, 345.93 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 8%|▊ | 21/250 [00:00<00:00, 347.09 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 9%|▉ | 22/250 [00:00<00:00, 347.80 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 9%|▉ | 23/250 [00:00<00:00, 348.42 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 10%|▉ | 24/250 [00:00<00:00, 349.14 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 10%|█ | 25/250 [00:00<00:00, 349.96 it/sec, feas=True, obj=0.157]
INFO - 10:04:19: 10%|█ | 26/250 [00:00<00:00, 350.55 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 11%|█ | 27/250 [00:00<00:00, 350.92 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 11%|█ | 28/250 [00:00<00:00, 351.41 it/sec, feas=True, obj=0.141]
INFO - 10:04:19: 12%|█▏ | 29/250 [00:00<00:00, 352.15 it/sec, feas=True, obj=0.155]
INFO - 10:04:19: 12%|█▏ | 30/250 [00:00<00:00, 352.46 it/sec, feas=True, obj=0.135]
INFO - 10:04:19: 12%|█▏ | 31/250 [00:00<00:00, 352.83 it/sec, feas=True, obj=0.659]
INFO - 10:04:19: 13%|█▎ | 32/250 [00:00<00:00, 353.42 it/sec, feas=True, obj=0.133]
INFO - 10:04:19: 13%|█▎ | 33/250 [00:00<00:00, 353.85 it/sec, feas=True, obj=0.253]
INFO - 10:04:19: 14%|█▎ | 34/250 [00:00<00:00, 354.08 it/sec, feas=True, obj=0.128]
INFO - 10:04:19: 14%|█▍ | 35/250 [00:00<00:00, 354.31 it/sec, feas=True, obj=0.128]
INFO - 10:04:19: 14%|█▍ | 36/250 [00:00<00:00, 354.23 it/sec, feas=True, obj=0.123]
INFO - 10:04:19: 15%|█▍ | 37/250 [00:00<00:00, 354.52 it/sec, feas=True, obj=0.167]
INFO - 10:04:19: 15%|█▌ | 38/250 [00:00<00:00, 354.66 it/sec, feas=True, obj=0.146]
INFO - 10:04:19: 16%|█▌ | 39/250 [00:00<00:00, 354.67 it/sec, feas=True, obj=0.115]
INFO - 10:04:19: 16%|█▌ | 40/250 [00:00<00:00, 354.90 it/sec, feas=True, obj=0.209]
INFO - 10:04:19: 16%|█▋ | 41/250 [00:00<00:00, 354.66 it/sec, feas=True, obj=0.113]
INFO - 10:04:19: 17%|█▋ | 42/250 [00:00<00:00, 354.85 it/sec, feas=True, obj=0.298]
INFO - 10:04:19: 17%|█▋ | 43/250 [00:00<00:00, 354.82 it/sec, feas=True, obj=0.108]
INFO - 10:04:19: 18%|█▊ | 44/250 [00:00<00:00, 354.95 it/sec, feas=True, obj=0.107]
INFO - 10:04:19: 18%|█▊ | 45/250 [00:00<00:00, 354.85 it/sec, feas=True, obj=0.1]
INFO - 10:04:19: 18%|█▊ | 46/250 [00:00<00:00, 354.90 it/sec, feas=True, obj=0.0968]
INFO - 10:04:19: 19%|█▉ | 47/250 [00:00<00:00, 355.03 it/sec, feas=True, obj=0.0836]
INFO - 10:04:19: 19%|█▉ | 48/250 [00:00<00:00, 355.11 it/sec, feas=True, obj=0.0977]
INFO - 10:04:19: 20%|█▉ | 49/250 [00:00<00:00, 355.03 it/sec, feas=True, obj=0.0756]
INFO - 10:04:19: 20%|██ | 50/250 [00:00<00:00, 355.02 it/sec, feas=True, obj=0.0701]
INFO - 10:04:19: 20%|██ | 51/250 [00:00<00:00, 354.73 it/sec, feas=True, obj=0.0701]
INFO - 10:04:19: 21%|██ | 52/250 [00:00<00:00, 354.71 it/sec, feas=True, obj=0.0693]
INFO - 10:04:19: 21%|██ | 53/250 [00:00<00:00, 354.42 it/sec, feas=True, obj=0.0692]
INFO - 10:04:19: 22%|██▏ | 54/250 [00:00<00:00, 354.43 it/sec, feas=True, obj=0.0692]
INFO - 10:04:19: 22%|██▏ | 55/250 [00:00<00:00, 354.12 it/sec, feas=True, obj=0.0691]
INFO - 10:04:19: 22%|██▏ | 56/250 [00:00<00:00, 353.67 it/sec, feas=True, obj=0.0691]
INFO - 10:04:19: 23%|██▎ | 57/250 [00:00<00:00, 353.65 it/sec, feas=True, obj=0.0691]
INFO - 10:04:19: 23%|██▎ | 58/250 [00:00<00:00, 353.36 it/sec, feas=True, obj=0.0691]
INFO - 10:04:19: 24%|██▎ | 59/250 [00:00<00:00, 353.00 it/sec, feas=True, obj=0.0689]
INFO - 10:04:19: 24%|██▍ | 60/250 [00:00<00:00, 353.10 it/sec, feas=True, obj=0.0681]
INFO - 10:04:19: 24%|██▍ | 61/250 [00:00<00:00, 352.64 it/sec, feas=True, obj=0.0665]
INFO - 10:04:19: 25%|██▍ | 62/250 [00:00<00:00, 352.29 it/sec, feas=True, obj=0.066]
INFO - 10:04:19: 25%|██▌ | 63/250 [00:00<00:00, 352.34 it/sec, feas=True, obj=0.065]
INFO - 10:04:19: 26%|██▌ | 64/250 [00:00<00:00, 352.21 it/sec, feas=True, obj=0.0647]
INFO - 10:04:19: 26%|██▌ | 65/250 [00:00<00:00, 352.10 it/sec, feas=True, obj=0.0643]
INFO - 10:04:19: 26%|██▋ | 66/250 [00:00<00:00, 352.25 it/sec, feas=True, obj=0.0641]
INFO - 10:04:19: 27%|██▋ | 67/250 [00:00<00:00, 352.25 it/sec, feas=True, obj=0.0638]
INFO - 10:04:19: 27%|██▋ | 68/250 [00:00<00:00, 352.28 it/sec, feas=True, obj=0.0614]
INFO - 10:04:19: 28%|██▊ | 69/250 [00:00<00:00, 352.28 it/sec, feas=True, obj=0.0601]
INFO - 10:04:19: 28%|██▊ | 70/250 [00:00<00:00, 352.44 it/sec, feas=True, obj=0.0598]
INFO - 10:04:19: 28%|██▊ | 71/250 [00:00<00:00, 352.75 it/sec, feas=True, obj=0.0601]
INFO - 10:04:19: 29%|██▉ | 72/250 [00:00<00:00, 352.81 it/sec, feas=True, obj=0.0598]
INFO - 10:04:19: 29%|██▉ | 73/250 [00:00<00:00, 352.80 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 30%|██▉ | 74/250 [00:00<00:00, 352.92 it/sec, feas=True, obj=0.103]
INFO - 10:04:19: 30%|███ | 75/250 [00:00<00:00, 353.00 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 30%|███ | 76/250 [00:00<00:00, 352.87 it/sec, feas=True, obj=0.0914]
INFO - 10:04:19: 31%|███ | 77/250 [00:00<00:00, 352.68 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 31%|███ | 78/250 [00:00<00:00, 352.57 it/sec, feas=True, obj=0.0969]
INFO - 10:04:19: 32%|███▏ | 79/250 [00:00<00:00, 352.40 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 32%|███▏ | 80/250 [00:00<00:00, 352.20 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 32%|███▏ | 81/250 [00:00<00:00, 352.20 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 33%|███▎ | 82/250 [00:00<00:00, 352.26 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 33%|███▎ | 83/250 [00:00<00:00, 351.98 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 34%|███▎ | 84/250 [00:00<00:00, 352.00 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 34%|███▍ | 85/250 [00:00<00:00, 352.07 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 34%|███▍ | 86/250 [00:00<00:00, 351.90 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 35%|███▍ | 87/250 [00:00<00:00, 351.75 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 35%|███▌ | 88/250 [00:00<00:00, 351.61 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: Optimization result:
INFO - 10:04:19: Optimizer info:
INFO - 10:04:19: Status: None
INFO - 10:04:19: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:19: Solution:
INFO - 10:04:19: Objective: 0.059656661635318284
INFO - 10:04:19: Design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.02168365804288068 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.03177590897454181 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.001164389072031903 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 32000.28116160214 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 9.875584140481221 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 3.386124874121075 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Optimization problem:
INFO - 10:04:19: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:19: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:19: over the design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.01254312473294938 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.107934464698574 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.004633434330564972 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 18743.63247939379 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 9.197003967850243 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 2.224733400313706 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:19: 1%| | 2/250 [00:00<00:00, 375.63 it/sec, feas=True, obj=0.618]
INFO - 10:04:19: 1%| | 3/250 [00:00<00:00, 390.01 it/sec, feas=True, obj=0.533]
INFO - 10:04:19: 2%|▏ | 4/250 [00:00<00:00, 379.77 it/sec, feas=True, obj=0.232]
INFO - 10:04:19: 2%|▏ | 5/250 [00:00<00:00, 373.80 it/sec, feas=True, obj=0.987]
INFO - 10:04:19: 2%|▏ | 6/250 [00:00<00:00, 367.02 it/sec, feas=True, obj=0.163]
INFO - 10:04:19: 3%|▎ | 7/250 [00:00<00:00, 366.54 it/sec, feas=True, obj=0.281]
INFO - 10:04:19: 3%|▎ | 8/250 [00:00<00:00, 362.64 it/sec, feas=True, obj=0.133]
INFO - 10:04:19: 4%|▎ | 9/250 [00:00<00:00, 363.53 it/sec, feas=True, obj=0.213]
INFO - 10:04:19: 4%|▍ | 10/250 [00:00<00:00, 363.60 it/sec, feas=True, obj=0.129]
INFO - 10:04:19: 4%|▍ | 11/250 [00:00<00:00, 363.75 it/sec, feas=True, obj=0.637]
INFO - 10:04:19: 5%|▍ | 12/250 [00:00<00:00, 362.68 it/sec, feas=True, obj=0.125]
INFO - 10:04:19: 5%|▌ | 13/250 [00:00<00:00, 346.12 it/sec, feas=True, obj=0.125]
INFO - 10:04:19: 6%|▌ | 14/250 [00:00<00:00, 345.95 it/sec, feas=True, obj=0.124]
INFO - 10:04:19: 6%|▌ | 15/250 [00:00<00:00, 347.07 it/sec, feas=True, obj=0.119]
INFO - 10:04:19: 6%|▋ | 16/250 [00:00<00:00, 347.33 it/sec, feas=True, obj=0.114]
INFO - 10:04:19: 7%|▋ | 17/250 [00:00<00:00, 348.26 it/sec, feas=True, obj=0.1]
INFO - 10:04:19: 7%|▋ | 18/250 [00:00<00:00, 348.16 it/sec, feas=True, obj=0.0983]
INFO - 10:04:19: 8%|▊ | 19/250 [00:00<00:00, 348.09 it/sec, feas=True, obj=0.0972]
INFO - 10:04:19: 8%|▊ | 20/250 [00:00<00:00, 347.90 it/sec, feas=True, obj=0.0823]
INFO - 10:04:19: 8%|▊ | 21/250 [00:00<00:00, 347.70 it/sec, feas=True, obj=0.141]
INFO - 10:04:19: 9%|▉ | 22/250 [00:00<00:00, 347.51 it/sec, feas=True, obj=0.0705]
INFO - 10:04:19: 9%|▉ | 23/250 [00:00<00:00, 347.23 it/sec, feas=True, obj=0.0687]
INFO - 10:04:19: 10%|▉ | 24/250 [00:00<00:00, 347.02 it/sec, feas=True, obj=0.0682]
INFO - 10:04:19: 10%|█ | 25/250 [00:00<00:00, 347.00 it/sec, feas=True, obj=0.0721]
INFO - 10:04:19: 10%|█ | 26/250 [00:00<00:00, 346.07 it/sec, feas=True, obj=0.0681]
INFO - 10:04:19: 11%|█ | 27/250 [00:00<00:00, 346.44 it/sec, feas=True, obj=0.0724]
INFO - 10:04:19: 11%|█ | 28/250 [00:00<00:00, 346.94 it/sec, feas=True, obj=0.0679]
INFO - 10:04:19: 12%|█▏ | 29/250 [00:00<00:00, 347.24 it/sec, feas=True, obj=0.0679]
INFO - 10:04:19: 12%|█▏ | 30/250 [00:00<00:00, 347.63 it/sec, feas=True, obj=0.0679]
INFO - 10:04:19: 12%|█▏ | 31/250 [00:00<00:00, 347.97 it/sec, feas=True, obj=0.0679]
INFO - 10:04:19: 13%|█▎ | 32/250 [00:00<00:00, 348.19 it/sec, feas=True, obj=0.0678]
INFO - 10:04:19: 13%|█▎ | 33/250 [00:00<00:00, 348.05 it/sec, feas=True, obj=0.0677]
INFO - 10:04:19: 14%|█▎ | 34/250 [00:00<00:00, 348.24 it/sec, feas=True, obj=0.0671]
INFO - 10:04:19: 14%|█▍ | 35/250 [00:00<00:00, 347.93 it/sec, feas=True, obj=0.0743]
INFO - 10:04:19: 14%|█▍ | 36/250 [00:00<00:00, 347.76 it/sec, feas=True, obj=0.0674]
INFO - 10:04:19: 15%|█▍ | 37/250 [00:00<00:00, 347.96 it/sec, feas=True, obj=0.0671]
INFO - 10:04:19: 15%|█▌ | 38/250 [00:00<00:00, 348.18 it/sec, feas=True, obj=0.0708]
INFO - 10:04:19: 16%|█▌ | 39/250 [00:00<00:00, 348.11 it/sec, feas=True, obj=0.0658]
INFO - 10:04:19: 16%|█▌ | 40/250 [00:00<00:00, 347.70 it/sec, feas=True, obj=0.0653]
INFO - 10:04:19: 16%|█▋ | 41/250 [00:00<00:00, 346.00 it/sec, feas=True, obj=0.0632]
INFO - 10:04:19: 17%|█▋ | 42/250 [00:00<00:00, 343.89 it/sec, feas=True, obj=0.091]
INFO - 10:04:19: 17%|█▋ | 43/250 [00:00<00:00, 343.73 it/sec, feas=True, obj=0.0623]
INFO - 10:04:19: 18%|█▊ | 44/250 [00:00<00:00, 344.15 it/sec, feas=True, obj=0.0606]
INFO - 10:04:19: 18%|█▊ | 45/250 [00:00<00:00, 344.37 it/sec, feas=True, obj=0.0615]
INFO - 10:04:19: 18%|█▊ | 46/250 [00:00<00:00, 344.14 it/sec, feas=True, obj=0.0603]
INFO - 10:04:19: 19%|█▉ | 47/250 [00:00<00:00, 343.94 it/sec, feas=True, obj=0.0599]
INFO - 10:04:19: 19%|█▉ | 48/250 [00:00<00:00, 343.81 it/sec, feas=True, obj=0.0598]
INFO - 10:04:19: 20%|█▉ | 49/250 [00:00<00:00, 343.62 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 20%|██ | 50/250 [00:00<00:00, 343.45 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 20%|██ | 51/250 [00:00<00:00, 343.25 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 21%|██ | 52/250 [00:00<00:00, 343.06 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 21%|██ | 53/250 [00:00<00:00, 342.92 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 22%|██▏ | 54/250 [00:00<00:00, 342.61 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 22%|██▏ | 55/250 [00:00<00:00, 342.36 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 22%|██▏ | 56/250 [00:00<00:00, 342.00 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 23%|██▎ | 57/250 [00:00<00:00, 340.09 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 23%|██▎ | 58/250 [00:00<00:00, 340.22 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 24%|██▎ | 59/250 [00:00<00:00, 340.05 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 24%|██▍ | 60/250 [00:00<00:00, 340.19 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 24%|██▍ | 61/250 [00:00<00:00, 340.38 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: 25%|██▍ | 62/250 [00:00<00:00, 340.42 it/sec, feas=True, obj=0.0597]
INFO - 10:04:19: Optimization result:
INFO - 10:04:19: Optimizer info:
INFO - 10:04:19: Status: None
INFO - 10:04:19: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:19: Solution:
INFO - 10:04:19: Objective: 0.05965666163540464
INFO - 10:04:19: Design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.02168365138587359 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.0321738627755944 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.001164389072031903 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 32328.31032745891 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 9.875628621195098 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 4.961061237673031 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Optimization problem:
INFO - 10:04:19: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:19: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:19: over the design space:
INFO - 10:04:19: +-----------------+----------------------+---------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+---------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.01566482268601786 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.1312496892933361 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.00989095290451871 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 60943.48109694224 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 2.425630286446258 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 7.080730934612159 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+---------------------+---------------------+-------+
INFO - 10:04:19: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:19: Optimization result:
INFO - 10:04:19: Optimizer info:
INFO - 10:04:19: Status: None
INFO - 10:04:19: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:19: Solution:
INFO - 10:04:19: Objective: 0.28370138027991343
INFO - 10:04:19: Design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.03373617263374096 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.0197359106291871 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.009849999188716228 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 41840.54645443428 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 8.229079235659409 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Optimization problem:
INFO - 10:04:19: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:19: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:19: over the design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.02218091443612762 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.2975628901843179 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.004036737395844068 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 5923.318553488997 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 1.720671591034137 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 6.258728338364227 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:19: Optimization result:
INFO - 10:04:19: Optimizer info:
INFO - 10:04:19: Status: None
INFO - 10:04:19: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:19: Solution:
INFO - 10:04:19: Objective: 0.9999999999993741
INFO - 10:04:19: Design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.0197359106291871 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.004612962140264558 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 65120.39466286526 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Optimization problem:
INFO - 10:04:19: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:19: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:19: over the design space:
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: | left_asymptote | 0 | 0.003258089526601536 | 0.03373617263374096 | float |
INFO - 10:04:19: | capacity | 0.0197359106291871 | 0.2440292197837753 | 0.3373617263374096 | float |
INFO - 10:04:19: | growth_rate | 0.001164389072031903 | 0.003843596605495001 | 0.01047950164828713 | float |
INFO - 10:04:19: | x_lag | 0 | 61996.83469912896 | 65120.39466286526 | float |
INFO - 10:04:19: | logistic_nu | 0.1 | 6.787332013229979 | 10 | float |
INFO - 10:04:19: | asymptote_coeff | 0.1 | 1.867656520116681 | 10 | float |
INFO - 10:04:19: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:19: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:19: 1%| | 2/250 [00:00<00:00, 376.09 it/sec, feas=True, obj=0.245]
INFO - 10:04:19: 1%| | 3/250 [00:00<00:00, 376.91 it/sec, feas=True, obj=0.192]
INFO - 10:04:19: 2%|▏ | 4/250 [00:00<00:00, 368.72 it/sec, feas=True, obj=0.144]
INFO - 10:04:19: 2%|▏ | 5/250 [00:00<00:00, 364.51 it/sec, feas=True, obj=0.143]
INFO - 10:04:19: 2%|▏ | 6/250 [00:00<00:00, 361.53 it/sec, feas=True, obj=0.143]
INFO - 10:04:19: 3%|▎ | 7/250 [00:00<00:00, 362.33 it/sec, feas=True, obj=0.143]
INFO - 10:04:19: 3%|▎ | 8/250 [00:00<00:00, 360.73 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 4%|▎ | 9/250 [00:00<00:00, 360.31 it/sec, feas=True, obj=0.145]
INFO - 10:04:19: 4%|▍ | 10/250 [00:00<00:00, 360.17 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 4%|▍ | 11/250 [00:00<00:00, 359.01 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 5%|▍ | 12/250 [00:00<00:00, 358.01 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 5%|▌ | 13/250 [00:00<00:00, 358.50 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 6%|▌ | 14/250 [00:00<00:00, 358.08 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 6%|▌ | 15/250 [00:00<00:00, 358.82 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 6%|▋ | 16/250 [00:00<00:00, 358.35 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 7%|▋ | 17/250 [00:00<00:00, 358.00 it/sec, feas=True, obj=0.142]
INFO - 10:04:19: 7%|▋ | 18/250 [00:00<00:00, 358.22 it/sec, feas=True, obj=0.141]
INFO - 10:04:19: 8%|▊ | 19/250 [00:00<00:00, 358.16 it/sec, feas=True, obj=0.141]
INFO - 10:04:19: 8%|▊ | 20/250 [00:00<00:00, 358.50 it/sec, feas=True, obj=0.141]
INFO - 10:04:19: 8%|▊ | 21/250 [00:00<00:00, 358.79 it/sec, feas=True, obj=0.139]
INFO - 10:04:19: 9%|▉ | 22/250 [00:00<00:00, 359.28 it/sec, feas=True, obj=0.15]
INFO - 10:04:19: 9%|▉ | 23/250 [00:00<00:00, 359.69 it/sec, feas=True, obj=0.138]
INFO - 10:04:19: 10%|▉ | 24/250 [00:00<00:00, 359.83 it/sec, feas=True, obj=0.141]
INFO - 10:04:19: 10%|█ | 25/250 [00:00<00:00, 359.78 it/sec, feas=True, obj=0.138]
INFO - 10:04:19: 10%|█ | 26/250 [00:00<00:00, 360.21 it/sec, feas=True, obj=0.139]
INFO - 10:04:19: 11%|█ | 27/250 [00:00<00:00, 360.44 it/sec, feas=True, obj=0.138]
INFO - 10:04:19: 11%|█ | 28/250 [00:00<00:00, 360.54 it/sec, feas=True, obj=0.19]
INFO - 10:04:20: 12%|█▏ | 29/250 [00:00<00:00, 360.76 it/sec, feas=True, obj=0.141]
INFO - 10:04:20: 12%|█▏ | 30/250 [00:00<00:00, 361.09 it/sec, feas=True, obj=0.137]
INFO - 10:04:20: 12%|█▏ | 31/250 [00:00<00:00, 361.13 it/sec, feas=True, obj=0.137]
INFO - 10:04:20: 13%|█▎ | 32/250 [00:00<00:00, 360.90 it/sec, feas=True, obj=0.216]
INFO - 10:04:20: 13%|█▎ | 33/250 [00:00<00:00, 360.34 it/sec, feas=True, obj=0.137]
INFO - 10:04:20: 14%|█▎ | 34/250 [00:00<00:00, 360.03 it/sec, feas=True, obj=0.137]
INFO - 10:04:20: 14%|█▍ | 35/250 [00:00<00:00, 360.47 it/sec, feas=True, obj=0.144]
INFO - 10:04:20: 14%|█▍ | 36/250 [00:00<00:00, 360.67 it/sec, feas=True, obj=0.137]
INFO - 10:04:20: 15%|█▍ | 37/250 [00:00<00:00, 360.82 it/sec, feas=True, obj=0.136]
INFO - 10:04:20: 15%|█▌ | 38/250 [00:00<00:00, 361.05 it/sec, feas=True, obj=0.13]
INFO - 10:04:20: 16%|█▌ | 39/250 [00:00<00:00, 353.53 it/sec, feas=True, obj=0.111]
INFO - 10:04:20: 16%|█▌ | 40/250 [00:00<00:00, 353.38 it/sec, feas=True, obj=0.149]
INFO - 10:04:20: 16%|█▋ | 41/250 [00:00<00:00, 353.66 it/sec, feas=True, obj=0.104]
INFO - 10:04:20: 17%|█▋ | 42/250 [00:00<00:00, 353.35 it/sec, feas=True, obj=0.0945]
INFO - 10:04:20: 17%|█▋ | 43/250 [00:00<00:00, 353.60 it/sec, feas=True, obj=0.0845]
INFO - 10:04:20: 18%|█▊ | 44/250 [00:00<00:00, 353.78 it/sec, feas=True, obj=0.0855]
INFO - 10:04:20: 18%|█▊ | 45/250 [00:00<00:00, 348.24 it/sec, feas=True, obj=0.113]
INFO - 10:04:20: 18%|█▊ | 46/250 [00:00<00:00, 348.51 it/sec, feas=True, obj=0.0777]
INFO - 10:04:20: 19%|█▉ | 47/250 [00:00<00:00, 348.71 it/sec, feas=True, obj=0.0698]
INFO - 10:04:20: 19%|█▉ | 48/250 [00:00<00:00, 348.96 it/sec, feas=True, obj=0.0995]
INFO - 10:04:20: 20%|█▉ | 49/250 [00:00<00:00, 349.18 it/sec, feas=True, obj=0.0674]
INFO - 10:04:20: 20%|██ | 50/250 [00:00<00:00, 349.50 it/sec, feas=True, obj=0.0666]
INFO - 10:04:20: 20%|██ | 51/250 [00:00<00:00, 349.69 it/sec, feas=True, obj=0.0658]
INFO - 10:04:20: 21%|██ | 52/250 [00:00<00:00, 346.60 it/sec, feas=True, obj=0.0656]
INFO - 10:04:20: 21%|██ | 53/250 [00:00<00:00, 347.77 it/sec, feas=True, obj=0.0653]
INFO - 10:04:20: 22%|██▏ | 54/250 [00:00<00:00, 345.68 it/sec, feas=True, obj=0.0655]
INFO - 10:04:20: 22%|██▏ | 55/250 [00:00<00:00, 345.96 it/sec, feas=True, obj=0.0646]
INFO - 10:04:20: 22%|██▏ | 56/250 [00:00<00:00, 346.07 it/sec, feas=True, obj=0.0631]
INFO - 10:04:20: 23%|██▎ | 57/250 [00:00<00:00, 346.18 it/sec, feas=True, obj=0.0609]
INFO - 10:04:20: 23%|██▎ | 58/250 [00:00<00:00, 346.32 it/sec, feas=True, obj=0.0606]
INFO - 10:04:20: 24%|██▎ | 59/250 [00:00<00:00, 346.48 it/sec, feas=True, obj=0.0604]
INFO - 10:04:20: 24%|██▍ | 60/250 [00:00<00:00, 346.67 it/sec, feas=True, obj=0.0604]
INFO - 10:04:20: 24%|██▍ | 61/250 [00:00<00:00, 347.24 it/sec, feas=True, obj=0.0604]
INFO - 10:04:20: 25%|██▍ | 62/250 [00:00<00:00, 347.30 it/sec, feas=True, obj=0.0604]
INFO - 10:04:20: 25%|██▌ | 63/250 [00:00<00:00, 347.45 it/sec, feas=True, obj=0.0603]
INFO - 10:04:20: 26%|██▌ | 64/250 [00:00<00:00, 347.65 it/sec, feas=True, obj=0.0601]
INFO - 10:04:20: 26%|██▌ | 65/250 [00:00<00:00, 347.73 it/sec, feas=True, obj=0.0599]
INFO - 10:04:20: 26%|██▋ | 66/250 [00:00<00:00, 347.82 it/sec, feas=True, obj=0.0597]
INFO - 10:04:20: 27%|██▋ | 67/250 [00:00<00:00, 347.82 it/sec, feas=True, obj=0.0597]
INFO - 10:04:20: 27%|██▋ | 68/250 [00:00<00:00, 347.80 it/sec, feas=True, obj=0.0597]
INFO - 10:04:20: 28%|██▊ | 69/250 [00:00<00:00, 347.86 it/sec, feas=True, obj=0.0597]
INFO - 10:04:20: 28%|██▊ | 70/250 [00:00<00:00, 347.92 it/sec, feas=True, obj=0.0597]
INFO - 10:04:20: 28%|██▊ | 71/250 [00:00<00:00, 347.95 it/sec, feas=True, obj=0.0597]
INFO - 10:04:20: 29%|██▉ | 72/250 [00:00<00:00, 347.99 it/sec, feas=True, obj=0.0597]
INFO - 10:04:20: 29%|██▉ | 73/250 [00:00<00:00, 348.02 it/sec, feas=True, obj=0.0597]
INFO - 10:04:20: 30%|██▉ | 74/250 [00:00<00:00, 348.03 it/sec, feas=True, obj=0.0597]
INFO - 10:04:20: Optimization result:
INFO - 10:04:20: Optimizer info:
INFO - 10:04:20: Status: None
INFO - 10:04:20: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:20: Solution:
INFO - 10:04:20: Objective: 0.05965666163537864
INFO - 10:04:20: Design space:
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0.02168365903207985 | 0.03373617263374096 | float |
INFO - 10:04:20: | capacity | 0.0197359106291871 | 0.03273063021246073 | 0.3373617263374096 | float |
INFO - 10:04:20: | growth_rate | 0.001164389072031903 | 0.001164389072031903 | 0.01047950164828713 | float |
INFO - 10:04:20: | x_lag | 0 | 32766.91590671409 | 65120.39466286526 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 9.875603896661033 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 8.26747317651097 | 10 | float |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: Optimization problem:
INFO - 10:04:20: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:20: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:20: over the design space:
INFO - 10:04:20: +-----------------+----------------------+---------------------+---------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+----------------------+---------------------+---------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0.02177957331929698 | 0.03373617263374096 | float |
INFO - 10:04:20: | capacity | 0.0197359106291871 | 0.2407701985796914 | 0.3373617263374096 | float |
INFO - 10:04:20: | growth_rate | 0.001164389072031903 | 0.01020398744252293 | 0.01047950164828713 | float |
INFO - 10:04:20: | x_lag | 0 | 15925.00487829194 | 65120.39466286526 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 6.425630516779915 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 1.548411432916598 | 10 | float |
INFO - 10:04:20: +-----------------+----------------------+---------------------+---------------------+-------+
INFO - 10:04:20: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:20: Optimization result:
INFO - 10:04:20: Optimizer info:
INFO - 10:04:20: Status: None
INFO - 10:04:20: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:20: Solution:
INFO - 10:04:20: Objective: 0.32554845629511303
INFO - 10:04:20: Design space:
INFO - 10:04:20: +-----------------+----------------------+---------------------+---------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+----------------------+---------------------+---------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0.01908141848742977 | 0.03373617263374096 | float |
INFO - 10:04:20: | capacity | 0.0197359106291871 | 0.0197359106291871 | 0.3373617263374096 | float |
INFO - 10:04:20: | growth_rate | 0.001164389072031903 | 0.01047950164828713 | 0.01047950164828713 | float |
INFO - 10:04:20: | x_lag | 0 | 65120.39466286526 | 65120.39466286526 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:20: +-----------------+----------------------+---------------------+---------------------+-------+
INFO - 10:04:20: Optimization problem:
INFO - 10:04:20: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:20: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:20: over the design space:
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0.006459991828294129 | 0.03373617263374096 | float |
INFO - 10:04:20: | capacity | 0.0197359106291871 | 0.04195139074862013 | 0.3373617263374096 | float |
INFO - 10:04:20: | growth_rate | 0.001164389072031903 | 0.009360544095547789 | 0.01047950164828713 | float |
INFO - 10:04:20: | x_lag | 0 | 7284.845375672672 | 65120.39466286526 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 7.841656902223648 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 5.549818106841609 | 10 | float |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:20: 1%| | 2/250 [00:00<00:00, 389.30 it/sec, feas=True, obj=0.468]
INFO - 10:04:20: 1%| | 3/250 [00:00<00:00, 398.55 it/sec, feas=True, obj=0.146]
INFO - 10:04:20: 2%|▏ | 4/250 [00:00<00:00, 387.02 it/sec, feas=True, obj=0.149]
INFO - 10:04:20: 2%|▏ | 5/250 [00:00<00:00, 376.33 it/sec, feas=True, obj=0.144]
INFO - 10:04:20: 2%|▏ | 6/250 [00:00<00:00, 370.52 it/sec, feas=True, obj=0.144]
INFO - 10:04:20: 3%|▎ | 7/250 [00:00<00:00, 369.04 it/sec, feas=True, obj=0.144]
INFO - 10:04:20: 3%|▎ | 8/250 [00:00<00:00, 367.72 it/sec, feas=True, obj=0.144]
INFO - 10:04:20: Optimization result:
INFO - 10:04:20: Optimizer info:
INFO - 10:04:20: Status: None
INFO - 10:04:20: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:20: Solution:
INFO - 10:04:20: Objective: 0.14446999300997412
INFO - 10:04:20: Design space:
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0.005109387805443804 | 0.03373617263374096 | float |
INFO - 10:04:20: | capacity | 0.0197359106291871 | 0.03350555730630087 | 0.3373617263374096 | float |
INFO - 10:04:20: | growth_rate | 0.001164389072031903 | 0.009265347273609814 | 0.01047950164828713 | float |
INFO - 10:04:20: | x_lag | 0 | 4565.691932683131 | 65120.39466286526 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 7.115168321948349 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 6.246559452778508 | 10 | float |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: Optimization problem:
INFO - 10:04:20: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:20: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:20: over the design space:
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0.001388946538053971 | 0.03373617263374096 | float |
INFO - 10:04:20: | capacity | 0.0197359106291871 | 0.09875715058809827 | 0.3373617263374096 | float |
INFO - 10:04:20: | growth_rate | 0.001164389072031903 | 0.006594258660482153 | 0.01047950164828713 | float |
INFO - 10:04:20: | x_lag | 0 | 40495.35316465988 | 65120.39466286526 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 5.62268233127262 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 8.355177201624285 | 10 | float |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:20: Optimization result:
INFO - 10:04:20: Optimizer info:
INFO - 10:04:20: Status: None
INFO - 10:04:20: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:20: Solution:
INFO - 10:04:20: Objective: 0.3462090961746001
INFO - 10:04:20: Design space:
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0.01845549494272953 | 0.03373617263374096 | float |
INFO - 10:04:20: | capacity | 0.0197359106291871 | 0.0197359106291871 | 0.3373617263374096 | float |
INFO - 10:04:20: | growth_rate | 0.001164389072031903 | 0.006426277227093966 | 0.01047950164828713 | float |
INFO - 10:04:20: | x_lag | 0 | 33508.796797676 | 65120.39466286526 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: Optimization problem:
INFO - 10:04:20: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:20: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:20: over the design space:
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0.03008587650185252 | 0.03373617263374096 | float |
INFO - 10:04:20: | capacity | 0.0197359106291871 | 0.2105137200759271 | 0.3373617263374096 | float |
INFO - 10:04:20: | growth_rate | 0.001164389072031903 | 0.008895788419018516 | 0.01047950164828713 | float |
INFO - 10:04:20: | x_lag | 0 | 35280.62503499725 | 65120.39466286526 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 0.8873151181548338 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 3.019796092071068 | 10 | float |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:20: Optimization result:
INFO - 10:04:20: Optimizer info:
INFO - 10:04:20: Status: None
INFO - 10:04:20: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:20: Solution:
INFO - 10:04:20: Objective: 0.7338185652926188
INFO - 10:04:20: Design space:
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0.007384900750475949 | 0.03373617263374096 | float |
INFO - 10:04:20: | capacity | 0.0197359106291871 | 0.0197359106291871 | 0.3373617263374096 | float |
INFO - 10:04:20: | growth_rate | 0.001164389072031903 | 0.008895565577638018 | 0.01047950164828713 | float |
INFO - 10:04:20: | x_lag | 0 | 35327.39063603704 | 65120.39466286526 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: Optimization problem:
INFO - 10:04:20: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:20: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:20: over the design space:
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0.0181881897168287 | 0.03373617263374096 | float |
INFO - 10:04:20: | capacity | 0.0197359106291871 | 0.2853006228903187 | 0.3373617263374096 | float |
INFO - 10:04:20: | growth_rate | 0.001164389072031903 | 0.007761537177857095 | 0.01047950164828713 | float |
INFO - 10:04:20: | x_lag | 0 | 37427.98409143711 | 65120.39466286526 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 9.519289087607232 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 9.085777545900603 | 10 | float |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:20: Optimization result:
INFO - 10:04:20: Optimizer info:
INFO - 10:04:20: Status: None
INFO - 10:04:20: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:20: Solution:
INFO - 10:04:20: Objective: 0.515153155980014
INFO - 10:04:20: Design space:
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0.01353713778914581 | 0.03373617263374096 | float |
INFO - 10:04:20: | capacity | 0.0197359106291871 | 0.0197359106291871 | 0.3373617263374096 | float |
INFO - 10:04:20: | growth_rate | 0.001164389072031903 | 0.008712660063044352 | 0.01047950164828713 | float |
INFO - 10:04:20: | x_lag | 0 | 65120.39466286526 | 65120.39466286526 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: Optimization result:
INFO - 10:04:20: Optimizer info:
INFO - 10:04:20: Status: None
INFO - 10:04:20: Message: None
INFO - 10:04:20: Solution:
INFO - 10:04:20: Objective: 0.059656661635318284
INFO - 10:04:20: Design space:
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0.02168365804288068 | 0.03373617263374096 | float |
INFO - 10:04:20: | capacity | 0.0197359106291871 | 0.03177590897454181 | 0.3373617263374096 | float |
INFO - 10:04:20: | growth_rate | 0.001164389072031903 | 0.001164389072031903 | 0.01047950164828713 | float |
INFO - 10:04:20: | x_lag | 0 | 32000.28116160214 | 65120.39466286526 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 9.875584140481221 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 3.386124874121075 | 10 | float |
INFO - 10:04:20: +-----------------+----------------------+----------------------+---------------------+-------+
INFO - 10:04:20: *** End MDOScenario execution ***
USA {'left_asymptote': array([0.02168366]), 'capacity': array([0.03177591]), 'growth_rate': array([0.00116439]), 'x_lag': array([32000.2811616]), 'logistic_nu': array([9.87558414]), 'asymptote_coeff': array([3.38612487])}
INFO - 10:04:20: *** Start MDOScenario execution ***
INFO - 10:04:20: MDOScenario
INFO - 10:04:20: Disciplines: JAXChain
INFO - 10:04:20: MDO formulation: DisciplinaryOpt
INFO - 10:04:20: Optimization problem:
INFO - 10:04:20: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:20: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:20: over the design space:
INFO - 10:04:20: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0.007062594040458295 | 0.01870265673015475 | float |
INFO - 10:04:20: | capacity | 0.007062594040458295 | 0.01870265673015475 | 0.1870265673015475 | float |
INFO - 10:04:20: | growth_rate | 0.0002460408981902327 | 0.001230204490951164 | 0.002214368083712095 | float |
INFO - 10:04:20: | x_lag | 0 | 25219.11479963898 | 50438.22959927797 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 1 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 1 | 10 | float |
INFO - 10:04:20: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:20: Solving optimization problem with algorithm MultiStart:
INFO - 10:04:20: Optimization problem:
INFO - 10:04:20: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:20: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:20: over the design space:
INFO - 10:04:20: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0.01066356703605831 | 0.01870265673015475 | float |
INFO - 10:04:20: | capacity | 0.007062594040458295 | 0.08972300432623147 | 0.1870265673015475 | float |
INFO - 10:04:20: | growth_rate | 0.0002460408981902327 | 0.000385271113543132 | 0.002214368083712095 | float |
INFO - 10:04:20: | x_lag | 0 | 44931.79471178405 | 50438.22959927797 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 7.368669008241702 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 7.989486619901931 | 10 | float |
INFO - 10:04:20: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:20: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:20: Optimization result:
INFO - 10:04:20: Optimizer info:
INFO - 10:04:20: Status: None
INFO - 10:04:20: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:20: Solution:
INFO - 10:04:20: Objective: 0.9999999999994492
INFO - 10:04:20: Design space:
INFO - 10:04:20: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0 | 0.01870265673015475 | float |
INFO - 10:04:20: | capacity | 0.007062594040458295 | 0.007062594040458295 | 0.1870265673015475 | float |
INFO - 10:04:20: | growth_rate | 0.0002460408981902327 | 0.002214368083712095 | 0.002214368083712095 | float |
INFO - 10:04:20: | x_lag | 0 | 50438.22959927797 | 50438.22959927797 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:20: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:20: Optimization problem:
INFO - 10:04:20: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:20: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:20: over the design space:
INFO - 10:04:20: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0.006488522776419487 | 0.01870265673015475 | float |
INFO - 10:04:20: | capacity | 0.007062594040458295 | 0.03317712179292431 | 0.1870265673015475 | float |
INFO - 10:04:20: | growth_rate | 0.0002460408981902327 | 0.0005661627495895493 | 0.002214368083712095 | float |
INFO - 10:04:20: | x_lag | 0 | 32836.30845577514 | 50438.22959927797 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 0.5484496378270003 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 4.282038415160894 | 10 | float |
INFO - 10:04:20: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:20: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:20: 1%| | 2/250 [00:00<00:00, 458.47 it/sec, feas=True, obj=5.89]
INFO - 10:04:20: 1%| | 3/250 [00:00<00:00, 473.83 it/sec, feas=True, obj=0.402]
INFO - 10:04:20: 2%|▏ | 4/250 [00:00<00:00, 459.42 it/sec, feas=True, obj=0.2]
INFO - 10:04:20: 2%|▏ | 5/250 [00:00<00:00, 456.90 it/sec, feas=True, obj=1.46]
INFO - 10:04:20: 2%|▏ | 6/250 [00:00<00:00, 451.89 it/sec, feas=True, obj=0.173]
INFO - 10:04:20: 3%|▎ | 7/250 [00:00<00:00, 436.39 it/sec, feas=True, obj=0.157]
INFO - 10:04:20: 3%|▎ | 8/250 [00:00<00:00, 406.46 it/sec, feas=True, obj=0.127]
INFO - 10:04:20: 4%|▎ | 9/250 [00:00<00:00, 400.53 it/sec, feas=True, obj=0.0974]
INFO - 10:04:20: 4%|▍ | 10/250 [00:00<00:00, 396.67 it/sec, feas=True, obj=0.0833]
INFO - 10:04:20: 4%|▍ | 11/250 [00:00<00:00, 392.96 it/sec, feas=True, obj=0.0813]
INFO - 10:04:20: 5%|▍ | 12/250 [00:00<00:00, 390.18 it/sec, feas=True, obj=0.0797]
INFO - 10:04:20: 5%|▌ | 13/250 [00:00<00:00, 388.31 it/sec, feas=True, obj=0.0765]
INFO - 10:04:20: 6%|▌ | 14/250 [00:00<00:00, 370.53 it/sec, feas=True, obj=0.074]
INFO - 10:04:20: 6%|▌ | 15/250 [00:00<00:00, 367.82 it/sec, feas=True, obj=0.0633]
INFO - 10:04:20: 6%|▋ | 16/250 [00:00<00:00, 367.13 it/sec, feas=True, obj=0.0601]
INFO - 10:04:20: 7%|▋ | 17/250 [00:00<00:00, 363.58 it/sec, feas=True, obj=0.0769]
INFO - 10:04:20: 7%|▋ | 18/250 [00:00<00:00, 363.14 it/sec, feas=True, obj=0.0591]
INFO - 10:04:20: 8%|▊ | 19/250 [00:00<00:00, 360.65 it/sec, feas=True, obj=0.0646]
INFO - 10:04:20: 8%|▊ | 20/250 [00:00<00:00, 359.99 it/sec, feas=True, obj=0.0588]
INFO - 10:04:20: 8%|▊ | 21/250 [00:00<00:00, 359.59 it/sec, feas=True, obj=0.0605]
INFO - 10:04:20: 9%|▉ | 22/250 [00:00<00:00, 358.76 it/sec, feas=True, obj=0.0586]
INFO - 10:04:20: 9%|▉ | 23/250 [00:00<00:00, 358.59 it/sec, feas=True, obj=0.0581]
INFO - 10:04:20: 10%|▉ | 24/250 [00:00<00:00, 358.61 it/sec, feas=True, obj=0.0562]
INFO - 10:04:20: 10%|█ | 25/250 [00:00<00:00, 358.77 it/sec, feas=True, obj=0.0547]
INFO - 10:04:20: 10%|█ | 26/250 [00:00<00:00, 358.23 it/sec, feas=True, obj=0.0537]
INFO - 10:04:20: 11%|█ | 27/250 [00:00<00:00, 358.39 it/sec, feas=True, obj=0.0516]
INFO - 10:04:20: 11%|█ | 28/250 [00:00<00:00, 358.25 it/sec, feas=True, obj=0.0509]
INFO - 10:04:20: 12%|█▏ | 29/250 [00:00<00:00, 358.33 it/sec, feas=True, obj=0.0506]
INFO - 10:04:20: 12%|█▏ | 30/250 [00:00<00:00, 357.91 it/sec, feas=True, obj=0.0504]
INFO - 10:04:20: 12%|█▏ | 31/250 [00:00<00:00, 358.02 it/sec, feas=True, obj=0.0504]
INFO - 10:04:20: 13%|█▎ | 32/250 [00:00<00:00, 358.33 it/sec, feas=True, obj=0.0504]
INFO - 10:04:20: 13%|█▎ | 33/250 [00:00<00:00, 351.46 it/sec, feas=True, obj=0.0502]
INFO - 10:04:20: 14%|█▎ | 34/250 [00:00<00:00, 350.97 it/sec, feas=True, obj=0.05]
INFO - 10:04:20: 14%|█▍ | 35/250 [00:00<00:00, 350.79 it/sec, feas=True, obj=0.0499]
INFO - 10:04:20: 14%|█▍ | 36/250 [00:00<00:00, 348.97 it/sec, feas=True, obj=0.0577]
INFO - 10:04:20: 15%|█▍ | 37/250 [00:00<00:00, 346.89 it/sec, feas=True, obj=0.0498]
INFO - 10:04:20: 15%|█▌ | 38/250 [00:00<00:00, 346.82 it/sec, feas=True, obj=0.0496]
INFO - 10:04:20: 16%|█▌ | 39/250 [00:00<00:00, 346.99 it/sec, feas=True, obj=0.0494]
INFO - 10:04:20: 16%|█▌ | 40/250 [00:00<00:00, 347.17 it/sec, feas=True, obj=0.0492]
INFO - 10:04:20: 16%|█▋ | 41/250 [00:00<00:00, 346.61 it/sec, feas=True, obj=0.0491]
INFO - 10:04:20: 17%|█▋ | 42/250 [00:00<00:00, 346.85 it/sec, feas=True, obj=0.0489]
INFO - 10:04:20: 17%|█▋ | 43/250 [00:00<00:00, 346.75 it/sec, feas=True, obj=0.0486]
INFO - 10:04:20: 18%|█▊ | 44/250 [00:00<00:00, 347.13 it/sec, feas=True, obj=0.0491]
INFO - 10:04:20: 18%|█▊ | 45/250 [00:00<00:00, 344.56 it/sec, feas=True, obj=0.0486]
INFO - 10:04:20: 18%|█▊ | 46/250 [00:00<00:00, 344.49 it/sec, feas=True, obj=0.0484]
INFO - 10:04:20: 19%|█▉ | 47/250 [00:00<00:00, 344.48 it/sec, feas=True, obj=0.0483]
INFO - 10:04:20: 19%|█▉ | 48/250 [00:00<00:00, 344.49 it/sec, feas=True, obj=0.0482]
INFO - 10:04:20: 20%|█▉ | 49/250 [00:00<00:00, 344.33 it/sec, feas=True, obj=0.0482]
INFO - 10:04:20: 20%|██ | 50/250 [00:00<00:00, 344.29 it/sec, feas=True, obj=0.0482]
INFO - 10:04:20: 20%|██ | 51/250 [00:00<00:00, 344.57 it/sec, feas=True, obj=0.0481]
INFO - 10:04:20: 21%|██ | 52/250 [00:00<00:00, 344.83 it/sec, feas=True, obj=0.0481]
INFO - 10:04:20: 21%|██ | 53/250 [00:00<00:00, 345.16 it/sec, feas=True, obj=0.0481]
INFO - 10:04:20: 22%|██▏ | 54/250 [00:00<00:00, 345.52 it/sec, feas=True, obj=0.0481]
INFO - 10:04:20: 22%|██▏ | 55/250 [00:00<00:00, 345.72 it/sec, feas=True, obj=0.0481]
INFO - 10:04:20: 22%|██▏ | 56/250 [00:00<00:00, 345.67 it/sec, feas=True, obj=0.0481]
INFO - 10:04:20: 23%|██▎ | 57/250 [00:00<00:00, 345.96 it/sec, feas=True, obj=0.0481]
INFO - 10:04:20: 23%|██▎ | 58/250 [00:00<00:00, 345.94 it/sec, feas=True, obj=0.0481]
INFO - 10:04:20: 24%|██▎ | 59/250 [00:00<00:00, 346.25 it/sec, feas=True, obj=0.0481]
INFO - 10:04:20: 24%|██▍ | 60/250 [00:00<00:00, 346.28 it/sec, feas=True, obj=0.0481]
INFO - 10:04:20: 24%|██▍ | 61/250 [00:00<00:00, 346.04 it/sec, feas=True, obj=0.0481]
INFO - 10:04:20: Optimization result:
INFO - 10:04:20: Optimizer info:
INFO - 10:04:20: Status: 0
INFO - 10:04:20: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:20: Solution:
INFO - 10:04:20: Objective: 0.04808353141376327
INFO - 10:04:20: Design space:
INFO - 10:04:20: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0.005254625668633598 | 0.01870265673015475 | float |
INFO - 10:04:20: | capacity | 0.007062594040458295 | 0.02262155999075668 | 0.1870265673015475 | float |
INFO - 10:04:20: | growth_rate | 0.0002460408981902327 | 0.0002460408981902327 | 0.002214368083712095 | float |
INFO - 10:04:20: | x_lag | 0 | 36045.88826494994 | 50438.22959927797 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 3.912277765220948 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 4.71452400192525 | 10 | float |
INFO - 10:04:20: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:20: Optimization problem:
INFO - 10:04:20: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:20: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:20: over the design space:
INFO - 10:04:20: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0.01455181401786772 | 0.01870265673015475 | float |
INFO - 10:04:20: | capacity | 0.007062594040458295 | 0.06880870964682842 | 0.1870265673015475 | float |
INFO - 10:04:20: | growth_rate | 0.0002460408981902327 | 0.0006958499763469871 | 0.002214368083712095 | float |
INFO - 10:04:20: | x_lag | 0 | 8689.107373799008 | 50438.22959927797 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 4.260096820785328 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 9.734456184588874 | 10 | float |
INFO - 10:04:20: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:20: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:20: Optimization result:
INFO - 10:04:20: Optimizer info:
INFO - 10:04:20: Status: None
INFO - 10:04:20: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:20: Solution:
INFO - 10:04:20: Objective: 0.8049396559645753
INFO - 10:04:20: Design space:
INFO - 10:04:20: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0.002682033366415687 | 0.01870265673015475 | float |
INFO - 10:04:20: | capacity | 0.007062594040458295 | 0.007062594040458295 | 0.1870265673015475 | float |
INFO - 10:04:20: | growth_rate | 0.0002460408981902327 | 0.00160835002573278 | 0.002214368083712095 | float |
INFO - 10:04:20: | x_lag | 0 | 50438.22959927797 | 50438.22959927797 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:20: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:20: Optimization problem:
INFO - 10:04:20: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:20: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:20: over the design space:
INFO - 10:04:20: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:20: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:20: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:20: | left_asymptote | 0 | 0.007534833367981891 | 0.01870265673015475 | float |
INFO - 10:04:20: | capacity | 0.007062594040458295 | 0.09745534095383483 | 0.1870265673015475 | float |
INFO - 10:04:20: | growth_rate | 0.0002460408981902327 | 0.001454028832871838 | 0.002214368083712095 | float |
INFO - 10:04:20: | x_lag | 0 | 952.0313333946225 | 50438.22959927797 | float |
INFO - 10:04:20: | logistic_nu | 0.1 | 2.587510942749914 | 10 | float |
INFO - 10:04:20: | asymptote_coeff | 0.1 | 0.7930309738998174 | 10 | float |
INFO - 10:04:20: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:20: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:20: 1%| | 2/250 [00:00<00:00, 380.38 it/sec, feas=True, obj=0.399]
INFO - 10:04:20: 1%| | 3/250 [00:00<00:00, 391.88 it/sec, feas=True, obj=0.202]
INFO - 10:04:20: 2%|▏ | 4/250 [00:00<00:00, 326.78 it/sec, feas=True, obj=0.412]
INFO - 10:04:20: 2%|▏ | 5/250 [00:00<00:00, 334.59 it/sec, feas=True, obj=0.187]
INFO - 10:04:20: 2%|▏ | 6/250 [00:00<00:00, 337.93 it/sec, feas=True, obj=0.184]
INFO - 10:04:20: 3%|▎ | 7/250 [00:00<00:00, 329.48 it/sec, feas=True, obj=0.178]
INFO - 10:04:20: 3%|▎ | 8/250 [00:00<00:00, 333.52 it/sec, feas=True, obj=0.162]
INFO - 10:04:20: 4%|▎ | 9/250 [00:00<00:00, 335.47 it/sec, feas=True, obj=0.223]
INFO - 10:04:20: 4%|▍ | 10/250 [00:00<00:00, 337.66 it/sec, feas=True, obj=0.125]
INFO - 10:04:20: 4%|▍ | 11/250 [00:00<00:00, 340.16 it/sec, feas=True, obj=0.493]
INFO - 10:04:20: 5%|▍ | 12/250 [00:00<00:00, 342.41 it/sec, feas=True, obj=0.117]
INFO - 10:04:20: 5%|▌ | 13/250 [00:00<00:00, 344.14 it/sec, feas=True, obj=0.149]
INFO - 10:04:20: 6%|▌ | 14/250 [00:00<00:00, 345.56 it/sec, feas=True, obj=0.108]
INFO - 10:04:20: 6%|▌ | 15/250 [00:00<00:00, 346.83 it/sec, feas=True, obj=0.0955]
INFO - 10:04:20: 6%|▋ | 16/250 [00:00<00:00, 294.56 it/sec, feas=True, obj=0.0793]
INFO - 10:04:20: 7%|▋ | 17/250 [00:00<00:00, 286.35 it/sec, feas=True, obj=0.0668]
INFO - 10:04:20: 7%|▋ | 18/250 [00:00<00:00, 290.03 it/sec, feas=True, obj=0.0645]
INFO - 10:04:20: 8%|▊ | 19/250 [00:00<00:00, 293.25 it/sec, feas=True, obj=0.0634]
INFO - 10:04:20: 8%|▊ | 20/250 [00:00<00:00, 296.01 it/sec, feas=True, obj=0.0631]
INFO - 10:04:20: 8%|▊ | 21/250 [00:00<00:00, 298.91 it/sec, feas=True, obj=0.0629]
INFO - 10:04:20: 9%|▉ | 22/250 [00:00<00:00, 301.65 it/sec, feas=True, obj=0.0624]
INFO - 10:04:20: 9%|▉ | 23/250 [00:00<00:00, 303.97 it/sec, feas=True, obj=0.0596]
INFO - 10:04:20: 10%|▉ | 24/250 [00:00<00:00, 306.27 it/sec, feas=True, obj=0.0763]
INFO - 10:04:20: 10%|█ | 25/250 [00:00<00:00, 308.45 it/sec, feas=True, obj=0.0571]
INFO - 10:04:20: 10%|█ | 26/250 [00:00<00:00, 310.40 it/sec, feas=True, obj=0.153]
INFO - 10:04:20: 11%|█ | 27/250 [00:00<00:00, 312.27 it/sec, feas=True, obj=0.058]
INFO - 10:04:20: 11%|█ | 28/250 [00:00<00:00, 314.10 it/sec, feas=True, obj=0.057]
INFO - 10:04:20: 12%|█▏ | 29/250 [00:00<00:00, 315.55 it/sec, feas=True, obj=0.0549]
INFO - 10:04:20: 12%|█▏ | 30/250 [00:00<00:00, 315.52 it/sec, feas=True, obj=0.0846]
INFO - 10:04:20: 12%|█▏ | 31/250 [00:00<00:00, 316.99 it/sec, feas=True, obj=0.0715]
INFO - 10:04:20: 13%|█▎ | 32/250 [00:00<00:00, 318.23 it/sec, feas=True, obj=0.0549]
INFO - 10:04:20: 13%|█▎ | 33/250 [00:00<00:00, 319.55 it/sec, feas=True, obj=0.0543]
INFO - 10:04:20: 14%|█▎ | 34/250 [00:00<00:00, 320.87 it/sec, feas=True, obj=0.0956]
INFO - 10:04:20: 14%|█▍ | 35/250 [00:00<00:00, 322.01 it/sec, feas=True, obj=0.0544]
INFO - 10:04:20: 14%|█▍ | 36/250 [00:00<00:00, 323.02 it/sec, feas=True, obj=0.0542]
INFO - 10:04:20: 15%|█▍ | 37/250 [00:00<00:00, 318.29 it/sec, feas=True, obj=0.0791]
INFO - 10:04:20: 15%|█▌ | 38/250 [00:00<00:00, 319.38 it/sec, feas=True, obj=0.0532]
INFO - 10:04:20: 16%|█▌ | 39/250 [00:00<00:00, 320.45 it/sec, feas=True, obj=0.057]
INFO - 10:04:20: 16%|█▌ | 40/250 [00:00<00:00, 321.30 it/sec, feas=True, obj=0.0525]
INFO - 10:04:20: 16%|█▋ | 41/250 [00:00<00:00, 322.15 it/sec, feas=True, obj=0.0513]
INFO - 10:04:20: 17%|█▋ | 42/250 [00:00<00:00, 322.99 it/sec, feas=True, obj=0.0509]
INFO - 10:04:20: 17%|█▋ | 43/250 [00:00<00:00, 323.93 it/sec, feas=True, obj=0.051]
INFO - 10:04:20: 18%|█▊ | 44/250 [00:00<00:00, 324.69 it/sec, feas=True, obj=0.0506]
INFO - 10:04:20: 18%|█▊ | 45/250 [00:00<00:00, 325.31 it/sec, feas=True, obj=0.0499]
INFO - 10:04:20: 18%|█▊ | 46/250 [00:00<00:00, 321.18 it/sec, feas=True, obj=0.0532]
INFO - 10:04:20: 19%|█▉ | 47/250 [00:00<00:00, 322.06 it/sec, feas=True, obj=0.0498]
INFO - 10:04:20: 19%|█▉ | 48/250 [00:00<00:00, 322.71 it/sec, feas=True, obj=0.0497]
INFO - 10:04:20: 20%|█▉ | 49/250 [00:00<00:00, 323.12 it/sec, feas=True, obj=0.0496]
INFO - 10:04:20: 20%|██ | 50/250 [00:00<00:00, 323.86 it/sec, feas=True, obj=0.0495]
INFO - 10:04:20: 20%|██ | 51/250 [00:00<00:00, 324.76 it/sec, feas=True, obj=0.0495]
INFO - 10:04:20: 21%|██ | 52/250 [00:00<00:00, 325.05 it/sec, feas=True, obj=0.0495]
INFO - 10:04:20: 21%|██ | 53/250 [00:00<00:00, 325.43 it/sec, feas=True, obj=0.0494]
INFO - 10:04:20: 22%|██▏ | 54/250 [00:00<00:00, 326.02 it/sec, feas=True, obj=0.0493]
INFO - 10:04:20: 22%|██▏ | 55/250 [00:00<00:00, 323.02 it/sec, feas=True, obj=0.0493]
INFO - 10:04:20: 22%|██▏ | 56/250 [00:00<00:00, 323.51 it/sec, feas=True, obj=0.0493]
INFO - 10:04:20: 23%|██▎ | 57/250 [00:00<00:00, 323.81 it/sec, feas=True, obj=0.0492]
INFO - 10:04:20: 23%|██▎ | 58/250 [00:00<00:00, 324.15 it/sec, feas=True, obj=0.0492]
INFO - 10:04:20: 24%|██▎ | 59/250 [00:00<00:00, 324.50 it/sec, feas=True, obj=0.0492]
INFO - 10:04:20: 24%|██▍ | 60/250 [00:00<00:00, 324.87 it/sec, feas=True, obj=0.0493]
INFO - 10:04:20: 24%|██▍ | 61/250 [00:00<00:00, 325.21 it/sec, feas=True, obj=0.0492]
INFO - 10:04:20: 25%|██▍ | 62/250 [00:00<00:00, 325.54 it/sec, feas=True, obj=0.0491]
INFO - 10:04:20: 25%|██▌ | 63/250 [00:00<00:00, 325.88 it/sec, feas=True, obj=0.0491]
INFO - 10:04:20: 26%|██▌ | 64/250 [00:00<00:00, 326.45 it/sec, feas=True, obj=0.0491]
INFO - 10:04:20: 26%|██▌ | 65/250 [00:00<00:00, 326.72 it/sec, feas=True, obj=0.0491]
INFO - 10:04:20: 26%|██▋ | 66/250 [00:00<00:00, 326.98 it/sec, feas=True, obj=0.0491]
INFO - 10:04:20: 27%|██▋ | 67/250 [00:00<00:00, 327.13 it/sec, feas=True, obj=0.0491]
INFO - 10:04:20: 27%|██▋ | 68/250 [00:00<00:00, 327.29 it/sec, feas=True, obj=0.0491]
INFO - 10:04:20: 28%|██▊ | 69/250 [00:00<00:00, 327.47 it/sec, feas=True, obj=0.0491]
INFO - 10:04:20: 28%|██▊ | 70/250 [00:00<00:00, 327.65 it/sec, feas=True, obj=0.049]
INFO - 10:04:20: 28%|██▊ | 71/250 [00:00<00:00, 327.74 it/sec, feas=True, obj=0.049]
INFO - 10:04:20: 29%|██▉ | 72/250 [00:00<00:00, 327.88 it/sec, feas=True, obj=0.049]
INFO - 10:04:20: 29%|██▉ | 73/250 [00:00<00:00, 328.15 it/sec, feas=True, obj=0.0488]
INFO - 10:04:20: 30%|██▉ | 74/250 [00:00<00:00, 328.38 it/sec, feas=True, obj=0.0488]
INFO - 10:04:20: 30%|███ | 75/250 [00:00<00:00, 328.55 it/sec, feas=True, obj=0.0487]
INFO - 10:04:20: 30%|███ | 76/250 [00:00<00:00, 328.82 it/sec, feas=True, obj=0.0486]
INFO - 10:04:20: 31%|███ | 77/250 [00:00<00:00, 329.08 it/sec, feas=True, obj=0.0488]
INFO - 10:04:20: 31%|███ | 78/250 [00:00<00:00, 329.44 it/sec, feas=True, obj=0.0486]
INFO - 10:04:20: 32%|███▏ | 79/250 [00:00<00:00, 329.67 it/sec, feas=True, obj=0.0505]
INFO - 10:04:20: 32%|███▏ | 80/250 [00:00<00:00, 330.01 it/sec, feas=True, obj=0.0485]
INFO - 10:04:20: 32%|███▏ | 81/250 [00:00<00:00, 330.34 it/sec, feas=True, obj=0.0484]
INFO - 10:04:20: 33%|███▎ | 82/250 [00:00<00:00, 328.97 it/sec, feas=True, obj=0.0484]
INFO - 10:04:20: 33%|███▎ | 83/250 [00:00<00:00, 329.11 it/sec, feas=True, obj=0.0483]
INFO - 10:04:20: 34%|███▎ | 84/250 [00:00<00:00, 329.32 it/sec, feas=True, obj=0.0483]
INFO - 10:04:20: 34%|███▍ | 85/250 [00:00<00:00, 329.49 it/sec, feas=True, obj=0.0483]
INFO - 10:04:20: 34%|███▍ | 86/250 [00:00<00:00, 329.63 it/sec, feas=True, obj=0.0483]
INFO - 10:04:20: 35%|███▍ | 87/250 [00:00<00:00, 329.78 it/sec, feas=True, obj=0.0483]
INFO - 10:04:20: 35%|███▌ | 88/250 [00:00<00:00, 330.04 it/sec, feas=True, obj=0.0482]
INFO - 10:04:20: 36%|███▌ | 89/250 [00:00<00:00, 330.39 it/sec, feas=True, obj=0.0482]
INFO - 10:04:20: 36%|███▌ | 90/250 [00:00<00:00, 330.74 it/sec, feas=True, obj=0.0482]
INFO - 10:04:20: 36%|███▋ | 91/250 [00:00<00:00, 331.03 it/sec, feas=True, obj=0.0482]
INFO - 10:04:20: 37%|███▋ | 92/250 [00:00<00:00, 331.16 it/sec, feas=True, obj=0.0481]
INFO - 10:04:20: 37%|███▋ | 93/250 [00:00<00:00, 331.26 it/sec, feas=True, obj=0.0481]
INFO - 10:04:20: 38%|███▊ | 94/250 [00:00<00:00, 330.70 it/sec, feas=True, obj=0.0481]
INFO - 10:04:20: 38%|███▊ | 95/250 [00:00<00:00, 330.90 it/sec, feas=True, obj=0.385]
INFO - 10:04:20: 38%|███▊ | 96/250 [00:00<00:00, 330.99 it/sec, feas=True, obj=0.0481]
INFO - 10:04:20: 39%|███▉ | 97/250 [00:00<00:00, 331.18 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 39%|███▉ | 98/250 [00:00<00:00, 331.32 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 40%|███▉ | 99/250 [00:00<00:00, 331.60 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 40%|████ | 100/250 [00:00<00:00, 331.70 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 40%|████ | 101/250 [00:00<00:00, 331.09 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 41%|████ | 102/250 [00:00<00:00, 331.29 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 41%|████ | 103/250 [00:00<00:00, 331.51 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 42%|████▏ | 104/250 [00:00<00:00, 329.89 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 42%|████▏ | 105/250 [00:00<00:00, 329.99 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: Optimization result:
INFO - 10:04:21: Optimizer info:
INFO - 10:04:21: Status: None
INFO - 10:04:21: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:21: Solution:
INFO - 10:04:21: Objective: 0.04808353141807941
INFO - 10:04:21: Design space:
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.005254635190303068 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.02475453966106497 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.0002460408981902327 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 37887.79716744702 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 3.912252587121922 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 7.417495250837809 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: Optimization problem:
INFO - 10:04:21: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:21: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:21: over the design space:
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.00469636770406564 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.1781031332050284 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.001786725988235682 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 40193.62296482862 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 4.841685669245659 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 3.806533090469718 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:21: Optimization result:
INFO - 10:04:21: Optimizer info:
INFO - 10:04:21: Status: None
INFO - 10:04:21: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:21: Solution:
INFO - 10:04:21: Objective: 0.8505673226994495
INFO - 10:04:21: Design space:
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.002047870818683551 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.007062594040458295 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.001948421312443283 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 50438.22959927797 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: Optimization problem:
INFO - 10:04:21: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:21: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:21: over the design space:
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.01764425319154098 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.04288418217448717 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.001557189620893286 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 18290.36398569414 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 5.169901185402307 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 6.84670587772096 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:21: Optimization result:
INFO - 10:04:21: Optimizer info:
INFO - 10:04:21: Status: None
INFO - 10:04:21: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:21: Solution:
INFO - 10:04:21: Objective: 0.6133375988291213
INFO - 10:04:21: Design space:
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.005425200650997644 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.007062594040458295 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.001755771770008852 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 50438.22959927797 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 9.41181120334068 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: Optimization problem:
INFO - 10:04:21: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:21: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:21: over the design space:
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.01334408688905944 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.01334024248549706 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.001055279595331105 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 37062.90686109465 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 3.561734423309778 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 0.196786351209056 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:21: 1%| | 2/250 [00:00<00:01, 246.59 it/sec, feas=True, obj=11.6]
INFO - 10:04:21: 1%| | 3/250 [00:00<00:00, 287.02 it/sec, feas=True, obj=1.08]
INFO - 10:04:21: 2%|▏ | 4/250 [00:00<00:00, 303.51 it/sec, feas=True, obj=0.254]
INFO - 10:04:21: 2%|▏ | 5/250 [00:00<00:00, 315.52 it/sec, feas=True, obj=0.252]
INFO - 10:04:21: 2%|▏ | 6/250 [00:00<00:00, 322.89 it/sec, feas=True, obj=0.242]
INFO - 10:04:21: 3%|▎ | 7/250 [00:00<00:00, 329.09 it/sec, feas=True, obj=0.219]
INFO - 10:04:21: 3%|▎ | 8/250 [00:00<00:00, 316.84 it/sec, feas=True, obj=0.193]
INFO - 10:04:21: 4%|▎ | 9/250 [00:00<00:00, 320.83 it/sec, feas=True, obj=0.174]
INFO - 10:04:21: 4%|▍ | 10/250 [00:00<00:00, 323.22 it/sec, feas=True, obj=0.164]
INFO - 10:04:21: 4%|▍ | 11/250 [00:00<00:00, 325.23 it/sec, feas=True, obj=0.164]
INFO - 10:04:21: 5%|▍ | 12/250 [00:00<00:00, 327.38 it/sec, feas=True, obj=0.163]
INFO - 10:04:21: 5%|▌ | 13/250 [00:00<00:00, 329.02 it/sec, feas=True, obj=0.157]
INFO - 10:04:21: 6%|▌ | 14/250 [00:00<00:00, 330.61 it/sec, feas=True, obj=0.143]
INFO - 10:04:21: 6%|▌ | 15/250 [00:00<00:00, 333.04 it/sec, feas=True, obj=0.126]
INFO - 10:04:21: 6%|▋ | 16/250 [00:00<00:00, 334.17 it/sec, feas=True, obj=0.13]
INFO - 10:04:21: 7%|▋ | 17/250 [00:00<00:00, 334.93 it/sec, feas=True, obj=0.0835]
INFO - 10:04:21: 7%|▋ | 18/250 [00:00<00:00, 335.60 it/sec, feas=True, obj=0.0775]
INFO - 10:04:21: 8%|▊ | 19/250 [00:00<00:00, 335.71 it/sec, feas=True, obj=0.0775]
INFO - 10:04:21: 8%|▊ | 20/250 [00:00<00:00, 336.35 it/sec, feas=True, obj=0.0771]
INFO - 10:04:21: 8%|▊ | 21/250 [00:00<00:00, 337.01 it/sec, feas=True, obj=0.0771]
INFO - 10:04:21: 9%|▉ | 22/250 [00:00<00:00, 337.81 it/sec, feas=True, obj=0.077]
INFO - 10:04:21: 9%|▉ | 23/250 [00:00<00:00, 338.48 it/sec, feas=True, obj=0.0764]
INFO - 10:04:21: 10%|▉ | 24/250 [00:00<00:00, 339.34 it/sec, feas=True, obj=0.0746]
INFO - 10:04:21: 10%|█ | 25/250 [00:00<00:00, 340.02 it/sec, feas=True, obj=0.149]
INFO - 10:04:21: 10%|█ | 26/250 [00:00<00:00, 340.70 it/sec, feas=True, obj=0.0703]
INFO - 10:04:21: 11%|█ | 27/250 [00:00<00:00, 340.73 it/sec, feas=True, obj=0.0697]
INFO - 10:04:21: 11%|█ | 28/250 [00:00<00:00, 341.30 it/sec, feas=True, obj=0.0682]
INFO - 10:04:21: 12%|█▏ | 29/250 [00:00<00:00, 341.66 it/sec, feas=True, obj=0.0631]
INFO - 10:04:21: 12%|█▏ | 30/250 [00:00<00:00, 342.22 it/sec, feas=True, obj=0.0549]
INFO - 10:04:21: 12%|█▏ | 31/250 [00:00<00:00, 342.89 it/sec, feas=True, obj=0.0537]
INFO - 10:04:21: 13%|█▎ | 32/250 [00:00<00:00, 335.97 it/sec, feas=True, obj=0.0532]
INFO - 10:04:21: 13%|█▎ | 33/250 [00:00<00:00, 336.62 it/sec, feas=True, obj=0.0506]
INFO - 10:04:21: 14%|█▎ | 34/250 [00:00<00:00, 337.01 it/sec, feas=True, obj=0.0502]
INFO - 10:04:21: 14%|█▍ | 35/250 [00:00<00:00, 337.65 it/sec, feas=True, obj=0.0504]
INFO - 10:04:21: 14%|█▍ | 36/250 [00:00<00:00, 338.17 it/sec, feas=True, obj=0.0493]
INFO - 10:04:21: 15%|█▍ | 37/250 [00:00<00:00, 337.70 it/sec, feas=True, obj=0.0498]
INFO - 10:04:21: 15%|█▌ | 38/250 [00:00<00:00, 338.13 it/sec, feas=True, obj=0.0492]
INFO - 10:04:21: 16%|█▌ | 39/250 [00:00<00:00, 338.66 it/sec, feas=True, obj=0.0491]
INFO - 10:04:21: 16%|█▌ | 40/250 [00:00<00:00, 339.15 it/sec, feas=True, obj=0.0489]
INFO - 10:04:21: 16%|█▋ | 41/250 [00:00<00:00, 339.16 it/sec, feas=True, obj=0.0488]
INFO - 10:04:21: 17%|█▋ | 42/250 [00:00<00:00, 339.38 it/sec, feas=True, obj=0.0488]
INFO - 10:04:21: 17%|█▋ | 43/250 [00:00<00:00, 339.38 it/sec, feas=True, obj=0.0487]
INFO - 10:04:21: 18%|█▊ | 44/250 [00:00<00:00, 338.88 it/sec, feas=True, obj=0.0487]
INFO - 10:04:21: 18%|█▊ | 45/250 [00:00<00:00, 338.92 it/sec, feas=True, obj=0.0487]
INFO - 10:04:21: 18%|█▊ | 46/250 [00:00<00:00, 338.96 it/sec, feas=True, obj=0.0487]
INFO - 10:04:21: 19%|█▉ | 47/250 [00:00<00:00, 338.35 it/sec, feas=True, obj=0.0487]
INFO - 10:04:21: 19%|█▉ | 48/250 [00:00<00:00, 338.46 it/sec, feas=True, obj=0.0487]
INFO - 10:04:21: 20%|█▉ | 49/250 [00:00<00:00, 338.52 it/sec, feas=True, obj=0.0487]
INFO - 10:04:21: 20%|██ | 50/250 [00:00<00:00, 338.11 it/sec, feas=True, obj=0.0487]
INFO - 10:04:21: 20%|██ | 51/250 [00:00<00:00, 338.21 it/sec, feas=True, obj=0.0487]
INFO - 10:04:21: 21%|██ | 52/250 [00:00<00:00, 338.27 it/sec, feas=True, obj=0.0487]
INFO - 10:04:21: 21%|██ | 53/250 [00:00<00:00, 337.90 it/sec, feas=True, obj=0.0487]
INFO - 10:04:21: 22%|██▏ | 54/250 [00:00<00:00, 337.98 it/sec, feas=True, obj=0.0487]
INFO - 10:04:21: 22%|██▏ | 55/250 [00:00<00:00, 338.15 it/sec, feas=True, obj=0.0486]
INFO - 10:04:21: 22%|██▏ | 56/250 [00:00<00:00, 338.04 it/sec, feas=True, obj=0.0487]
INFO - 10:04:21: 23%|██▎ | 57/250 [00:00<00:00, 337.94 it/sec, feas=True, obj=0.0486]
INFO - 10:04:21: 23%|██▎ | 58/250 [00:00<00:00, 338.12 it/sec, feas=True, obj=0.0485]
INFO - 10:04:21: 24%|██▎ | 59/250 [00:00<00:00, 338.37 it/sec, feas=True, obj=0.0486]
INFO - 10:04:21: 24%|██▍ | 60/250 [00:00<00:00, 338.42 it/sec, feas=True, obj=0.0485]
INFO - 10:04:21: 24%|██▍ | 61/250 [00:00<00:00, 338.78 it/sec, feas=True, obj=0.0485]
INFO - 10:04:21: 25%|██▍ | 62/250 [00:00<00:00, 338.84 it/sec, feas=True, obj=0.0485]
INFO - 10:04:21: 25%|██▌ | 63/250 [00:00<00:00, 338.92 it/sec, feas=True, obj=0.0485]
INFO - 10:04:21: 26%|██▌ | 64/250 [00:00<00:00, 339.18 it/sec, feas=True, obj=0.0486]
INFO - 10:04:21: 26%|██▌ | 65/250 [00:00<00:00, 339.40 it/sec, feas=True, obj=0.0485]
INFO - 10:04:21: 26%|██▋ | 66/250 [00:00<00:00, 339.76 it/sec, feas=True, obj=0.0485]
INFO - 10:04:21: 27%|██▋ | 67/250 [00:00<00:00, 339.67 it/sec, feas=True, obj=0.0485]
INFO - 10:04:21: 27%|██▋ | 68/250 [00:00<00:00, 340.03 it/sec, feas=True, obj=0.0484]
INFO - 10:04:21: 28%|██▊ | 69/250 [00:00<00:00, 340.26 it/sec, feas=True, obj=0.0484]
INFO - 10:04:21: 28%|██▊ | 70/250 [00:00<00:00, 340.17 it/sec, feas=True, obj=0.0484]
INFO - 10:04:21: 28%|██▊ | 71/250 [00:00<00:00, 340.42 it/sec, feas=True, obj=0.0487]
INFO - 10:04:21: 29%|██▉ | 72/250 [00:00<00:00, 340.68 it/sec, feas=True, obj=0.0484]
INFO - 10:04:21: 29%|██▉ | 73/250 [00:00<00:00, 340.61 it/sec, feas=True, obj=0.0484]
INFO - 10:04:21: 30%|██▉ | 74/250 [00:00<00:00, 340.89 it/sec, feas=True, obj=0.0483]
INFO - 10:04:21: 30%|███ | 75/250 [00:00<00:00, 341.06 it/sec, feas=True, obj=0.0483]
INFO - 10:04:21: 30%|███ | 76/250 [00:00<00:00, 341.09 it/sec, feas=True, obj=0.0483]
INFO - 10:04:21: 31%|███ | 77/250 [00:00<00:00, 341.09 it/sec, feas=True, obj=0.0483]
INFO - 10:04:21: 31%|███ | 78/250 [00:00<00:00, 341.05 it/sec, feas=True, obj=0.0482]
INFO - 10:04:21: 32%|███▏ | 79/250 [00:00<00:00, 341.04 it/sec, feas=True, obj=0.0482]
INFO - 10:04:21: 32%|███▏ | 80/250 [00:00<00:00, 340.74 it/sec, feas=True, obj=0.0482]
INFO - 10:04:21: 32%|███▏ | 81/250 [00:00<00:00, 340.79 it/sec, feas=True, obj=0.0485]
INFO - 10:04:21: 33%|███▎ | 82/250 [00:00<00:00, 340.77 it/sec, feas=True, obj=0.0482]
INFO - 10:04:21: 33%|███▎ | 83/250 [00:00<00:00, 340.52 it/sec, feas=True, obj=0.0484]
INFO - 10:04:21: 34%|███▎ | 84/250 [00:00<00:00, 340.50 it/sec, feas=True, obj=0.0482]
INFO - 10:04:21: 34%|███▍ | 85/250 [00:00<00:00, 340.45 it/sec, feas=True, obj=0.0482]
INFO - 10:04:21: 34%|███▍ | 86/250 [00:00<00:00, 340.45 it/sec, feas=True, obj=0.0482]
INFO - 10:04:21: 35%|███▍ | 87/250 [00:00<00:00, 340.18 it/sec, feas=True, obj=0.0482]
INFO - 10:04:21: 35%|███▌ | 88/250 [00:00<00:00, 340.19 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 36%|███▌ | 89/250 [00:00<00:00, 340.21 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 36%|███▌ | 90/250 [00:00<00:00, 339.96 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 36%|███▋ | 91/250 [00:00<00:00, 339.95 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 37%|███▋ | 92/250 [00:00<00:00, 339.95 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 37%|███▋ | 93/250 [00:00<00:00, 339.48 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 38%|███▊ | 94/250 [00:00<00:00, 339.52 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 38%|███▊ | 95/250 [00:00<00:00, 339.49 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 38%|███▊ | 96/250 [00:00<00:00, 339.26 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 39%|███▉ | 97/250 [00:00<00:00, 339.21 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 39%|███▉ | 98/250 [00:00<00:00, 338.30 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 40%|███▉ | 99/250 [00:00<00:00, 337.76 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: Optimization result:
INFO - 10:04:21: Optimizer info:
INFO - 10:04:21: Status: 0
INFO - 10:04:21: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:21: Solution:
INFO - 10:04:21: Objective: 0.04808353141358592
INFO - 10:04:21: Design space:
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.005254645847684218 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.01421934820183187 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.0002460408981902327 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 25531.06728436966 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 3.912262567164229 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 0.3547203313056617 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: Optimization problem:
INFO - 10:04:21: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:21: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:21: over the design space:
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.004368509715540314 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.1425428949120231 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.001324416235144429 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 20186.22439232938 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 1.584139511566824 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 8.646435449387221 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:21: 1%| | 2/250 [00:00<00:00, 378.33 it/sec, feas=True, obj=1]
INFO - 10:04:21: 1%| | 3/250 [00:00<00:00, 392.10 it/sec, feas=True, obj=0.936]
INFO - 10:04:21: 2%|▏ | 4/250 [00:00<00:00, 377.22 it/sec, feas=True, obj=0.688]
INFO - 10:04:21: 2%|▏ | 5/250 [00:00<00:00, 373.17 it/sec, feas=True, obj=0.314]
INFO - 10:04:21: 2%|▏ | 6/250 [00:00<00:00, 370.72 it/sec, feas=True, obj=0.309]
INFO - 10:04:21: 3%|▎ | 7/250 [00:00<00:00, 367.14 it/sec, feas=True, obj=0.296]
INFO - 10:04:21: 3%|▎ | 8/250 [00:00<00:00, 363.78 it/sec, feas=True, obj=0.296]
INFO - 10:04:21: 4%|▎ | 9/250 [00:00<00:00, 361.74 it/sec, feas=True, obj=0.296]
INFO - 10:04:21: 4%|▍ | 10/250 [00:00<00:00, 360.25 it/sec, feas=True, obj=0.296]
INFO - 10:04:21: 4%|▍ | 11/250 [00:00<00:00, 358.69 it/sec, feas=True, obj=0.296]
INFO - 10:04:21: Optimization result:
INFO - 10:04:21: Optimizer info:
INFO - 10:04:21: Status: None
INFO - 10:04:21: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:21: Solution:
INFO - 10:04:21: Objective: 0.2960434938841542
INFO - 10:04:21: Design space:
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.01239674358595011 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.1870265673015475 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.001290705689980194 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 11325.54465203634 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 0.1000265642008823 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 8.392799145468604 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: Optimization problem:
INFO - 10:04:21: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:21: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:21: over the design space:
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.002735328115589443 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.1085357673603492 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.0003363249402200307 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 17600.97295143954 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 3.881851228413161 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 5.404868117632494 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:21: Optimization result:
INFO - 10:04:21: Optimizer info:
INFO - 10:04:21: Status: None
INFO - 10:04:21: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:21: Solution:
INFO - 10:04:21: Objective: 0.9999999999994492
INFO - 10:04:21: Design space:
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.007062594040458295 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.002214368083712095 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 50438.22959927797 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: Optimization problem:
INFO - 10:04:21: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:21: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:21: over the design space:
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.01573825517972171 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.1728245409871149 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.0005308864792792174 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 23743.57951844694 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 8.234739433018818 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 3.408753901197628 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:21: Optimization result:
INFO - 10:04:21: Optimizer info:
INFO - 10:04:21: Status: None
INFO - 10:04:21: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:21: Solution:
INFO - 10:04:21: Objective: 0.4053627076610549
INFO - 10:04:21: Design space:
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.008802909255913862 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.007062594040458295 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.002214368083712095 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 50438.22959927797 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: Optimization problem:
INFO - 10:04:21: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:21: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:21: over the design space:
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.01802905082441392 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.08113991248432076 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.001226330591046099 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 41646.29555033903 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 8.81154772732992 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 4.60272431489444 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:21: 1%| | 2/250 [00:00<00:00, 364.17 it/sec, feas=True, obj=0.388]
INFO - 10:04:21: 1%| | 3/250 [00:00<00:00, 379.29 it/sec, feas=True, obj=0.298]
INFO - 10:04:21: 2%|▏ | 4/250 [00:00<00:00, 367.27 it/sec, feas=True, obj=0.286]
INFO - 10:04:21: 2%|▏ | 5/250 [00:00<00:00, 360.81 it/sec, feas=True, obj=0.279]
INFO - 10:04:21: 2%|▏ | 6/250 [00:00<00:00, 360.67 it/sec, feas=True, obj=1.5]
INFO - 10:04:21: 3%|▎ | 7/250 [00:00<00:00, 356.32 it/sec, feas=True, obj=0.273]
INFO - 10:04:21: 3%|▎ | 8/250 [00:00<00:00, 353.51 it/sec, feas=True, obj=0.347]
INFO - 10:04:21: 4%|▎ | 9/250 [00:00<00:00, 353.42 it/sec, feas=True, obj=0.253]
INFO - 10:04:21: 4%|▍ | 10/250 [00:00<00:00, 352.47 it/sec, feas=True, obj=0.245]
INFO - 10:04:21: 4%|▍ | 11/250 [00:00<00:00, 353.86 it/sec, feas=True, obj=1.25]
INFO - 10:04:21: 5%|▍ | 12/250 [00:00<00:00, 347.73 it/sec, feas=True, obj=0.27]
INFO - 10:04:21: 5%|▌ | 13/250 [00:00<00:00, 349.55 it/sec, feas=True, obj=0.24]
INFO - 10:04:21: 6%|▌ | 14/250 [00:00<00:00, 350.56 it/sec, feas=True, obj=0.21]
INFO - 10:04:21: 6%|▌ | 15/250 [00:00<00:00, 344.53 it/sec, feas=True, obj=0.3]
INFO - 10:04:21: 6%|▋ | 16/250 [00:00<00:00, 345.72 it/sec, feas=True, obj=0.2]
INFO - 10:04:21: 7%|▋ | 17/250 [00:00<00:00, 346.23 it/sec, feas=True, obj=0.184]
INFO - 10:04:21: 7%|▋ | 18/250 [00:00<00:00, 346.03 it/sec, feas=True, obj=0.176]
INFO - 10:04:21: 8%|▊ | 19/250 [00:00<00:00, 346.58 it/sec, feas=True, obj=0.175]
INFO - 10:04:21: 8%|▊ | 20/250 [00:00<00:00, 347.47 it/sec, feas=True, obj=0.172]
INFO - 10:04:21: 8%|▊ | 21/250 [00:00<00:00, 347.74 it/sec, feas=True, obj=0.144]
INFO - 10:04:21: 9%|▉ | 22/250 [00:00<00:00, 348.23 it/sec, feas=True, obj=0.194]
INFO - 10:04:21: 9%|▉ | 23/250 [00:00<00:00, 348.69 it/sec, feas=True, obj=0.0948]
INFO - 10:04:21: 10%|▉ | 24/250 [00:00<00:00, 349.33 it/sec, feas=True, obj=0.199]
INFO - 10:04:21: 10%|█ | 25/250 [00:00<00:00, 349.68 it/sec, feas=True, obj=0.093]
INFO - 10:04:21: 10%|█ | 26/250 [00:00<00:00, 350.38 it/sec, feas=True, obj=0.109]
INFO - 10:04:21: 11%|█ | 27/250 [00:00<00:00, 350.61 it/sec, feas=True, obj=0.0889]
INFO - 10:04:21: 11%|█ | 28/250 [00:00<00:00, 350.64 it/sec, feas=True, obj=0.0878]
INFO - 10:04:21: 12%|█▏ | 29/250 [00:00<00:00, 351.08 it/sec, feas=True, obj=0.0872]
INFO - 10:04:21: 12%|█▏ | 30/250 [00:00<00:00, 351.46 it/sec, feas=True, obj=0.0869]
INFO - 10:04:21: 12%|█▏ | 31/250 [00:00<00:00, 351.51 it/sec, feas=True, obj=0.0865]
INFO - 10:04:21: 13%|█▎ | 32/250 [00:00<00:00, 351.75 it/sec, feas=True, obj=0.0852]
INFO - 10:04:21: 13%|█▎ | 33/250 [00:00<00:00, 352.15 it/sec, feas=True, obj=0.0841]
INFO - 10:04:21: 14%|█▎ | 34/250 [00:00<00:00, 352.41 it/sec, feas=True, obj=0.0805]
INFO - 10:04:21: 14%|█▍ | 35/250 [00:00<00:00, 349.39 it/sec, feas=True, obj=0.0754]
INFO - 10:04:21: 14%|█▍ | 36/250 [00:00<00:00, 349.46 it/sec, feas=True, obj=0.066]
INFO - 10:04:21: 15%|█▍ | 37/250 [00:00<00:00, 349.90 it/sec, feas=True, obj=0.0819]
INFO - 10:04:21: 15%|█▌ | 38/250 [00:00<00:00, 350.43 it/sec, feas=True, obj=0.0714]
INFO - 10:04:21: 16%|█▌ | 39/250 [00:00<00:00, 350.68 it/sec, feas=True, obj=0.0616]
INFO - 10:04:21: 16%|█▌ | 40/250 [00:00<00:00, 351.00 it/sec, feas=True, obj=0.0615]
INFO - 10:04:21: 16%|█▋ | 41/250 [00:00<00:00, 350.58 it/sec, feas=True, obj=0.0565]
INFO - 10:04:21: 17%|█▋ | 42/250 [00:00<00:00, 350.22 it/sec, feas=True, obj=0.0554]
INFO - 10:04:21: 17%|█▋ | 43/250 [00:00<00:00, 350.39 it/sec, feas=True, obj=0.0551]
INFO - 10:04:21: 18%|█▊ | 44/250 [00:00<00:00, 350.04 it/sec, feas=True, obj=0.0545]
INFO - 10:04:21: 18%|█▊ | 45/250 [00:00<00:00, 349.43 it/sec, feas=True, obj=0.0969]
INFO - 10:04:21: 18%|█▊ | 46/250 [00:00<00:00, 346.66 it/sec, feas=True, obj=0.055]
INFO - 10:04:21: 19%|█▉ | 47/250 [00:00<00:00, 346.83 it/sec, feas=True, obj=0.0538]
INFO - 10:04:21: 19%|█▉ | 48/250 [00:00<00:00, 346.93 it/sec, feas=True, obj=0.0641]
INFO - 10:04:21: 20%|█▉ | 49/250 [00:00<00:00, 346.63 it/sec, feas=True, obj=0.0521]
INFO - 10:04:21: 20%|██ | 50/250 [00:00<00:00, 346.93 it/sec, feas=True, obj=0.135]
INFO - 10:04:21: 20%|██ | 51/250 [00:00<00:00, 347.09 it/sec, feas=True, obj=0.0511]
INFO - 10:04:21: 21%|██ | 52/250 [00:00<00:00, 346.92 it/sec, feas=True, obj=0.145]
INFO - 10:04:21: 21%|██ | 53/250 [00:00<00:00, 346.45 it/sec, feas=True, obj=0.0508]
INFO - 10:04:21: 22%|██▏ | 54/250 [00:00<00:00, 346.70 it/sec, feas=True, obj=0.0669]
INFO - 10:04:21: 22%|██▏ | 55/250 [00:00<00:00, 346.75 it/sec, feas=True, obj=0.0505]
INFO - 10:04:21: 22%|██▏ | 56/250 [00:00<00:00, 346.67 it/sec, feas=True, obj=0.0503]
INFO - 10:04:21: 23%|██▎ | 57/250 [00:00<00:00, 346.52 it/sec, feas=True, obj=0.0501]
INFO - 10:04:21: 23%|██▎ | 58/250 [00:00<00:00, 346.67 it/sec, feas=True, obj=0.0499]
INFO - 10:04:21: 24%|██▎ | 59/250 [00:00<00:00, 346.78 it/sec, feas=True, obj=0.05]
INFO - 10:04:21: 24%|██▍ | 60/250 [00:00<00:00, 346.85 it/sec, feas=True, obj=0.0497]
INFO - 10:04:21: 24%|██▍ | 61/250 [00:00<00:00, 346.87 it/sec, feas=True, obj=0.0495]
INFO - 10:04:21: 25%|██▍ | 62/250 [00:00<00:00, 346.88 it/sec, feas=True, obj=0.049]
INFO - 10:04:21: 25%|██▌ | 63/250 [00:00<00:00, 347.26 it/sec, feas=True, obj=0.0506]
INFO - 10:04:21: 26%|██▌ | 64/250 [00:00<00:00, 347.47 it/sec, feas=True, obj=0.0489]
INFO - 10:04:21: 26%|██▌ | 65/250 [00:00<00:00, 347.54 it/sec, feas=True, obj=0.049]
INFO - 10:04:21: 26%|██▋ | 66/250 [00:00<00:00, 347.48 it/sec, feas=True, obj=0.0488]
INFO - 10:04:21: 27%|██▋ | 67/250 [00:00<00:00, 347.39 it/sec, feas=True, obj=0.0486]
INFO - 10:04:21: 27%|██▋ | 68/250 [00:00<00:00, 347.50 it/sec, feas=True, obj=0.0492]
INFO - 10:04:21: 28%|██▊ | 69/250 [00:00<00:00, 347.49 it/sec, feas=True, obj=0.0486]
INFO - 10:04:21: 28%|██▊ | 70/250 [00:00<00:00, 347.43 it/sec, feas=True, obj=0.0485]
INFO - 10:04:21: 28%|██▊ | 71/250 [00:00<00:00, 347.47 it/sec, feas=True, obj=0.0485]
INFO - 10:04:21: 29%|██▉ | 72/250 [00:00<00:00, 347.61 it/sec, feas=True, obj=0.0485]
INFO - 10:04:21: 29%|██▉ | 73/250 [00:00<00:00, 347.37 it/sec, feas=True, obj=0.0485]
INFO - 10:04:21: 30%|██▉ | 74/250 [00:00<00:00, 347.28 it/sec, feas=True, obj=0.0484]
INFO - 10:04:21: 30%|███ | 75/250 [00:00<00:00, 347.33 it/sec, feas=True, obj=0.0483]
INFO - 10:04:21: 30%|███ | 76/250 [00:00<00:00, 347.32 it/sec, feas=True, obj=0.0482]
INFO - 10:04:21: 31%|███ | 77/250 [00:00<00:00, 347.33 it/sec, feas=True, obj=0.0482]
INFO - 10:04:21: 31%|███ | 78/250 [00:00<00:00, 347.32 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 32%|███▏ | 79/250 [00:00<00:00, 347.36 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 32%|███▏ | 80/250 [00:00<00:00, 347.33 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 32%|███▏ | 81/250 [00:00<00:00, 347.34 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 33%|███▎ | 82/250 [00:00<00:00, 347.34 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 33%|███▎ | 83/250 [00:00<00:00, 347.34 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 34%|███▎ | 84/250 [00:00<00:00, 347.33 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 34%|███▍ | 85/250 [00:00<00:00, 347.36 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 34%|███▍ | 86/250 [00:00<00:00, 347.57 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 35%|███▍ | 87/250 [00:00<00:00, 347.60 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: Optimization result:
INFO - 10:04:21: Optimizer info:
INFO - 10:04:21: Status: None
INFO - 10:04:21: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:21: Solution:
INFO - 10:04:21: Objective: 0.0480835314137496
INFO - 10:04:21: Design space:
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.005254651678107756 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.02058993879625919 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.0002460408981902327 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 34067.61347838413 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 3.912253372821147 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 2.897701291921947 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: Optimization problem:
INFO - 10:04:21: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:21: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:21: over the design space:
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.006953656502493798 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.0570351134051649 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.0009790665094514305 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 14517.65830681086 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 9.197003967850243 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 2.224733400313706 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:21: 1%| | 2/250 [00:00<00:00, 390.93 it/sec, feas=True, obj=0.83]
INFO - 10:04:21: 1%| | 3/250 [00:00<00:00, 405.27 it/sec, feas=True, obj=0.685]
INFO - 10:04:21: 2%|▏ | 4/250 [00:00<00:00, 395.40 it/sec, feas=True, obj=0.323]
INFO - 10:04:21: 2%|▏ | 5/250 [00:00<00:00, 390.50 it/sec, feas=True, obj=2.17]
INFO - 10:04:21: 2%|▏ | 6/250 [00:00<00:00, 386.82 it/sec, feas=True, obj=0.349]
INFO - 10:04:21: 3%|▎ | 7/250 [00:00<00:00, 384.16 it/sec, feas=True, obj=0.233]
INFO - 10:04:21: 3%|▎ | 8/250 [00:00<00:00, 382.16 it/sec, feas=True, obj=0.105]
INFO - 10:04:21: 4%|▎ | 9/250 [00:00<00:00, 381.21 it/sec, feas=True, obj=0.471]
INFO - 10:04:21: 4%|▍ | 10/250 [00:00<00:00, 379.34 it/sec, feas=True, obj=0.0874]
INFO - 10:04:21: 4%|▍ | 11/250 [00:00<00:00, 377.55 it/sec, feas=True, obj=0.0863]
INFO - 10:04:21: 5%|▍ | 12/250 [00:00<00:00, 377.11 it/sec, feas=True, obj=0.0855]
INFO - 10:04:21: 5%|▌ | 13/250 [00:00<00:00, 376.29 it/sec, feas=True, obj=0.0854]
INFO - 10:04:21: 6%|▌ | 14/250 [00:00<00:00, 375.57 it/sec, feas=True, obj=0.085]
INFO - 10:04:21: 6%|▌ | 15/250 [00:00<00:00, 375.02 it/sec, feas=True, obj=0.0835]
INFO - 10:04:21: 6%|▋ | 16/250 [00:00<00:00, 375.03 it/sec, feas=True, obj=0.0772]
INFO - 10:04:21: 7%|▋ | 17/250 [00:00<00:00, 374.58 it/sec, feas=True, obj=0.0786]
INFO - 10:04:21: 7%|▋ | 18/250 [00:00<00:00, 374.31 it/sec, feas=True, obj=0.0767]
INFO - 10:04:21: 8%|▊ | 19/250 [00:00<00:00, 374.20 it/sec, feas=True, obj=0.0765]
INFO - 10:04:21: 8%|▊ | 20/250 [00:00<00:00, 338.52 it/sec, feas=True, obj=0.0764]
INFO - 10:04:21: 8%|▊ | 21/250 [00:00<00:00, 295.47 it/sec, feas=True, obj=0.0761]
INFO - 10:04:21: 9%|▉ | 22/250 [00:00<00:00, 268.09 it/sec, feas=True, obj=0.0747]
INFO - 10:04:21: 9%|▉ | 23/250 [00:00<00:00, 264.76 it/sec, feas=True, obj=0.0718]
INFO - 10:04:21: 10%|▉ | 24/250 [00:00<00:00, 267.78 it/sec, feas=True, obj=0.129]
INFO - 10:04:21: 10%|█ | 25/250 [00:00<00:00, 270.51 it/sec, feas=True, obj=0.0688]
INFO - 10:04:21: 10%|█ | 26/250 [00:00<00:00, 273.11 it/sec, feas=True, obj=0.0663]
INFO - 10:04:21: 11%|█ | 27/250 [00:00<00:00, 275.43 it/sec, feas=True, obj=0.0637]
INFO - 10:04:21: 11%|█ | 28/250 [00:00<00:00, 277.51 it/sec, feas=True, obj=0.0617]
INFO - 10:04:21: 12%|█▏ | 29/250 [00:00<00:00, 279.74 it/sec, feas=True, obj=0.0611]
INFO - 10:04:21: 12%|█▏ | 30/250 [00:00<00:00, 281.43 it/sec, feas=True, obj=0.0608]
INFO - 10:04:21: 12%|█▏ | 31/250 [00:00<00:00, 279.19 it/sec, feas=True, obj=0.0599]
INFO - 10:04:21: 13%|█▎ | 32/250 [00:00<00:00, 280.75 it/sec, feas=True, obj=0.0795]
INFO - 10:04:21: 13%|█▎ | 33/250 [00:00<00:00, 282.32 it/sec, feas=True, obj=0.0565]
INFO - 10:04:21: 14%|█▎ | 34/250 [00:00<00:00, 284.22 it/sec, feas=True, obj=0.149]
INFO - 10:04:21: 14%|█▍ | 35/250 [00:00<00:00, 285.88 it/sec, feas=True, obj=0.0551]
INFO - 10:04:21: 14%|█▍ | 36/250 [00:00<00:00, 287.34 it/sec, feas=True, obj=0.103]
INFO - 10:04:21: 15%|█▍ | 37/250 [00:00<00:00, 288.88 it/sec, feas=True, obj=0.0548]
INFO - 10:04:21: 15%|█▌ | 38/250 [00:00<00:00, 290.63 it/sec, feas=True, obj=0.0904]
INFO - 10:04:21: 16%|█▌ | 39/250 [00:00<00:00, 291.88 it/sec, feas=True, obj=0.0526]
INFO - 10:04:21: 16%|█▌ | 40/250 [00:00<00:00, 293.09 it/sec, feas=True, obj=0.0528]
INFO - 10:04:21: 16%|█▋ | 41/250 [00:00<00:00, 293.89 it/sec, feas=True, obj=0.0519]
INFO - 10:04:21: 17%|█▋ | 42/250 [00:00<00:00, 295.00 it/sec, feas=True, obj=0.0596]
INFO - 10:04:21: 17%|█▋ | 43/250 [00:00<00:00, 295.77 it/sec, feas=True, obj=0.0513]
INFO - 10:04:21: 18%|█▊ | 44/250 [00:00<00:00, 296.98 it/sec, feas=True, obj=0.0505]
INFO - 10:04:21: 18%|█▊ | 45/250 [00:00<00:00, 298.33 it/sec, feas=True, obj=0.091]
INFO - 10:04:21: 18%|█▊ | 46/250 [00:00<00:00, 299.22 it/sec, feas=True, obj=0.0495]
INFO - 10:04:21: 19%|█▉ | 47/250 [00:00<00:00, 300.16 it/sec, feas=True, obj=0.135]
INFO - 10:04:21: 19%|█▉ | 48/250 [00:00<00:00, 300.95 it/sec, feas=True, obj=0.0494]
INFO - 10:04:21: 20%|█▉ | 49/250 [00:00<00:00, 301.72 it/sec, feas=True, obj=0.0724]
INFO - 10:04:21: 20%|██ | 50/250 [00:00<00:00, 302.60 it/sec, feas=True, obj=0.0494]
INFO - 10:04:21: 20%|██ | 51/250 [00:00<00:00, 303.39 it/sec, feas=True, obj=0.0635]
INFO - 10:04:21: 21%|██ | 52/250 [00:00<00:00, 304.41 it/sec, feas=True, obj=0.0494]
INFO - 10:04:21: 21%|██ | 53/250 [00:00<00:00, 305.37 it/sec, feas=True, obj=0.0626]
INFO - 10:04:21: 22%|██▏ | 54/250 [00:00<00:00, 306.22 it/sec, feas=True, obj=0.0494]
INFO - 10:04:21: 22%|██▏ | 55/250 [00:00<00:00, 307.16 it/sec, feas=True, obj=0.0605]
INFO - 10:04:21: 22%|██▏ | 56/250 [00:00<00:00, 308.03 it/sec, feas=True, obj=0.0494]
INFO - 10:04:21: 23%|██▎ | 57/250 [00:00<00:00, 308.68 it/sec, feas=True, obj=0.0599]
INFO - 10:04:21: 23%|██▎ | 58/250 [00:00<00:00, 309.44 it/sec, feas=True, obj=0.0494]
INFO - 10:04:21: 24%|██▎ | 59/250 [00:00<00:00, 310.22 it/sec, feas=True, obj=0.0563]
INFO - 10:04:21: 24%|██▍ | 60/250 [00:00<00:00, 310.89 it/sec, feas=True, obj=0.0494]
INFO - 10:04:21: 24%|██▍ | 61/250 [00:00<00:00, 308.05 it/sec, feas=True, obj=0.0482]
INFO - 10:04:21: 25%|██▍ | 62/250 [00:00<00:00, 308.88 it/sec, feas=True, obj=0.0498]
INFO - 10:04:21: 25%|██▌ | 63/250 [00:00<00:00, 309.37 it/sec, feas=True, obj=0.0482]
INFO - 10:04:21: 26%|██▌ | 64/250 [00:00<00:00, 310.08 it/sec, feas=True, obj=0.0483]
INFO - 10:04:21: 26%|██▌ | 65/250 [00:00<00:00, 310.78 it/sec, feas=True, obj=0.0482]
INFO - 10:04:21: 26%|██▋ | 66/250 [00:00<00:00, 309.84 it/sec, feas=True, obj=0.0482]
INFO - 10:04:21: 27%|██▋ | 67/250 [00:00<00:00, 310.47 it/sec, feas=True, obj=0.0482]
INFO - 10:04:21: 27%|██▋ | 68/250 [00:00<00:00, 310.92 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 28%|██▊ | 69/250 [00:00<00:00, 311.34 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 28%|██▊ | 70/250 [00:00<00:00, 311.68 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 28%|██▊ | 71/250 [00:00<00:00, 312.05 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 29%|██▉ | 72/250 [00:00<00:00, 312.45 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 29%|██▉ | 73/250 [00:00<00:00, 312.82 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 30%|██▉ | 74/250 [00:00<00:00, 313.21 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: 30%|███ | 75/250 [00:00<00:00, 313.60 it/sec, feas=True, obj=0.0481]
INFO - 10:04:21: Optimization result:
INFO - 10:04:21: Optimizer info:
INFO - 10:04:21: Status: None
INFO - 10:04:21: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:21: Solution:
INFO - 10:04:21: Objective: 0.04808353141358822
INFO - 10:04:21: Design space:
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.005254644995462235 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.01588449934556684 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.0002460408981902327 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 28240.12193014761 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 3.912263301895943 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 0.6908118889321022 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: Optimization problem:
INFO - 10:04:21: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:21: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:21: over the design space:
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.008684263168084376 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.07024531310569079 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.002090004960574207 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 47203.05071952677 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 2.425630286446258 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 7.080730934612159 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:21: Optimization result:
INFO - 10:04:21: Optimizer info:
INFO - 10:04:21: Status: None
INFO - 10:04:21: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:21: Solution:
INFO - 10:04:21: Objective: 0.487242272351116
INFO - 10:04:21: Design space:
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.008684263168084376 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.07024531310569079 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.002090004960574207 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 47203.05071952677 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 2.425630286446258 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 7.080730934612159 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: Optimization problem:
INFO - 10:04:21: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:21: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:21: over the design space:
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.01229665359979004 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.164476899324128 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.0008529816351663278 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 4587.836156971408 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 1.720671591034137 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 6.258728338364227 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:21: 1%| | 2/250 [00:00<00:00, 378.74 it/sec, feas=True, obj=1]
INFO - 10:04:21: 1%| | 3/250 [00:00<00:00, 388.63 it/sec, feas=True, obj=0.853]
INFO - 10:04:21: 2%|▏ | 4/250 [00:00<00:00, 381.93 it/sec, feas=True, obj=0.347]
INFO - 10:04:21: 2%|▏ | 5/250 [00:00<00:00, 374.81 it/sec, feas=True, obj=0.569]
INFO - 10:04:21: 2%|▏ | 6/250 [00:00<00:00, 370.45 it/sec, feas=True, obj=0.297]
INFO - 10:04:21: 3%|▎ | 7/250 [00:00<00:00, 368.00 it/sec, feas=True, obj=0.296]
INFO - 10:04:21: 3%|▎ | 8/250 [00:00<00:00, 365.59 it/sec, feas=True, obj=0.296]
INFO - 10:04:21: 4%|▎ | 9/250 [00:00<00:00, 366.25 it/sec, feas=True, obj=0.296]
INFO - 10:04:21: 4%|▍ | 10/250 [00:00<00:00, 364.39 it/sec, feas=True, obj=0.296]
INFO - 10:04:21: Optimization result:
INFO - 10:04:21: Optimizer info:
INFO - 10:04:21: Status: None
INFO - 10:04:21: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:21: Solution:
INFO - 10:04:21: Objective: 0.2960434877548276
INFO - 10:04:21: Design space:
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.01239676161512623 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.1223191744337895 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.0009163964106364266 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 17076.77595932082 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 0.1000859908290387 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 7.25914115660612 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: Optimization problem:
INFO - 10:04:21: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:21: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:21: over the design space:
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.00180621941539383 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.1341451959421166 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.0008121700759752657 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 48018.91326322565 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 6.787332013229979 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 1.867656520116681 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:21: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:21: Optimization result:
INFO - 10:04:21: Optimizer info:
INFO - 10:04:21: Status: None
INFO - 10:04:21: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:21: Solution:
INFO - 10:04:21: Objective: 0.9999999999994492
INFO - 10:04:21: Design space:
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.007062594040458295 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.002214368083712095 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 50438.22959927797 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: Optimization problem:
INFO - 10:04:21: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:21: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:21: over the design space:
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.01207415814302109 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.1322986634002912 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.002156150633652984 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 12334.52371686792 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 6.425630516779915 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 1.548411432916598 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:21: Optimization result:
INFO - 10:04:21: Optimizer info:
INFO - 10:04:21: Status: None
INFO - 10:04:21: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:21: Solution:
INFO - 10:04:21: Objective: 0.40950128337300307
INFO - 10:04:21: Design space:
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.008724728560614471 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.007062594040458295 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.002214368083712095 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 50438.22959927797 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: Optimization problem:
INFO - 10:04:21: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:21: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:21: over the design space:
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: | left_asymptote | 0 | 0.003581289761463745 | 0.01870265673015475 | float |
INFO - 10:04:21: | capacity | 0.007062594040458295 | 0.01964968826414865 | 0.1870265673015475 | float |
INFO - 10:04:21: | growth_rate | 0.0002460408981902327 | 0.001977927079647786 | 0.002214368083712095 | float |
INFO - 10:04:21: | x_lag | 0 | 5642.390614425212 | 50438.22959927797 | float |
INFO - 10:04:21: | logistic_nu | 0.1 | 7.841656902223648 | 10 | float |
INFO - 10:04:21: | asymptote_coeff | 0.1 | 5.549818106841609 | 10 | float |
INFO - 10:04:21: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:21: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:21: 1%| | 2/250 [00:00<00:00, 377.13 it/sec, feas=True, obj=0.973]
INFO - 10:04:21: 1%| | 3/250 [00:00<00:00, 388.28 it/sec, feas=True, obj=0.239]
INFO - 10:04:21: 2%|▏ | 4/250 [00:00<00:00, 378.03 it/sec, feas=True, obj=0.196]
INFO - 10:04:21: 2%|▏ | 5/250 [00:00<00:00, 354.21 it/sec, feas=True, obj=0.197]
INFO - 10:04:21: 2%|▏ | 6/250 [00:00<00:00, 352.83 it/sec, feas=True, obj=0.195]
INFO - 10:04:21: 3%|▎ | 7/250 [00:00<00:00, 350.32 it/sec, feas=True, obj=0.195]
INFO - 10:04:21: 3%|▎ | 8/250 [00:00<00:00, 350.71 it/sec, feas=True, obj=0.194]
INFO - 10:04:21: 4%|▎ | 9/250 [00:00<00:00, 350.66 it/sec, feas=True, obj=0.192]
INFO - 10:04:21: 4%|▍ | 10/250 [00:00<00:00, 349.68 it/sec, feas=True, obj=0.183]
INFO - 10:04:21: 4%|▍ | 11/250 [00:00<00:00, 350.80 it/sec, feas=True, obj=0.17]
INFO - 10:04:21: 5%|▍ | 12/250 [00:00<00:00, 351.22 it/sec, feas=True, obj=0.161]
INFO - 10:04:21: 5%|▌ | 13/250 [00:00<00:00, 352.69 it/sec, feas=True, obj=0.156]
INFO - 10:04:21: 6%|▌ | 14/250 [00:00<00:00, 352.12 it/sec, feas=True, obj=0.149]
INFO - 10:04:21: 6%|▌ | 15/250 [00:00<00:00, 352.49 it/sec, feas=True, obj=0.13]
INFO - 10:04:21: 6%|▋ | 16/250 [00:00<00:00, 352.41 it/sec, feas=True, obj=0.294]
INFO - 10:04:21: 7%|▋ | 17/250 [00:00<00:00, 352.48 it/sec, feas=True, obj=0.112]
INFO - 10:04:22: 7%|▋ | 18/250 [00:00<00:00, 352.30 it/sec, feas=True, obj=0.0894]
INFO - 10:04:22: 8%|▊ | 19/250 [00:00<00:00, 351.78 it/sec, feas=True, obj=0.0918]
INFO - 10:04:22: 8%|▊ | 20/250 [00:00<00:00, 351.69 it/sec, feas=True, obj=0.0835]
INFO - 10:04:22: 8%|▊ | 21/250 [00:00<00:00, 351.43 it/sec, feas=True, obj=0.0834]
INFO - 10:04:22: 9%|▉ | 22/250 [00:00<00:00, 348.39 it/sec, feas=True, obj=0.0832]
INFO - 10:04:22: 9%|▉ | 23/250 [00:00<00:00, 349.01 it/sec, feas=True, obj=0.0832]
INFO - 10:04:22: 10%|▉ | 24/250 [00:00<00:00, 349.57 it/sec, feas=True, obj=0.0831]
INFO - 10:04:22: 10%|█ | 25/250 [00:00<00:00, 350.11 it/sec, feas=True, obj=0.0825]
INFO - 10:04:22: 10%|█ | 26/250 [00:00<00:00, 350.60 it/sec, feas=True, obj=0.0804]
INFO - 10:04:22: 11%|█ | 27/250 [00:00<00:00, 351.14 it/sec, feas=True, obj=0.0781]
INFO - 10:04:22: 11%|█ | 28/250 [00:00<00:00, 351.46 it/sec, feas=True, obj=0.075]
INFO - 10:04:22: 12%|█▏ | 29/250 [00:00<00:00, 351.95 it/sec, feas=True, obj=0.097]
INFO - 10:04:22: 12%|█▏ | 30/250 [00:00<00:00, 352.44 it/sec, feas=True, obj=0.0701]
INFO - 10:04:22: 12%|█▏ | 31/250 [00:00<00:00, 353.14 it/sec, feas=True, obj=0.0711]
INFO - 10:04:22: 13%|█▎ | 32/250 [00:00<00:00, 353.44 it/sec, feas=True, obj=0.0687]
INFO - 10:04:22: 13%|█▎ | 33/250 [00:00<00:00, 353.89 it/sec, feas=True, obj=0.0808]
INFO - 10:04:22: 14%|█▎ | 34/250 [00:00<00:00, 354.30 it/sec, feas=True, obj=0.0664]
INFO - 10:04:22: 14%|█▍ | 35/250 [00:00<00:00, 354.61 it/sec, feas=True, obj=0.0605]
INFO - 10:04:22: 14%|█▍ | 36/250 [00:00<00:00, 354.73 it/sec, feas=True, obj=0.0542]
INFO - 10:04:22: 15%|█▍ | 37/250 [00:00<00:00, 354.91 it/sec, feas=True, obj=0.0535]
INFO - 10:04:22: 15%|█▌ | 38/250 [00:00<00:00, 355.20 it/sec, feas=True, obj=0.0524]
INFO - 10:04:22: 16%|█▌ | 39/250 [00:00<00:00, 355.58 it/sec, feas=True, obj=0.091]
INFO - 10:04:22: 16%|█▌ | 40/250 [00:00<00:00, 355.73 it/sec, feas=True, obj=0.052]
INFO - 10:04:22: 16%|█▋ | 41/250 [00:00<00:00, 349.97 it/sec, feas=True, obj=0.0889]
INFO - 10:04:22: 17%|█▋ | 42/250 [00:00<00:00, 350.31 it/sec, feas=True, obj=0.0512]
INFO - 10:04:22: 17%|█▋ | 43/250 [00:00<00:00, 348.93 it/sec, feas=True, obj=0.062]
INFO - 10:04:22: 18%|█▊ | 44/250 [00:00<00:00, 349.38 it/sec, feas=True, obj=0.0513]
INFO - 10:04:22: 18%|█▊ | 45/250 [00:00<00:00, 349.64 it/sec, feas=True, obj=0.0512]
INFO - 10:04:22: 18%|█▊ | 46/250 [00:00<00:00, 347.99 it/sec, feas=True, obj=0.0735]
INFO - 10:04:22: 19%|█▉ | 47/250 [00:00<00:00, 348.27 it/sec, feas=True, obj=0.0503]
INFO - 10:04:22: 19%|█▉ | 48/250 [00:00<00:00, 348.28 it/sec, feas=True, obj=0.0611]
INFO - 10:04:22: 20%|█▉ | 49/250 [00:00<00:00, 346.76 it/sec, feas=True, obj=0.0497]
INFO - 10:04:22: 20%|██ | 50/250 [00:00<00:00, 347.13 it/sec, feas=True, obj=0.0498]
INFO - 10:04:22: 20%|██ | 51/250 [00:00<00:00, 347.45 it/sec, feas=True, obj=0.0496]
INFO - 10:04:22: 21%|██ | 52/250 [00:00<00:00, 346.30 it/sec, feas=True, obj=0.0511]
INFO - 10:04:22: 21%|██ | 53/250 [00:00<00:00, 346.39 it/sec, feas=True, obj=0.0494]
INFO - 10:04:22: 22%|██▏ | 54/250 [00:00<00:00, 346.64 it/sec, feas=True, obj=0.0491]
INFO - 10:04:22: 22%|██▏ | 55/250 [00:00<00:00, 345.48 it/sec, feas=True, obj=0.0488]
INFO - 10:04:22: 22%|██▏ | 56/250 [00:00<00:00, 345.44 it/sec, feas=True, obj=0.0487]
INFO - 10:04:22: 23%|██▎ | 57/250 [00:00<00:00, 345.86 it/sec, feas=True, obj=0.0486]
INFO - 10:04:22: 23%|██▎ | 58/250 [00:00<00:00, 346.07 it/sec, feas=True, obj=0.0485]
INFO - 10:04:22: 24%|██▎ | 59/250 [00:00<00:00, 346.33 it/sec, feas=True, obj=0.0485]
INFO - 10:04:22: 24%|██▍ | 60/250 [00:00<00:00, 346.80 it/sec, feas=True, obj=0.0526]
INFO - 10:04:22: 24%|██▍ | 61/250 [00:00<00:00, 347.06 it/sec, feas=True, obj=0.0484]
INFO - 10:04:22: 25%|██▍ | 62/250 [00:00<00:00, 347.11 it/sec, feas=True, obj=0.0484]
INFO - 10:04:22: 25%|██▌ | 63/250 [00:00<00:00, 347.34 it/sec, feas=True, obj=0.0484]
INFO - 10:04:22: 26%|██▌ | 64/250 [00:00<00:00, 340.08 it/sec, feas=True, obj=0.0484]
INFO - 10:04:22: 26%|██▌ | 65/250 [00:00<00:00, 329.61 it/sec, feas=True, obj=0.0484]
INFO - 10:04:22: 26%|██▋ | 66/250 [00:00<00:00, 330.00 it/sec, feas=True, obj=0.0484]
INFO - 10:04:22: 27%|██▋ | 67/250 [00:00<00:00, 330.19 it/sec, feas=True, obj=0.0484]
INFO - 10:04:22: 27%|██▋ | 68/250 [00:00<00:00, 330.65 it/sec, feas=True, obj=0.0494]
INFO - 10:04:22: 28%|██▊ | 69/250 [00:00<00:00, 331.03 it/sec, feas=True, obj=0.0484]
INFO - 10:04:22: 28%|██▊ | 70/250 [00:00<00:00, 331.37 it/sec, feas=True, obj=0.0483]
INFO - 10:04:22: 28%|██▊ | 71/250 [00:00<00:00, 331.81 it/sec, feas=True, obj=0.0616]
INFO - 10:04:22: 29%|██▉ | 72/250 [00:00<00:00, 332.16 it/sec, feas=True, obj=0.0482]
INFO - 10:04:22: 29%|██▉ | 73/250 [00:00<00:00, 332.42 it/sec, feas=True, obj=0.0482]
INFO - 10:04:22: 30%|██▉ | 74/250 [00:00<00:00, 332.74 it/sec, feas=True, obj=0.0482]
INFO - 10:04:22: 30%|███ | 75/250 [00:00<00:00, 333.15 it/sec, feas=True, obj=0.0613]
INFO - 10:04:22: 30%|███ | 76/250 [00:00<00:00, 333.49 it/sec, feas=True, obj=0.0482]
INFO - 10:04:22: 31%|███ | 77/250 [00:00<00:00, 333.85 it/sec, feas=True, obj=0.0482]
INFO - 10:04:22: 31%|███ | 78/250 [00:00<00:00, 334.10 it/sec, feas=True, obj=0.0481]
INFO - 10:04:22: 32%|███▏ | 79/250 [00:00<00:00, 334.34 it/sec, feas=True, obj=0.0481]
INFO - 10:04:22: 32%|███▏ | 80/250 [00:00<00:00, 334.65 it/sec, feas=True, obj=0.0481]
INFO - 10:04:22: 32%|███▏ | 81/250 [00:00<00:00, 335.00 it/sec, feas=True, obj=0.0481]
INFO - 10:04:22: 33%|███▎ | 82/250 [00:00<00:00, 335.27 it/sec, feas=True, obj=0.0481]
INFO - 10:04:22: 33%|███▎ | 83/250 [00:00<00:00, 335.55 it/sec, feas=True, obj=0.0481]
INFO - 10:04:22: 34%|███▎ | 84/250 [00:00<00:00, 335.84 it/sec, feas=True, obj=0.0481]
INFO - 10:04:22: 34%|███▍ | 85/250 [00:00<00:00, 336.13 it/sec, feas=True, obj=0.0481]
INFO - 10:04:22: 34%|███▍ | 86/250 [00:00<00:00, 336.35 it/sec, feas=True, obj=0.0481]
INFO - 10:04:22: 35%|███▍ | 87/250 [00:00<00:00, 336.53 it/sec, feas=True, obj=0.0481]
INFO - 10:04:22: Optimization result:
INFO - 10:04:22: Optimizer info:
INFO - 10:04:22: Status: None
INFO - 10:04:22: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:22: Solution:
INFO - 10:04:22: Objective: 0.04808353141443843
INFO - 10:04:22: Design space:
INFO - 10:04:22: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:22: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:22: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:22: | left_asymptote | 0 | 0.005254631678498935 | 0.01870265673015475 | float |
INFO - 10:04:22: | capacity | 0.007062594040458295 | 0.02393168940064521 | 0.1870265673015475 | float |
INFO - 10:04:22: | growth_rate | 0.0002460408981902327 | 0.0002460408981902327 | 0.002214368083712095 | float |
INFO - 10:04:22: | x_lag | 0 | 37202.35707039821 | 50438.22959927797 | float |
INFO - 10:04:22: | logistic_nu | 0.1 | 3.912277287212672 | 10 | float |
INFO - 10:04:22: | asymptote_coeff | 0.1 | 6.266255246602055 | 10 | float |
INFO - 10:04:22: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:22: Optimization problem:
INFO - 10:04:22: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:22: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:22: over the design space:
INFO - 10:04:22: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:22: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:22: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:22: | left_asymptote | 0 | 0.0007700040724767801 | 0.01870265673015475 | float |
INFO - 10:04:22: | capacity | 0.007062594040458295 | 0.05183532853407792 | 0.1870265673015475 | float |
INFO - 10:04:22: | growth_rate | 0.0002460408981902327 | 0.001393397930893065 | 0.002214368083712095 | float |
INFO - 10:04:22: | x_lag | 0 | 31365.19566868813 | 50438.22959927797 | float |
INFO - 10:04:22: | logistic_nu | 0.1 | 5.62268233127262 | 10 | float |
INFO - 10:04:22: | asymptote_coeff | 0.1 | 8.355177201624285 | 10 | float |
INFO - 10:04:22: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:22: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:22: 1%| | 2/250 [00:00<00:00, 387.75 it/sec, feas=True, obj=0.772]
INFO - 10:04:22: 1%| | 3/250 [00:00<00:00, 394.13 it/sec, feas=True, obj=0.611]
INFO - 10:04:22: 2%|▏ | 4/250 [00:00<00:00, 385.41 it/sec, feas=True, obj=0.346]
INFO - 10:04:22: 2%|▏ | 5/250 [00:00<00:00, 381.05 it/sec, feas=True, obj=0.328]
INFO - 10:04:22: 2%|▏ | 6/250 [00:00<00:00, 377.44 it/sec, feas=True, obj=0.296]
INFO - 10:04:22: 3%|▎ | 7/250 [00:00<00:00, 374.38 it/sec, feas=True, obj=0.296]
INFO - 10:04:22: 3%|▎ | 8/250 [00:00<00:00, 369.50 it/sec, feas=True, obj=0.296]
INFO - 10:04:22: Optimization result:
INFO - 10:04:22: Optimizer info:
INFO - 10:04:22: Status: 0
INFO - 10:04:22: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:22: Solution:
INFO - 10:04:22: Objective: 0.29604349699305993
INFO - 10:04:22: Design space:
INFO - 10:04:22: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:22: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:22: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:22: | left_asymptote | 0 | 0.01239674304865479 | 0.01870265673015475 | float |
INFO - 10:04:22: | capacity | 0.007062594040458295 | 0.007062594040906161 | 0.1870265673015475 | float |
INFO - 10:04:22: | growth_rate | 0.0002460408981902327 | 0.00145903966709615 | 0.002214368083712095 | float |
INFO - 10:04:22: | x_lag | 0 | 50438.22959927797 | 50438.22959927797 | float |
INFO - 10:04:22: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:22: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:22: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:22: Optimization problem:
INFO - 10:04:22: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:22: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:22: over the design space:
INFO - 10:04:22: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:22: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:22: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:22: | left_asymptote | 0 | 0.01667900584778283 | 0.01870265673015475 | float |
INFO - 10:04:22: | capacity | 0.007062594040458295 | 0.1151556107290684 | 0.1870265673015475 | float |
INFO - 10:04:22: | growth_rate | 0.0002460408981902327 | 0.001879722015001544 | 0.002214368083712095 | float |
INFO - 10:04:22: | x_lag | 0 | 27326.18982323178 | 50438.22959927797 | float |
INFO - 10:04:22: | logistic_nu | 0.1 | 0.8873151181548338 | 10 | float |
INFO - 10:04:22: | asymptote_coeff | 0.1 | 3.019796092071068 | 10 | float |
INFO - 10:04:22: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:22: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:22: Optimization result:
INFO - 10:04:22: Optimizer info:
INFO - 10:04:22: Status: None
INFO - 10:04:22: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:22: Solution:
INFO - 10:04:22: Objective: 0.9999999999994492
INFO - 10:04:22: Design space:
INFO - 10:04:22: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:22: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:22: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:22: | left_asymptote | 0 | 0 | 0.01870265673015475 | float |
INFO - 10:04:22: | capacity | 0.007062594040458295 | 0.007062594040458295 | 0.1870265673015475 | float |
INFO - 10:04:22: | growth_rate | 0.0002460408981902327 | 0.001851788613933833 | 0.002214368083712095 | float |
INFO - 10:04:22: | x_lag | 0 | 50438.22959927797 | 50438.22959927797 | float |
INFO - 10:04:22: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:22: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:22: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:22: Optimization problem:
INFO - 10:04:22: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:22: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:22: over the design space:
INFO - 10:04:22: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:22: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:22: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:22: | left_asymptote | 0 | 0.01008316718407357 | 0.01870265673015475 | float |
INFO - 10:04:22: | capacity | 0.007062594040458295 | 0.157529207309557 | 0.1870265673015475 | float |
INFO - 10:04:22: | growth_rate | 0.0002460408981902327 | 0.001640049382501008 | 0.002214368083712095 | float |
INFO - 10:04:22: | x_lag | 0 | 28989.40132066709 | 50438.22959927797 | float |
INFO - 10:04:22: | logistic_nu | 0.1 | 9.519289087607232 | 10 | float |
INFO - 10:04:22: | asymptote_coeff | 0.1 | 9.085777545900603 | 10 | float |
INFO - 10:04:22: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:22: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:22: Optimization result:
INFO - 10:04:22: Optimizer info:
INFO - 10:04:22: Status: None
INFO - 10:04:22: Message: Function value or gradient or constraint is NaN, and problem.stop_if_nan is set to True. GEMSEO stopped the driver.
INFO - 10:04:22: Solution:
INFO - 10:04:22: Objective: 0.7090862709431601
INFO - 10:04:22: Design space:
INFO - 10:04:22: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:22: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:22: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:22: | left_asymptote | 0 | 0.004034293916409073 | 0.01870265673015475 | float |
INFO - 10:04:22: | capacity | 0.007062594040458295 | 0.007062594040458295 | 0.1870265673015475 | float |
INFO - 10:04:22: | growth_rate | 0.0002460408981902327 | 0.002214368083712095 | 0.002214368083712095 | float |
INFO - 10:04:22: | x_lag | 0 | 50438.22959927797 | 50438.22959927797 | float |
INFO - 10:04:22: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:22: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:22: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:22: Optimization result:
INFO - 10:04:22: Optimizer info:
INFO - 10:04:22: Status: None
INFO - 10:04:22: Message: None
INFO - 10:04:22: Solution:
INFO - 10:04:22: Objective: 0.04808353141358592
INFO - 10:04:22: Design space:
INFO - 10:04:22: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:22: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:22: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:22: | left_asymptote | 0 | 0.005254645847684218 | 0.01870265673015475 | float |
INFO - 10:04:22: | capacity | 0.007062594040458295 | 0.01421934820183187 | 0.1870265673015475 | float |
INFO - 10:04:22: | growth_rate | 0.0002460408981902327 | 0.0002460408981902327 | 0.002214368083712095 | float |
INFO - 10:04:22: | x_lag | 0 | 25531.06728436966 | 50438.22959927797 | float |
INFO - 10:04:22: | logistic_nu | 0.1 | 3.912262567164229 | 10 | float |
INFO - 10:04:22: | asymptote_coeff | 0.1 | 0.3547203313056617 | 10 | float |
INFO - 10:04:22: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:22: *** End MDOScenario execution ***
GBR {'left_asymptote': array([0.00525465]), 'capacity': array([0.01421935]), 'growth_rate': array([0.00024604]), 'x_lag': array([25531.06728437]), 'logistic_nu': array([3.91226257]), 'asymptote_coeff': array([0.35472033])}
INFO - 10:04:22: *** Start MDOScenario execution ***
INFO - 10:04:22: MDOScenario
INFO - 10:04:22: Disciplines: JAXChain
INFO - 10:04:22: MDO formulation: DisciplinaryOpt
INFO - 10:04:22: Optimization problem:
INFO - 10:04:22: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:22: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:22: over the design space:
INFO - 10:04:22: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:22: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:22: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:22: | left_asymptote | 0 | 0.003138431245171017 | 0.01318893484301132 | float |
INFO - 10:04:22: | capacity | 0.003138431245171017 | 0.01318893484301132 | 0.1318893484301132 | float |
INFO - 10:04:22: | growth_rate | 0.0001932855905600599 | 0.0009664279528002993 | 0.001739570315040539 | float |
INFO - 10:04:22: | x_lag | 0 | 18521.81596650276 | 37043.63193300553 | float |
INFO - 10:04:22: | logistic_nu | 0.1 | 1 | 10 | float |
INFO - 10:04:22: | asymptote_coeff | 0.1 | 1 | 10 | float |
INFO - 10:04:22: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:22: Solving optimization problem with algorithm MultiStart:
INFO - 10:04:22: Optimization problem:
INFO - 10:04:22: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:22: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:22: over the design space:
INFO - 10:04:22: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:22: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:22: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:22: | left_asymptote | 0 | 0.007519845595299697 | 0.01318893484301132 | float |
INFO - 10:04:22: | capacity | 0.003138431245171017 | 0.06227584328561749 | 0.1318893484301132 | float |
INFO - 10:04:22: | growth_rate | 0.0001932855905600599 | 0.0003026625055210936 | 0.001739570315040539 | float |
INFO - 10:04:22: | x_lag | 0 | 32999.51006639851 | 37043.63193300553 | float |
INFO - 10:04:22: | logistic_nu | 0.1 | 7.368669008241702 | 10 | float |
INFO - 10:04:22: | asymptote_coeff | 0.1 | 7.989486619901931 | 10 | float |
INFO - 10:04:22: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:22: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:22: 1%| | 2/250 [00:00<00:18, 13.49 it/sec, feas=True, obj=1]
INFO - 10:04:22: 1%| | 3/250 [00:00<00:12, 19.96 it/sec, feas=True, obj=0.736]
INFO - 10:04:22: 2%|▏ | 4/250 [00:00<00:09, 26.19 it/sec, feas=True, obj=0.76]
INFO - 10:04:22: 2%|▏ | 5/250 [00:00<00:07, 32.21 it/sec, feas=True, obj=0.425]
INFO - 10:04:22: 2%|▏ | 6/250 [00:00<00:06, 38.03 it/sec, feas=True, obj=0.401]
INFO - 10:04:22: 3%|▎ | 7/250 [00:00<00:05, 43.60 it/sec, feas=True, obj=1.9]
INFO - 10:04:22: 3%|▎ | 8/250 [00:00<00:04, 48.97 it/sec, feas=True, obj=0.394]
INFO - 10:04:22: 4%|▎ | 9/250 [00:00<00:04, 54.17 it/sec, feas=True, obj=0.876]
INFO - 10:04:22: 4%|▍ | 10/250 [00:00<00:04, 59.20 it/sec, feas=True, obj=0.384]
INFO - 10:04:22: 4%|▍ | 11/250 [00:00<00:03, 64.08 it/sec, feas=True, obj=0.432]
INFO - 10:04:22: 5%|▍ | 12/250 [00:00<00:03, 68.79 it/sec, feas=True, obj=0.371]
INFO - 10:04:22: 5%|▌ | 13/250 [00:00<00:03, 73.35 it/sec, feas=True, obj=0.353]
INFO - 10:04:22: 6%|▌ | 14/250 [00:00<00:03, 77.77 it/sec, feas=True, obj=0.289]
INFO - 10:04:22: 6%|▌ | 15/250 [00:00<00:02, 82.08 it/sec, feas=True, obj=0.267]
INFO - 10:04:22: 6%|▋ | 16/250 [00:00<00:02, 86.25 it/sec, feas=True, obj=0.288]
INFO - 10:04:22: 7%|▋ | 17/250 [00:00<00:02, 90.27 it/sec, feas=True, obj=0.239]
INFO - 10:04:22: 7%|▋ | 18/250 [00:00<00:02, 94.20 it/sec, feas=True, obj=0.237]
INFO - 10:04:22: 8%|▊ | 19/250 [00:00<00:02, 98.04 it/sec, feas=True, obj=0.202]
INFO - 10:04:22: 8%|▊ | 20/250 [00:00<00:02, 101.77 it/sec, feas=True, obj=0.214]
INFO - 10:04:22: 8%|▊ | 21/250 [00:00<00:02, 105.35 it/sec, feas=True, obj=0.164]
INFO - 10:04:22: 9%|▉ | 22/250 [00:00<00:02, 108.84 it/sec, feas=True, obj=0.274]
INFO - 10:04:22: 9%|▉ | 23/250 [00:00<00:02, 112.14 it/sec, feas=True, obj=0.164]
INFO - 10:04:22: 10%|▉ | 24/250 [00:00<00:01, 114.30 it/sec, feas=True, obj=0.157]
INFO - 10:04:22: 10%|█ | 25/250 [00:00<00:01, 117.48 it/sec, feas=True, obj=0.153]
INFO - 10:04:22: 10%|█ | 26/250 [00:00<00:01, 120.61 it/sec, feas=True, obj=0.152]
INFO - 10:04:22: 11%|█ | 27/250 [00:00<00:01, 123.66 it/sec, feas=True, obj=0.152]
INFO - 10:04:22: 11%|█ | 28/250 [00:00<00:01, 126.65 it/sec, feas=True, obj=0.148]
INFO - 10:04:22: 12%|█▏ | 29/250 [00:00<00:01, 129.60 it/sec, feas=True, obj=0.233]
INFO - 10:04:22: 12%|█▏ | 30/250 [00:00<00:01, 132.42 it/sec, feas=True, obj=0.147]
INFO - 10:04:22: 12%|█▏ | 31/250 [00:00<00:01, 133.13 it/sec, feas=True, obj=0.581]
INFO - 10:04:22: 13%|█▎ | 32/250 [00:00<00:01, 135.08 it/sec, feas=True, obj=0.211]
INFO - 10:04:22: 13%|█▎ | 33/250 [00:00<00:01, 137.59 it/sec, feas=True, obj=0.147]
INFO - 10:04:22: 14%|█▎ | 34/250 [00:00<00:01, 140.02 it/sec, feas=True, obj=0.591]
INFO - 10:04:22: 14%|█▍ | 35/250 [00:00<00:01, 142.42 it/sec, feas=True, obj=0.146]
INFO - 10:04:22: 14%|█▍ | 36/250 [00:00<00:01, 144.76 it/sec, feas=True, obj=0.217]
INFO - 10:04:22: 15%|█▍ | 37/250 [00:00<00:01, 147.01 it/sec, feas=True, obj=0.144]
INFO - 10:04:22: 15%|█▌ | 38/250 [00:00<00:01, 149.26 it/sec, feas=True, obj=0.596]
INFO - 10:04:22: 16%|█▌ | 39/250 [00:00<00:01, 151.44 it/sec, feas=True, obj=0.147]
INFO - 10:04:22: 16%|█▌ | 40/250 [00:00<00:01, 153.55 it/sec, feas=True, obj=0.144]
INFO - 10:04:22: 16%|█▋ | 41/250 [00:00<00:01, 155.68 it/sec, feas=True, obj=0.597]
INFO - 10:04:22: 17%|█▋ | 42/250 [00:00<00:01, 157.73 it/sec, feas=True, obj=0.142]
INFO - 10:04:22: 17%|█▋ | 43/250 [00:00<00:01, 159.77 it/sec, feas=True, obj=0.22]
INFO - 10:04:22: 18%|█▊ | 44/250 [00:00<00:01, 161.75 it/sec, feas=True, obj=0.14]
INFO - 10:04:22: 18%|█▊ | 45/250 [00:00<00:01, 163.80 it/sec, feas=True, obj=0.608]
INFO - 10:04:22: 18%|█▊ | 46/250 [00:00<00:01, 165.65 it/sec, feas=True, obj=0.14]
INFO - 10:04:22: 19%|█▉ | 47/250 [00:00<00:01, 167.53 it/sec, feas=True, obj=0.606]
INFO - 10:04:22: 19%|█▉ | 48/250 [00:00<00:01, 169.36 it/sec, feas=True, obj=0.139]
INFO - 10:04:22: 20%|█▉ | 49/250 [00:00<00:01, 171.17 it/sec, feas=True, obj=0.227]
INFO - 10:04:22: 20%|██ | 50/250 [00:00<00:01, 172.98 it/sec, feas=True, obj=0.137]
INFO - 10:04:22: 20%|██ | 51/250 [00:00<00:01, 173.49 it/sec, feas=True, obj=0.612]
INFO - 10:04:22: 21%|██ | 52/250 [00:00<00:01, 175.25 it/sec, feas=True, obj=0.136]
INFO - 10:04:22: 21%|██ | 53/250 [00:00<00:01, 176.96 it/sec, feas=True, obj=0.13]
INFO - 10:04:22: 22%|██▏ | 54/250 [00:00<00:01, 178.63 it/sec, feas=True, obj=0.127]
INFO - 10:04:22: 22%|██▏ | 55/250 [00:00<00:01, 180.29 it/sec, feas=True, obj=0.123]
INFO - 10:04:22: 22%|██▏ | 56/250 [00:00<00:01, 181.97 it/sec, feas=True, obj=0.124]
INFO - 10:04:22: 23%|██▎ | 57/250 [00:00<00:01, 183.57 it/sec, feas=True, obj=0.118]
INFO - 10:04:22: 23%|██▎ | 58/250 [00:00<00:01, 184.12 it/sec, feas=True, obj=0.115]
INFO - 10:04:22: 24%|██▎ | 59/250 [00:00<00:01, 185.55 it/sec, feas=True, obj=0.112]
INFO - 10:04:22: 24%|██▍ | 60/250 [00:00<00:01, 186.97 it/sec, feas=True, obj=0.109]
INFO - 10:04:22: 24%|██▍ | 61/250 [00:00<00:01, 188.41 it/sec, feas=True, obj=0.112]
INFO - 10:04:22: 25%|██▍ | 62/250 [00:00<00:00, 189.78 it/sec, feas=True, obj=0.108]
INFO - 10:04:22: 25%|██▌ | 63/250 [00:00<00:00, 191.18 it/sec, feas=True, obj=0.107]
INFO - 10:04:22: 26%|██▌ | 64/250 [00:00<00:00, 192.55 it/sec, feas=True, obj=0.105]
INFO - 10:04:22: 26%|██▌ | 65/250 [00:00<00:00, 193.89 it/sec, feas=True, obj=0.106]
INFO - 10:04:22: 26%|██▋ | 66/250 [00:00<00:00, 195.16 it/sec, feas=True, obj=0.105]
INFO - 10:04:22: 27%|██▋ | 67/250 [00:00<00:00, 196.49 it/sec, feas=True, obj=0.104]
INFO - 10:04:22: 27%|██▋ | 68/250 [00:00<00:00, 197.86 it/sec, feas=True, obj=0.105]
INFO - 10:04:22: 28%|██▊ | 69/250 [00:00<00:00, 199.16 it/sec, feas=True, obj=0.103]
INFO - 10:04:22: 28%|██▊ | 70/250 [00:00<00:00, 200.35 it/sec, feas=True, obj=0.103]
INFO - 10:04:22: 28%|██▊ | 71/250 [00:00<00:00, 200.60 it/sec, feas=True, obj=0.103]
INFO - 10:04:22: 29%|██▉ | 72/250 [00:00<00:00, 201.84 it/sec, feas=True, obj=0.103]
INFO - 10:04:22: 29%|██▉ | 73/250 [00:00<00:00, 203.07 it/sec, feas=True, obj=0.103]
INFO - 10:04:22: 30%|██▉ | 74/250 [00:00<00:00, 204.17 it/sec, feas=True, obj=0.103]
INFO - 10:04:22: 30%|███ | 75/250 [00:00<00:00, 205.34 it/sec, feas=True, obj=0.103]
INFO - 10:04:22: 30%|███ | 76/250 [00:00<00:00, 206.45 it/sec, feas=True, obj=0.103]
INFO - 10:04:22: 31%|███ | 77/250 [00:00<00:00, 207.46 it/sec, feas=True, obj=0.103]
INFO - 10:04:22: 31%|███ | 78/250 [00:00<00:00, 208.56 it/sec, feas=True, obj=0.103]
INFO - 10:04:22: 32%|███▏ | 79/250 [00:00<00:00, 209.61 it/sec, feas=True, obj=0.103]
INFO - 10:04:22: 32%|███▏ | 80/250 [00:00<00:00, 209.98 it/sec, feas=True, obj=0.103]
INFO - 10:04:22: 32%|███▏ | 81/250 [00:00<00:00, 211.09 it/sec, feas=True, obj=0.103]
INFO - 10:04:22: 33%|███▎ | 82/250 [00:00<00:00, 212.16 it/sec, feas=True, obj=0.103]
INFO - 10:04:22: 33%|███▎ | 83/250 [00:00<00:00, 213.22 it/sec, feas=True, obj=0.103]
INFO - 10:04:22: 34%|███▎ | 84/250 [00:00<00:00, 214.27 it/sec, feas=True, obj=0.103]
INFO - 10:04:22: 34%|███▍ | 85/250 [00:00<00:00, 215.34 it/sec, feas=True, obj=0.103]
INFO - 10:04:22: 34%|███▍ | 86/250 [00:00<00:00, 216.36 it/sec, feas=True, obj=0.103]
INFO - 10:04:22: 35%|███▍ | 87/250 [00:00<00:00, 217.38 it/sec, feas=True, obj=0.11]
INFO - 10:04:22: 35%|███▌ | 88/250 [00:00<00:00, 218.36 it/sec, feas=True, obj=0.102]
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INFO - 10:04:23: 95%|█████████▌| 238/250 [00:00<00:00, 274.66 it/sec, feas=True, obj=0.0995]
INFO - 10:04:23: 96%|█████████▌| 239/250 [00:00<00:00, 274.94 it/sec, feas=True, obj=0.0995]
INFO - 10:04:23: 96%|█████████▌| 240/250 [00:00<00:00, 275.17 it/sec, feas=True, obj=0.0994]
INFO - 10:04:23: 96%|█████████▋| 241/250 [00:00<00:00, 275.41 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 97%|█████████▋| 242/250 [00:00<00:00, 275.66 it/sec, feas=True, obj=0.0994]
INFO - 10:04:23: 97%|█████████▋| 243/250 [00:00<00:00, 275.21 it/sec, feas=True, obj=0.0994]
INFO - 10:04:23: 98%|█████████▊| 244/250 [00:00<00:00, 275.42 it/sec, feas=True, obj=0.0994]
INFO - 10:04:23: 98%|█████████▊| 245/250 [00:00<00:00, 275.65 it/sec, feas=True, obj=0.0998]
INFO - 10:04:23: 98%|█████████▊| 246/250 [00:00<00:00, 275.84 it/sec, feas=True, obj=0.0994]
INFO - 10:04:23: 99%|█████████▉| 247/250 [00:00<00:00, 276.05 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 99%|█████████▉| 248/250 [00:00<00:00, 276.23 it/sec, feas=True, obj=0.0994]
INFO - 10:04:23: 100%|█████████▉| 249/250 [00:00<00:00, 276.41 it/sec, feas=True, obj=0.0994]
INFO - 10:04:23: 100%|██████████| 250/250 [00:00<00:00, 276.62 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: Optimization result:
INFO - 10:04:23: Optimizer info:
INFO - 10:04:23: Status: None
INFO - 10:04:23: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 10:04:23: Solution:
INFO - 10:04:23: Objective: 0.099391550006797
INFO - 10:04:23: Design space:
INFO - 10:04:23: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:23: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:23: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:23: | left_asymptote | 0 | 0.003133430929602343 | 0.01318893484301132 | float |
INFO - 10:04:23: | capacity | 0.003138431245171017 | 0.1318893484301132 | 0.1318893484301132 | float |
INFO - 10:04:23: | growth_rate | 0.0001932855905600599 | 0.0001937395003220705 | 0.001739570315040539 | float |
INFO - 10:04:23: | x_lag | 0 | 25372.8204609152 | 37043.63193300553 | float |
INFO - 10:04:23: | logistic_nu | 0.1 | 0.6989196583165461 | 10 | float |
INFO - 10:04:23: | asymptote_coeff | 0.1 | 6.374351656400294 | 10 | float |
INFO - 10:04:23: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:23: Optimization problem:
INFO - 10:04:23: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:23: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:23: over the design space:
INFO - 10:04:23: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:23: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:23: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:23: | left_asymptote | 0 | 0.004575644271309011 | 0.01318893484301132 | float |
INFO - 10:04:23: | capacity | 0.003138431245171017 | 0.02182144506763032 | 0.1318893484301132 | float |
INFO - 10:04:23: | growth_rate | 0.0001932855905600599 | 0.000444767931723749 | 0.001739570315040539 | float |
INFO - 10:04:23: | x_lag | 0 | 24116.15423733636 | 37043.63193300553 | float |
INFO - 10:04:23: | logistic_nu | 0.1 | 0.5484496378270003 | 10 | float |
INFO - 10:04:23: | asymptote_coeff | 0.1 | 4.282038415160894 | 10 | float |
INFO - 10:04:23: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:23: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:23: 1%| | 2/250 [00:00<00:00, 312.62 it/sec, feas=True, obj=8.55]
INFO - 10:04:23: 1%| | 3/250 [00:00<00:00, 342.91 it/sec, feas=True, obj=0.353]
INFO - 10:04:23: 2%|▏ | 4/250 [00:00<00:00, 348.66 it/sec, feas=True, obj=0.238]
INFO - 10:04:23: 2%|▏ | 5/250 [00:00<00:00, 352.51 it/sec, feas=True, obj=0.162]
INFO - 10:04:23: 2%|▏ | 6/250 [00:00<00:00, 353.54 it/sec, feas=True, obj=0.174]
INFO - 10:04:23: 3%|▎ | 7/250 [00:00<00:00, 355.15 it/sec, feas=True, obj=0.159]
INFO - 10:04:23: 3%|▎ | 8/250 [00:00<00:00, 354.63 it/sec, feas=True, obj=0.154]
INFO - 10:04:23: 4%|▎ | 9/250 [00:00<00:00, 354.39 it/sec, feas=True, obj=0.137]
INFO - 10:04:23: 4%|▍ | 10/250 [00:00<00:00, 355.68 it/sec, feas=True, obj=0.119]
INFO - 10:04:23: 4%|▍ | 11/250 [00:00<00:00, 354.41 it/sec, feas=True, obj=0.117]
INFO - 10:04:23: 5%|▍ | 12/250 [00:00<00:00, 353.77 it/sec, feas=True, obj=0.107]
INFO - 10:04:23: 5%|▌ | 13/250 [00:00<00:00, 354.21 it/sec, feas=True, obj=0.106]
INFO - 10:04:23: 6%|▌ | 14/250 [00:00<00:00, 353.73 it/sec, feas=True, obj=0.106]
INFO - 10:04:23: 6%|▌ | 15/250 [00:00<00:00, 338.24 it/sec, feas=True, obj=0.106]
INFO - 10:04:23: 6%|▋ | 16/250 [00:00<00:00, 338.80 it/sec, feas=True, obj=0.105]
INFO - 10:04:23: 7%|▋ | 17/250 [00:00<00:00, 340.32 it/sec, feas=True, obj=0.105]
INFO - 10:04:23: 7%|▋ | 18/250 [00:00<00:00, 338.94 it/sec, feas=True, obj=0.104]
INFO - 10:04:23: 8%|▊ | 19/250 [00:00<00:00, 337.20 it/sec, feas=True, obj=0.122]
INFO - 10:04:23: 8%|▊ | 20/250 [00:00<00:00, 337.73 it/sec, feas=True, obj=0.102]
INFO - 10:04:23: 8%|▊ | 21/250 [00:00<00:00, 338.72 it/sec, feas=True, obj=0.109]
INFO - 10:04:23: 9%|▉ | 22/250 [00:00<00:00, 338.80 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 9%|▉ | 23/250 [00:00<00:00, 339.61 it/sec, feas=True, obj=0.135]
INFO - 10:04:23: 10%|▉ | 24/250 [00:00<00:00, 339.81 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 10%|█ | 25/250 [00:00<00:00, 340.06 it/sec, feas=True, obj=0.109]
INFO - 10:04:23: 10%|█ | 26/250 [00:00<00:00, 340.93 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 11%|█ | 27/250 [00:00<00:00, 341.61 it/sec, feas=True, obj=0.104]
INFO - 10:04:23: 11%|█ | 28/250 [00:00<00:00, 341.75 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 12%|█▏ | 29/250 [00:00<00:00, 342.24 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 12%|█▏ | 30/250 [00:00<00:00, 342.46 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 12%|█▏ | 31/250 [00:00<00:00, 342.58 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 13%|█▎ | 32/250 [00:00<00:00, 342.60 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 13%|█▎ | 33/250 [00:00<00:00, 343.22 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 14%|█▎ | 34/250 [00:00<00:00, 343.69 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 14%|█▍ | 35/250 [00:00<00:00, 343.98 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 14%|█▍ | 36/250 [00:00<00:00, 344.08 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 15%|█▍ | 37/250 [00:00<00:00, 344.43 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 15%|█▌ | 38/250 [00:00<00:00, 345.08 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 16%|█▌ | 39/250 [00:00<00:00, 337.95 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 16%|█▌ | 40/250 [00:00<00:00, 338.49 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 16%|█▋ | 41/250 [00:00<00:00, 338.87 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 17%|█▋ | 42/250 [00:00<00:00, 339.30 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 17%|█▋ | 43/250 [00:00<00:00, 339.70 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 18%|█▊ | 44/250 [00:00<00:00, 339.79 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 18%|█▊ | 45/250 [00:00<00:00, 339.81 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 18%|█▊ | 46/250 [00:00<00:00, 339.93 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 19%|█▉ | 47/250 [00:00<00:00, 340.03 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 19%|█▉ | 48/250 [00:00<00:00, 340.07 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 20%|█▉ | 49/250 [00:00<00:00, 340.20 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 20%|██ | 50/250 [00:00<00:00, 340.42 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 20%|██ | 51/250 [00:00<00:00, 340.48 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 21%|██ | 52/250 [00:00<00:00, 340.73 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 21%|██ | 53/250 [00:00<00:00, 341.07 it/sec, feas=True, obj=0.0999]
INFO - 10:04:23: 22%|██▏ | 54/250 [00:00<00:00, 341.49 it/sec, feas=True, obj=0.0999]
INFO - 10:04:23: 22%|██▏ | 55/250 [00:00<00:00, 341.42 it/sec, feas=True, obj=0.0999]
INFO - 10:04:23: 22%|██▏ | 56/250 [00:00<00:00, 339.21 it/sec, feas=True, obj=0.0998]
INFO - 10:04:23: 23%|██▎ | 57/250 [00:00<00:00, 337.24 it/sec, feas=True, obj=0.0998]
INFO - 10:04:23: 23%|██▎ | 58/250 [00:00<00:00, 337.21 it/sec, feas=True, obj=0.0999]
INFO - 10:04:23: 24%|██▎ | 59/250 [00:00<00:00, 337.23 it/sec, feas=True, obj=0.0998]
INFO - 10:04:23: 24%|██▍ | 60/250 [00:00<00:00, 337.37 it/sec, feas=True, obj=0.0998]
INFO - 10:04:23: 24%|██▍ | 61/250 [00:00<00:00, 337.33 it/sec, feas=True, obj=0.0998]
INFO - 10:04:23: 25%|██▍ | 62/250 [00:00<00:00, 337.59 it/sec, feas=True, obj=0.0997]
INFO - 10:04:23: 25%|██▌ | 63/250 [00:00<00:00, 337.95 it/sec, feas=True, obj=0.0997]
INFO - 10:04:23: 26%|██▌ | 64/250 [00:00<00:00, 336.79 it/sec, feas=True, obj=0.0997]
INFO - 10:04:23: 26%|██▌ | 65/250 [00:00<00:00, 336.74 it/sec, feas=True, obj=0.103]
INFO - 10:04:23: 26%|██▋ | 66/250 [00:00<00:00, 336.76 it/sec, feas=True, obj=0.0997]
INFO - 10:04:23: 27%|██▋ | 67/250 [00:00<00:00, 336.77 it/sec, feas=True, obj=0.0997]
INFO - 10:04:23: 27%|██▋ | 68/250 [00:00<00:00, 337.04 it/sec, feas=True, obj=0.1]
INFO - 10:04:23: 28%|██▊ | 69/250 [00:00<00:00, 337.35 it/sec, feas=True, obj=0.0997]
INFO - 10:04:23: 28%|██▊ | 70/250 [00:00<00:00, 337.63 it/sec, feas=True, obj=0.0996]
INFO - 10:04:23: 28%|██▊ | 71/250 [00:00<00:00, 338.07 it/sec, feas=True, obj=0.0996]
INFO - 10:04:23: 29%|██▉ | 72/250 [00:00<00:00, 338.31 it/sec, feas=True, obj=0.0996]
INFO - 10:04:23: 29%|██▉ | 73/250 [00:00<00:00, 338.61 it/sec, feas=True, obj=0.0996]
INFO - 10:04:23: 30%|██▉ | 74/250 [00:00<00:00, 338.87 it/sec, feas=True, obj=0.0996]
INFO - 10:04:23: 30%|███ | 75/250 [00:00<00:00, 339.10 it/sec, feas=True, obj=0.0995]
INFO - 10:04:23: 30%|███ | 76/250 [00:00<00:00, 339.40 it/sec, feas=True, obj=0.0997]
INFO - 10:04:23: 31%|███ | 77/250 [00:00<00:00, 339.59 it/sec, feas=True, obj=0.0995]
INFO - 10:04:23: 31%|███ | 78/250 [00:00<00:00, 339.90 it/sec, feas=True, obj=0.0996]
INFO - 10:04:23: 32%|███▏ | 79/250 [00:00<00:00, 340.17 it/sec, feas=True, obj=0.0995]
INFO - 10:04:23: 32%|███▏ | 80/250 [00:00<00:00, 340.38 it/sec, feas=True, obj=0.0995]
INFO - 10:04:23: 32%|███▏ | 81/250 [00:00<00:00, 340.58 it/sec, feas=True, obj=0.0995]
INFO - 10:04:23: 33%|███▎ | 82/250 [00:00<00:00, 340.68 it/sec, feas=True, obj=0.0995]
INFO - 10:04:23: 33%|███▎ | 83/250 [00:00<00:00, 340.73 it/sec, feas=True, obj=0.0994]
INFO - 10:04:23: 34%|███▎ | 84/250 [00:00<00:00, 340.77 it/sec, feas=True, obj=0.0994]
INFO - 10:04:23: 34%|███▍ | 85/250 [00:00<00:00, 341.05 it/sec, feas=True, obj=0.0994]
INFO - 10:04:23: 34%|███▍ | 86/250 [00:00<00:00, 340.64 it/sec, feas=True, obj=0.0994]
INFO - 10:04:23: 35%|███▍ | 87/250 [00:00<00:00, 340.88 it/sec, feas=True, obj=0.0994]
INFO - 10:04:23: 35%|███▌ | 88/250 [00:00<00:00, 341.07 it/sec, feas=True, obj=0.0993]
INFO - 10:04:23: 36%|███▌ | 89/250 [00:00<00:00, 341.30 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 36%|███▌ | 90/250 [00:00<00:00, 341.51 it/sec, feas=True, obj=0.0993]
INFO - 10:04:23: 36%|███▋ | 91/250 [00:00<00:00, 341.80 it/sec, feas=True, obj=0.0993]
INFO - 10:04:23: 37%|███▋ | 92/250 [00:00<00:00, 342.01 it/sec, feas=True, obj=0.0993]
INFO - 10:04:23: 37%|███▋ | 93/250 [00:00<00:00, 342.08 it/sec, feas=True, obj=0.0993]
INFO - 10:04:23: 38%|███▊ | 94/250 [00:00<00:00, 342.12 it/sec, feas=True, obj=0.0992]
INFO - 10:04:23: 38%|███▊ | 95/250 [00:00<00:00, 342.13 it/sec, feas=True, obj=0.0992]
INFO - 10:04:23: 38%|███▊ | 96/250 [00:00<00:00, 342.29 it/sec, feas=True, obj=0.103]
INFO - 10:04:23: 39%|███▉ | 97/250 [00:00<00:00, 342.48 it/sec, feas=True, obj=0.0992]
INFO - 10:04:23: 39%|███▉ | 98/250 [00:00<00:00, 342.53 it/sec, feas=True, obj=0.0992]
INFO - 10:04:23: 40%|███▉ | 99/250 [00:00<00:00, 342.60 it/sec, feas=True, obj=0.0991]
INFO - 10:04:23: 40%|████ | 100/250 [00:00<00:00, 342.71 it/sec, feas=True, obj=0.0991]
INFO - 10:04:23: 40%|████ | 101/250 [00:00<00:00, 342.81 it/sec, feas=True, obj=0.0991]
INFO - 10:04:23: 41%|████ | 102/250 [00:00<00:00, 342.95 it/sec, feas=True, obj=0.0991]
INFO - 10:04:23: 41%|████ | 103/250 [00:00<00:00, 343.08 it/sec, feas=True, obj=0.0991]
INFO - 10:04:23: 42%|████▏ | 104/250 [00:00<00:00, 343.16 it/sec, feas=True, obj=0.0991]
INFO - 10:04:23: 42%|████▏ | 105/250 [00:00<00:00, 343.27 it/sec, feas=True, obj=0.0991]
INFO - 10:04:23: 42%|████▏ | 106/250 [00:00<00:00, 343.40 it/sec, feas=True, obj=0.0991]
INFO - 10:04:23: 43%|████▎ | 107/250 [00:00<00:00, 343.41 it/sec, feas=True, obj=0.0991]
INFO - 10:04:23: 43%|████▎ | 108/250 [00:00<00:00, 343.54 it/sec, feas=True, obj=0.0991]
INFO - 10:04:23: 44%|████▎ | 109/250 [00:00<00:00, 341.26 it/sec, feas=True, obj=0.0991]
INFO - 10:04:23: 44%|████▍ | 110/250 [00:00<00:00, 341.44 it/sec, feas=True, obj=0.0991]
INFO - 10:04:23: 44%|████▍ | 111/250 [00:00<00:00, 341.60 it/sec, feas=True, obj=0.0991]
INFO - 10:04:23: 45%|████▍ | 112/250 [00:00<00:00, 341.04 it/sec, feas=True, obj=0.0991]
INFO - 10:04:23: 45%|████▌ | 113/250 [00:00<00:00, 341.22 it/sec, feas=True, obj=0.0991]
INFO - 10:04:23: 46%|████▌ | 114/250 [00:00<00:00, 341.36 it/sec, feas=True, obj=0.0991]
INFO - 10:04:23: 46%|████▌ | 115/250 [00:00<00:00, 340.84 it/sec, feas=True, obj=0.0991]
INFO - 10:04:23: Optimization result:
INFO - 10:04:23: Optimizer info:
INFO - 10:04:23: Status: None
INFO - 10:04:23: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:23: Solution:
INFO - 10:04:23: Objective: 0.0990827619341911
INFO - 10:04:23: Design space:
INFO - 10:04:23: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:23: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:23: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:23: | left_asymptote | 0 | 0.003381848260440461 | 0.01318893484301132 | float |
INFO - 10:04:23: | capacity | 0.003138431245171017 | 0.07704285720841125 | 0.1318893484301132 | float |
INFO - 10:04:23: | growth_rate | 0.0001932855905600599 | 0.0001932855905600599 | 0.001739570315040539 | float |
INFO - 10:04:23: | x_lag | 0 | 16668.24680685586 | 37043.63193300553 | float |
INFO - 10:04:23: | logistic_nu | 0.1 | 0.3969924909096608 | 10 | float |
INFO - 10:04:23: | asymptote_coeff | 0.1 | 2.330170891390936 | 10 | float |
INFO - 10:04:23: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:23: Optimization problem:
INFO - 10:04:23: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:23: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:23: over the design space:
INFO - 10:04:23: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:23: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:23: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:23: | left_asymptote | 0 | 0.01026180021899424 | 0.01318893484301132 | float |
INFO - 10:04:23: | capacity | 0.003138431245171017 | 0.04731321174634426 | 0.1318893484301132 | float |
INFO - 10:04:23: | growth_rate | 0.0001932855905600599 | 0.0005466480353824783 | 0.001739570315040539 | float |
INFO - 10:04:23: | x_lag | 0 | 6381.589876143917 | 37043.63193300553 | float |
INFO - 10:04:23: | logistic_nu | 0.1 | 4.260096820785328 | 10 | float |
INFO - 10:04:23: | asymptote_coeff | 0.1 | 9.734456184588874 | 10 | float |
INFO - 10:04:23: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:23: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:23: 1%| | 2/250 [00:00<00:00, 381.14 it/sec, feas=True, obj=0.866]
INFO - 10:04:23: 1%| | 3/250 [00:00<00:00, 378.84 it/sec, feas=True, obj=0.553]
INFO - 10:04:23: 2%|▏ | 4/250 [00:00<00:00, 373.12 it/sec, feas=True, obj=0.87]
INFO - 10:04:23: 2%|▏ | 5/250 [00:00<00:00, 369.78 it/sec, feas=True, obj=0.418]
INFO - 10:04:23: 2%|▏ | 6/250 [00:00<00:00, 369.60 it/sec, feas=True, obj=0.392]
INFO - 10:04:23: 3%|▎ | 7/250 [00:00<00:00, 368.23 it/sec, feas=True, obj=0.623]
INFO - 10:04:23: 3%|▎ | 8/250 [00:00<00:00, 367.37 it/sec, feas=True, obj=0.385]
INFO - 10:04:23: 4%|▎ | 9/250 [00:00<00:00, 366.86 it/sec, feas=True, obj=0.329]
INFO - 10:04:23: 4%|▍ | 10/250 [00:00<00:00, 367.17 it/sec, feas=True, obj=0.371]
INFO - 10:04:23: 4%|▍ | 11/250 [00:00<00:00, 366.35 it/sec, feas=True, obj=0.259]
INFO - 10:04:23: 5%|▍ | 12/250 [00:00<00:00, 365.61 it/sec, feas=True, obj=0.2]
INFO - 10:04:23: 5%|▌ | 13/250 [00:00<00:00, 365.20 it/sec, feas=True, obj=0.175]
INFO - 10:04:23: 6%|▌ | 14/250 [00:00<00:00, 365.03 it/sec, feas=True, obj=0.158]
INFO - 10:04:23: 6%|▌ | 15/250 [00:00<00:00, 365.44 it/sec, feas=True, obj=0.121]
INFO - 10:04:23: 6%|▋ | 16/250 [00:00<00:00, 365.60 it/sec, feas=True, obj=0.143]
INFO - 10:04:23: 7%|▋ | 17/250 [00:00<00:00, 365.51 it/sec, feas=True, obj=0.113]
INFO - 10:04:23: 7%|▋ | 18/250 [00:00<00:00, 365.94 it/sec, feas=True, obj=0.12]
INFO - 10:04:23: 8%|▊ | 19/250 [00:00<00:00, 365.82 it/sec, feas=True, obj=0.111]
INFO - 10:04:23: 8%|▊ | 20/250 [00:00<00:00, 365.81 it/sec, feas=True, obj=0.11]
INFO - 10:04:23: 8%|▊ | 21/250 [00:00<00:00, 365.76 it/sec, feas=True, obj=0.11]
INFO - 10:04:23: 9%|▉ | 22/250 [00:00<00:00, 365.69 it/sec, feas=True, obj=0.11]
INFO - 10:04:23: 9%|▉ | 23/250 [00:00<00:00, 365.59 it/sec, feas=True, obj=0.109]
INFO - 10:04:23: 10%|▉ | 24/250 [00:00<00:00, 365.28 it/sec, feas=True, obj=0.107]
INFO - 10:04:23: 10%|█ | 25/250 [00:00<00:00, 364.65 it/sec, feas=True, obj=0.107]
INFO - 10:04:23: 10%|█ | 26/250 [00:00<00:00, 364.89 it/sec, feas=True, obj=0.106]
INFO - 10:04:23: 11%|█ | 27/250 [00:00<00:00, 361.38 it/sec, feas=True, obj=0.106]
INFO - 10:04:23: 11%|█ | 28/250 [00:00<00:00, 357.15 it/sec, feas=True, obj=0.105]
INFO - 10:04:23: 12%|█▏ | 29/250 [00:00<00:00, 357.30 it/sec, feas=True, obj=0.105]
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INFO - 10:04:23: 14%|█▎ | 34/250 [00:00<00:00, 357.84 it/sec, feas=True, obj=0.109]
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INFO - 10:04:23: 21%|██ | 52/250 [00:00<00:00, 354.18 it/sec, feas=True, obj=0.104]
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INFO - 10:04:23: 24%|██▍ | 60/250 [00:00<00:00, 355.12 it/sec, feas=True, obj=0.111]
INFO - 10:04:23: 24%|██▍ | 61/250 [00:00<00:00, 355.16 it/sec, feas=True, obj=0.104]
INFO - 10:04:23: 25%|██▍ | 62/250 [00:00<00:00, 355.30 it/sec, feas=True, obj=0.104]
INFO - 10:04:23: 25%|██▌ | 63/250 [00:00<00:00, 355.45 it/sec, feas=True, obj=0.103]
INFO - 10:04:23: 26%|██▌ | 64/250 [00:00<00:00, 355.30 it/sec, feas=True, obj=0.103]
INFO - 10:04:23: 26%|██▌ | 65/250 [00:00<00:00, 355.32 it/sec, feas=True, obj=0.103]
INFO - 10:04:23: 26%|██▋ | 66/250 [00:00<00:00, 355.37 it/sec, feas=True, obj=0.103]
INFO - 10:04:23: 27%|██▋ | 67/250 [00:00<00:00, 355.48 it/sec, feas=True, obj=0.108]
INFO - 10:04:23: 27%|██▋ | 68/250 [00:00<00:00, 355.57 it/sec, feas=True, obj=0.103]
INFO - 10:04:23: 28%|██▊ | 69/250 [00:00<00:00, 355.75 it/sec, feas=True, obj=0.103]
INFO - 10:04:23: 28%|██▊ | 70/250 [00:00<00:00, 355.59 it/sec, feas=True, obj=0.103]
INFO - 10:04:23: 28%|██▊ | 71/250 [00:00<00:00, 355.60 it/sec, feas=True, obj=0.103]
INFO - 10:04:23: 29%|██▉ | 72/250 [00:00<00:00, 355.70 it/sec, feas=True, obj=0.103]
INFO - 10:04:23: 29%|██▉ | 73/250 [00:00<00:00, 355.84 it/sec, feas=True, obj=0.103]
INFO - 10:04:23: 30%|██▉ | 74/250 [00:00<00:00, 355.99 it/sec, feas=True, obj=0.114]
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INFO - 10:04:23: 30%|███ | 76/250 [00:00<00:00, 356.16 it/sec, feas=True, obj=0.103]
INFO - 10:04:23: 31%|███ | 77/250 [00:00<00:00, 352.57 it/sec, feas=True, obj=0.102]
INFO - 10:04:23: 31%|███ | 78/250 [00:00<00:00, 352.70 it/sec, feas=True, obj=0.102]
INFO - 10:04:23: 32%|███▏ | 79/250 [00:00<00:00, 352.63 it/sec, feas=True, obj=0.111]
INFO - 10:04:23: 32%|███▏ | 80/250 [00:00<00:00, 352.68 it/sec, feas=True, obj=0.102]
INFO - 10:04:23: 32%|███▏ | 81/250 [00:00<00:00, 351.57 it/sec, feas=True, obj=0.102]
INFO - 10:04:23: 33%|███▎ | 82/250 [00:00<00:00, 351.67 it/sec, feas=True, obj=0.102]
INFO - 10:04:23: 33%|███▎ | 83/250 [00:00<00:00, 351.57 it/sec, feas=True, obj=0.102]
INFO - 10:04:23: 34%|███▎ | 84/250 [00:00<00:00, 351.50 it/sec, feas=True, obj=0.102]
INFO - 10:04:23: 34%|███▍ | 85/250 [00:00<00:00, 351.37 it/sec, feas=True, obj=0.102]
INFO - 10:04:23: 34%|███▍ | 86/250 [00:00<00:00, 351.26 it/sec, feas=True, obj=0.102]
INFO - 10:04:23: 35%|███▍ | 87/250 [00:00<00:00, 351.16 it/sec, feas=True, obj=0.102]
INFO - 10:04:23: 35%|███▌ | 88/250 [00:00<00:00, 351.14 it/sec, feas=True, obj=0.102]
INFO - 10:04:23: 36%|███▌ | 89/250 [00:00<00:00, 351.23 it/sec, feas=True, obj=0.102]
INFO - 10:04:23: 36%|███▌ | 90/250 [00:00<00:00, 349.67 it/sec, feas=True, obj=0.102]
INFO - 10:04:23: 36%|███▋ | 91/250 [00:00<00:00, 349.54 it/sec, feas=True, obj=0.102]
INFO - 10:04:23: 37%|███▋ | 92/250 [00:00<00:00, 349.49 it/sec, feas=True, obj=0.102]
INFO - 10:04:23: 37%|███▋ | 93/250 [00:00<00:00, 349.40 it/sec, feas=True, obj=0.102]
INFO - 10:04:23: 38%|███▊ | 94/250 [00:00<00:00, 349.32 it/sec, feas=True, obj=0.102]
INFO - 10:04:23: 38%|███▊ | 95/250 [00:00<00:00, 349.24 it/sec, feas=True, obj=0.102]
INFO - 10:04:23: 38%|███▊ | 96/250 [00:00<00:00, 349.16 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 39%|███▉ | 97/250 [00:00<00:00, 349.12 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 39%|███▉ | 98/250 [00:00<00:00, 349.07 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 40%|███▉ | 99/250 [00:00<00:00, 349.05 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 40%|████ | 100/250 [00:00<00:00, 349.00 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 40%|████ | 101/250 [00:00<00:00, 348.97 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 41%|████ | 102/250 [00:00<00:00, 349.16 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 41%|████ | 103/250 [00:00<00:00, 346.90 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 42%|████▏ | 104/250 [00:00<00:00, 346.81 it/sec, feas=True, obj=0.104]
INFO - 10:04:23: 42%|████▏ | 105/250 [00:00<00:00, 346.70 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 42%|████▏ | 106/250 [00:00<00:00, 346.67 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 43%|████▎ | 107/250 [00:00<00:00, 346.59 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 43%|████▎ | 108/250 [00:00<00:00, 346.52 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 44%|████▎ | 109/250 [00:00<00:00, 346.50 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 44%|████▍ | 110/250 [00:00<00:00, 346.45 it/sec, feas=True, obj=0.101]
INFO - 10:04:23: 44%|████▍ | 111/250 [00:00<00:00, 346.40 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 45%|████▍ | 112/250 [00:00<00:00, 346.35 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 45%|████▌ | 113/250 [00:00<00:00, 346.38 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 46%|████▌ | 114/250 [00:00<00:00, 346.33 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 46%|████▌ | 115/250 [00:00<00:00, 346.30 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 46%|████▋ | 116/250 [00:00<00:00, 346.38 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 47%|████▋ | 117/250 [00:00<00:00, 346.45 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 47%|████▋ | 118/250 [00:00<00:00, 346.47 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 48%|████▊ | 119/250 [00:00<00:00, 346.35 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 48%|████▊ | 120/250 [00:00<00:00, 346.44 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 48%|████▊ | 121/250 [00:00<00:00, 346.08 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 49%|████▉ | 122/250 [00:00<00:00, 345.97 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 49%|████▉ | 123/250 [00:00<00:00, 345.92 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 50%|████▉ | 124/250 [00:00<00:00, 345.91 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 50%|█████ | 125/250 [00:00<00:00, 345.91 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 50%|█████ | 126/250 [00:00<00:00, 345.98 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 51%|█████ | 127/250 [00:00<00:00, 345.97 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 51%|█████ | 128/250 [00:00<00:00, 345.99 it/sec, feas=True, obj=0.125]
INFO - 10:04:24: 52%|█████▏ | 129/250 [00:00<00:00, 345.97 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 52%|█████▏ | 130/250 [00:00<00:00, 345.93 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 52%|█████▏ | 131/250 [00:00<00:00, 345.88 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 53%|█████▎ | 132/250 [00:00<00:00, 345.86 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 53%|█████▎ | 133/250 [00:00<00:00, 345.86 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 54%|█████▎ | 134/250 [00:00<00:00, 346.03 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 54%|█████▍ | 135/250 [00:00<00:00, 346.02 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 54%|█████▍ | 136/250 [00:00<00:00, 346.00 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 55%|█████▍ | 137/250 [00:00<00:00, 345.99 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 55%|█████▌ | 138/250 [00:00<00:00, 345.96 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 56%|█████▌ | 139/250 [00:00<00:00, 345.95 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 56%|█████▌ | 140/250 [00:00<00:00, 345.96 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 56%|█████▋ | 141/250 [00:00<00:00, 345.86 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 57%|█████▋ | 142/250 [00:00<00:00, 345.85 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 57%|█████▋ | 143/250 [00:00<00:00, 345.82 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 58%|█████▊ | 144/250 [00:00<00:00, 345.79 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 58%|█████▊ | 145/250 [00:00<00:00, 345.76 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 58%|█████▊ | 146/250 [00:00<00:00, 345.72 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 59%|█████▉ | 147/250 [00:00<00:00, 345.10 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 59%|█████▉ | 148/250 [00:00<00:00, 345.07 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 60%|█████▉ | 149/250 [00:00<00:00, 345.06 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 60%|██████ | 150/250 [00:00<00:00, 344.94 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 60%|██████ | 151/250 [00:00<00:00, 344.99 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 61%|██████ | 152/250 [00:00<00:00, 345.03 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 61%|██████ | 153/250 [00:00<00:00, 345.03 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 62%|██████▏ | 154/250 [00:00<00:00, 343.44 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 62%|██████▏ | 155/250 [00:00<00:00, 343.54 it/sec, feas=True, obj=0.0999]
INFO - 10:04:24: 62%|██████▏ | 156/250 [00:00<00:00, 343.52 it/sec, feas=True, obj=0.0999]
INFO - 10:04:24: 63%|██████▎ | 157/250 [00:00<00:00, 343.60 it/sec, feas=True, obj=0.0999]
INFO - 10:04:24: 63%|██████▎ | 158/250 [00:00<00:00, 343.19 it/sec, feas=True, obj=0.0999]
INFO - 10:04:24: 64%|██████▎ | 159/250 [00:00<00:00, 343.31 it/sec, feas=True, obj=0.0999]
INFO - 10:04:24: 64%|██████▍ | 160/250 [00:00<00:00, 343.31 it/sec, feas=True, obj=0.0998]
INFO - 10:04:24: 64%|██████▍ | 161/250 [00:00<00:00, 343.00 it/sec, feas=True, obj=0.0998]
INFO - 10:04:24: 65%|██████▍ | 162/250 [00:00<00:00, 343.09 it/sec, feas=True, obj=0.0998]
INFO - 10:04:24: 65%|██████▌ | 163/250 [00:00<00:00, 343.11 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 66%|██████▌ | 164/250 [00:00<00:00, 343.08 it/sec, feas=True, obj=0.0997]
INFO - 10:04:24: 66%|██████▌ | 165/250 [00:00<00:00, 343.16 it/sec, feas=True, obj=0.0999]
INFO - 10:04:24: 66%|██████▋ | 166/250 [00:00<00:00, 343.16 it/sec, feas=True, obj=0.0997]
INFO - 10:04:24: 67%|██████▋ | 167/250 [00:00<00:00, 342.64 it/sec, feas=True, obj=0.0997]
INFO - 10:04:24: 67%|██████▋ | 168/250 [00:00<00:00, 342.75 it/sec, feas=True, obj=0.0997]
INFO - 10:04:24: 68%|██████▊ | 169/250 [00:00<00:00, 342.81 it/sec, feas=True, obj=0.0996]
INFO - 10:04:24: 68%|██████▊ | 170/250 [00:00<00:00, 342.81 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 68%|██████▊ | 171/250 [00:00<00:00, 342.79 it/sec, feas=True, obj=0.0996]
INFO - 10:04:24: 69%|██████▉ | 172/250 [00:00<00:00, 342.82 it/sec, feas=True, obj=0.0996]
INFO - 10:04:24: 69%|██████▉ | 173/250 [00:00<00:00, 342.79 it/sec, feas=True, obj=0.0995]
INFO - 10:04:24: 70%|██████▉ | 174/250 [00:00<00:00, 342.85 it/sec, feas=True, obj=0.0995]
INFO - 10:04:24: 70%|███████ | 175/250 [00:00<00:00, 342.92 it/sec, feas=True, obj=0.0995]
INFO - 10:04:24: 70%|███████ | 176/250 [00:00<00:00, 343.03 it/sec, feas=True, obj=0.0995]
INFO - 10:04:24: 71%|███████ | 177/250 [00:00<00:00, 343.04 it/sec, feas=True, obj=0.0994]
INFO - 10:04:24: 71%|███████ | 178/250 [00:00<00:00, 343.02 it/sec, feas=True, obj=0.0995]
INFO - 10:04:24: 72%|███████▏ | 179/250 [00:00<00:00, 342.98 it/sec, feas=True, obj=0.0994]
INFO - 10:04:24: 72%|███████▏ | 180/250 [00:00<00:00, 342.97 it/sec, feas=True, obj=0.0994]
INFO - 10:04:24: 72%|███████▏ | 181/250 [00:00<00:00, 342.94 it/sec, feas=True, obj=0.0994]
INFO - 10:04:24: 73%|███████▎ | 182/250 [00:00<00:00, 342.94 it/sec, feas=True, obj=0.0994]
INFO - 10:04:24: 73%|███████▎ | 183/250 [00:00<00:00, 342.91 it/sec, feas=True, obj=0.0994]
INFO - 10:04:24: 74%|███████▎ | 184/250 [00:00<00:00, 342.97 it/sec, feas=True, obj=0.0994]
INFO - 10:04:24: 74%|███████▍ | 185/250 [00:00<00:00, 343.08 it/sec, feas=True, obj=0.0994]
INFO - 10:04:24: 74%|███████▍ | 186/250 [00:00<00:00, 343.06 it/sec, feas=True, obj=0.0993]
INFO - 10:04:24: 75%|███████▍ | 187/250 [00:00<00:00, 343.15 it/sec, feas=True, obj=0.0993]
INFO - 10:04:24: 75%|███████▌ | 188/250 [00:00<00:00, 343.23 it/sec, feas=True, obj=0.0993]
INFO - 10:04:24: 76%|███████▌ | 189/250 [00:00<00:00, 343.32 it/sec, feas=True, obj=0.0993]
INFO - 10:04:24: 76%|███████▌ | 190/250 [00:00<00:00, 343.45 it/sec, feas=True, obj=0.0993]
INFO - 10:04:24: 76%|███████▋ | 191/250 [00:00<00:00, 343.55 it/sec, feas=True, obj=0.0993]
INFO - 10:04:24: 77%|███████▋ | 192/250 [00:00<00:00, 343.66 it/sec, feas=True, obj=0.0993]
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INFO - 10:04:24: 78%|███████▊ | 194/250 [00:00<00:00, 343.85 it/sec, feas=True, obj=0.0993]
INFO - 10:04:24: 78%|███████▊ | 195/250 [00:00<00:00, 343.81 it/sec, feas=True, obj=0.0993]
INFO - 10:04:24: 78%|███████▊ | 196/250 [00:00<00:00, 343.88 it/sec, feas=True, obj=0.0992]
INFO - 10:04:24: 79%|███████▉ | 197/250 [00:00<00:00, 343.97 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 79%|███████▉ | 198/250 [00:00<00:00, 344.05 it/sec, feas=True, obj=0.0992]
INFO - 10:04:24: 80%|███████▉ | 199/250 [00:00<00:00, 344.17 it/sec, feas=True, obj=0.0992]
INFO - 10:04:24: 80%|████████ | 200/250 [00:00<00:00, 344.25 it/sec, feas=True, obj=0.0992]
INFO - 10:04:24: 80%|████████ | 201/250 [00:00<00:00, 344.34 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 81%|████████ | 202/250 [00:00<00:00, 344.41 it/sec, feas=True, obj=0.0992]
INFO - 10:04:24: 81%|████████ | 203/250 [00:00<00:00, 344.53 it/sec, feas=True, obj=0.0992]
INFO - 10:04:24: 82%|████████▏ | 204/250 [00:00<00:00, 344.53 it/sec, feas=True, obj=0.0992]
INFO - 10:04:24: 82%|████████▏ | 205/250 [00:00<00:00, 344.62 it/sec, feas=True, obj=0.0993]
INFO - 10:04:24: 82%|████████▏ | 206/250 [00:00<00:00, 344.64 it/sec, feas=True, obj=0.0992]
INFO - 10:04:24: 83%|████████▎ | 207/250 [00:00<00:00, 344.70 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 83%|████████▎ | 208/250 [00:00<00:00, 344.81 it/sec, feas=True, obj=0.0992]
INFO - 10:04:24: 84%|████████▎ | 209/250 [00:00<00:00, 344.87 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 84%|████████▍ | 210/250 [00:00<00:00, 344.94 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 84%|████████▍ | 211/250 [00:00<00:00, 345.04 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 85%|████████▍ | 212/250 [00:00<00:00, 345.14 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 85%|████████▌ | 213/250 [00:00<00:00, 345.18 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 86%|████████▌ | 214/250 [00:00<00:00, 345.24 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 86%|████████▌ | 215/250 [00:00<00:00, 345.31 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 86%|████████▋ | 216/250 [00:00<00:00, 345.41 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 87%|████████▋ | 217/250 [00:00<00:00, 345.40 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 87%|████████▋ | 218/250 [00:00<00:00, 345.48 it/sec, feas=True, obj=0.0993]
INFO - 10:04:24: 88%|████████▊ | 219/250 [00:00<00:00, 345.52 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 88%|████████▊ | 220/250 [00:00<00:00, 345.58 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 88%|████████▊ | 221/250 [00:00<00:00, 344.56 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 89%|████████▉ | 222/250 [00:00<00:00, 344.65 it/sec, feas=True, obj=0.0993]
INFO - 10:04:24: 89%|████████▉ | 223/250 [00:00<00:00, 344.70 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 90%|████████▉ | 224/250 [00:00<00:00, 344.66 it/sec, feas=True, obj=0.111]
INFO - 10:04:24: 90%|█████████ | 225/250 [00:00<00:00, 344.75 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 90%|█████████ | 226/250 [00:00<00:00, 344.84 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 91%|█████████ | 227/250 [00:00<00:00, 344.95 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 91%|█████████ | 228/250 [00:00<00:00, 345.01 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 92%|█████████▏| 229/250 [00:00<00:00, 345.07 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 92%|█████████▏| 230/250 [00:00<00:00, 343.10 it/sec, feas=True, obj=0.0993]
INFO - 10:04:24: 92%|█████████▏| 231/250 [00:00<00:00, 343.14 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 93%|█████████▎| 232/250 [00:00<00:00, 343.17 it/sec, feas=True, obj=0.0995]
INFO - 10:04:24: 93%|█████████▎| 233/250 [00:00<00:00, 343.23 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 94%|█████████▎| 234/250 [00:00<00:00, 343.28 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 94%|█████████▍| 235/250 [00:00<00:00, 343.30 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 94%|█████████▍| 236/250 [00:00<00:00, 343.31 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 95%|█████████▍| 237/250 [00:00<00:00, 343.39 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 95%|█████████▌| 238/250 [00:00<00:00, 343.48 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 96%|█████████▌| 239/250 [00:00<00:00, 343.45 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 96%|█████████▌| 240/250 [00:00<00:00, 343.41 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 96%|█████████▋| 241/250 [00:00<00:00, 343.42 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 97%|█████████▋| 242/250 [00:00<00:00, 342.59 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 97%|█████████▋| 243/250 [00:00<00:00, 342.67 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 98%|█████████▊| 244/250 [00:00<00:00, 342.67 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 98%|█████████▊| 245/250 [00:00<00:00, 342.75 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 98%|█████████▊| 246/250 [00:00<00:00, 342.75 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 99%|█████████▉| 247/250 [00:00<00:00, 342.77 it/sec, feas=True, obj=0.0994]
INFO - 10:04:24: 99%|█████████▉| 248/250 [00:00<00:00, 342.77 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 100%|█████████▉| 249/250 [00:00<00:00, 342.84 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: 100%|██████████| 250/250 [00:00<00:00, 342.85 it/sec, feas=True, obj=0.0991]
INFO - 10:04:24: Optimization result:
INFO - 10:04:24: Optimizer info:
INFO - 10:04:24: Status: None
INFO - 10:04:24: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 10:04:24: Solution:
INFO - 10:04:24: Objective: 0.09908571534962375
INFO - 10:04:24: Design space:
INFO - 10:04:24: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:24: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:24: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:24: | left_asymptote | 0 | 0.003359310714053415 | 0.01318893484301132 | float |
INFO - 10:04:24: | capacity | 0.003138431245171017 | 0.1318893484301132 | 0.1318893484301132 | float |
INFO - 10:04:24: | growth_rate | 0.0001932855905600599 | 0.0001932855905600599 | 0.001739570315040539 | float |
INFO - 10:04:24: | x_lag | 0 | 18545.43647014385 | 37043.63193300553 | float |
INFO - 10:04:24: | logistic_nu | 0.1 | 0.4232038534602564 | 10 | float |
INFO - 10:04:24: | asymptote_coeff | 0.1 | 3.114563166681114 | 10 | float |
INFO - 10:04:24: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:24: Optimization problem:
INFO - 10:04:24: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:24: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:24: over the design space:
INFO - 10:04:24: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:24: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:24: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:24: | left_asymptote | 0 | 0.005313492504144272 | 0.01318893484301132 | float |
INFO - 10:04:24: | capacity | 0.003138431245171017 | 0.06780775845033955 | 0.1318893484301132 | float |
INFO - 10:04:24: | growth_rate | 0.0001932855905600599 | 0.001142260590496188 | 0.001739570315040539 | float |
INFO - 10:04:24: | x_lag | 0 | 699.2057132684077 | 37043.63193300553 | float |
INFO - 10:04:24: | logistic_nu | 0.1 | 2.587510942749914 | 10 | float |
INFO - 10:04:24: | asymptote_coeff | 0.1 | 0.7930309738998174 | 10 | float |
INFO - 10:04:24: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:24: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:24: 1%| | 2/250 [00:00<00:00, 314.14 it/sec, feas=True, obj=0.573]
INFO - 10:04:24: 1%| | 3/250 [00:00<00:00, 340.97 it/sec, feas=True, obj=0.37]
INFO - 10:04:24: 2%|▏ | 4/250 [00:00<00:00, 342.53 it/sec, feas=True, obj=0.309]
INFO - 10:04:24: 2%|▏ | 5/250 [00:00<00:00, 345.61 it/sec, feas=True, obj=0.297]
INFO - 10:04:24: 2%|▏ | 6/250 [00:00<00:00, 349.66 it/sec, feas=True, obj=0.276]
INFO - 10:04:24: 3%|▎ | 7/250 [00:00<00:00, 350.13 it/sec, feas=True, obj=0.23]
INFO - 10:04:24: 3%|▎ | 8/250 [00:00<00:00, 350.62 it/sec, feas=True, obj=0.186]
INFO - 10:04:24: 4%|▎ | 9/250 [00:00<00:00, 350.52 it/sec, feas=True, obj=0.175]
INFO - 10:04:24: 4%|▍ | 10/250 [00:00<00:00, 350.18 it/sec, feas=True, obj=0.16]
INFO - 10:04:24: 4%|▍ | 11/250 [00:00<00:00, 350.11 it/sec, feas=True, obj=0.154]
INFO - 10:04:24: 5%|▍ | 12/250 [00:00<00:00, 350.04 it/sec, feas=True, obj=0.144]
INFO - 10:04:24: 5%|▌ | 13/250 [00:00<00:00, 350.44 it/sec, feas=True, obj=0.153]
INFO - 10:04:24: 6%|▌ | 14/250 [00:00<00:00, 350.00 it/sec, feas=True, obj=0.121]
INFO - 10:04:24: 6%|▌ | 15/250 [00:00<00:00, 350.21 it/sec, feas=True, obj=0.176]
INFO - 10:04:24: 6%|▋ | 16/250 [00:00<00:00, 349.93 it/sec, feas=True, obj=0.117]
INFO - 10:04:24: 7%|▋ | 17/250 [00:00<00:00, 349.40 it/sec, feas=True, obj=0.111]
INFO - 10:04:24: 7%|▋ | 18/250 [00:00<00:00, 349.37 it/sec, feas=True, obj=0.11]
INFO - 10:04:24: 8%|▊ | 19/250 [00:00<00:00, 349.55 it/sec, feas=True, obj=0.11]
INFO - 10:04:24: 8%|▊ | 20/250 [00:00<00:00, 349.17 it/sec, feas=True, obj=0.11]
INFO - 10:04:24: 8%|▊ | 21/250 [00:00<00:00, 349.05 it/sec, feas=True, obj=0.11]
INFO - 10:04:24: 9%|▉ | 22/250 [00:00<00:00, 348.98 it/sec, feas=True, obj=0.11]
INFO - 10:04:24: 9%|▉ | 23/250 [00:00<00:00, 348.67 it/sec, feas=True, obj=0.11]
INFO - 10:04:24: 10%|▉ | 24/250 [00:00<00:00, 348.26 it/sec, feas=True, obj=0.109]
INFO - 10:04:24: 10%|█ | 25/250 [00:00<00:00, 348.08 it/sec, feas=True, obj=0.109]
INFO - 10:04:24: 10%|█ | 26/250 [00:00<00:00, 347.87 it/sec, feas=True, obj=0.108]
INFO - 10:04:24: 11%|█ | 27/250 [00:00<00:00, 347.97 it/sec, feas=True, obj=0.115]
INFO - 10:04:24: 11%|█ | 28/250 [00:00<00:00, 348.01 it/sec, feas=True, obj=0.107]
INFO - 10:04:24: 12%|█▏ | 29/250 [00:00<00:00, 348.73 it/sec, feas=True, obj=0.107]
INFO - 10:04:24: 12%|█▏ | 30/250 [00:00<00:00, 348.37 it/sec, feas=True, obj=0.107]
INFO - 10:04:24: 12%|█▏ | 31/250 [00:00<00:00, 347.65 it/sec, feas=True, obj=0.107]
INFO - 10:04:24: 13%|█▎ | 32/250 [00:00<00:00, 345.85 it/sec, feas=True, obj=0.106]
INFO - 10:04:24: 13%|█▎ | 33/250 [00:00<00:00, 346.06 it/sec, feas=True, obj=0.117]
INFO - 10:04:24: 14%|█▎ | 34/250 [00:00<00:00, 346.54 it/sec, feas=True, obj=0.106]
INFO - 10:04:24: 14%|█▍ | 35/250 [00:00<00:00, 346.95 it/sec, feas=True, obj=0.114]
INFO - 10:04:24: 14%|█▍ | 36/250 [00:00<00:00, 347.21 it/sec, feas=True, obj=0.106]
INFO - 10:04:24: 15%|█▍ | 37/250 [00:00<00:00, 347.76 it/sec, feas=True, obj=0.113]
INFO - 10:04:24: 15%|█▌ | 38/250 [00:00<00:00, 348.27 it/sec, feas=True, obj=0.106]
INFO - 10:04:24: 16%|█▌ | 39/250 [00:00<00:00, 348.69 it/sec, feas=True, obj=0.113]
INFO - 10:04:24: 16%|█▌ | 40/250 [00:00<00:00, 348.70 it/sec, feas=True, obj=0.106]
INFO - 10:04:24: 16%|█▋ | 41/250 [00:00<00:00, 343.55 it/sec, feas=True, obj=0.113]
INFO - 10:04:24: 17%|█▋ | 42/250 [00:00<00:00, 343.65 it/sec, feas=True, obj=0.106]
INFO - 10:04:24: 17%|█▋ | 43/250 [00:00<00:00, 343.67 it/sec, feas=True, obj=0.106]
INFO - 10:04:24: 18%|█▊ | 44/250 [00:00<00:00, 342.81 it/sec, feas=True, obj=0.106]
INFO - 10:04:24: 18%|█▊ | 45/250 [00:00<00:00, 342.89 it/sec, feas=True, obj=0.106]
INFO - 10:04:24: 18%|█▊ | 46/250 [00:00<00:00, 337.14 it/sec, feas=True, obj=0.106]
INFO - 10:04:24: 19%|█▉ | 47/250 [00:00<00:00, 337.24 it/sec, feas=True, obj=0.106]
INFO - 10:04:24: 19%|█▉ | 48/250 [00:00<00:00, 337.06 it/sec, feas=True, obj=0.106]
INFO - 10:04:24: 20%|█▉ | 49/250 [00:00<00:00, 337.18 it/sec, feas=True, obj=0.106]
INFO - 10:04:24: 20%|██ | 50/250 [00:00<00:00, 337.35 it/sec, feas=True, obj=0.106]
INFO - 10:04:24: 20%|██ | 51/250 [00:00<00:00, 337.22 it/sec, feas=True, obj=0.106]
INFO - 10:04:24: 21%|██ | 52/250 [00:00<00:00, 337.36 it/sec, feas=True, obj=0.106]
INFO - 10:04:24: 21%|██ | 53/250 [00:00<00:00, 337.53 it/sec, feas=True, obj=0.112]
INFO - 10:04:24: 22%|██▏ | 54/250 [00:00<00:00, 337.51 it/sec, feas=True, obj=0.105]
INFO - 10:04:24: 22%|██▏ | 55/250 [00:00<00:00, 337.70 it/sec, feas=True, obj=0.105]
INFO - 10:04:24: 22%|██▏ | 56/250 [00:00<00:00, 337.79 it/sec, feas=True, obj=0.105]
INFO - 10:04:24: 23%|██▎ | 57/250 [00:00<00:00, 337.73 it/sec, feas=True, obj=0.193]
INFO - 10:04:24: 23%|██▎ | 58/250 [00:00<00:00, 337.93 it/sec, feas=True, obj=0.105]
INFO - 10:04:24: 24%|██▎ | 59/250 [00:00<00:00, 338.03 it/sec, feas=True, obj=0.105]
INFO - 10:04:24: 24%|██▍ | 60/250 [00:00<00:00, 337.92 it/sec, feas=True, obj=0.105]
INFO - 10:04:24: 24%|██▍ | 61/250 [00:00<00:00, 338.07 it/sec, feas=True, obj=1]
INFO - 10:04:24: 25%|██▍ | 62/250 [00:00<00:00, 337.80 it/sec, feas=True, obj=0.105]
INFO - 10:04:24: 25%|██▌ | 63/250 [00:00<00:00, 338.29 it/sec, feas=True, obj=0.213]
INFO - 10:04:24: 26%|██▌ | 64/250 [00:00<00:00, 338.25 it/sec, feas=True, obj=0.105]
INFO - 10:04:24: 26%|██▌ | 65/250 [00:00<00:00, 338.45 it/sec, feas=True, obj=0.105]
INFO - 10:04:24: 26%|██▋ | 66/250 [00:00<00:00, 338.82 it/sec, feas=True, obj=1]
INFO - 10:04:24: 27%|██▋ | 67/250 [00:00<00:00, 339.09 it/sec, feas=True, obj=0.105]
INFO - 10:04:24: 27%|██▋ | 68/250 [00:00<00:00, 339.36 it/sec, feas=True, obj=0.105]
INFO - 10:04:24: 28%|██▊ | 69/250 [00:00<00:00, 339.80 it/sec, feas=True, obj=0.655]
INFO - 10:04:24: 28%|██▊ | 70/250 [00:00<00:00, 340.16 it/sec, feas=True, obj=0.105]
INFO - 10:04:24: 28%|██▊ | 71/250 [00:00<00:00, 340.44 it/sec, feas=True, obj=0.105]
INFO - 10:04:24: 29%|██▉ | 72/250 [00:00<00:00, 337.46 it/sec, feas=True, obj=0.105]
INFO - 10:04:24: 29%|██▉ | 73/250 [00:00<00:00, 337.90 it/sec, feas=True, obj=0.325]
INFO - 10:04:24: 30%|██▉ | 74/250 [00:00<00:00, 338.20 it/sec, feas=True, obj=0.104]
INFO - 10:04:24: 30%|███ | 75/250 [00:00<00:00, 338.53 it/sec, feas=True, obj=0.17]
INFO - 10:04:24: 30%|███ | 76/250 [00:00<00:00, 338.80 it/sec, feas=True, obj=0.104]
INFO - 10:04:24: 31%|███ | 77/250 [00:00<00:00, 339.14 it/sec, feas=True, obj=0.118]
INFO - 10:04:24: 31%|███ | 78/250 [00:00<00:00, 339.42 it/sec, feas=True, obj=0.104]
INFO - 10:04:24: 32%|███▏ | 79/250 [00:00<00:00, 339.65 it/sec, feas=True, obj=0.104]
INFO - 10:04:24: 32%|███▏ | 80/250 [00:00<00:00, 339.98 it/sec, feas=True, obj=0.427]
INFO - 10:04:24: 32%|███▏ | 81/250 [00:00<00:00, 339.62 it/sec, feas=True, obj=0.104]
INFO - 10:04:24: 33%|███▎ | 82/250 [00:00<00:00, 339.95 it/sec, feas=True, obj=0.104]
INFO - 10:04:24: 33%|███▎ | 83/250 [00:00<00:00, 340.25 it/sec, feas=True, obj=0.104]
INFO - 10:04:24: 34%|███▎ | 84/250 [00:00<00:00, 340.46 it/sec, feas=True, obj=0.104]
INFO - 10:04:24: 34%|███▍ | 85/250 [00:00<00:00, 340.80 it/sec, feas=True, obj=0.104]
INFO - 10:04:24: 34%|███▍ | 86/250 [00:00<00:00, 341.09 it/sec, feas=True, obj=0.103]
INFO - 10:04:24: 35%|███▍ | 87/250 [00:00<00:00, 341.32 it/sec, feas=True, obj=0.103]
INFO - 10:04:24: 35%|███▌ | 88/250 [00:00<00:00, 341.56 it/sec, feas=True, obj=0.103]
INFO - 10:04:24: 36%|███▌ | 89/250 [00:00<00:00, 341.80 it/sec, feas=True, obj=0.104]
INFO - 10:04:24: 36%|███▌ | 90/250 [00:00<00:00, 341.98 it/sec, feas=True, obj=0.103]
INFO - 10:04:24: 36%|███▋ | 91/250 [00:00<00:00, 342.16 it/sec, feas=True, obj=0.103]
INFO - 10:04:24: 37%|███▋ | 92/250 [00:00<00:00, 342.33 it/sec, feas=True, obj=0.103]
INFO - 10:04:24: 37%|███▋ | 93/250 [00:00<00:00, 340.21 it/sec, feas=True, obj=0.108]
INFO - 10:04:24: 38%|███▊ | 94/250 [00:00<00:00, 340.29 it/sec, feas=True, obj=0.103]
INFO - 10:04:24: 38%|███▊ | 95/250 [00:00<00:00, 340.34 it/sec, feas=True, obj=0.103]
INFO - 10:04:24: 38%|███▊ | 96/250 [00:00<00:00, 340.34 it/sec, feas=True, obj=0.103]
INFO - 10:04:24: 39%|███▉ | 97/250 [00:00<00:00, 340.38 it/sec, feas=True, obj=0.103]
INFO - 10:04:24: 39%|███▉ | 98/250 [00:00<00:00, 340.40 it/sec, feas=True, obj=0.103]
INFO - 10:04:24: 40%|███▉ | 99/250 [00:00<00:00, 340.45 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 40%|████ | 100/250 [00:00<00:00, 340.54 it/sec, feas=True, obj=0.103]
INFO - 10:04:24: 40%|████ | 101/250 [00:00<00:00, 340.75 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 41%|████ | 102/250 [00:00<00:00, 340.99 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 41%|████ | 103/250 [00:00<00:00, 341.02 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 42%|████▏ | 104/250 [00:00<00:00, 341.07 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 42%|████▏ | 105/250 [00:00<00:00, 341.22 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 42%|████▏ | 106/250 [00:00<00:00, 341.41 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 43%|████▎ | 107/250 [00:00<00:00, 340.32 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 43%|████▎ | 108/250 [00:00<00:00, 340.28 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 44%|████▎ | 109/250 [00:00<00:00, 340.31 it/sec, feas=True, obj=0.104]
INFO - 10:04:24: 44%|████▍ | 110/250 [00:00<00:00, 340.19 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 44%|████▍ | 111/250 [00:00<00:00, 340.28 it/sec, feas=True, obj=0.104]
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INFO - 10:04:24: 45%|████▌ | 113/250 [00:00<00:00, 340.29 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 46%|████▌ | 114/250 [00:00<00:00, 340.31 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 46%|████▌ | 115/250 [00:00<00:00, 340.33 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 46%|████▋ | 116/250 [00:00<00:00, 340.34 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 47%|████▋ | 117/250 [00:00<00:00, 340.46 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 47%|████▋ | 118/250 [00:00<00:00, 340.60 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 48%|████▊ | 119/250 [00:00<00:00, 340.75 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 48%|████▊ | 120/250 [00:00<00:00, 340.90 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 48%|████▊ | 121/250 [00:00<00:00, 340.91 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 49%|████▉ | 122/250 [00:00<00:00, 340.95 it/sec, feas=True, obj=0.103]
INFO - 10:04:24: 49%|████▉ | 123/250 [00:00<00:00, 340.95 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 50%|████▉ | 124/250 [00:00<00:00, 339.36 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 50%|█████ | 125/250 [00:00<00:00, 339.20 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 50%|█████ | 126/250 [00:00<00:00, 339.16 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 51%|█████ | 127/250 [00:00<00:00, 339.16 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 51%|█████ | 128/250 [00:00<00:00, 339.05 it/sec, feas=True, obj=0.108]
INFO - 10:04:24: 52%|█████▏ | 129/250 [00:00<00:00, 339.02 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 52%|█████▏ | 130/250 [00:00<00:00, 338.95 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 52%|█████▏ | 131/250 [00:00<00:00, 338.82 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 53%|█████▎ | 132/250 [00:00<00:00, 338.80 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 53%|█████▎ | 133/250 [00:00<00:00, 338.71 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 54%|█████▎ | 134/250 [00:00<00:00, 338.70 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 54%|█████▍ | 135/250 [00:00<00:00, 338.66 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 54%|█████▍ | 136/250 [00:00<00:00, 338.50 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 55%|█████▍ | 137/250 [00:00<00:00, 338.48 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 55%|█████▌ | 138/250 [00:00<00:00, 338.45 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 56%|█████▌ | 139/250 [00:00<00:00, 338.37 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 56%|█████▌ | 140/250 [00:00<00:00, 338.34 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 56%|█████▋ | 141/250 [00:00<00:00, 338.32 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 57%|█████▋ | 142/250 [00:00<00:00, 338.22 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 57%|█████▋ | 143/250 [00:00<00:00, 338.23 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 58%|█████▊ | 144/250 [00:00<00:00, 338.25 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 58%|█████▊ | 145/250 [00:00<00:00, 338.18 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 58%|█████▊ | 146/250 [00:00<00:00, 338.25 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 59%|█████▉ | 147/250 [00:00<00:00, 338.29 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 59%|█████▉ | 148/250 [00:00<00:00, 336.84 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 60%|█████▉ | 149/250 [00:00<00:00, 336.99 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 60%|██████ | 150/250 [00:00<00:00, 337.12 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 60%|██████ | 151/250 [00:00<00:00, 337.24 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 61%|██████ | 152/250 [00:00<00:00, 337.38 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 61%|██████ | 153/250 [00:00<00:00, 335.97 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 62%|██████▏ | 154/250 [00:00<00:00, 335.98 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 62%|██████▏ | 155/250 [00:00<00:00, 336.08 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 62%|██████▏ | 156/250 [00:00<00:00, 336.08 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 63%|██████▎ | 157/250 [00:00<00:00, 336.10 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 63%|██████▎ | 158/250 [00:00<00:00, 336.10 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 64%|██████▎ | 159/250 [00:00<00:00, 336.12 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 64%|██████▍ | 160/250 [00:00<00:00, 336.13 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 64%|██████▍ | 161/250 [00:00<00:00, 336.17 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 65%|██████▍ | 162/250 [00:00<00:00, 336.22 it/sec, feas=True, obj=0.101]
INFO - 10:04:24: 65%|██████▌ | 163/250 [00:00<00:00, 336.25 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 66%|██████▌ | 164/250 [00:00<00:00, 336.29 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 66%|██████▌ | 165/250 [00:00<00:00, 336.17 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 66%|██████▋ | 166/250 [00:00<00:00, 336.18 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 67%|██████▋ | 167/250 [00:00<00:00, 336.29 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 67%|██████▋ | 168/250 [00:00<00:00, 336.42 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 68%|██████▊ | 169/250 [00:00<00:00, 336.58 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 68%|██████▊ | 170/250 [00:00<00:00, 336.58 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 68%|██████▊ | 171/250 [00:00<00:00, 336.63 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 69%|██████▉ | 172/250 [00:00<00:00, 336.66 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 69%|██████▉ | 173/250 [00:00<00:00, 336.69 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 70%|██████▉ | 174/250 [00:00<00:00, 336.33 it/sec, feas=True, obj=0.102]
INFO - 10:04:24: 70%|███████ | 175/250 [00:00<00:00, 336.32 it/sec, feas=True, obj=0.1]
INFO - 10:04:24: 70%|███████ | 176/250 [00:00<00:00, 336.38 it/sec, feas=True, obj=0.0999]
INFO - 10:04:24: 71%|███████ | 177/250 [00:00<00:00, 336.42 it/sec, feas=True, obj=0.0999]
INFO - 10:04:24: 71%|███████ | 178/250 [00:00<00:00, 336.44 it/sec, feas=True, obj=0.0999]
INFO - 10:04:24: 72%|███████▏ | 179/250 [00:00<00:00, 336.46 it/sec, feas=True, obj=0.0998]
INFO - 10:04:24: 72%|███████▏ | 180/250 [00:00<00:00, 336.50 it/sec, feas=True, obj=0.0998]
INFO - 10:04:24: 72%|███████▏ | 181/250 [00:00<00:00, 336.52 it/sec, feas=True, obj=0.0998]
INFO - 10:04:24: 73%|███████▎ | 182/250 [00:00<00:00, 336.53 it/sec, feas=True, obj=0.0998]
INFO - 10:04:24: 73%|███████▎ | 183/250 [00:00<00:00, 335.54 it/sec, feas=True, obj=0.0998]
INFO - 10:04:24: 74%|███████▎ | 184/250 [00:00<00:00, 335.54 it/sec, feas=True, obj=0.0998]
INFO - 10:04:24: 74%|███████▍ | 185/250 [00:00<00:00, 335.55 it/sec, feas=True, obj=0.0997]
INFO - 10:04:24: 74%|███████▍ | 186/250 [00:00<00:00, 335.60 it/sec, feas=True, obj=0.0997]
INFO - 10:04:24: 75%|███████▍ | 187/250 [00:00<00:00, 335.63 it/sec, feas=True, obj=0.0997]
INFO - 10:04:24: 75%|███████▌ | 188/250 [00:00<00:00, 335.66 it/sec, feas=True, obj=0.0997]
INFO - 10:04:24: 76%|███████▌ | 189/250 [00:00<00:00, 335.65 it/sec, feas=True, obj=0.0997]
INFO - 10:04:24: 76%|███████▌ | 190/250 [00:00<00:00, 335.69 it/sec, feas=True, obj=0.0996]
INFO - 10:04:24: 76%|███████▋ | 191/250 [00:00<00:00, 335.80 it/sec, feas=True, obj=0.0996]
INFO - 10:04:24: 77%|███████▋ | 192/250 [00:00<00:00, 335.91 it/sec, feas=True, obj=0.0996]
INFO - 10:04:24: 77%|███████▋ | 193/250 [00:00<00:00, 335.95 it/sec, feas=True, obj=0.0996]
INFO - 10:04:24: 78%|███████▊ | 194/250 [00:00<00:00, 335.75 it/sec, feas=True, obj=0.0996]
INFO - 10:04:24: 78%|███████▊ | 195/250 [00:00<00:00, 335.85 it/sec, feas=True, obj=0.0999]
INFO - 10:04:24: 78%|███████▊ | 196/250 [00:00<00:00, 335.92 it/sec, feas=True, obj=0.0995]
INFO - 10:04:24: 79%|███████▉ | 197/250 [00:00<00:00, 336.05 it/sec, feas=True, obj=0.0995]
INFO - 10:04:25: 79%|███████▉ | 198/250 [00:00<00:00, 336.10 it/sec, feas=True, obj=0.0995]
INFO - 10:04:25: 80%|███████▉ | 199/250 [00:00<00:00, 336.15 it/sec, feas=True, obj=0.0995]
INFO - 10:04:25: 80%|████████ | 200/250 [00:00<00:00, 336.15 it/sec, feas=True, obj=0.0994]
INFO - 10:04:25: 80%|████████ | 201/250 [00:00<00:00, 336.19 it/sec, feas=True, obj=0.0995]
INFO - 10:04:25: 81%|████████ | 202/250 [00:00<00:00, 336.18 it/sec, feas=True, obj=0.0994]
INFO - 10:04:25: 81%|████████ | 203/250 [00:00<00:00, 336.21 it/sec, feas=True, obj=0.0994]
INFO - 10:04:25: 82%|████████▏ | 204/250 [00:00<00:00, 336.18 it/sec, feas=True, obj=0.0995]
INFO - 10:04:25: 82%|████████▏ | 205/250 [00:00<00:00, 336.20 it/sec, feas=True, obj=0.0994]
INFO - 10:04:25: 82%|████████▏ | 206/250 [00:00<00:00, 336.29 it/sec, feas=True, obj=0.0993]
INFO - 10:04:25: 83%|████████▎ | 207/250 [00:00<00:00, 336.32 it/sec, feas=True, obj=0.0993]
INFO - 10:04:25: 83%|████████▎ | 208/250 [00:00<00:00, 336.30 it/sec, feas=True, obj=0.0992]
INFO - 10:04:25: 84%|████████▎ | 209/250 [00:00<00:00, 336.34 it/sec, feas=True, obj=0.0992]
INFO - 10:04:25: 84%|████████▍ | 210/250 [00:00<00:00, 336.41 it/sec, feas=True, obj=0.0992]
INFO - 10:04:25: 84%|████████▍ | 211/250 [00:00<00:00, 336.48 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 85%|████████▍ | 212/250 [00:00<00:00, 336.50 it/sec, feas=True, obj=0.0992]
INFO - 10:04:25: 85%|████████▌ | 213/250 [00:00<00:00, 336.56 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 86%|████████▌ | 214/250 [00:00<00:00, 336.55 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 86%|████████▌ | 215/250 [00:00<00:00, 336.60 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 86%|████████▋ | 216/250 [00:00<00:00, 336.67 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 87%|████████▋ | 217/250 [00:00<00:00, 336.75 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 87%|████████▋ | 218/250 [00:00<00:00, 336.72 it/sec, feas=True, obj=0.0997]
INFO - 10:04:25: 88%|████████▊ | 219/250 [00:00<00:00, 336.70 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 88%|████████▊ | 220/250 [00:00<00:00, 336.70 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 88%|████████▊ | 221/250 [00:00<00:00, 336.63 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 89%|████████▉ | 222/250 [00:00<00:00, 336.64 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 89%|████████▉ | 223/250 [00:00<00:00, 336.61 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 90%|████████▉ | 224/250 [00:00<00:00, 336.61 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 90%|█████████ | 225/250 [00:00<00:00, 336.61 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 90%|█████████ | 226/250 [00:00<00:00, 336.61 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 91%|█████████ | 227/250 [00:00<00:00, 336.54 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 91%|█████████ | 228/250 [00:00<00:00, 336.54 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 92%|█████████▏| 229/250 [00:00<00:00, 336.54 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 92%|█████████▏| 230/250 [00:00<00:00, 336.51 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 92%|█████████▏| 231/250 [00:00<00:00, 336.42 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 93%|█████████▎| 232/250 [00:00<00:00, 336.42 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 93%|█████████▎| 233/250 [00:00<00:00, 336.40 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: Optimization result:
INFO - 10:04:25: Optimizer info:
INFO - 10:04:25: Status: None
INFO - 10:04:25: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:25: Solution:
INFO - 10:04:25: Objective: 0.09908276192446604
INFO - 10:04:25: Design space:
INFO - 10:04:25: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:25: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:25: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:25: | left_asymptote | 0 | 0.003381859373020561 | 0.01318893484301132 | float |
INFO - 10:04:25: | capacity | 0.003138431245171017 | 0.1163689465153807 | 0.1318893484301132 | float |
INFO - 10:04:25: | growth_rate | 0.0001932855905600599 | 0.0001932855905600599 | 0.001739570315040539 | float |
INFO - 10:04:25: | x_lag | 0 | 17546.02898337576 | 37043.63193300553 | float |
INFO - 10:04:25: | logistic_nu | 0.1 | 0.3969609920771633 | 10 | float |
INFO - 10:04:25: | asymptote_coeff | 0.1 | 2.761281543750786 | 10 | float |
INFO - 10:04:25: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:25: Optimization problem:
INFO - 10:04:25: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:25: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:25: over the design space:
INFO - 10:04:25: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:25: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:25: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:25: | left_asymptote | 0 | 0.003311833636334504 | 0.01318893484301132 | float |
INFO - 10:04:25: | capacity | 0.003138431245171017 | 0.1255052910904844 | 0.1318893484301132 | float |
INFO - 10:04:25: | growth_rate | 0.0001932855905600599 | 0.001403621878904561 | 0.001739570315040539 | float |
INFO - 10:04:25: | x_lag | 0 | 29519.6280082048 | 37043.63193300553 | float |
INFO - 10:04:25: | logistic_nu | 0.1 | 4.841685669245659 | 10 | float |
INFO - 10:04:25: | asymptote_coeff | 0.1 | 3.806533090469718 | 10 | float |
INFO - 10:04:25: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:25: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:25: 1%| | 2/250 [00:00<00:00, 375.19 it/sec, feas=True, obj=0.994]
INFO - 10:04:25: 1%| | 3/250 [00:00<00:00, 369.94 it/sec, feas=True, obj=0.735]
INFO - 10:04:25: 2%|▏ | 4/250 [00:00<00:00, 362.77 it/sec, feas=True, obj=0.734]
INFO - 10:04:25: 2%|▏ | 5/250 [00:00<00:00, 357.47 it/sec, feas=True, obj=0.426]
INFO - 10:04:25: 2%|▏ | 6/250 [00:00<00:00, 355.19 it/sec, feas=True, obj=0.426]
INFO - 10:04:25: 3%|▎ | 7/250 [00:00<00:00, 351.82 it/sec, feas=True, obj=0.426]
INFO - 10:04:25: Optimization result:
INFO - 10:04:25: Optimizer info:
INFO - 10:04:25: Status: 0
INFO - 10:04:25: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:25: Solution:
INFO - 10:04:25: Objective: 0.42625188076195547
INFO - 10:04:25: Design space:
INFO - 10:04:25: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:25: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:25: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:25: | left_asymptote | 0 | 0.007364080566927623 | 0.01318893484301132 | float |
INFO - 10:04:25: | capacity | 0.003138431245171017 | 0.006501326983779328 | 0.1318893484301132 | float |
INFO - 10:04:25: | growth_rate | 0.0001932855905600599 | 0.001707517447941875 | 0.001739570315040539 | float |
INFO - 10:04:25: | x_lag | 0 | 37043.63193300553 | 37043.63193300553 | float |
INFO - 10:04:25: | logistic_nu | 0.1 | 0.1569834217753403 | 10 | float |
INFO - 10:04:25: | asymptote_coeff | 0.1 | 9.688897538324277 | 10 | float |
INFO - 10:04:25: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:25: Optimization problem:
INFO - 10:04:25: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:25: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:25: over the design space:
INFO - 10:04:25: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:25: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:25: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:25: | left_asymptote | 0 | 0.0124425587794501 | 0.01318893484301132 | float |
INFO - 10:04:25: | capacity | 0.003138431245171017 | 0.02876612907659388 | 0.1318893484301132 | float |
INFO - 10:04:25: | growth_rate | 0.0001932855905600599 | 0.001223301970128732 | 0.001739570315040539 | float |
INFO - 10:04:25: | x_lag | 0 | 13433.09463455975 | 37043.63193300553 | float |
INFO - 10:04:25: | logistic_nu | 0.1 | 5.169901185402307 | 10 | float |
INFO - 10:04:25: | asymptote_coeff | 0.1 | 6.84670587772096 | 10 | float |
INFO - 10:04:25: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:25: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:25: 1%| | 2/250 [00:00<00:00, 367.84 it/sec, feas=True, obj=0.726]
INFO - 10:04:25: 1%| | 3/250 [00:00<00:00, 376.22 it/sec, feas=True, obj=0.497]
INFO - 10:04:25: 2%|▏ | 4/250 [00:00<00:00, 373.32 it/sec, feas=True, obj=0.382]
INFO - 10:04:25: 2%|▏ | 5/250 [00:00<00:00, 372.52 it/sec, feas=True, obj=0.32]
INFO - 10:04:25: 2%|▏ | 6/250 [00:00<00:00, 371.62 it/sec, feas=True, obj=0.603]
INFO - 10:04:25: 3%|▎ | 7/250 [00:00<00:00, 370.59 it/sec, feas=True, obj=0.258]
INFO - 10:04:25: 3%|▎ | 8/250 [00:00<00:00, 370.36 it/sec, feas=True, obj=0.28]
INFO - 10:04:25: 4%|▎ | 9/250 [00:00<00:00, 370.09 it/sec, feas=True, obj=0.247]
INFO - 10:04:25: 4%|▍ | 10/250 [00:00<00:00, 369.47 it/sec, feas=True, obj=0.241]
INFO - 10:04:25: 4%|▍ | 11/250 [00:00<00:00, 368.99 it/sec, feas=True, obj=0.222]
INFO - 10:04:25: 5%|▍ | 12/250 [00:00<00:00, 368.81 it/sec, feas=True, obj=0.206]
INFO - 10:04:25: 5%|▌ | 13/250 [00:00<00:00, 369.23 it/sec, feas=True, obj=0.26]
INFO - 10:04:25: 6%|▌ | 14/250 [00:00<00:00, 369.21 it/sec, feas=True, obj=0.182]
INFO - 10:04:25: 6%|▌ | 15/250 [00:00<00:00, 356.30 it/sec, feas=True, obj=0.172]
INFO - 10:04:25: 6%|▋ | 16/250 [00:00<00:00, 356.75 it/sec, feas=True, obj=0.67]
INFO - 10:04:25: 7%|▋ | 17/250 [00:00<00:00, 357.52 it/sec, feas=True, obj=0.309]
INFO - 10:04:25: 7%|▋ | 18/250 [00:00<00:00, 348.76 it/sec, feas=True, obj=0.163]
INFO - 10:04:25: 8%|▊ | 19/250 [00:00<00:00, 349.33 it/sec, feas=True, obj=10.8]
INFO - 10:04:25: 8%|▊ | 20/250 [00:00<00:00, 348.61 it/sec, feas=True, obj=0.288]
INFO - 10:04:25: 8%|▊ | 21/250 [00:00<00:00, 348.91 it/sec, feas=True, obj=0.162]
INFO - 10:04:25: 9%|▉ | 22/250 [00:00<00:00, 348.60 it/sec, feas=True, obj=1.34]
INFO - 10:04:25: 9%|▉ | 23/250 [00:00<00:00, 347.36 it/sec, feas=True, obj=0.211]
INFO - 10:04:25: 10%|▉ | 24/250 [00:00<00:00, 347.03 it/sec, feas=True, obj=0.16]
INFO - 10:04:25: 10%|█ | 25/250 [00:00<00:00, 347.07 it/sec, feas=True, obj=0.352]
INFO - 10:04:25: 10%|█ | 26/250 [00:00<00:00, 347.48 it/sec, feas=True, obj=0.162]
INFO - 10:04:25: 11%|█ | 27/250 [00:00<00:00, 347.89 it/sec, feas=True, obj=0.16]
INFO - 10:04:25: 11%|█ | 28/250 [00:00<00:00, 348.46 it/sec, feas=True, obj=0.55]
INFO - 10:04:25: 12%|█▏ | 29/250 [00:00<00:00, 348.82 it/sec, feas=True, obj=0.173]
INFO - 10:04:25: 12%|█▏ | 30/250 [00:00<00:00, 348.57 it/sec, feas=True, obj=0.155]
INFO - 10:04:25: 12%|█▏ | 31/250 [00:00<00:00, 348.34 it/sec, feas=True, obj=0.128]
INFO - 10:04:25: 13%|█▎ | 32/250 [00:00<00:00, 348.00 it/sec, feas=True, obj=0.124]
INFO - 10:04:25: 13%|█▎ | 33/250 [00:00<00:00, 347.00 it/sec, feas=True, obj=0.121]
INFO - 10:04:25: 14%|█▎ | 34/250 [00:00<00:00, 346.78 it/sec, feas=True, obj=0.118]
INFO - 10:04:25: 14%|█▍ | 35/250 [00:00<00:00, 346.49 it/sec, feas=True, obj=0.114]
INFO - 10:04:25: 14%|█▍ | 36/250 [00:00<00:00, 345.60 it/sec, feas=True, obj=0.112]
INFO - 10:04:25: 15%|█▍ | 37/250 [00:00<00:00, 345.36 it/sec, feas=True, obj=0.111]
INFO - 10:04:25: 15%|█▌ | 38/250 [00:00<00:00, 345.09 it/sec, feas=True, obj=0.11]
INFO - 10:04:25: 16%|█▌ | 39/250 [00:00<00:00, 344.18 it/sec, feas=True, obj=0.109]
INFO - 10:04:25: 16%|█▌ | 40/250 [00:00<00:00, 344.57 it/sec, feas=True, obj=0.11]
INFO - 10:04:25: 16%|█▋ | 41/250 [00:00<00:00, 344.74 it/sec, feas=True, obj=0.108]
INFO - 10:04:25: 17%|█▋ | 42/250 [00:00<00:00, 343.97 it/sec, feas=True, obj=0.108]
INFO - 10:04:25: 17%|█▋ | 43/250 [00:00<00:00, 344.11 it/sec, feas=True, obj=0.107]
INFO - 10:04:25: 18%|█▊ | 44/250 [00:00<00:00, 344.44 it/sec, feas=True, obj=0.107]
INFO - 10:04:25: 18%|█▊ | 45/250 [00:00<00:00, 344.12 it/sec, feas=True, obj=0.107]
INFO - 10:04:25: 18%|█▊ | 46/250 [00:00<00:00, 344.03 it/sec, feas=True, obj=0.106]
INFO - 10:04:25: 19%|█▉ | 47/250 [00:00<00:00, 344.36 it/sec, feas=True, obj=0.106]
INFO - 10:04:25: 19%|█▉ | 48/250 [00:00<00:00, 343.77 it/sec, feas=True, obj=0.106]
INFO - 10:04:25: 20%|█▉ | 49/250 [00:00<00:00, 344.01 it/sec, feas=True, obj=0.106]
INFO - 10:04:25: 20%|██ | 50/250 [00:00<00:00, 343.92 it/sec, feas=True, obj=0.106]
INFO - 10:04:25: 20%|██ | 51/250 [00:00<00:00, 344.16 it/sec, feas=True, obj=0.106]
INFO - 10:04:25: 21%|██ | 52/250 [00:00<00:00, 344.32 it/sec, feas=True, obj=0.106]
INFO - 10:04:25: 21%|██ | 53/250 [00:00<00:00, 344.55 it/sec, feas=True, obj=0.106]
INFO - 10:04:25: 22%|██▏ | 54/250 [00:00<00:00, 344.59 it/sec, feas=True, obj=0.106]
INFO - 10:04:25: 22%|██▏ | 55/250 [00:00<00:00, 344.82 it/sec, feas=True, obj=0.106]
INFO - 10:04:25: 22%|██▏ | 56/250 [00:00<00:00, 345.06 it/sec, feas=True, obj=0.106]
INFO - 10:04:25: 23%|██▎ | 57/250 [00:00<00:00, 345.26 it/sec, feas=True, obj=0.106]
INFO - 10:04:25: 23%|██▎ | 58/250 [00:00<00:00, 345.42 it/sec, feas=True, obj=0.105]
INFO - 10:04:25: 24%|██▎ | 59/250 [00:00<00:00, 345.66 it/sec, feas=True, obj=0.107]
INFO - 10:04:25: 24%|██▍ | 60/250 [00:00<00:00, 345.80 it/sec, feas=True, obj=0.105]
INFO - 10:04:25: 24%|██▍ | 61/250 [00:00<00:00, 346.02 it/sec, feas=True, obj=0.105]
INFO - 10:04:25: 25%|██▍ | 62/250 [00:00<00:00, 346.17 it/sec, feas=True, obj=0.105]
INFO - 10:04:25: 25%|██▌ | 63/250 [00:00<00:00, 346.36 it/sec, feas=True, obj=0.116]
INFO - 10:04:25: 26%|██▌ | 64/250 [00:00<00:00, 346.54 it/sec, feas=True, obj=0.105]
INFO - 10:04:25: 26%|██▌ | 65/250 [00:00<00:00, 346.75 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 26%|██▋ | 66/250 [00:00<00:00, 346.98 it/sec, feas=True, obj=0.106]
INFO - 10:04:25: 27%|██▋ | 67/250 [00:00<00:00, 347.09 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 27%|██▋ | 68/250 [00:00<00:00, 347.28 it/sec, feas=True, obj=0.107]
INFO - 10:04:25: 28%|██▊ | 69/250 [00:00<00:00, 347.07 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 28%|██▊ | 70/250 [00:00<00:00, 347.16 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 28%|██▊ | 71/250 [00:00<00:00, 347.34 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 29%|██▉ | 72/250 [00:00<00:00, 347.46 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 29%|██▉ | 73/250 [00:00<00:00, 347.55 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 30%|██▉ | 74/250 [00:00<00:00, 347.63 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 30%|███ | 75/250 [00:00<00:00, 347.76 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 30%|███ | 76/250 [00:00<00:00, 347.95 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 31%|███ | 77/250 [00:00<00:00, 348.09 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 31%|███ | 78/250 [00:00<00:00, 348.17 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 32%|███▏ | 79/250 [00:00<00:00, 348.25 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 32%|███▏ | 80/250 [00:00<00:00, 348.35 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 32%|███▏ | 81/250 [00:00<00:00, 348.55 it/sec, feas=True, obj=0.106]
INFO - 10:04:25: 33%|███▎ | 82/250 [00:00<00:00, 348.62 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 33%|███▎ | 83/250 [00:00<00:00, 348.35 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 34%|███▎ | 84/250 [00:00<00:00, 347.95 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 34%|███▍ | 85/250 [00:00<00:00, 347.59 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 34%|███▍ | 86/250 [00:00<00:00, 347.63 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 35%|███▍ | 87/250 [00:00<00:00, 347.61 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 35%|███▌ | 88/250 [00:00<00:00, 347.68 it/sec, feas=True, obj=0.124]
INFO - 10:04:25: 36%|███▌ | 89/250 [00:00<00:00, 347.69 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 36%|███▌ | 90/250 [00:00<00:00, 347.81 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 36%|███▋ | 91/250 [00:00<00:00, 347.85 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 37%|███▋ | 92/250 [00:00<00:00, 347.95 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 37%|███▋ | 93/250 [00:00<00:00, 348.01 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 38%|███▊ | 94/250 [00:00<00:00, 347.92 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 38%|███▊ | 95/250 [00:00<00:00, 348.07 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 38%|███▊ | 96/250 [00:00<00:00, 348.20 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 39%|███▉ | 97/250 [00:00<00:00, 348.41 it/sec, feas=True, obj=0.105]
INFO - 10:04:25: 39%|███▉ | 98/250 [00:00<00:00, 348.50 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 40%|███▉ | 99/250 [00:00<00:00, 348.56 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 40%|████ | 100/250 [00:00<00:00, 348.53 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 40%|████ | 101/250 [00:00<00:00, 348.61 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 41%|████ | 102/250 [00:00<00:00, 348.65 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 41%|████ | 103/250 [00:00<00:00, 348.39 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 42%|████▏ | 104/250 [00:00<00:00, 347.03 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 42%|████▏ | 105/250 [00:00<00:00, 346.24 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 42%|████▏ | 106/250 [00:00<00:00, 346.27 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 43%|████▎ | 107/250 [00:00<00:00, 346.36 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 43%|████▎ | 108/250 [00:00<00:00, 346.41 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 44%|████▎ | 109/250 [00:00<00:00, 346.48 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 44%|████▍ | 110/250 [00:00<00:00, 346.58 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 44%|████▍ | 111/250 [00:00<00:00, 346.65 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 45%|████▍ | 112/250 [00:00<00:00, 346.68 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 45%|████▌ | 113/250 [00:00<00:00, 346.67 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 46%|████▌ | 114/250 [00:00<00:00, 346.53 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 46%|████▌ | 115/250 [00:00<00:00, 346.53 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 46%|████▋ | 116/250 [00:00<00:00, 346.62 it/sec, feas=True, obj=0.107]
INFO - 10:04:25: 47%|████▋ | 117/250 [00:00<00:00, 346.67 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 47%|████▋ | 118/250 [00:00<00:00, 346.81 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 48%|████▊ | 119/250 [00:00<00:00, 346.83 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 48%|████▊ | 120/250 [00:00<00:00, 346.92 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 48%|████▊ | 121/250 [00:00<00:00, 346.81 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 49%|████▉ | 122/250 [00:00<00:00, 346.87 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 49%|████▉ | 123/250 [00:00<00:00, 346.92 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 50%|████▉ | 124/250 [00:00<00:00, 347.01 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 50%|█████ | 125/250 [00:00<00:00, 347.07 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 50%|█████ | 126/250 [00:00<00:00, 347.10 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 51%|█████ | 127/250 [00:00<00:00, 347.12 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 51%|█████ | 128/250 [00:00<00:00, 347.18 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 52%|█████▏ | 129/250 [00:00<00:00, 347.07 it/sec, feas=True, obj=0.108]
INFO - 10:04:25: 52%|█████▏ | 130/250 [00:00<00:00, 346.89 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 52%|█████▏ | 131/250 [00:00<00:00, 346.96 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 53%|█████▎ | 132/250 [00:00<00:00, 347.07 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 53%|█████▎ | 133/250 [00:00<00:00, 347.14 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 54%|█████▎ | 134/250 [00:00<00:00, 347.18 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 54%|█████▍ | 135/250 [00:00<00:00, 347.23 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 54%|█████▍ | 136/250 [00:00<00:00, 347.26 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 55%|█████▍ | 137/250 [00:00<00:00, 347.36 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 55%|█████▌ | 138/250 [00:00<00:00, 347.41 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 56%|█████▌ | 139/250 [00:00<00:00, 347.40 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 56%|█████▌ | 140/250 [00:00<00:00, 347.37 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 56%|█████▋ | 141/250 [00:00<00:00, 347.38 it/sec, feas=True, obj=0.1]
INFO - 10:04:25: 57%|█████▋ | 142/250 [00:00<00:00, 347.28 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 57%|█████▋ | 143/250 [00:00<00:00, 347.32 it/sec, feas=True, obj=0.1]
INFO - 10:04:25: 58%|█████▊ | 144/250 [00:00<00:00, 347.25 it/sec, feas=True, obj=0.1]
INFO - 10:04:25: 58%|█████▊ | 145/250 [00:00<00:00, 347.25 it/sec, feas=True, obj=0.1]
INFO - 10:04:25: 58%|█████▊ | 146/250 [00:00<00:00, 347.34 it/sec, feas=True, obj=0.1]
INFO - 10:04:25: 59%|█████▉ | 147/250 [00:00<00:00, 347.26 it/sec, feas=True, obj=0.1]
INFO - 10:04:25: 59%|█████▉ | 148/250 [00:00<00:00, 347.33 it/sec, feas=True, obj=0.1]
INFO - 10:04:25: 60%|█████▉ | 149/250 [00:00<00:00, 347.36 it/sec, feas=True, obj=0.1]
INFO - 10:04:25: 60%|██████ | 150/250 [00:00<00:00, 347.41 it/sec, feas=True, obj=0.1]
INFO - 10:04:25: 60%|██████ | 151/250 [00:00<00:00, 347.45 it/sec, feas=True, obj=0.1]
INFO - 10:04:25: 61%|██████ | 152/250 [00:00<00:00, 347.32 it/sec, feas=True, obj=0.1]
INFO - 10:04:25: 61%|██████ | 153/250 [00:00<00:00, 347.28 it/sec, feas=True, obj=0.1]
INFO - 10:04:25: 62%|██████▏ | 154/250 [00:00<00:00, 347.06 it/sec, feas=True, obj=0.0999]
INFO - 10:04:25: 62%|██████▏ | 155/250 [00:00<00:00, 346.87 it/sec, feas=True, obj=0.1]
INFO - 10:04:25: 62%|██████▏ | 156/250 [00:00<00:00, 346.91 it/sec, feas=True, obj=0.0999]
INFO - 10:04:25: 63%|██████▎ | 157/250 [00:00<00:00, 346.92 it/sec, feas=True, obj=0.0998]
INFO - 10:04:25: 63%|██████▎ | 158/250 [00:00<00:00, 346.98 it/sec, feas=True, obj=0.0999]
INFO - 10:04:25: 64%|██████▎ | 159/250 [00:00<00:00, 346.92 it/sec, feas=True, obj=0.0998]
INFO - 10:04:25: 64%|██████▍ | 160/250 [00:00<00:00, 346.83 it/sec, feas=True, obj=0.0997]
INFO - 10:04:25: 64%|██████▍ | 161/250 [00:00<00:00, 346.77 it/sec, feas=True, obj=0.0996]
INFO - 10:04:25: 65%|██████▍ | 162/250 [00:00<00:00, 346.68 it/sec, feas=True, obj=0.0996]
INFO - 10:04:25: 65%|██████▌ | 163/250 [00:00<00:00, 346.64 it/sec, feas=True, obj=0.101]
INFO - 10:04:25: 66%|██████▌ | 164/250 [00:00<00:00, 346.57 it/sec, feas=True, obj=0.0995]
INFO - 10:04:25: 66%|██████▌ | 165/250 [00:00<00:00, 346.54 it/sec, feas=True, obj=0.0999]
INFO - 10:04:25: 66%|██████▋ | 166/250 [00:00<00:00, 346.32 it/sec, feas=True, obj=0.0995]
INFO - 10:04:25: 67%|██████▋ | 167/250 [00:00<00:00, 346.36 it/sec, feas=True, obj=0.0995]
INFO - 10:04:25: 67%|██████▋ | 168/250 [00:00<00:00, 346.29 it/sec, feas=True, obj=0.0995]
INFO - 10:04:25: 68%|██████▊ | 169/250 [00:00<00:00, 346.24 it/sec, feas=True, obj=0.0994]
INFO - 10:04:25: 68%|██████▊ | 170/250 [00:00<00:00, 346.21 it/sec, feas=True, obj=0.0995]
INFO - 10:04:25: 68%|██████▊ | 171/250 [00:00<00:00, 346.12 it/sec, feas=True, obj=0.0994]
INFO - 10:04:25: 69%|██████▉ | 172/250 [00:00<00:00, 345.96 it/sec, feas=True, obj=0.0995]
INFO - 10:04:25: 69%|██████▉ | 173/250 [00:00<00:00, 345.88 it/sec, feas=True, obj=0.0994]
INFO - 10:04:25: 70%|██████▉ | 174/250 [00:00<00:00, 345.86 it/sec, feas=True, obj=0.0994]
INFO - 10:04:25: 70%|███████ | 175/250 [00:00<00:00, 345.66 it/sec, feas=True, obj=0.0994]
INFO - 10:04:25: 70%|███████ | 176/250 [00:00<00:00, 345.59 it/sec, feas=True, obj=0.0993]
INFO - 10:04:25: 71%|███████ | 177/250 [00:00<00:00, 345.52 it/sec, feas=True, obj=0.0992]
INFO - 10:04:25: 71%|███████ | 178/250 [00:00<00:00, 345.38 it/sec, feas=True, obj=0.0993]
INFO - 10:04:25: 72%|███████▏ | 179/250 [00:00<00:00, 345.33 it/sec, feas=True, obj=0.0992]
INFO - 10:04:25: 72%|███████▏ | 180/250 [00:00<00:00, 345.27 it/sec, feas=True, obj=0.0992]
INFO - 10:04:25: 72%|███████▏ | 181/250 [00:00<00:00, 345.01 it/sec, feas=True, obj=0.0992]
INFO - 10:04:25: 73%|███████▎ | 182/250 [00:00<00:00, 345.07 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 73%|███████▎ | 183/250 [00:00<00:00, 345.01 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 74%|███████▎ | 184/250 [00:00<00:00, 345.06 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 74%|███████▍ | 185/250 [00:00<00:00, 345.05 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 74%|███████▍ | 186/250 [00:00<00:00, 345.00 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 75%|███████▍ | 187/250 [00:00<00:00, 344.93 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 75%|███████▌ | 188/250 [00:00<00:00, 344.76 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 76%|███████▌ | 189/250 [00:00<00:00, 344.83 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 76%|███████▌ | 190/250 [00:00<00:00, 344.75 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 76%|███████▋ | 191/250 [00:00<00:00, 344.60 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 77%|███████▋ | 192/250 [00:00<00:00, 344.63 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 77%|███████▋ | 193/250 [00:00<00:00, 344.64 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 78%|███████▊ | 194/250 [00:00<00:00, 344.47 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 78%|███████▊ | 195/250 [00:00<00:00, 344.42 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 78%|███████▊ | 196/250 [00:00<00:00, 344.39 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 79%|███████▉ | 197/250 [00:00<00:00, 343.78 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 79%|███████▉ | 198/250 [00:00<00:00, 343.80 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 80%|███████▉ | 199/250 [00:00<00:00, 343.84 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 80%|████████ | 200/250 [00:00<00:00, 343.76 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: 80%|████████ | 201/250 [00:00<00:00, 343.73 it/sec, feas=True, obj=0.0991]
INFO - 10:04:25: Optimization result:
INFO - 10:04:25: Optimizer info:
INFO - 10:04:25: Status: None
INFO - 10:04:25: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:25: Solution:
INFO - 10:04:25: Objective: 0.09908276192522678
INFO - 10:04:25: Design space:
INFO - 10:04:25: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:25: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:25: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:25: | left_asymptote | 0 | 0.003381856625466918 | 0.01318893484301132 | float |
INFO - 10:04:25: | capacity | 0.003138431245171017 | 0.06899589131975789 | 0.1318893484301132 | float |
INFO - 10:04:25: | growth_rate | 0.0001932855905600599 | 0.0001932855905600599 | 0.001739570315040539 | float |
INFO - 10:04:25: | x_lag | 0 | 16429.90446943919 | 37043.63193300553 | float |
INFO - 10:04:25: | logistic_nu | 0.1 | 0.3969637021769979 | 10 | float |
INFO - 10:04:25: | asymptote_coeff | 0.1 | 2.225448873758145 | 10 | float |
INFO - 10:04:25: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:25: Optimization problem:
INFO - 10:04:25: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:25: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:25: over the design space:
INFO - 10:04:25: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:25: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:25: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:25: | left_asymptote | 0 | 0.009410122586248754 | 0.01318893484301132 | float |
INFO - 10:04:25: | capacity | 0.003138431245171017 | 0.007629624568018835 | 0.1318893484301132 | float |
INFO - 10:04:25: | growth_rate | 0.0001932855905600599 | 0.0008290098975002472 | 0.001739570315040539 | float |
INFO - 10:04:25: | x_lag | 0 | 27220.31861620514 | 37043.63193300553 | float |
INFO - 10:04:25: | logistic_nu | 0.1 | 3.561734423309778 | 10 | float |
INFO - 10:04:25: | asymptote_coeff | 0.1 | 0.196786351209056 | 10 | float |
INFO - 10:04:25: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:25: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:25: 1%| | 2/250 [00:00<00:00, 373.14 it/sec, feas=True, obj=5.02]
INFO - 10:04:25: 1%| | 3/250 [00:00<00:00, 368.26 it/sec, feas=True, obj=1.2]
INFO - 10:04:25: 2%|▏ | 4/250 [00:00<00:00, 365.42 it/sec, feas=True, obj=0.475]
INFO - 10:04:25: 2%|▏ | 5/250 [00:00<00:00, 356.61 it/sec, feas=True, obj=0.44]
INFO - 10:04:25: 2%|▏ | 6/250 [00:00<00:00, 354.22 it/sec, feas=True, obj=0.416]
INFO - 10:04:25: 3%|▎ | 7/250 [00:00<00:00, 349.25 it/sec, feas=True, obj=0.396]
INFO - 10:04:25: 3%|▎ | 8/250 [00:00<00:00, 345.28 it/sec, feas=True, obj=0.299]
INFO - 10:04:25: 4%|▎ | 9/250 [00:00<00:00, 344.68 it/sec, feas=True, obj=0.23]
INFO - 10:04:25: 4%|▍ | 10/250 [00:00<00:00, 342.07 it/sec, feas=True, obj=0.191]
INFO - 10:04:25: 4%|▍ | 11/250 [00:00<00:00, 343.29 it/sec, feas=True, obj=0.176]
INFO - 10:04:25: 5%|▍ | 12/250 [00:00<00:00, 344.74 it/sec, feas=True, obj=0.158]
INFO - 10:04:25: 5%|▌ | 13/250 [00:00<00:00, 346.45 it/sec, feas=True, obj=0.162]
INFO - 10:04:25: 6%|▌ | 14/250 [00:00<00:00, 347.10 it/sec, feas=True, obj=0.128]
INFO - 10:04:25: 6%|▌ | 15/250 [00:00<00:00, 346.31 it/sec, feas=True, obj=0.17]
INFO - 10:04:25: 6%|▋ | 16/250 [00:00<00:00, 346.81 it/sec, feas=True, obj=0.121]
INFO - 10:04:25: 7%|▋ | 17/250 [00:00<00:00, 347.39 it/sec, feas=True, obj=0.116]
INFO - 10:04:25: 7%|▋ | 18/250 [00:00<00:00, 346.51 it/sec, feas=True, obj=0.11]
INFO - 10:04:25: 8%|▊ | 19/250 [00:00<00:00, 347.18 it/sec, feas=True, obj=0.11]
INFO - 10:04:25: 8%|▊ | 20/250 [00:00<00:00, 347.59 it/sec, feas=True, obj=0.11]
INFO - 10:04:25: 8%|▊ | 21/250 [00:00<00:00, 347.26 it/sec, feas=True, obj=0.11]
INFO - 10:04:25: 9%|▉ | 22/250 [00:00<00:00, 346.89 it/sec, feas=True, obj=0.109]
INFO - 10:04:25: 9%|▉ | 23/250 [00:00<00:00, 346.56 it/sec, feas=True, obj=0.107]
INFO - 10:04:25: 10%|▉ | 24/250 [00:00<00:00, 346.11 it/sec, feas=True, obj=0.108]
INFO - 10:04:25: 10%|█ | 25/250 [00:00<00:00, 345.76 it/sec, feas=True, obj=0.107]
INFO - 10:04:25: 10%|█ | 26/250 [00:00<00:00, 345.42 it/sec, feas=True, obj=0.107]
INFO - 10:04:25: 11%|█ | 27/250 [00:00<00:00, 345.12 it/sec, feas=True, obj=0.106]
INFO - 10:04:25: 11%|█ | 28/250 [00:00<00:00, 343.96 it/sec, feas=True, obj=0.106]
INFO - 10:04:25: 12%|█▏ | 29/250 [00:00<00:00, 343.83 it/sec, feas=True, obj=0.106]
INFO - 10:04:25: 12%|█▏ | 30/250 [00:00<00:00, 343.75 it/sec, feas=True, obj=0.105]
INFO - 10:04:25: 12%|█▏ | 31/250 [00:00<00:00, 343.54 it/sec, feas=True, obj=0.105]
INFO - 10:04:25: 13%|█▎ | 32/250 [00:00<00:00, 343.53 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 13%|█▎ | 33/250 [00:00<00:00, 343.46 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 14%|█▎ | 34/250 [00:00<00:00, 342.43 it/sec, feas=True, obj=0.105]
INFO - 10:04:25: 14%|█▍ | 35/250 [00:00<00:00, 342.25 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 14%|█▍ | 36/250 [00:00<00:00, 342.09 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 15%|█▍ | 37/250 [00:00<00:00, 341.97 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 15%|█▌ | 38/250 [00:00<00:00, 341.29 it/sec, feas=True, obj=0.105]
INFO - 10:04:25: 16%|█▌ | 39/250 [00:00<00:00, 341.21 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 16%|█▌ | 40/250 [00:00<00:00, 341.23 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 16%|█▋ | 41/250 [00:00<00:00, 340.59 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 17%|█▋ | 42/250 [00:00<00:00, 340.47 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 17%|█▋ | 43/250 [00:00<00:00, 340.39 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 18%|█▊ | 44/250 [00:00<00:00, 339.83 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 18%|█▊ | 45/250 [00:00<00:00, 339.80 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 18%|█▊ | 46/250 [00:00<00:00, 339.88 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 19%|█▉ | 47/250 [00:00<00:00, 339.86 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 19%|█▉ | 48/250 [00:00<00:00, 339.72 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 20%|█▉ | 49/250 [00:00<00:00, 339.68 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 20%|██ | 50/250 [00:00<00:00, 339.25 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 20%|██ | 51/250 [00:00<00:00, 339.19 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 21%|██ | 52/250 [00:00<00:00, 339.10 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 21%|██ | 53/250 [00:00<00:00, 339.05 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 22%|██▏ | 54/250 [00:00<00:00, 338.85 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 22%|██▏ | 55/250 [00:00<00:00, 336.40 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 22%|██▏ | 56/250 [00:00<00:00, 336.71 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 23%|██▎ | 57/250 [00:00<00:00, 336.59 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 23%|██▎ | 58/250 [00:00<00:00, 336.92 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 24%|██▎ | 59/250 [00:00<00:00, 337.25 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 24%|██▍ | 60/250 [00:00<00:00, 337.14 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 24%|██▍ | 61/250 [00:00<00:00, 337.56 it/sec, feas=True, obj=0.104]
INFO - 10:04:25: 25%|██▍ | 62/250 [00:00<00:00, 337.82 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 25%|██▌ | 63/250 [00:00<00:00, 337.76 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 26%|██▌ | 64/250 [00:00<00:00, 337.83 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 26%|██▌ | 65/250 [00:00<00:00, 337.91 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 26%|██▋ | 66/250 [00:00<00:00, 337.89 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 27%|██▋ | 67/250 [00:00<00:00, 338.13 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 27%|██▋ | 68/250 [00:00<00:00, 338.34 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 28%|██▊ | 69/250 [00:00<00:00, 338.33 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 28%|██▊ | 70/250 [00:00<00:00, 338.57 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 28%|██▊ | 71/250 [00:00<00:00, 338.78 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 29%|██▉ | 72/250 [00:00<00:00, 339.06 it/sec, feas=True, obj=0.103]
INFO - 10:04:25: 29%|██▉ | 73/250 [00:00<00:00, 339.30 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 30%|██▉ | 74/250 [00:00<00:00, 339.43 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 30%|███ | 75/250 [00:00<00:00, 321.13 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 30%|███ | 76/250 [00:00<00:00, 304.72 it/sec, feas=True, obj=0.106]
INFO - 10:04:25: 31%|███ | 77/250 [00:00<00:00, 299.43 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 31%|███ | 78/250 [00:00<00:00, 294.81 it/sec, feas=True, obj=0.102]
INFO - 10:04:25: 32%|███▏ | 79/250 [00:00<00:00, 284.81 it/sec, feas=True, obj=0.102]
INFO - 10:04:26: 32%|███▏ | 80/250 [00:00<00:00, 277.80 it/sec, feas=True, obj=0.102]
INFO - 10:04:26: 32%|███▏ | 81/250 [00:00<00:00, 278.01 it/sec, feas=True, obj=0.102]
INFO - 10:04:26: 33%|███▎ | 82/250 [00:00<00:00, 278.73 it/sec, feas=True, obj=0.102]
INFO - 10:04:26: 33%|███▎ | 83/250 [00:00<00:00, 279.42 it/sec, feas=True, obj=0.102]
INFO - 10:04:26: 34%|███▎ | 84/250 [00:00<00:00, 280.08 it/sec, feas=True, obj=0.102]
INFO - 10:04:26: 34%|███▍ | 85/250 [00:00<00:00, 280.71 it/sec, feas=True, obj=0.102]
INFO - 10:04:26: 34%|███▍ | 86/250 [00:00<00:00, 281.38 it/sec, feas=True, obj=0.102]
INFO - 10:04:26: 35%|███▍ | 87/250 [00:00<00:00, 282.02 it/sec, feas=True, obj=0.107]
INFO - 10:04:26: 35%|███▌ | 88/250 [00:00<00:00, 282.54 it/sec, feas=True, obj=0.102]
INFO - 10:04:26: 36%|███▌ | 89/250 [00:00<00:00, 283.11 it/sec, feas=True, obj=0.102]
INFO - 10:04:26: 36%|███▌ | 90/250 [00:00<00:00, 283.74 it/sec, feas=True, obj=0.102]
INFO - 10:04:26: 36%|███▋ | 91/250 [00:00<00:00, 284.31 it/sec, feas=True, obj=0.102]
INFO - 10:04:26: 37%|███▋ | 92/250 [00:00<00:00, 284.90 it/sec, feas=True, obj=0.102]
INFO - 10:04:26: 37%|███▋ | 93/250 [00:00<00:00, 285.52 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 38%|███▊ | 94/250 [00:00<00:00, 286.12 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 38%|███▊ | 95/250 [00:00<00:00, 286.67 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 38%|███▊ | 96/250 [00:00<00:00, 287.21 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 39%|███▉ | 97/250 [00:00<00:00, 287.83 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 39%|███▉ | 98/250 [00:00<00:00, 288.38 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 40%|███▉ | 99/250 [00:00<00:00, 288.95 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 40%|████ | 100/250 [00:00<00:00, 289.35 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 40%|████ | 101/250 [00:00<00:00, 289.85 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 41%|████ | 102/250 [00:00<00:00, 290.18 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 41%|████ | 103/250 [00:00<00:00, 290.70 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 42%|████▏ | 104/250 [00:00<00:00, 291.19 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 42%|████▏ | 105/250 [00:00<00:00, 291.68 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 42%|████▏ | 106/250 [00:00<00:00, 292.00 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 43%|████▎ | 107/250 [00:00<00:00, 292.49 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 43%|████▎ | 108/250 [00:00<00:00, 292.98 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 44%|████▎ | 109/250 [00:00<00:00, 293.45 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 44%|████▍ | 110/250 [00:00<00:00, 293.89 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 44%|████▍ | 111/250 [00:00<00:00, 294.36 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 45%|████▍ | 112/250 [00:00<00:00, 294.73 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 45%|████▌ | 113/250 [00:00<00:00, 295.20 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 46%|████▌ | 114/250 [00:00<00:00, 295.65 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 46%|████▌ | 115/250 [00:00<00:00, 296.10 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 46%|████▋ | 116/250 [00:00<00:00, 296.48 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 47%|████▋ | 117/250 [00:00<00:00, 296.77 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 47%|████▋ | 118/250 [00:00<00:00, 297.21 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 48%|████▊ | 119/250 [00:00<00:00, 297.63 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 48%|████▊ | 120/250 [00:00<00:00, 298.06 it/sec, feas=True, obj=0.0999]
INFO - 10:04:26: 48%|████▊ | 121/250 [00:00<00:00, 298.48 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 49%|████▉ | 122/250 [00:00<00:00, 298.86 it/sec, feas=True, obj=0.0998]
INFO - 10:04:26: 49%|████▉ | 123/250 [00:00<00:00, 299.27 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 50%|████▉ | 124/250 [00:00<00:00, 299.51 it/sec, feas=True, obj=0.0997]
INFO - 10:04:26: 50%|█████ | 125/250 [00:00<00:00, 299.95 it/sec, feas=True, obj=0.0997]
INFO - 10:04:26: 50%|█████ | 126/250 [00:00<00:00, 300.31 it/sec, feas=True, obj=0.0996]
INFO - 10:04:26: 51%|█████ | 127/250 [00:00<00:00, 300.70 it/sec, feas=True, obj=0.0996]
INFO - 10:04:26: 51%|█████ | 128/250 [00:00<00:00, 301.05 it/sec, feas=True, obj=0.0995]
INFO - 10:04:26: 52%|█████▏ | 129/250 [00:00<00:00, 301.42 it/sec, feas=True, obj=0.0994]
INFO - 10:04:26: 52%|█████▏ | 130/250 [00:00<00:00, 301.83 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 52%|█████▏ | 131/250 [00:00<00:00, 302.16 it/sec, feas=True, obj=0.0994]
INFO - 10:04:26: 53%|█████▎ | 132/250 [00:00<00:00, 302.48 it/sec, feas=True, obj=0.0993]
INFO - 10:04:26: 53%|█████▎ | 133/250 [00:00<00:00, 302.81 it/sec, feas=True, obj=0.0993]
INFO - 10:04:26: 54%|█████▎ | 134/250 [00:00<00:00, 302.94 it/sec, feas=True, obj=0.0992]
INFO - 10:04:26: 54%|█████▍ | 135/250 [00:00<00:00, 303.25 it/sec, feas=True, obj=0.0992]
INFO - 10:04:26: 54%|█████▍ | 136/250 [00:00<00:00, 303.57 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 55%|█████▍ | 137/250 [00:00<00:00, 303.89 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 55%|█████▌ | 138/250 [00:00<00:00, 304.26 it/sec, feas=True, obj=0.108]
INFO - 10:04:26: 56%|█████▌ | 139/250 [00:00<00:00, 304.59 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 56%|█████▌ | 140/250 [00:00<00:00, 304.89 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 56%|█████▋ | 141/250 [00:00<00:00, 305.11 it/sec, feas=True, obj=0.0998]
INFO - 10:04:26: 57%|█████▋ | 142/250 [00:00<00:00, 305.43 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 57%|█████▋ | 143/250 [00:00<00:00, 305.75 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 58%|█████▊ | 144/250 [00:00<00:00, 306.05 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 58%|█████▊ | 145/250 [00:00<00:00, 306.31 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 58%|█████▊ | 146/250 [00:00<00:00, 306.59 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 59%|█████▉ | 147/250 [00:00<00:00, 306.92 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 59%|█████▉ | 148/250 [00:00<00:00, 307.21 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 60%|█████▉ | 149/250 [00:00<00:00, 307.38 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 60%|██████ | 150/250 [00:00<00:00, 307.66 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 60%|██████ | 151/250 [00:00<00:00, 307.91 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: Optimization result:
INFO - 10:04:26: Optimizer info:
INFO - 10:04:26: Status: None
INFO - 10:04:26: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:26: Solution:
INFO - 10:04:26: Objective: 0.0990827619244326
INFO - 10:04:26: Design space:
INFO - 10:04:26: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:26: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:26: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:26: | left_asymptote | 0 | 0.003381859498395205 | 0.01318893484301132 | float |
INFO - 10:04:26: | capacity | 0.003138431245171017 | 0.02918087715706521 | 0.1318893484301132 | float |
INFO - 10:04:26: | growth_rate | 0.0001932855905600599 | 0.0001932855905600599 | 0.001739570315040539 | float |
INFO - 10:04:26: | x_lag | 0 | 14512.74924587065 | 37043.63193300553 | float |
INFO - 10:04:26: | logistic_nu | 0.1 | 0.3969604127474843 | 10 | float |
INFO - 10:04:26: | asymptote_coeff | 0.1 | 1.536347615765002 | 10 | float |
INFO - 10:04:26: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:26: Optimization problem:
INFO - 10:04:26: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:26: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:26: over the design space:
INFO - 10:04:26: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:26: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:26: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:26: | left_asymptote | 0 | 0.003080631315145053 | 0.01318893484301132 | float |
INFO - 10:04:26: | capacity | 0.003138431245171017 | 0.1000645697473451 | 0.1318893484301132 | float |
INFO - 10:04:26: | growth_rate | 0.0001932855905600599 | 0.001040439114147992 | 0.001739570315040539 | float |
INFO - 10:04:26: | x_lag | 0 | 14825.48202915537 | 37043.63193300553 | float |
INFO - 10:04:26: | logistic_nu | 0.1 | 1.584139511566824 | 10 | float |
INFO - 10:04:26: | asymptote_coeff | 0.1 | 8.646435449387221 | 10 | float |
INFO - 10:04:26: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:26: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:26: 1%| | 2/250 [00:00<00:00, 366.11 it/sec, feas=True, obj=1]
INFO - 10:04:26: 1%| | 3/250 [00:00<00:00, 384.00 it/sec, feas=True, obj=0.938]
INFO - 10:04:26: 2%|▏ | 4/250 [00:00<00:00, 377.92 it/sec, feas=True, obj=0.704]
INFO - 10:04:26: 2%|▏ | 5/250 [00:00<00:00, 373.92 it/sec, feas=True, obj=0.833]
INFO - 10:04:26: 2%|▏ | 6/250 [00:00<00:00, 366.72 it/sec, feas=True, obj=0.427]
INFO - 10:04:26: 3%|▎ | 7/250 [00:00<00:00, 365.91 it/sec, feas=True, obj=0.427]
INFO - 10:04:26: 3%|▎ | 8/250 [00:00<00:00, 361.75 it/sec, feas=True, obj=0.426]
INFO - 10:04:26: 4%|▎ | 9/250 [00:00<00:00, 358.41 it/sec, feas=True, obj=0.426]
INFO - 10:04:26: 4%|▍ | 10/250 [00:00<00:00, 359.09 it/sec, feas=True, obj=0.426]
INFO - 10:04:26: Optimization result:
INFO - 10:04:26: Optimizer info:
INFO - 10:04:26: Status: None
INFO - 10:04:26: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:26: Solution:
INFO - 10:04:26: Objective: 0.42625187822325106
INFO - 10:04:26: Design space:
INFO - 10:04:26: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:26: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:26: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:26: | left_asymptote | 0 | 0.007364080917955883 | 0.01318893484301132 | float |
INFO - 10:04:26: | capacity | 0.003138431245171017 | 0.08294517959166162 | 0.1318893484301132 | float |
INFO - 10:04:26: | growth_rate | 0.0001932855905600599 | 0.001018587585246163 | 0.001739570315040539 | float |
INFO - 10:04:26: | x_lag | 0 | 15351.15218035909 | 37043.63193300553 | float |
INFO - 10:04:26: | logistic_nu | 0.1 | 0.1000160231024311 | 10 | float |
INFO - 10:04:26: | asymptote_coeff | 0.1 | 8.588654801744097 | 10 | float |
INFO - 10:04:26: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:26: Optimization problem:
INFO - 10:04:26: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:26: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:26: over the design space:
INFO - 10:04:26: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:26: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:26: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:26: | left_asymptote | 0 | 0.001928927254094322 | 0.01318893484301132 | float |
INFO - 10:04:26: | capacity | 0.003138431245171017 | 0.07573498430998013 | 0.1318893484301132 | float |
INFO - 10:04:26: | growth_rate | 0.0001932855905600599 | 0.0002642112151624639 | 0.001739570315040539 | float |
INFO - 10:04:26: | x_lag | 0 | 12926.78130965259 | 37043.63193300553 | float |
INFO - 10:04:26: | logistic_nu | 0.1 | 3.881851228413161 | 10 | float |
INFO - 10:04:26: | asymptote_coeff | 0.1 | 5.404868117632494 | 10 | float |
INFO - 10:04:26: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:26: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:26: 1%| | 2/250 [00:00<00:00, 387.14 it/sec, feas=True, obj=1]
INFO - 10:04:26: 1%| | 3/250 [00:00<00:00, 396.64 it/sec, feas=True, obj=0.828]
INFO - 10:04:26: 2%|▏ | 4/250 [00:00<00:00, 387.50 it/sec, feas=True, obj=0.432]
INFO - 10:04:26: 2%|▏ | 5/250 [00:00<00:00, 381.13 it/sec, feas=True, obj=0.434]
INFO - 10:04:26: 2%|▏ | 6/250 [00:00<00:00, 376.71 it/sec, feas=True, obj=0.426]
INFO - 10:04:26: 3%|▎ | 7/250 [00:00<00:00, 373.46 it/sec, feas=True, obj=0.426]
INFO - 10:04:26: 3%|▎ | 8/250 [00:00<00:00, 370.19 it/sec, feas=True, obj=0.426]
INFO - 10:04:26: Optimization result:
INFO - 10:04:26: Optimizer info:
INFO - 10:04:26: Status: 0
INFO - 10:04:26: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:26: Solution:
INFO - 10:04:26: Objective: 0.4262518800464298
INFO - 10:04:26: Design space:
INFO - 10:04:26: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:26: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:26: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:26: | left_asymptote | 0 | 0.007364080591004071 | 0.01318893484301132 | float |
INFO - 10:04:26: | capacity | 0.003138431245171017 | 0.003138431247471626 | 0.1318893484301132 | float |
INFO - 10:04:26: | growth_rate | 0.0001932855905600599 | 0.001673548709387785 | 0.001739570315040539 | float |
INFO - 10:04:26: | x_lag | 0 | 36161.54014040675 | 37043.63193300553 | float |
INFO - 10:04:26: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:26: | asymptote_coeff | 0.1 | 9.851560073506915 | 10 | float |
INFO - 10:04:26: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:26: Optimization problem:
INFO - 10:04:26: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:26: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:26: over the design space:
INFO - 10:04:26: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:26: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:26: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:26: | left_asymptote | 0 | 0.01109846719120731 | 0.01318893484301132 | float |
INFO - 10:04:26: | capacity | 0.003138431245171017 | 0.1217288486326615 | 0.1318893484301132 | float |
INFO - 10:04:26: | growth_rate | 0.0001932855905600599 | 0.0004170554872080531 | 0.001739570315040539 | float |
INFO - 10:04:26: | x_lag | 0 | 17438.13031189318 | 37043.63193300553 | float |
INFO - 10:04:26: | logistic_nu | 0.1 | 8.234739433018818 | 10 | float |
INFO - 10:04:26: | asymptote_coeff | 0.1 | 3.408753901197628 | 10 | float |
INFO - 10:04:26: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:26: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:26: 1%| | 2/250 [00:00<00:00, 386.61 it/sec, feas=True, obj=0.456]
INFO - 10:04:26: 1%| | 3/250 [00:00<00:00, 391.86 it/sec, feas=True, obj=0.43]
INFO - 10:04:26: 2%|▏ | 4/250 [00:00<00:00, 382.43 it/sec, feas=True, obj=0.426]
INFO - 10:04:26: 2%|▏ | 5/250 [00:00<00:00, 373.90 it/sec, feas=True, obj=0.426]
INFO - 10:04:26: 2%|▏ | 6/250 [00:00<00:00, 365.59 it/sec, feas=True, obj=0.426]
INFO - 10:04:26: Optimization result:
INFO - 10:04:26: Optimizer info:
INFO - 10:04:26: Status: 0
INFO - 10:04:26: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:26: Solution:
INFO - 10:04:26: Objective: 0.42625188004512005
INFO - 10:04:26: Design space:
INFO - 10:04:26: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:26: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:26: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:26: | left_asymptote | 0 | 0.00736408062375663 | 0.01318893484301132 | float |
INFO - 10:04:26: | capacity | 0.003138431245171017 | 0.003690393369620572 | 0.1318893484301132 | float |
INFO - 10:04:26: | growth_rate | 0.0001932855905600599 | 0.001739570315040539 | 0.001739570315040539 | float |
INFO - 10:04:26: | x_lag | 0 | 37043.63193300553 | 37043.63193300553 | float |
INFO - 10:04:26: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:26: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:26: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:26: Optimization problem:
INFO - 10:04:26: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:26: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:26: over the design space:
INFO - 10:04:26: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:26: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:26: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:26: | left_asymptote | 0 | 0.01271391439383848 | 0.01318893484301132 | float |
INFO - 10:04:26: | capacity | 0.003138431245171017 | 0.0561352756658675 | 0.1318893484301132 | float |
INFO - 10:04:26: | growth_rate | 0.0001932855905600599 | 0.0009633846822041152 | 0.001739570315040539 | float |
INFO - 10:04:26: | x_lag | 0 | 30586.52248496068 | 37043.63193300553 | float |
INFO - 10:04:26: | logistic_nu | 0.1 | 8.81154772732992 | 10 | float |
INFO - 10:04:26: | asymptote_coeff | 0.1 | 4.60272431489444 | 10 | float |
INFO - 10:04:26: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:26: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:26: 1%| | 2/250 [00:00<00:00, 349.18 it/sec, feas=True, obj=0.623]
INFO - 10:04:26: 1%| | 3/250 [00:00<00:00, 360.22 it/sec, feas=True, obj=0.478]
INFO - 10:04:26: 2%|▏ | 4/250 [00:00<00:00, 352.46 it/sec, feas=True, obj=0.46]
INFO - 10:04:26: 2%|▏ | 5/250 [00:00<00:00, 307.12 it/sec, feas=True, obj=0.426]
INFO - 10:04:26: 2%|▏ | 6/250 [00:00<00:00, 307.66 it/sec, feas=True, obj=0.426]
INFO - 10:04:26: 3%|▎ | 7/250 [00:00<00:00, 312.70 it/sec, feas=True, obj=0.426]
INFO - 10:04:26: Optimization result:
INFO - 10:04:26: Optimizer info:
INFO - 10:04:26: Status: 0
INFO - 10:04:26: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:26: Solution:
INFO - 10:04:26: Objective: 0.4262518800464312
INFO - 10:04:26: Design space:
INFO - 10:04:26: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:26: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:26: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:26: | left_asymptote | 0 | 0.007364080508047503 | 0.01318893484301132 | float |
INFO - 10:04:26: | capacity | 0.003138431245171017 | 0.003138431247052122 | 0.1318893484301132 | float |
INFO - 10:04:26: | growth_rate | 0.0001932855905600599 | 0.001739570315040539 | 0.001739570315040539 | float |
INFO - 10:04:26: | x_lag | 0 | 37043.63193300553 | 37043.63193300553 | float |
INFO - 10:04:26: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:26: | asymptote_coeff | 0.1 | 8.634258840336605 | 10 | float |
INFO - 10:04:26: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:26: Optimization problem:
INFO - 10:04:26: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:26: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:26: over the design space:
INFO - 10:04:26: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:26: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:26: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:26: | left_asymptote | 0 | 0.00490365213110094 | 0.01318893484301132 | float |
INFO - 10:04:26: | capacity | 0.003138431245171017 | 0.03889007411934724 | 0.1318893484301132 | float |
INFO - 10:04:26: | growth_rate | 0.0001932855905600599 | 0.0007691381793387084 | 0.001739570315040539 | float |
INFO - 10:04:26: | x_lag | 0 | 10662.28523719517 | 37043.63193300553 | float |
INFO - 10:04:26: | logistic_nu | 0.1 | 9.197003967850243 | 10 | float |
INFO - 10:04:26: | asymptote_coeff | 0.1 | 2.224733400313706 | 10 | float |
INFO - 10:04:26: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:26: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:26: 1%| | 2/250 [00:00<00:00, 370.29 it/sec, feas=True, obj=0.828]
INFO - 10:04:26: 1%| | 3/250 [00:00<00:00, 376.27 it/sec, feas=True, obj=0.647]
INFO - 10:04:26: 2%|▏ | 4/250 [00:00<00:00, 370.00 it/sec, feas=True, obj=0.591]
INFO - 10:04:26: 2%|▏ | 5/250 [00:00<00:00, 362.15 it/sec, feas=True, obj=0.398]
INFO - 10:04:26: 2%|▏ | 6/250 [00:00<00:00, 361.39 it/sec, feas=True, obj=0.168]
INFO - 10:04:26: 3%|▎ | 7/250 [00:00<00:00, 361.62 it/sec, feas=True, obj=7.55]
INFO - 10:04:26: 3%|▎ | 8/250 [00:00<00:00, 361.57 it/sec, feas=True, obj=1.07]
INFO - 10:04:26: 4%|▎ | 9/250 [00:00<00:00, 360.66 it/sec, feas=True, obj=0.16]
INFO - 10:04:26: 4%|▍ | 10/250 [00:00<00:00, 360.57 it/sec, feas=True, obj=0.156]
INFO - 10:04:26: 4%|▍ | 11/250 [00:00<00:00, 360.39 it/sec, feas=True, obj=0.144]
INFO - 10:04:26: 5%|▍ | 12/250 [00:00<00:00, 358.31 it/sec, feas=True, obj=0.121]
INFO - 10:04:26: 5%|▌ | 13/250 [00:00<00:00, 358.84 it/sec, feas=True, obj=0.126]
INFO - 10:04:26: 6%|▌ | 14/250 [00:00<00:00, 358.76 it/sec, feas=True, obj=0.116]
INFO - 10:04:26: 6%|▌ | 15/250 [00:00<00:00, 358.61 it/sec, feas=True, obj=0.116]
INFO - 10:04:26: 6%|▋ | 16/250 [00:00<00:00, 357.29 it/sec, feas=True, obj=0.115]
INFO - 10:04:26: 7%|▋ | 17/250 [00:00<00:00, 356.13 it/sec, feas=True, obj=0.115]
INFO - 10:04:26: 7%|▋ | 18/250 [00:00<00:00, 356.05 it/sec, feas=True, obj=0.115]
INFO - 10:04:26: 8%|▊ | 19/250 [00:00<00:00, 353.48 it/sec, feas=True, obj=0.114]
INFO - 10:04:26: 8%|▊ | 20/250 [00:00<00:00, 352.90 it/sec, feas=True, obj=0.112]
INFO - 10:04:26: 8%|▊ | 21/250 [00:00<00:00, 353.04 it/sec, feas=True, obj=0.111]
INFO - 10:04:26: 9%|▉ | 22/250 [00:00<00:00, 352.08 it/sec, feas=True, obj=0.109]
INFO - 10:04:26: 9%|▉ | 23/250 [00:00<00:00, 352.23 it/sec, feas=True, obj=0.109]
INFO - 10:04:26: 10%|▉ | 24/250 [00:00<00:00, 352.23 it/sec, feas=True, obj=0.109]
INFO - 10:04:26: 10%|█ | 25/250 [00:00<00:00, 352.13 it/sec, feas=True, obj=0.108]
INFO - 10:04:26: 10%|█ | 26/250 [00:00<00:00, 351.21 it/sec, feas=True, obj=0.108]
INFO - 10:04:26: 11%|█ | 27/250 [00:00<00:00, 351.26 it/sec, feas=True, obj=0.107]
INFO - 10:04:26: 11%|█ | 28/250 [00:00<00:00, 351.61 it/sec, feas=True, obj=0.107]
INFO - 10:04:26: 12%|█▏ | 29/250 [00:00<00:00, 351.72 it/sec, feas=True, obj=0.107]
INFO - 10:04:26: 12%|█▏ | 30/250 [00:00<00:00, 352.12 it/sec, feas=True, obj=1.66]
INFO - 10:04:26: 12%|█▏ | 31/250 [00:00<00:00, 352.39 it/sec, feas=True, obj=0.107]
INFO - 10:04:26: 13%|█▎ | 32/250 [00:00<00:00, 351.71 it/sec, feas=True, obj=0.107]
INFO - 10:04:26: 13%|█▎ | 33/250 [00:00<00:00, 351.85 it/sec, feas=True, obj=0.273]
INFO - 10:04:26: 14%|█▎ | 34/250 [00:00<00:00, 352.16 it/sec, feas=True, obj=0.107]
INFO - 10:04:26: 14%|█▍ | 35/250 [00:00<00:00, 351.56 it/sec, feas=True, obj=0.106]
INFO - 10:04:26: 14%|█▍ | 36/250 [00:00<00:00, 351.14 it/sec, feas=True, obj=0.12]
INFO - 10:04:26: 15%|█▍ | 37/250 [00:00<00:00, 351.39 it/sec, feas=True, obj=0.106]
INFO - 10:04:26: 15%|█▌ | 38/250 [00:00<00:00, 351.41 it/sec, feas=True, obj=0.106]
INFO - 10:04:26: 16%|█▌ | 39/250 [00:00<00:00, 351.37 it/sec, feas=True, obj=0.106]
INFO - 10:04:26: 16%|█▌ | 40/250 [00:00<00:00, 351.45 it/sec, feas=True, obj=0.106]
INFO - 10:04:26: 16%|█▋ | 41/250 [00:00<00:00, 351.41 it/sec, feas=True, obj=0.105]
INFO - 10:04:26: 17%|█▋ | 42/250 [00:00<00:00, 351.74 it/sec, feas=True, obj=0.111]
INFO - 10:04:26: 17%|█▋ | 43/250 [00:00<00:00, 351.02 it/sec, feas=True, obj=0.105]
INFO - 10:04:26: 18%|█▊ | 44/250 [00:00<00:00, 351.25 it/sec, feas=True, obj=0.106]
INFO - 10:04:26: 18%|█▊ | 45/250 [00:00<00:00, 351.32 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 18%|█▊ | 46/250 [00:00<00:00, 350.92 it/sec, feas=True, obj=5.13e+7]
INFO - 10:04:26: 19%|█▉ | 47/250 [00:00<00:00, 350.98 it/sec, feas=True, obj=0.124]
INFO - 10:04:26: 19%|█▉ | 48/250 [00:00<00:00, 351.02 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 20%|█▉ | 49/250 [00:00<00:00, 350.61 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 20%|██ | 50/250 [00:00<00:00, 350.64 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 20%|██ | 51/250 [00:00<00:00, 350.35 it/sec, feas=True, obj=1.09e+8]
INFO - 10:04:26: 21%|██ | 52/250 [00:00<00:00, 350.58 it/sec, feas=True, obj=0.137]
INFO - 10:04:26: 21%|██ | 53/250 [00:00<00:00, 350.65 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 22%|██▏ | 54/250 [00:00<00:00, 350.76 it/sec, feas=True, obj=5.17e+7]
INFO - 10:04:26: 22%|██▏ | 55/250 [00:00<00:00, 350.84 it/sec, feas=True, obj=0.133]
INFO - 10:04:26: 22%|██▏ | 56/250 [00:00<00:00, 350.89 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 23%|██▎ | 57/250 [00:00<00:00, 350.57 it/sec, feas=True, obj=3.47e+7]
INFO - 10:04:26: 23%|██▎ | 58/250 [00:00<00:00, 350.73 it/sec, feas=True, obj=0.132]
INFO - 10:04:26: 24%|██▎ | 59/250 [00:00<00:00, 350.71 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 24%|██▍ | 60/250 [00:00<00:00, 350.43 it/sec, feas=True, obj=2.78e+7]
INFO - 10:04:26: 24%|██▍ | 61/250 [00:00<00:00, 350.51 it/sec, feas=True, obj=0.132]
INFO - 10:04:26: 25%|██▍ | 62/250 [00:00<00:00, 350.00 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 25%|██▌ | 63/250 [00:00<00:00, 349.72 it/sec, feas=True, obj=2.45e+7]
INFO - 10:04:26: 26%|██▌ | 64/250 [00:00<00:00, 349.79 it/sec, feas=True, obj=0.132]
INFO - 10:04:26: 26%|██▌ | 65/250 [00:00<00:00, 349.35 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 26%|██▋ | 66/250 [00:00<00:00, 348.57 it/sec, feas=True, obj=2.36e+7]
INFO - 10:04:26: 27%|██▋ | 67/250 [00:00<00:00, 348.70 it/sec, feas=True, obj=0.132]
INFO - 10:04:26: 27%|██▋ | 68/250 [00:00<00:00, 348.72 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 28%|██▊ | 69/250 [00:00<00:00, 348.45 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 28%|██▊ | 70/250 [00:00<00:00, 348.58 it/sec, feas=True, obj=1.4e+7]
INFO - 10:04:26: 28%|██▊ | 71/250 [00:00<00:00, 348.75 it/sec, feas=True, obj=0.136]
INFO - 10:04:26: 29%|██▉ | 72/250 [00:00<00:00, 348.38 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 29%|██▉ | 73/250 [00:00<00:00, 348.53 it/sec, feas=True, obj=7.55e+6]
INFO - 10:04:26: 30%|██▉ | 74/250 [00:00<00:00, 348.41 it/sec, feas=True, obj=0.137]
INFO - 10:04:26: 30%|███ | 75/250 [00:00<00:00, 348.36 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 30%|███ | 76/250 [00:00<00:00, 348.47 it/sec, feas=True, obj=6.85e+6]
INFO - 10:04:26: 31%|███ | 77/250 [00:00<00:00, 348.52 it/sec, feas=True, obj=0.137]
INFO - 10:04:26: 31%|███ | 78/250 [00:00<00:00, 348.54 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 32%|███▏ | 79/250 [00:00<00:00, 348.67 it/sec, feas=True, obj=6.93e+6]
INFO - 10:04:26: 32%|███▏ | 80/250 [00:00<00:00, 348.43 it/sec, feas=True, obj=0.138]
INFO - 10:04:26: 32%|███▏ | 81/250 [00:00<00:00, 348.50 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 33%|███▎ | 82/250 [00:00<00:00, 348.62 it/sec, feas=True, obj=7.01e+6]
INFO - 10:04:26: 33%|███▎ | 83/250 [00:00<00:00, 348.53 it/sec, feas=True, obj=0.138]
INFO - 10:04:26: 34%|███▎ | 84/250 [00:00<00:00, 348.45 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 34%|███▍ | 85/250 [00:00<00:00, 348.48 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 34%|███▍ | 86/250 [00:00<00:00, 348.56 it/sec, feas=True, obj=0.109]
INFO - 10:04:26: 35%|███▍ | 87/250 [00:00<00:00, 348.57 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 35%|███▌ | 88/250 [00:00<00:00, 348.73 it/sec, feas=True, obj=0.143]
INFO - 10:04:26: 36%|███▌ | 89/250 [00:00<00:00, 348.84 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 36%|███▌ | 90/250 [00:00<00:00, 348.88 it/sec, feas=True, obj=0.103]
INFO - 10:04:26: 36%|███▋ | 91/250 [00:00<00:00, 348.84 it/sec, feas=True, obj=0.106]
INFO - 10:04:26: 37%|███▋ | 92/250 [00:00<00:00, 348.92 it/sec, feas=True, obj=0.103]
INFO - 10:04:26: 37%|███▋ | 93/250 [00:00<00:00, 349.08 it/sec, feas=True, obj=0.103]
INFO - 10:04:26: 38%|███▊ | 94/250 [00:00<00:00, 349.12 it/sec, feas=True, obj=0.103]
INFO - 10:04:26: 38%|███▊ | 95/250 [00:00<00:00, 349.15 it/sec, feas=True, obj=0.103]
INFO - 10:04:26: 38%|███▊ | 96/250 [00:00<00:00, 349.15 it/sec, feas=True, obj=0.103]
INFO - 10:04:26: 39%|███▉ | 97/250 [00:00<00:00, 349.17 it/sec, feas=True, obj=0.103]
INFO - 10:04:26: 39%|███▉ | 98/250 [00:00<00:00, 349.22 it/sec, feas=True, obj=0.103]
INFO - 10:04:26: 40%|███▉ | 99/250 [00:00<00:00, 349.26 it/sec, feas=True, obj=0.103]
INFO - 10:04:26: 40%|████ | 100/250 [00:00<00:00, 349.18 it/sec, feas=True, obj=0.103]
INFO - 10:04:26: 40%|████ | 101/250 [00:00<00:00, 349.23 it/sec, feas=True, obj=0.103]
INFO - 10:04:26: 41%|████ | 102/250 [00:00<00:00, 349.16 it/sec, feas=True, obj=0.103]
INFO - 10:04:26: 41%|████ | 103/250 [00:00<00:00, 349.04 it/sec, feas=True, obj=0.103]
INFO - 10:04:26: 42%|████▏ | 104/250 [00:00<00:00, 348.94 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 42%|████▏ | 105/250 [00:00<00:00, 348.96 it/sec, feas=True, obj=0.103]
INFO - 10:04:26: 42%|████▏ | 106/250 [00:00<00:00, 348.81 it/sec, feas=True, obj=0.103]
INFO - 10:04:26: 43%|████▎ | 107/250 [00:00<00:00, 348.86 it/sec, feas=True, obj=0.103]
INFO - 10:04:26: 43%|████▎ | 108/250 [00:00<00:00, 348.97 it/sec, feas=True, obj=0.103]
INFO - 10:04:26: 44%|████▎ | 109/250 [00:00<00:00, 348.83 it/sec, feas=True, obj=0.103]
INFO - 10:04:26: 44%|████▍ | 110/250 [00:00<00:00, 347.54 it/sec, feas=True, obj=0.105]
INFO - 10:04:26: 44%|████▍ | 111/250 [00:00<00:00, 347.68 it/sec, feas=True, obj=0.103]
INFO - 10:04:26: 45%|████▍ | 112/250 [00:00<00:00, 347.81 it/sec, feas=True, obj=0.372]
INFO - 10:04:26: 45%|████▌ | 113/250 [00:00<00:00, 347.97 it/sec, feas=True, obj=0.113]
INFO - 10:04:26: 46%|████▌ | 114/250 [00:00<00:00, 348.10 it/sec, feas=True, obj=0.102]
INFO - 10:04:26: 46%|████▌ | 115/250 [00:00<00:00, 348.30 it/sec, feas=True, obj=0.365]
INFO - 10:04:26: 46%|████▋ | 116/250 [00:00<00:00, 348.38 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 47%|████▋ | 117/250 [00:00<00:00, 348.53 it/sec, feas=True, obj=0.225]
INFO - 10:04:26: 47%|████▋ | 118/250 [00:00<00:00, 348.69 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 48%|████▊ | 119/250 [00:00<00:00, 348.81 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 48%|████▊ | 120/250 [00:00<00:00, 348.93 it/sec, feas=True, obj=0.102]
INFO - 10:04:26: 48%|████▊ | 121/250 [00:00<00:00, 349.03 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 49%|████▉ | 122/250 [00:00<00:00, 349.19 it/sec, feas=True, obj=0.111]
INFO - 10:04:26: 49%|████▉ | 123/250 [00:00<00:00, 349.27 it/sec, feas=True, obj=0.101]
INFO - 10:04:26: 50%|████▉ | 124/250 [00:00<00:00, 349.35 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 50%|█████ | 125/250 [00:00<00:00, 349.45 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 50%|█████ | 126/250 [00:00<00:00, 349.64 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 51%|█████ | 127/250 [00:00<00:00, 349.73 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 51%|█████ | 128/250 [00:00<00:00, 349.78 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 52%|█████▏ | 129/250 [00:00<00:00, 349.86 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 52%|█████▏ | 130/250 [00:00<00:00, 349.93 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 52%|█████▏ | 131/250 [00:00<00:00, 350.03 it/sec, feas=True, obj=0.0999]
INFO - 10:04:26: 53%|█████▎ | 132/250 [00:00<00:00, 350.17 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 53%|█████▎ | 133/250 [00:00<00:00, 350.27 it/sec, feas=True, obj=0.0998]
INFO - 10:04:26: 54%|█████▎ | 134/250 [00:00<00:00, 348.46 it/sec, feas=True, obj=0.0999]
INFO - 10:04:26: 54%|█████▍ | 135/250 [00:00<00:00, 348.41 it/sec, feas=True, obj=0.0997]
INFO - 10:04:26: 54%|█████▍ | 136/250 [00:00<00:00, 348.55 it/sec, feas=True, obj=0.0997]
INFO - 10:04:26: 55%|█████▍ | 137/250 [00:00<00:00, 348.61 it/sec, feas=True, obj=0.0996]
INFO - 10:04:26: 55%|█████▌ | 138/250 [00:00<00:00, 348.68 it/sec, feas=True, obj=0.0996]
INFO - 10:04:26: 56%|█████▌ | 139/250 [00:00<00:00, 348.79 it/sec, feas=True, obj=0.0995]
INFO - 10:04:26: 56%|█████▌ | 140/250 [00:00<00:00, 348.90 it/sec, feas=True, obj=0.0995]
INFO - 10:04:26: 56%|█████▋ | 141/250 [00:00<00:00, 348.97 it/sec, feas=True, obj=0.0993]
INFO - 10:04:26: 57%|█████▋ | 142/250 [00:00<00:00, 349.08 it/sec, feas=True, obj=0.1]
INFO - 10:04:26: 57%|█████▋ | 143/250 [00:00<00:00, 349.17 it/sec, feas=True, obj=0.0993]
INFO - 10:04:26: 58%|█████▊ | 144/250 [00:00<00:00, 349.30 it/sec, feas=True, obj=0.0994]
INFO - 10:04:26: 58%|█████▊ | 145/250 [00:00<00:00, 349.37 it/sec, feas=True, obj=0.0992]
INFO - 10:04:26: 58%|█████▊ | 146/250 [00:00<00:00, 349.44 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 59%|█████▉ | 147/250 [00:00<00:00, 349.51 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 59%|█████▉ | 148/250 [00:00<00:00, 349.59 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 60%|█████▉ | 149/250 [00:00<00:00, 349.66 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 60%|██████ | 150/250 [00:00<00:00, 349.75 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 60%|██████ | 151/250 [00:00<00:00, 349.82 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 61%|██████ | 152/250 [00:00<00:00, 349.93 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 61%|██████ | 153/250 [00:00<00:00, 349.99 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 62%|██████▏ | 154/250 [00:00<00:00, 350.04 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 62%|██████▏ | 155/250 [00:00<00:00, 350.10 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 62%|██████▏ | 156/250 [00:00<00:00, 350.16 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 63%|██████▎ | 157/250 [00:00<00:00, 350.26 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 63%|██████▎ | 158/250 [00:00<00:00, 350.31 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: 64%|██████▎ | 159/250 [00:00<00:00, 350.35 it/sec, feas=True, obj=0.0991]
INFO - 10:04:26: Optimization result:
INFO - 10:04:26: Optimizer info:
INFO - 10:04:26: Status: None
INFO - 10:04:26: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:26: Solution:
INFO - 10:04:26: Objective: 0.09908276192454316
INFO - 10:04:26: Design space:
INFO - 10:04:26: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:26: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:26: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:26: | left_asymptote | 0 | 0.003381856483154742 | 0.01318893484301132 | float |
INFO - 10:04:26: | capacity | 0.003138431245171017 | 0.01148216019469014 | 0.1318893484301132 | float |
INFO - 10:04:26: | growth_rate | 0.0001932855905600599 | 0.0001932855905600599 | 0.001739570315040539 | float |
INFO - 10:04:26: | x_lag | 0 | 12133.6398597847 | 37043.63193300553 | float |
INFO - 10:04:26: | logistic_nu | 0.1 | 0.3969626588352166 | 10 | float |
INFO - 10:04:26: | asymptote_coeff | 0.1 | 0.9700136528777796 | 10 | float |
INFO - 10:04:26: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:26: Optimization problem:
INFO - 10:04:26: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:26: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:26: over the design space:
INFO - 10:04:26: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:26: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:26: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:26: | left_asymptote | 0 | 0.006124059417652594 | 0.01318893484301132 | float |
INFO - 10:04:26: | capacity | 0.003138431245171017 | 0.04834099530550832 | 0.1318893484301132 | float |
INFO - 10:04:26: | growth_rate | 0.0001932855905600599 | 0.001641872737619833 | 0.001739570315040539 | float |
INFO - 10:04:26: | x_lag | 0 | 34667.60135835879 | 37043.63193300553 | float |
INFO - 10:04:26: | logistic_nu | 0.1 | 2.425630286446258 | 10 | float |
INFO - 10:04:26: | asymptote_coeff | 0.1 | 7.080730934612159 | 10 | float |
INFO - 10:04:26: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:26: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:26: 1%| | 2/250 [00:00<00:00, 367.97 it/sec, feas=True, obj=1]
INFO - 10:04:26: 1%| | 3/250 [00:00<00:00, 386.62 it/sec, feas=True, obj=0.387]
INFO - 10:04:26: 2%|▏ | 4/250 [00:00<00:00, 378.11 it/sec, feas=True, obj=0.352]
INFO - 10:04:26: 2%|▏ | 5/250 [00:00<00:00, 375.36 it/sec, feas=True, obj=0.322]
INFO - 10:04:26: 2%|▏ | 6/250 [00:00<00:00, 374.36 it/sec, feas=True, obj=0.297]
INFO - 10:04:26: 3%|▎ | 7/250 [00:00<00:00, 372.79 it/sec, feas=True, obj=0.271]
INFO - 10:04:26: 3%|▎ | 8/250 [00:00<00:00, 371.24 it/sec, feas=True, obj=0.263]
INFO - 10:04:26: 4%|▎ | 9/250 [00:00<00:00, 369.98 it/sec, feas=True, obj=0.239]
INFO - 10:04:26: 4%|▍ | 10/250 [00:00<00:00, 368.11 it/sec, feas=True, obj=0.217]
INFO - 10:04:26: 4%|▍ | 11/250 [00:00<00:00, 368.31 it/sec, feas=True, obj=0.221]
INFO - 10:04:26: 5%|▍ | 12/250 [00:00<00:00, 367.91 it/sec, feas=True, obj=0.164]
INFO - 10:04:26: 5%|▌ | 13/250 [00:00<00:00, 366.98 it/sec, feas=True, obj=0.161]
INFO - 10:04:26: 6%|▌ | 14/250 [00:00<00:00, 367.52 it/sec, feas=True, obj=0.354]
INFO - 10:04:26: 6%|▌ | 15/250 [00:00<00:00, 367.40 it/sec, feas=True, obj=0.165]
INFO - 10:04:26: 6%|▋ | 16/250 [00:00<00:00, 367.01 it/sec, feas=True, obj=0.16]
INFO - 10:04:26: 7%|▋ | 17/250 [00:00<00:00, 367.17 it/sec, feas=True, obj=0.161]
INFO - 10:04:26: 7%|▋ | 18/250 [00:00<00:00, 350.73 it/sec, feas=True, obj=0.156]
INFO - 10:04:26: 8%|▊ | 19/250 [00:00<00:00, 349.18 it/sec, feas=True, obj=0.151]
INFO - 10:04:26: 8%|▊ | 20/250 [00:00<00:00, 348.66 it/sec, feas=True, obj=0.149]
INFO - 10:04:26: 8%|▊ | 21/250 [00:00<00:00, 348.54 it/sec, feas=True, obj=0.149]
INFO - 10:04:26: 9%|▉ | 22/250 [00:00<00:00, 347.46 it/sec, feas=True, obj=0.148]
INFO - 10:04:26: 9%|▉ | 23/250 [00:00<00:00, 346.68 it/sec, feas=True, obj=0.149]
INFO - 10:04:26: 10%|▉ | 24/250 [00:00<00:00, 346.65 it/sec, feas=True, obj=0.147]
INFO - 10:04:26: 10%|█ | 25/250 [00:00<00:00, 346.98 it/sec, feas=True, obj=0.146]
INFO - 10:04:26: 10%|█ | 26/250 [00:00<00:00, 347.32 it/sec, feas=True, obj=0.141]
INFO - 10:04:26: 11%|█ | 27/250 [00:00<00:00, 347.09 it/sec, feas=True, obj=0.134]
INFO - 10:04:26: 11%|█ | 28/250 [00:00<00:00, 347.41 it/sec, feas=True, obj=0.124]
INFO - 10:04:26: 12%|█▏ | 29/250 [00:00<00:00, 347.36 it/sec, feas=True, obj=0.552]
INFO - 10:04:26: 12%|█▏ | 30/250 [00:00<00:00, 347.32 it/sec, feas=True, obj=0.118]
INFO - 10:04:26: 12%|█▏ | 31/250 [00:00<00:00, 339.76 it/sec, feas=True, obj=0.115]
INFO - 10:04:26: 13%|█▎ | 32/250 [00:00<00:00, 340.13 it/sec, feas=True, obj=0.115]
INFO - 10:04:26: 13%|█▎ | 33/250 [00:00<00:00, 340.33 it/sec, feas=True, obj=0.111]
INFO - 10:04:26: 14%|█▎ | 34/250 [00:00<00:00, 340.65 it/sec, feas=True, obj=0.11]
INFO - 10:04:26: 14%|█▍ | 35/250 [00:00<00:00, 340.92 it/sec, feas=True, obj=0.109]
INFO - 10:04:26: 14%|█▍ | 36/250 [00:00<00:00, 341.06 it/sec, feas=True, obj=0.108]
INFO - 10:04:26: 15%|█▍ | 37/250 [00:00<00:00, 341.50 it/sec, feas=True, obj=0.112]
INFO - 10:04:26: 15%|█▌ | 38/250 [00:00<00:00, 341.68 it/sec, feas=True, obj=0.108]
INFO - 10:04:26: 16%|█▌ | 39/250 [00:00<00:00, 342.02 it/sec, feas=True, obj=0.107]
INFO - 10:04:26: 16%|█▌ | 40/250 [00:00<00:00, 342.00 it/sec, feas=True, obj=0.107]
INFO - 10:04:26: 16%|█▋ | 41/250 [00:00<00:00, 342.41 it/sec, feas=True, obj=0.106]
INFO - 10:04:26: 17%|█▋ | 42/250 [00:00<00:00, 342.85 it/sec, feas=True, obj=0.108]
INFO - 10:04:26: 17%|█▋ | 43/250 [00:00<00:00, 343.20 it/sec, feas=True, obj=0.106]
INFO - 10:04:26: 18%|█▊ | 44/250 [00:00<00:00, 337.83 it/sec, feas=True, obj=0.106]
INFO - 10:04:26: 18%|█▊ | 45/250 [00:00<00:00, 337.91 it/sec, feas=True, obj=0.105]
INFO - 10:04:26: 18%|█▊ | 46/250 [00:00<00:00, 338.12 it/sec, feas=True, obj=0.105]
INFO - 10:04:26: 19%|█▉ | 47/250 [00:00<00:00, 338.46 it/sec, feas=True, obj=0.105]
INFO - 10:04:26: 19%|█▉ | 48/250 [00:00<00:00, 338.82 it/sec, feas=True, obj=0.105]
INFO - 10:04:26: 20%|█▉ | 49/250 [00:00<00:00, 338.76 it/sec, feas=True, obj=0.105]
INFO - 10:04:26: 20%|██ | 50/250 [00:00<00:00, 339.07 it/sec, feas=True, obj=0.105]
INFO - 10:04:26: 20%|██ | 51/250 [00:00<00:00, 339.17 it/sec, feas=True, obj=0.105]
INFO - 10:04:26: 21%|██ | 52/250 [00:00<00:00, 339.25 it/sec, feas=True, obj=0.105]
INFO - 10:04:26: 21%|██ | 53/250 [00:00<00:00, 339.67 it/sec, feas=True, obj=0.105]
INFO - 10:04:26: 22%|██▏ | 54/250 [00:00<00:00, 340.04 it/sec, feas=True, obj=0.105]
INFO - 10:04:26: 22%|██▏ | 55/250 [00:00<00:00, 340.15 it/sec, feas=True, obj=0.126]
INFO - 10:04:26: 22%|██▏ | 56/250 [00:00<00:00, 339.96 it/sec, feas=True, obj=0.105]
INFO - 10:04:26: 23%|██▎ | 57/250 [00:00<00:00, 340.01 it/sec, feas=True, obj=0.105]
INFO - 10:04:26: 23%|██▎ | 58/250 [00:00<00:00, 340.06 it/sec, feas=True, obj=0.105]
INFO - 10:04:26: 24%|██▎ | 59/250 [00:00<00:00, 340.10 it/sec, feas=True, obj=0.121]
INFO - 10:04:26: 24%|██▍ | 60/250 [00:00<00:00, 340.10 it/sec, feas=True, obj=0.105]
INFO - 10:04:26: 24%|██▍ | 61/250 [00:00<00:00, 340.16 it/sec, feas=True, obj=0.105]
INFO - 10:04:26: 25%|██▍ | 62/250 [00:00<00:00, 340.51 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 25%|██▌ | 63/250 [00:00<00:00, 340.81 it/sec, feas=True, obj=0.185]
INFO - 10:04:26: 26%|██▌ | 64/250 [00:00<00:00, 340.80 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 26%|██▌ | 65/250 [00:00<00:00, 341.05 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 26%|██▋ | 66/250 [00:00<00:00, 341.13 it/sec, feas=True, obj=0.109]
INFO - 10:04:26: 27%|██▋ | 67/250 [00:00<00:00, 341.13 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 27%|██▋ | 68/250 [00:00<00:00, 341.37 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 28%|██▊ | 69/250 [00:00<00:00, 341.71 it/sec, feas=True, obj=0.108]
INFO - 10:04:26: 28%|██▊ | 70/250 [00:00<00:00, 341.92 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 28%|██▊ | 71/250 [00:00<00:00, 339.41 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 29%|██▉ | 72/250 [00:00<00:00, 339.68 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 29%|██▉ | 73/250 [00:00<00:00, 339.99 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 30%|██▉ | 74/250 [00:00<00:00, 340.17 it/sec, feas=True, obj=0.104]
INFO - 10:04:26: 30%|███ | 75/250 [00:00<00:00, 340.43 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 30%|███ | 76/250 [00:00<00:00, 340.76 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 31%|███ | 77/250 [00:00<00:00, 340.98 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 31%|███ | 78/250 [00:00<00:00, 341.23 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 32%|███▏ | 79/250 [00:00<00:00, 341.45 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 32%|███▏ | 80/250 [00:00<00:00, 341.65 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 32%|███▏ | 81/250 [00:00<00:00, 341.90 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 33%|███▎ | 82/250 [00:00<00:00, 342.08 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 33%|███▎ | 83/250 [00:00<00:00, 342.32 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 34%|███▎ | 84/250 [00:00<00:00, 342.52 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 34%|███▍ | 85/250 [00:00<00:00, 342.75 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 34%|███▍ | 86/250 [00:00<00:00, 342.92 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 35%|███▍ | 87/250 [00:00<00:00, 343.04 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 35%|███▌ | 88/250 [00:00<00:00, 343.27 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 36%|███▌ | 89/250 [00:00<00:00, 343.34 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 36%|███▌ | 90/250 [00:00<00:00, 340.57 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 36%|███▋ | 91/250 [00:00<00:00, 340.52 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 37%|███▋ | 92/250 [00:00<00:00, 340.55 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 37%|███▋ | 93/250 [00:00<00:00, 340.47 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 38%|███▊ | 94/250 [00:00<00:00, 340.71 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 38%|███▊ | 95/250 [00:00<00:00, 340.88 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 38%|███▊ | 96/250 [00:00<00:00, 341.04 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 39%|███▉ | 97/250 [00:00<00:00, 341.28 it/sec, feas=True, obj=0.104]
INFO - 10:04:27: 39%|███▉ | 98/250 [00:00<00:00, 341.49 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 40%|███▉ | 99/250 [00:00<00:00, 341.71 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 40%|████ | 100/250 [00:00<00:00, 341.87 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 40%|████ | 101/250 [00:00<00:00, 342.04 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 41%|████ | 102/250 [00:00<00:00, 342.28 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 41%|████ | 103/250 [00:00<00:00, 342.49 it/sec, feas=True, obj=0.104]
INFO - 10:04:27: 42%|████▏ | 104/250 [00:00<00:00, 342.57 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 42%|████▏ | 105/250 [00:00<00:00, 342.74 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 42%|████▏ | 106/250 [00:00<00:00, 340.60 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 43%|████▎ | 107/250 [00:00<00:00, 340.77 it/sec, feas=True, obj=0.115]
INFO - 10:04:27: 43%|████▎ | 108/250 [00:00<00:00, 340.88 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 44%|████▎ | 109/250 [00:00<00:00, 341.04 it/sec, feas=True, obj=19.3]
INFO - 10:04:27: 44%|████▍ | 110/250 [00:00<00:00, 341.17 it/sec, feas=True, obj=0.102]
INFO - 10:04:27: 44%|████▍ | 111/250 [00:00<00:00, 341.35 it/sec, feas=True, obj=9.05]
INFO - 10:04:27: 45%|████▍ | 112/250 [00:00<00:00, 341.56 it/sec, feas=True, obj=0.107]
INFO - 10:04:27: 45%|████▌ | 113/250 [00:00<00:00, 341.68 it/sec, feas=True, obj=0.102]
INFO - 10:04:27: 46%|████▌ | 114/250 [00:00<00:00, 340.91 it/sec, feas=True, obj=0.109]
INFO - 10:04:27: 46%|████▌ | 115/250 [00:00<00:00, 341.04 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 46%|████▋ | 116/250 [00:00<00:00, 341.20 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 47%|████▋ | 117/250 [00:00<00:00, 341.35 it/sec, feas=True, obj=8.66]
INFO - 10:04:27: 47%|████▋ | 118/250 [00:00<00:00, 341.49 it/sec, feas=True, obj=0.104]
INFO - 10:04:27: 48%|████▊ | 119/250 [00:00<00:00, 341.61 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 48%|████▊ | 120/250 [00:00<00:00, 341.74 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 48%|████▊ | 121/250 [00:00<00:00, 341.93 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 49%|████▉ | 122/250 [00:00<00:00, 342.04 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 49%|████▉ | 123/250 [00:00<00:00, 342.15 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 50%|████▉ | 124/250 [00:00<00:00, 342.27 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 50%|█████ | 125/250 [00:00<00:00, 342.24 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 50%|█████ | 126/250 [00:00<00:00, 342.38 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 51%|█████ | 127/250 [00:00<00:00, 342.48 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 51%|█████ | 128/250 [00:00<00:00, 342.56 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 52%|█████▏ | 129/250 [00:00<00:00, 342.70 it/sec, feas=True, obj=0.105]
INFO - 10:04:27: 52%|█████▏ | 130/250 [00:00<00:00, 342.79 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 52%|█████▏ | 131/250 [00:00<00:00, 342.95 it/sec, feas=True, obj=0.102]
INFO - 10:04:27: 53%|█████▎ | 132/250 [00:00<00:00, 343.03 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 53%|█████▎ | 133/250 [00:00<00:00, 343.15 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 54%|█████▎ | 134/250 [00:00<00:00, 343.23 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 54%|█████▍ | 135/250 [00:00<00:00, 343.21 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 54%|█████▍ | 136/250 [00:00<00:00, 343.30 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 55%|█████▍ | 137/250 [00:00<00:00, 343.45 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 55%|█████▌ | 138/250 [00:00<00:00, 343.52 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 56%|█████▌ | 139/250 [00:00<00:00, 343.60 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 56%|█████▌ | 140/250 [00:00<00:00, 343.55 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 56%|█████▋ | 141/250 [00:00<00:00, 343.49 it/sec, feas=True, obj=0.0999]
INFO - 10:04:27: 57%|█████▋ | 142/250 [00:00<00:00, 343.45 it/sec, feas=True, obj=0.0998]
INFO - 10:04:27: 57%|█████▋ | 143/250 [00:00<00:00, 343.53 it/sec, feas=True, obj=0.0999]
INFO - 10:04:27: 58%|█████▊ | 144/250 [00:00<00:00, 343.44 it/sec, feas=True, obj=0.0997]
INFO - 10:04:27: 58%|█████▊ | 145/250 [00:00<00:00, 343.49 it/sec, feas=True, obj=0.0996]
INFO - 10:04:27: 58%|█████▊ | 146/250 [00:00<00:00, 343.49 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 59%|█████▉ | 147/250 [00:00<00:00, 343.56 it/sec, feas=True, obj=0.0995]
INFO - 10:04:27: 59%|█████▉ | 148/250 [00:00<00:00, 343.66 it/sec, feas=True, obj=0.0996]
INFO - 10:04:27: 60%|█████▉ | 149/250 [00:00<00:00, 343.10 it/sec, feas=True, obj=0.0995]
INFO - 10:04:27: 60%|██████ | 150/250 [00:00<00:00, 342.97 it/sec, feas=True, obj=0.0994]
INFO - 10:04:27: 60%|██████ | 151/250 [00:00<00:00, 343.02 it/sec, feas=True, obj=0.0994]
INFO - 10:04:27: 61%|██████ | 152/250 [00:00<00:00, 342.88 it/sec, feas=True, obj=0.0993]
INFO - 10:04:27: 61%|██████ | 153/250 [00:00<00:00, 342.98 it/sec, feas=True, obj=0.0994]
INFO - 10:04:27: 62%|██████▏ | 154/250 [00:00<00:00, 342.95 it/sec, feas=True, obj=0.0993]
INFO - 10:04:27: 62%|██████▏ | 155/250 [00:00<00:00, 343.00 it/sec, feas=True, obj=0.0993]
INFO - 10:04:27: 62%|██████▏ | 156/250 [00:00<00:00, 342.97 it/sec, feas=True, obj=0.0992]
INFO - 10:04:27: 63%|██████▎ | 157/250 [00:00<00:00, 342.94 it/sec, feas=True, obj=0.0992]
INFO - 10:04:27: 63%|██████▎ | 158/250 [00:00<00:00, 342.88 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 64%|██████▎ | 159/250 [00:00<00:00, 342.85 it/sec, feas=True, obj=0.0992]
INFO - 10:04:27: 64%|██████▍ | 160/250 [00:00<00:00, 342.80 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 64%|██████▍ | 161/250 [00:00<00:00, 342.74 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 65%|██████▍ | 162/250 [00:00<00:00, 342.61 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 65%|██████▌ | 163/250 [00:00<00:00, 342.56 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 66%|██████▌ | 164/250 [00:00<00:00, 342.64 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 66%|██████▌ | 165/250 [00:00<00:00, 342.69 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 66%|██████▋ | 166/250 [00:00<00:00, 342.66 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 67%|██████▋ | 167/250 [00:00<00:00, 342.76 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 67%|██████▋ | 168/250 [00:00<00:00, 341.30 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 68%|██████▊ | 169/250 [00:00<00:00, 341.39 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 68%|██████▊ | 170/250 [00:00<00:00, 341.44 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: Optimization result:
INFO - 10:04:27: Optimizer info:
INFO - 10:04:27: Status: None
INFO - 10:04:27: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:27: Solution:
INFO - 10:04:27: Objective: 0.09908276192447225
INFO - 10:04:27: Design space:
INFO - 10:04:27: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:27: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:27: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:27: | left_asymptote | 0 | 0.003381859140811734 | 0.01318893484301132 | float |
INFO - 10:04:27: | capacity | 0.003138431245171017 | 0.03059464597527254 | 0.1318893484301132 | float |
INFO - 10:04:27: | growth_rate | 0.0001932855905600599 | 0.0001932855905600599 | 0.001739570315040539 | float |
INFO - 10:04:27: | x_lag | 0 | 14622.3122536364 | 37043.63193300553 | float |
INFO - 10:04:27: | logistic_nu | 0.1 | 0.3969600658917978 | 10 | float |
INFO - 10:04:27: | asymptote_coeff | 0.1 | 1.56923075322149 | 10 | float |
INFO - 10:04:27: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:27: Optimization problem:
INFO - 10:04:27: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:27: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:27: over the design space:
INFO - 10:04:27: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:27: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:27: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:27: | left_asymptote | 0 | 0.008671482637716652 | 0.01318893484301132 | float |
INFO - 10:04:27: | capacity | 0.003138431245171017 | 0.1157567282078611 | 0.1318893484301132 | float |
INFO - 10:04:27: | growth_rate | 0.0001932855905600599 | 0.0006700880231811562 | 0.001739570315040539 | float |
INFO - 10:04:27: | x_lag | 0 | 3369.470247429467 | 37043.63193300553 | float |
INFO - 10:04:27: | logistic_nu | 0.1 | 1.720671591034137 | 10 | float |
INFO - 10:04:27: | asymptote_coeff | 0.1 | 6.258728338364227 | 10 | float |
INFO - 10:04:27: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:27: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:27: 1%| | 2/250 [00:00<00:00, 365.36 it/sec, feas=True, obj=1]
INFO - 10:04:27: 1%| | 3/250 [00:00<00:00, 380.48 it/sec, feas=True, obj=0.842]
INFO - 10:04:27: 2%|▏ | 4/250 [00:00<00:00, 372.86 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: 2%|▏ | 5/250 [00:00<00:00, 362.12 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: 2%|▏ | 6/250 [00:00<00:00, 356.98 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: 3%|▎ | 7/250 [00:00<00:00, 355.34 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: 3%|▎ | 8/250 [00:00<00:00, 353.91 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: Optimization result:
INFO - 10:04:27: Optimizer info:
INFO - 10:04:27: Status: None
INFO - 10:04:27: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:27: Solution:
INFO - 10:04:27: Objective: 0.42625187503772005
INFO - 10:04:27: Design space:
INFO - 10:04:27: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:27: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:27: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:27: | left_asymptote | 0 | 0.007364113566436417 | 0.01318893484301132 | float |
INFO - 10:04:27: | capacity | 0.003138431245171017 | 0.0757590767107849 | 0.1318893484301132 | float |
INFO - 10:04:27: | growth_rate | 0.0001932855905600599 | 0.0006700291219720765 | 0.001739570315040539 | float |
INFO - 10:04:27: | x_lag | 0 | 14463.76691069004 | 37043.63193300553 | float |
INFO - 10:04:27: | logistic_nu | 0.1 | 0.1000977599858243 | 10 | float |
INFO - 10:04:27: | asymptote_coeff | 0.1 | 7.686149968876952 | 10 | float |
INFO - 10:04:27: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:27: Optimization problem:
INFO - 10:04:27: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:27: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:27: over the design space:
INFO - 10:04:27: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:27: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:27: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:27: | left_asymptote | 0 | 0.001273728675317141 | 0.01318893484301132 | float |
INFO - 10:04:27: | capacity | 0.003138431245171017 | 0.09405663702044374 | 0.1318893484301132 | float |
INFO - 10:04:27: | growth_rate | 0.0001932855905600599 | 0.0006380271488389472 | 0.001739570315040539 | float |
INFO - 10:04:27: | x_lag | 0 | 35266.79986347721 | 37043.63193300553 | float |
INFO - 10:04:27: | logistic_nu | 0.1 | 6.787332013229979 | 10 | float |
INFO - 10:04:27: | asymptote_coeff | 0.1 | 1.867656520116681 | 10 | float |
INFO - 10:04:27: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:27: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:27: 1%| | 2/250 [00:00<00:00, 358.79 it/sec, feas=True, obj=1]
INFO - 10:04:27: 1%| | 3/250 [00:00<00:00, 366.36 it/sec, feas=True, obj=0.865]
INFO - 10:04:27: 2%|▏ | 4/250 [00:00<00:00, 362.56 it/sec, feas=True, obj=0.449]
INFO - 10:04:27: 2%|▏ | 5/250 [00:00<00:00, 311.56 it/sec, feas=True, obj=0.503]
INFO - 10:04:27: 2%|▏ | 6/250 [00:00<00:00, 319.14 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: 3%|▎ | 7/250 [00:00<00:00, 316.21 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: 3%|▎ | 8/250 [00:00<00:00, 300.55 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: 4%|▎ | 9/250 [00:00<00:00, 306.43 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: 4%|▍ | 10/250 [00:00<00:00, 311.33 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: 4%|▍ | 11/250 [00:00<00:00, 313.36 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: 5%|▍ | 12/250 [00:00<00:00, 300.84 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: 5%|▌ | 13/250 [00:00<00:00, 301.95 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: 6%|▌ | 14/250 [00:00<00:00, 305.67 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: 6%|▌ | 15/250 [00:00<00:00, 309.24 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: 6%|▋ | 16/250 [00:00<00:00, 312.10 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: 7%|▋ | 17/250 [00:00<00:00, 314.69 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: 7%|▋ | 18/250 [00:00<00:00, 317.35 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: 8%|▊ | 19/250 [00:00<00:00, 319.58 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: Optimization result:
INFO - 10:04:27: Optimizer info:
INFO - 10:04:27: Status: None
INFO - 10:04:27: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:27: Solution:
INFO - 10:04:27: Objective: 0.42625188109882406
INFO - 10:04:27: Design space:
INFO - 10:04:27: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:27: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:27: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:27: | left_asymptote | 0 | 0.007363900829472524 | 0.01318893484301132 | float |
INFO - 10:04:27: | capacity | 0.003138431245171017 | 0.004242319999947147 | 0.1318893484301132 | float |
INFO - 10:04:27: | growth_rate | 0.0001932855905600599 | 0.001700698436510139 | 0.001739570315040539 | float |
INFO - 10:04:27: | x_lag | 0 | 37043.63193300553 | 37043.63193300553 | float |
INFO - 10:04:27: | logistic_nu | 0.1 | 0.1413016907457281 | 10 | float |
INFO - 10:04:27: | asymptote_coeff | 0.1 | 9.667406653708953 | 10 | float |
INFO - 10:04:27: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:27: Optimization problem:
INFO - 10:04:27: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:27: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:27: over the design space:
INFO - 10:04:27: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:27: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:27: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:27: | left_asymptote | 0 | 0.008514580967299935 | 0.01318893484301132 | float |
INFO - 10:04:27: | capacity | 0.003138431245171017 | 0.09273557951063341 | 0.1318893484301132 | float |
INFO - 10:04:27: | growth_rate | 0.0001932855905600599 | 0.001693835665645478 | 0.001739570315040539 | float |
INFO - 10:04:27: | x_lag | 0 | 9058.913452488096 | 37043.63193300553 | float |
INFO - 10:04:27: | logistic_nu | 0.1 | 6.425630516779915 | 10 | float |
INFO - 10:04:27: | asymptote_coeff | 0.1 | 1.548411432916598 | 10 | float |
INFO - 10:04:27: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:27: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:27: 1%| | 2/250 [00:00<00:00, 364.74 it/sec, feas=True, obj=0.493]
INFO - 10:04:27: 1%| | 3/250 [00:00<00:00, 347.74 it/sec, feas=True, obj=0.45]
INFO - 10:04:27: 2%|▏ | 4/250 [00:00<00:00, 345.18 it/sec, feas=True, obj=0.428]
INFO - 10:04:27: 2%|▏ | 5/250 [00:00<00:00, 343.32 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: 2%|▏ | 6/250 [00:00<00:00, 322.19 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: 3%|▎ | 7/250 [00:00<00:00, 325.19 it/sec, feas=True, obj=0.426]
INFO - 10:04:27: Optimization result:
INFO - 10:04:27: Optimizer info:
INFO - 10:04:27: Status: 0
INFO - 10:04:27: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:27: Solution:
INFO - 10:04:27: Objective: 0.4262518800451329
INFO - 10:04:27: Design space:
INFO - 10:04:27: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:27: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:27: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:27: | left_asymptote | 0 | 0.007364080590724268 | 0.01318893484301132 | float |
INFO - 10:04:27: | capacity | 0.003138431245171017 | 0.003570017270491528 | 0.1318893484301132 | float |
INFO - 10:04:27: | growth_rate | 0.0001932855905600599 | 0.001739570315040539 | 0.001739570315040539 | float |
INFO - 10:04:27: | x_lag | 0 | 37043.63193300553 | 37043.63193300553 | float |
INFO - 10:04:27: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:27: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:27: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:27: Optimization problem:
INFO - 10:04:27: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:27: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:27: over the design space:
INFO - 10:04:27: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:27: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:27: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:27: | left_asymptote | 0 | 0.002525491324541787 | 0.01318893484301132 | float |
INFO - 10:04:27: | capacity | 0.003138431245171017 | 0.01214356653212247 | 0.1318893484301132 | float |
INFO - 10:04:27: | growth_rate | 0.0001932855905600599 | 0.001553826239810213 | 0.001739570315040539 | float |
INFO - 10:04:27: | x_lag | 0 | 4143.97259387559 | 37043.63193300553 | float |
INFO - 10:04:27: | logistic_nu | 0.1 | 7.841656902223648 | 10 | float |
INFO - 10:04:27: | asymptote_coeff | 0.1 | 5.549818106841609 | 10 | float |
INFO - 10:04:27: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:27: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:27: 1%| | 2/250 [00:00<00:00, 370.08 it/sec, feas=True, obj=0.847]
INFO - 10:04:27: 1%| | 3/250 [00:00<00:00, 375.12 it/sec, feas=True, obj=0.332]
INFO - 10:04:27: 2%|▏ | 4/250 [00:00<00:00, 367.79 it/sec, feas=True, obj=0.352]
INFO - 10:04:27: 2%|▏ | 5/250 [00:00<00:00, 363.55 it/sec, feas=True, obj=0.319]
INFO - 10:04:27: 2%|▏ | 6/250 [00:00<00:00, 357.47 it/sec, feas=True, obj=0.295]
INFO - 10:04:27: 3%|▎ | 7/250 [00:00<00:00, 355.92 it/sec, feas=True, obj=0.248]
INFO - 10:04:27: 3%|▎ | 8/250 [00:00<00:00, 355.00 it/sec, feas=True, obj=0.245]
INFO - 10:04:27: 4%|▎ | 9/250 [00:00<00:00, 354.15 it/sec, feas=True, obj=0.245]
INFO - 10:04:27: 4%|▍ | 10/250 [00:00<00:00, 329.37 it/sec, feas=True, obj=0.243]
INFO - 10:04:27: 4%|▍ | 11/250 [00:00<00:00, 330.75 it/sec, feas=True, obj=0.237]
INFO - 10:04:27: 5%|▍ | 12/250 [00:00<00:00, 331.47 it/sec, feas=True, obj=0.217]
INFO - 10:04:27: 5%|▌ | 13/250 [00:00<00:00, 332.94 it/sec, feas=True, obj=0.836]
INFO - 10:04:27: 6%|▌ | 14/250 [00:00<00:00, 333.59 it/sec, feas=True, obj=0.209]
INFO - 10:04:27: 6%|▌ | 15/250 [00:00<00:00, 333.38 it/sec, feas=True, obj=0.194]
INFO - 10:04:27: 6%|▋ | 16/250 [00:00<00:00, 334.13 it/sec, feas=True, obj=0.15]
INFO - 10:04:27: 7%|▋ | 17/250 [00:00<00:00, 335.04 it/sec, feas=True, obj=0.165]
INFO - 10:04:27: 7%|▋ | 18/250 [00:00<00:00, 333.16 it/sec, feas=True, obj=0.124]
INFO - 10:04:27: 8%|▊ | 19/250 [00:00<00:00, 333.73 it/sec, feas=True, obj=0.121]
INFO - 10:04:27: 8%|▊ | 20/250 [00:00<00:00, 334.91 it/sec, feas=True, obj=0.119]
INFO - 10:04:27: 8%|▊ | 21/250 [00:00<00:00, 335.29 it/sec, feas=True, obj=0.118]
INFO - 10:04:27: 9%|▉ | 22/250 [00:00<00:00, 335.75 it/sec, feas=True, obj=0.118]
INFO - 10:04:27: 9%|▉ | 23/250 [00:00<00:00, 335.96 it/sec, feas=True, obj=0.118]
INFO - 10:04:27: 10%|▉ | 24/250 [00:00<00:00, 336.20 it/sec, feas=True, obj=0.118]
INFO - 10:04:27: 10%|█ | 25/250 [00:00<00:00, 337.23 it/sec, feas=True, obj=0.118]
INFO - 10:04:27: 10%|█ | 26/250 [00:00<00:00, 338.05 it/sec, feas=True, obj=0.117]
INFO - 10:04:27: 11%|█ | 27/250 [00:00<00:00, 338.57 it/sec, feas=True, obj=0.115]
INFO - 10:04:27: 11%|█ | 28/250 [00:00<00:00, 339.32 it/sec, feas=True, obj=0.113]
INFO - 10:04:27: 12%|█▏ | 29/250 [00:00<00:00, 339.03 it/sec, feas=True, obj=0.111]
INFO - 10:04:27: 12%|█▏ | 30/250 [00:00<00:00, 332.00 it/sec, feas=True, obj=0.11]
INFO - 10:04:27: 12%|█▏ | 31/250 [00:00<00:00, 332.87 it/sec, feas=True, obj=0.11]
INFO - 10:04:27: 13%|█▎ | 32/250 [00:00<00:00, 333.13 it/sec, feas=True, obj=0.11]
INFO - 10:04:27: 13%|█▎ | 33/250 [00:00<00:00, 333.44 it/sec, feas=True, obj=0.11]
INFO - 10:04:27: 14%|█▎ | 34/250 [00:00<00:00, 333.75 it/sec, feas=True, obj=0.109]
INFO - 10:04:27: 14%|█▍ | 35/250 [00:00<00:00, 333.92 it/sec, feas=True, obj=0.109]
INFO - 10:04:27: 14%|█▍ | 36/250 [00:00<00:00, 334.12 it/sec, feas=True, obj=0.109]
INFO - 10:04:27: 15%|█▍ | 37/250 [00:00<00:00, 334.69 it/sec, feas=True, obj=0.312]
INFO - 10:04:27: 15%|█▌ | 38/250 [00:00<00:00, 333.90 it/sec, feas=True, obj=0.109]
INFO - 10:04:27: 16%|█▌ | 39/250 [00:00<00:00, 334.42 it/sec, feas=True, obj=0.429]
INFO - 10:04:27: 16%|█▌ | 40/250 [00:00<00:00, 335.01 it/sec, feas=True, obj=0.108]
INFO - 10:04:27: 16%|█▋ | 41/250 [00:00<00:00, 335.84 it/sec, feas=True, obj=0.108]
INFO - 10:04:27: 17%|█▋ | 42/250 [00:00<00:00, 336.05 it/sec, feas=True, obj=0.108]
INFO - 10:04:27: 17%|█▋ | 43/250 [00:00<00:00, 335.98 it/sec, feas=True, obj=0.108]
INFO - 10:04:27: 18%|█▊ | 44/250 [00:00<00:00, 336.33 it/sec, feas=True, obj=0.142]
INFO - 10:04:27: 18%|█▊ | 45/250 [00:00<00:00, 336.51 it/sec, feas=True, obj=0.107]
INFO - 10:04:27: 18%|█▊ | 46/250 [00:00<00:00, 336.70 it/sec, feas=True, obj=0.198]
INFO - 10:04:27: 19%|█▉ | 47/250 [00:00<00:00, 337.17 it/sec, feas=True, obj=0.107]
INFO - 10:04:27: 19%|█▉ | 48/250 [00:00<00:00, 337.64 it/sec, feas=True, obj=0.108]
INFO - 10:04:27: 20%|█▉ | 49/250 [00:00<00:00, 337.58 it/sec, feas=True, obj=0.107]
INFO - 10:04:27: 20%|██ | 50/250 [00:00<00:00, 338.04 it/sec, feas=True, obj=0.106]
INFO - 10:04:27: 20%|██ | 51/250 [00:00<00:00, 338.09 it/sec, feas=True, obj=0.106]
INFO - 10:04:27: 21%|██ | 52/250 [00:00<00:00, 338.15 it/sec, feas=True, obj=0.107]
INFO - 10:04:27: 21%|██ | 53/250 [00:00<00:00, 338.17 it/sec, feas=True, obj=0.106]
INFO - 10:04:27: 22%|██▏ | 54/250 [00:00<00:00, 338.31 it/sec, feas=True, obj=0.105]
INFO - 10:04:27: 22%|██▏ | 55/250 [00:00<00:00, 338.75 it/sec, feas=True, obj=0.107]
INFO - 10:04:27: 22%|██▏ | 56/250 [00:00<00:00, 339.16 it/sec, feas=True, obj=0.105]
INFO - 10:04:27: 23%|██▎ | 57/250 [00:00<00:00, 339.31 it/sec, feas=True, obj=0.123]
INFO - 10:04:27: 23%|██▎ | 58/250 [00:00<00:00, 339.38 it/sec, feas=True, obj=0.105]
INFO - 10:04:27: 24%|██▎ | 59/250 [00:00<00:00, 339.44 it/sec, feas=True, obj=0.104]
INFO - 10:04:27: 24%|██▍ | 60/250 [00:00<00:00, 339.51 it/sec, feas=True, obj=0.116]
INFO - 10:04:27: 24%|██▍ | 61/250 [00:00<00:00, 339.82 it/sec, feas=True, obj=0.104]
INFO - 10:04:27: 25%|██▍ | 62/250 [00:00<00:00, 340.12 it/sec, feas=True, obj=0.104]
INFO - 10:04:27: 25%|██▌ | 63/250 [00:00<00:00, 336.35 it/sec, feas=True, obj=0.106]
INFO - 10:04:27: 26%|██▌ | 64/250 [00:00<00:00, 336.73 it/sec, feas=True, obj=0.104]
INFO - 10:04:27: 26%|██▌ | 65/250 [00:00<00:00, 337.14 it/sec, feas=True, obj=0.105]
INFO - 10:04:27: 26%|██▋ | 66/250 [00:00<00:00, 337.45 it/sec, feas=True, obj=0.104]
INFO - 10:04:27: 27%|██▋ | 67/250 [00:00<00:00, 337.78 it/sec, feas=True, obj=0.104]
INFO - 10:04:27: 27%|██▋ | 68/250 [00:00<00:00, 338.26 it/sec, feas=True, obj=0.105]
INFO - 10:04:27: 28%|██▊ | 69/250 [00:00<00:00, 338.58 it/sec, feas=True, obj=0.104]
INFO - 10:04:27: 28%|██▊ | 70/250 [00:00<00:00, 338.87 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 28%|██▊ | 71/250 [00:00<00:00, 339.16 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 29%|██▉ | 72/250 [00:00<00:00, 339.49 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 29%|██▉ | 73/250 [00:00<00:00, 339.71 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 30%|██▉ | 74/250 [00:00<00:00, 340.01 it/sec, feas=True, obj=0.13]
INFO - 10:04:27: 30%|███ | 75/250 [00:00<00:00, 340.30 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 30%|███ | 76/250 [00:00<00:00, 340.61 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 31%|███ | 77/250 [00:00<00:00, 340.84 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 31%|███ | 78/250 [00:00<00:00, 341.12 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 32%|███▏ | 79/250 [00:00<00:00, 341.39 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 32%|███▏ | 80/250 [00:00<00:00, 341.68 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 32%|███▏ | 81/250 [00:00<00:00, 341.96 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 33%|███▎ | 82/250 [00:00<00:00, 342.18 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 33%|███▎ | 83/250 [00:00<00:00, 339.68 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 34%|███▎ | 84/250 [00:00<00:00, 339.71 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 34%|███▍ | 85/250 [00:00<00:00, 339.94 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 34%|███▍ | 86/250 [00:00<00:00, 340.13 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 35%|███▍ | 87/250 [00:00<00:00, 340.28 it/sec, feas=True, obj=0.102]
INFO - 10:04:27: 35%|███▌ | 88/250 [00:00<00:00, 340.54 it/sec, feas=True, obj=0.102]
INFO - 10:04:27: 36%|███▌ | 89/250 [00:00<00:00, 340.79 it/sec, feas=True, obj=0.102]
INFO - 10:04:27: 36%|███▌ | 90/250 [00:00<00:00, 341.04 it/sec, feas=True, obj=0.105]
INFO - 10:04:27: 36%|███▋ | 91/250 [00:00<00:00, 341.20 it/sec, feas=True, obj=0.102]
INFO - 10:04:27: 37%|███▋ | 92/250 [00:00<00:00, 341.39 it/sec, feas=True, obj=0.102]
INFO - 10:04:27: 37%|███▋ | 93/250 [00:00<00:00, 341.58 it/sec, feas=True, obj=0.102]
INFO - 10:04:27: 38%|███▊ | 94/250 [00:00<00:00, 341.77 it/sec, feas=True, obj=0.102]
INFO - 10:04:27: 38%|███▊ | 95/250 [00:00<00:00, 341.95 it/sec, feas=True, obj=0.102]
INFO - 10:04:27: 38%|███▊ | 96/250 [00:00<00:00, 342.11 it/sec, feas=True, obj=0.102]
INFO - 10:04:27: 39%|███▉ | 97/250 [00:00<00:00, 342.30 it/sec, feas=True, obj=0.102]
INFO - 10:04:27: 39%|███▉ | 98/250 [00:00<00:00, 342.49 it/sec, feas=True, obj=0.102]
INFO - 10:04:27: 40%|███▉ | 99/250 [00:00<00:00, 342.65 it/sec, feas=True, obj=0.102]
INFO - 10:04:27: 40%|████ | 100/250 [00:00<00:00, 342.85 it/sec, feas=True, obj=0.191]
INFO - 10:04:27: 40%|████ | 101/250 [00:00<00:00, 343.08 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 41%|████ | 102/250 [00:00<00:00, 343.27 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 41%|████ | 103/250 [00:00<00:00, 343.42 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 42%|████▏ | 104/250 [00:00<00:00, 342.80 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 42%|████▏ | 105/250 [00:00<00:00, 342.84 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 42%|████▏ | 106/250 [00:00<00:00, 342.93 it/sec, feas=True, obj=0.102]
INFO - 10:04:27: 43%|████▎ | 107/250 [00:00<00:00, 343.08 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 43%|████▎ | 108/250 [00:00<00:00, 343.20 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 44%|████▎ | 109/250 [00:00<00:00, 343.40 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 44%|████▍ | 110/250 [00:00<00:00, 341.25 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 44%|████▍ | 111/250 [00:00<00:00, 341.33 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 45%|████▍ | 112/250 [00:00<00:00, 341.34 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 45%|████▌ | 113/250 [00:00<00:00, 341.44 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 46%|████▌ | 114/250 [00:00<00:00, 341.49 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 46%|████▌ | 115/250 [00:00<00:00, 341.54 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 46%|████▋ | 116/250 [00:00<00:00, 341.47 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 47%|████▋ | 117/250 [00:00<00:00, 341.59 it/sec, feas=True, obj=0.103]
INFO - 10:04:27: 47%|████▋ | 118/250 [00:00<00:00, 341.67 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 48%|████▊ | 119/250 [00:00<00:00, 341.69 it/sec, feas=True, obj=0.118]
INFO - 10:04:27: 48%|████▊ | 120/250 [00:00<00:00, 341.73 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 48%|████▊ | 121/250 [00:00<00:00, 341.83 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 49%|████▉ | 122/250 [00:00<00:00, 341.90 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 49%|████▉ | 123/250 [00:00<00:00, 341.76 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 50%|████▉ | 124/250 [00:00<00:00, 341.72 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 50%|█████ | 125/250 [00:00<00:00, 341.78 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 50%|█████ | 126/250 [00:00<00:00, 341.85 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 51%|█████ | 127/250 [00:00<00:00, 341.98 it/sec, feas=True, obj=0.553]
INFO - 10:04:27: 51%|█████ | 128/250 [00:00<00:00, 341.99 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 52%|█████▏ | 129/250 [00:00<00:00, 342.13 it/sec, feas=True, obj=0.213]
INFO - 10:04:27: 52%|█████▏ | 130/250 [00:00<00:00, 342.12 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 52%|█████▏ | 131/250 [00:00<00:00, 342.24 it/sec, feas=True, obj=0.101]
INFO - 10:04:27: 53%|█████▎ | 132/250 [00:00<00:00, 342.24 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 53%|█████▎ | 133/250 [00:00<00:00, 342.32 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 54%|█████▎ | 134/250 [00:00<00:00, 342.37 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 54%|█████▍ | 135/250 [00:00<00:00, 340.62 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 54%|█████▍ | 136/250 [00:00<00:00, 340.56 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 55%|█████▍ | 137/250 [00:00<00:00, 340.59 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 55%|█████▌ | 138/250 [00:00<00:00, 340.62 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 56%|█████▌ | 139/250 [00:00<00:00, 340.73 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 56%|█████▌ | 140/250 [00:00<00:00, 340.84 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 56%|█████▋ | 141/250 [00:00<00:00, 340.88 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 57%|█████▋ | 142/250 [00:00<00:00, 340.97 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 57%|█████▋ | 143/250 [00:00<00:00, 341.13 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 58%|█████▊ | 144/250 [00:00<00:00, 341.12 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 58%|█████▊ | 145/250 [00:00<00:00, 341.19 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 58%|█████▊ | 146/250 [00:00<00:00, 341.21 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 59%|█████▉ | 147/250 [00:00<00:00, 341.22 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 59%|█████▉ | 148/250 [00:00<00:00, 341.21 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 60%|█████▉ | 149/250 [00:00<00:00, 341.19 it/sec, feas=True, obj=0.0999]
INFO - 10:04:27: 60%|██████ | 150/250 [00:00<00:00, 341.18 it/sec, feas=True, obj=0.0999]
INFO - 10:04:27: 60%|██████ | 151/250 [00:00<00:00, 341.27 it/sec, feas=True, obj=0.0998]
INFO - 10:04:27: 61%|██████ | 152/250 [00:00<00:00, 341.43 it/sec, feas=True, obj=0.1]
INFO - 10:04:27: 61%|██████ | 153/250 [00:00<00:00, 341.43 it/sec, feas=True, obj=0.0998]
INFO - 10:04:27: 62%|██████▏ | 154/250 [00:00<00:00, 341.41 it/sec, feas=True, obj=0.0998]
INFO - 10:04:27: 62%|██████▏ | 155/250 [00:00<00:00, 341.41 it/sec, feas=True, obj=0.0998]
INFO - 10:04:27: 62%|██████▏ | 156/250 [00:00<00:00, 341.39 it/sec, feas=True, obj=0.0997]
INFO - 10:04:27: 63%|██████▎ | 157/250 [00:00<00:00, 341.43 it/sec, feas=True, obj=0.0997]
INFO - 10:04:27: 63%|██████▎ | 158/250 [00:00<00:00, 341.43 it/sec, feas=True, obj=0.0997]
INFO - 10:04:27: 64%|██████▎ | 159/250 [00:00<00:00, 341.42 it/sec, feas=True, obj=0.0997]
INFO - 10:04:27: 64%|██████▍ | 160/250 [00:00<00:00, 341.42 it/sec, feas=True, obj=0.0996]
INFO - 10:04:27: 64%|██████▍ | 161/250 [00:00<00:00, 340.86 it/sec, feas=True, obj=0.0996]
INFO - 10:04:27: 65%|██████▍ | 162/250 [00:00<00:00, 340.88 it/sec, feas=True, obj=0.0996]
INFO - 10:04:27: 65%|██████▌ | 163/250 [00:00<00:00, 340.90 it/sec, feas=True, obj=0.0996]
INFO - 10:04:27: 66%|██████▌ | 164/250 [00:00<00:00, 340.83 it/sec, feas=True, obj=0.0995]
INFO - 10:04:27: 66%|██████▌ | 165/250 [00:00<00:00, 340.85 it/sec, feas=True, obj=0.0995]
INFO - 10:04:27: 66%|██████▋ | 166/250 [00:00<00:00, 340.97 it/sec, feas=True, obj=0.102]
INFO - 10:04:27: 67%|██████▋ | 167/250 [00:00<00:00, 340.54 it/sec, feas=True, obj=0.0994]
INFO - 10:04:27: 67%|██████▋ | 168/250 [00:00<00:00, 340.64 it/sec, feas=True, obj=0.179]
INFO - 10:04:27: 68%|██████▊ | 169/250 [00:00<00:00, 340.69 it/sec, feas=True, obj=0.0994]
INFO - 10:04:27: 68%|██████▊ | 170/250 [00:00<00:00, 340.70 it/sec, feas=True, obj=0.0994]
INFO - 10:04:27: 68%|██████▊ | 171/250 [00:00<00:00, 340.76 it/sec, feas=True, obj=0.0994]
INFO - 10:04:27: 69%|██████▉ | 172/250 [00:00<00:00, 340.78 it/sec, feas=True, obj=0.0994]
INFO - 10:04:27: 69%|██████▉ | 173/250 [00:00<00:00, 340.86 it/sec, feas=True, obj=0.0994]
INFO - 10:04:27: 70%|██████▉ | 174/250 [00:00<00:00, 340.92 it/sec, feas=True, obj=0.0994]
INFO - 10:04:27: 70%|███████ | 175/250 [00:00<00:00, 341.01 it/sec, feas=True, obj=0.0993]
INFO - 10:04:27: 70%|███████ | 176/250 [00:00<00:00, 341.07 it/sec, feas=True, obj=0.0993]
INFO - 10:04:27: 71%|███████ | 177/250 [00:00<00:00, 341.14 it/sec, feas=True, obj=0.0993]
INFO - 10:04:27: 71%|███████ | 178/250 [00:00<00:00, 341.10 it/sec, feas=True, obj=0.0993]
INFO - 10:04:27: 72%|███████▏ | 179/250 [00:00<00:00, 341.17 it/sec, feas=True, obj=0.0993]
INFO - 10:04:27: 72%|███████▏ | 180/250 [00:00<00:00, 341.29 it/sec, feas=True, obj=0.0993]
INFO - 10:04:27: 72%|███████▏ | 181/250 [00:00<00:00, 341.39 it/sec, feas=True, obj=0.0993]
INFO - 10:04:27: 73%|███████▎ | 182/250 [00:00<00:00, 341.51 it/sec, feas=True, obj=0.0994]
INFO - 10:04:27: 73%|███████▎ | 183/250 [00:00<00:00, 341.57 it/sec, feas=True, obj=0.0992]
INFO - 10:04:27: 74%|███████▎ | 184/250 [00:00<00:00, 341.63 it/sec, feas=True, obj=0.0992]
INFO - 10:04:27: 74%|███████▍ | 185/250 [00:00<00:00, 341.75 it/sec, feas=True, obj=0.0993]
INFO - 10:04:27: 74%|███████▍ | 186/250 [00:00<00:00, 341.84 it/sec, feas=True, obj=0.0992]
INFO - 10:04:27: 75%|███████▍ | 187/250 [00:00<00:00, 341.92 it/sec, feas=True, obj=0.0993]
INFO - 10:04:27: 75%|███████▌ | 188/250 [00:00<00:00, 341.98 it/sec, feas=True, obj=0.0992]
INFO - 10:04:27: 76%|███████▌ | 189/250 [00:00<00:00, 342.05 it/sec, feas=True, obj=0.0992]
INFO - 10:04:27: 76%|███████▌ | 190/250 [00:00<00:00, 342.11 it/sec, feas=True, obj=0.0992]
INFO - 10:04:27: 76%|███████▋ | 191/250 [00:00<00:00, 342.24 it/sec, feas=True, obj=0.0992]
INFO - 10:04:27: 77%|███████▋ | 192/250 [00:00<00:00, 342.32 it/sec, feas=True, obj=0.0992]
INFO - 10:04:27: 77%|███████▋ | 193/250 [00:00<00:00, 342.38 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 78%|███████▊ | 194/250 [00:00<00:00, 342.44 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 78%|███████▊ | 195/250 [00:00<00:00, 342.51 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 78%|███████▊ | 196/250 [00:00<00:00, 342.61 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 79%|███████▉ | 197/250 [00:00<00:00, 342.65 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 79%|███████▉ | 198/250 [00:00<00:00, 342.68 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 80%|███████▉ | 199/250 [00:00<00:00, 342.71 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 80%|████████ | 200/250 [00:00<00:00, 342.75 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 80%|████████ | 201/250 [00:00<00:00, 342.67 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 81%|████████ | 202/250 [00:00<00:00, 342.72 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 81%|████████ | 203/250 [00:00<00:00, 342.76 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 82%|████████▏ | 204/250 [00:00<00:00, 342.69 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 82%|████████▏ | 205/250 [00:00<00:00, 342.74 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 82%|████████▏ | 206/250 [00:00<00:00, 342.77 it/sec, feas=True, obj=0.0991]
INFO - 10:04:27: 83%|████████▎ | 207/250 [00:00<00:00, 342.80 it/sec, feas=True, obj=0.0991]
INFO - 10:04:28: 83%|████████▎ | 208/250 [00:00<00:00, 342.76 it/sec, feas=True, obj=0.0991]
INFO - 10:04:28: Optimization result:
INFO - 10:04:28: Optimizer info:
INFO - 10:04:28: Status: None
INFO - 10:04:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:28: Solution:
INFO - 10:04:28: Objective: 0.09908276192574923
INFO - 10:04:28: Design space:
INFO - 10:04:28: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:28: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:28: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:28: | left_asymptote | 0 | 0.003381869769096195 | 0.01318893484301132 | float |
INFO - 10:04:28: | capacity | 0.003138431245171017 | 0.09434282259150574 | 0.1318893484301132 | float |
INFO - 10:04:28: | growth_rate | 0.0001932855905600599 | 0.0001932855905600599 | 0.001739570315040539 | float |
INFO - 10:04:28: | x_lag | 0 | 17100.25333139862 | 37043.63193300553 | float |
INFO - 10:04:28: | logistic_nu | 0.1 | 0.3969449133282889 | 10 | float |
INFO - 10:04:28: | asymptote_coeff | 0.1 | 2.533443688977045 | 10 | float |
INFO - 10:04:28: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:28: Optimization problem:
INFO - 10:04:28: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:28: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:28: over the design space:
INFO - 10:04:28: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:28: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:28: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:28: | left_asymptote | 0 | 0.0005429995153777059 | 0.01318893484301132 | float |
INFO - 10:04:28: | capacity | 0.003138431245171017 | 0.03517001249153705 | 0.1318893484301132 | float |
INFO - 10:04:28: | growth_rate | 0.0001932855905600599 | 0.001094629973873681 | 0.001739570315040539 | float |
INFO - 10:04:28: | x_lag | 0 | 23035.71661988339 | 37043.63193300553 | float |
INFO - 10:04:28: | logistic_nu | 0.1 | 5.62268233127262 | 10 | float |
INFO - 10:04:28: | asymptote_coeff | 0.1 | 8.355177201624285 | 10 | float |
INFO - 10:04:28: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:28: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:28: 1%| | 2/250 [00:00<00:00, 364.04 it/sec, feas=True, obj=1]
INFO - 10:04:28: 1%| | 3/250 [00:00<00:00, 380.01 it/sec, feas=True, obj=0.506]
INFO - 10:04:28: 2%|▏ | 4/250 [00:00<00:00, 374.42 it/sec, feas=True, obj=0.428]
INFO - 10:04:28: 2%|▏ | 5/250 [00:00<00:00, 369.33 it/sec, feas=True, obj=0.368]
INFO - 10:04:28: 2%|▏ | 6/250 [00:00<00:00, 363.02 it/sec, feas=True, obj=0.31]
INFO - 10:04:28: 3%|▎ | 7/250 [00:00<00:00, 362.65 it/sec, feas=True, obj=0.626]
INFO - 10:04:28: 3%|▎ | 8/250 [00:00<00:00, 359.55 it/sec, feas=True, obj=0.202]
INFO - 10:04:28: 4%|▎ | 9/250 [00:00<00:00, 355.39 it/sec, feas=True, obj=0.45]
INFO - 10:04:28: 4%|▍ | 10/250 [00:00<00:00, 354.74 it/sec, feas=True, obj=0.158]
INFO - 10:04:28: 4%|▍ | 11/250 [00:00<00:00, 353.56 it/sec, feas=True, obj=0.137]
INFO - 10:04:28: 5%|▍ | 12/250 [00:00<00:00, 353.01 it/sec, feas=True, obj=0.133]
INFO - 10:04:28: 5%|▌ | 13/250 [00:00<00:00, 351.46 it/sec, feas=True, obj=0.118]
INFO - 10:04:28: 6%|▌ | 14/250 [00:00<00:00, 351.66 it/sec, feas=True, obj=0.115]
INFO - 10:04:28: 6%|▌ | 15/250 [00:00<00:00, 352.02 it/sec, feas=True, obj=0.115]
INFO - 10:04:28: 6%|▋ | 16/250 [00:00<00:00, 349.66 it/sec, feas=True, obj=0.114]
INFO - 10:04:28: 7%|▋ | 17/250 [00:00<00:00, 348.57 it/sec, feas=True, obj=0.113]
INFO - 10:04:28: 7%|▋ | 18/250 [00:00<00:00, 348.96 it/sec, feas=True, obj=0.112]
INFO - 10:04:28: 8%|▊ | 19/250 [00:00<00:00, 347.18 it/sec, feas=True, obj=0.11]
INFO - 10:04:28: 8%|▊ | 20/250 [00:00<00:00, 346.34 it/sec, feas=True, obj=0.109]
INFO - 10:04:28: 8%|▊ | 21/250 [00:00<00:00, 346.63 it/sec, feas=True, obj=0.108]
INFO - 10:04:28: 9%|▉ | 22/250 [00:00<00:00, 345.05 it/sec, feas=True, obj=0.107]
INFO - 10:04:28: 9%|▉ | 23/250 [00:00<00:00, 344.29 it/sec, feas=True, obj=0.107]
INFO - 10:04:28: 10%|▉ | 24/250 [00:00<00:00, 344.87 it/sec, feas=True, obj=0.108]
INFO - 10:04:28: 10%|█ | 25/250 [00:00<00:00, 345.33 it/sec, feas=True, obj=0.107]
INFO - 10:04:28: 10%|█ | 26/250 [00:00<00:00, 344.84 it/sec, feas=True, obj=0.107]
INFO - 10:04:28: 11%|█ | 27/250 [00:00<00:00, 345.10 it/sec, feas=True, obj=0.107]
INFO - 10:04:28: 11%|█ | 28/250 [00:00<00:00, 345.59 it/sec, feas=True, obj=0.107]
INFO - 10:04:28: 12%|█▏ | 29/250 [00:00<00:00, 345.82 it/sec, feas=True, obj=0.106]
INFO - 10:04:28: 12%|█▏ | 30/250 [00:00<00:00, 346.06 it/sec, feas=True, obj=0.106]
INFO - 10:04:28: 12%|█▏ | 31/250 [00:00<00:00, 346.06 it/sec, feas=True, obj=0.106]
INFO - 10:04:28: 13%|█▎ | 32/250 [00:00<00:00, 345.78 it/sec, feas=True, obj=0.106]
INFO - 10:04:28: 13%|█▎ | 33/250 [00:00<00:00, 346.12 it/sec, feas=True, obj=0.106]
INFO - 10:04:28: 14%|█▎ | 34/250 [00:00<00:00, 346.34 it/sec, feas=True, obj=0.106]
INFO - 10:04:28: 14%|█▍ | 35/250 [00:00<00:00, 346.60 it/sec, feas=True, obj=0.106]
INFO - 10:04:28: 14%|█▍ | 36/250 [00:00<00:00, 346.79 it/sec, feas=True, obj=0.106]
INFO - 10:04:28: 15%|█▍ | 37/250 [00:00<00:00, 347.05 it/sec, feas=True, obj=0.106]
INFO - 10:04:28: 15%|█▌ | 38/250 [00:00<00:00, 347.13 it/sec, feas=True, obj=0.106]
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INFO - 10:04:28: 36%|███▌ | 89/250 [00:00<00:00, 347.62 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 36%|███▌ | 90/250 [00:00<00:00, 347.74 it/sec, feas=True, obj=0.105]
INFO - 10:04:28: 36%|███▋ | 91/250 [00:00<00:00, 347.63 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 37%|███▋ | 92/250 [00:00<00:00, 347.51 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 37%|███▋ | 93/250 [00:00<00:00, 347.27 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 38%|███▊ | 94/250 [00:00<00:00, 347.25 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 38%|███▊ | 95/250 [00:00<00:00, 347.38 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 38%|███▊ | 96/250 [00:00<00:00, 347.27 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 39%|███▉ | 97/250 [00:00<00:00, 347.02 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 39%|███▉ | 98/250 [00:00<00:00, 347.10 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 40%|███▉ | 99/250 [00:00<00:00, 347.13 it/sec, feas=True, obj=0.103]
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INFO - 10:04:28: 41%|████ | 103/250 [00:00<00:00, 347.09 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 42%|████▏ | 104/250 [00:00<00:00, 346.92 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 42%|████▏ | 105/250 [00:00<00:00, 346.72 it/sec, feas=True, obj=0.103]
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INFO - 10:04:28: 43%|████▎ | 108/250 [00:00<00:00, 346.75 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 44%|████▎ | 109/250 [00:00<00:00, 346.85 it/sec, feas=True, obj=0.103]
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INFO - 10:04:28: 44%|████▍ | 111/250 [00:00<00:00, 346.95 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 45%|████▍ | 112/250 [00:00<00:00, 346.95 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 45%|████▌ | 113/250 [00:00<00:00, 347.08 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 46%|████▌ | 114/250 [00:00<00:00, 346.95 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 46%|████▌ | 115/250 [00:00<00:00, 346.99 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 46%|████▋ | 116/250 [00:00<00:00, 347.08 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 47%|████▋ | 117/250 [00:00<00:00, 347.17 it/sec, feas=True, obj=0.113]
INFO - 10:04:28: 47%|████▋ | 118/250 [00:00<00:00, 347.09 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 48%|████▊ | 119/250 [00:00<00:00, 347.14 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 48%|████▊ | 120/250 [00:00<00:00, 346.99 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 48%|████▊ | 121/250 [00:00<00:00, 346.83 it/sec, feas=True, obj=0.101]
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INFO - 10:04:28: 49%|████▉ | 123/250 [00:00<00:00, 346.62 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 50%|████▉ | 124/250 [00:00<00:00, 346.52 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 50%|█████ | 125/250 [00:00<00:00, 346.43 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 50%|█████ | 126/250 [00:00<00:00, 346.48 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 51%|█████ | 127/250 [00:00<00:00, 346.13 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 51%|█████ | 128/250 [00:00<00:00, 346.17 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 52%|█████▏ | 129/250 [00:00<00:00, 346.21 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 52%|█████▏ | 130/250 [00:00<00:00, 345.84 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 52%|█████▏ | 131/250 [00:00<00:00, 345.90 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 53%|█████▎ | 132/250 [00:00<00:00, 345.86 it/sec, feas=True, obj=0.101]
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INFO - 10:04:28: 54%|█████▎ | 134/250 [00:00<00:00, 345.71 it/sec, feas=True, obj=0.101]
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INFO - 10:04:28: 54%|█████▍ | 136/250 [00:00<00:00, 345.53 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 55%|█████▍ | 137/250 [00:00<00:00, 345.60 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 55%|█████▌ | 138/250 [00:00<00:00, 345.54 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 56%|█████▌ | 139/250 [00:00<00:00, 345.42 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 56%|█████▌ | 140/250 [00:00<00:00, 345.49 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 56%|█████▋ | 141/250 [00:00<00:00, 345.59 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 57%|█████▋ | 142/250 [00:00<00:00, 345.62 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 57%|█████▋ | 143/250 [00:00<00:00, 345.64 it/sec, feas=True, obj=0.1]
INFO - 10:04:28: 58%|█████▊ | 144/250 [00:00<00:00, 345.60 it/sec, feas=True, obj=0.1]
INFO - 10:04:28: 58%|█████▊ | 145/250 [00:00<00:00, 345.48 it/sec, feas=True, obj=0.1]
INFO - 10:04:28: 58%|█████▊ | 146/250 [00:00<00:00, 345.51 it/sec, feas=True, obj=0.1]
INFO - 10:04:28: 59%|█████▉ | 147/250 [00:00<00:00, 345.51 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 59%|█████▉ | 148/250 [00:00<00:00, 345.41 it/sec, feas=True, obj=0.1]
INFO - 10:04:28: 60%|█████▉ | 149/250 [00:00<00:00, 345.48 it/sec, feas=True, obj=0.1]
INFO - 10:04:28: 60%|██████ | 150/250 [00:00<00:00, 345.55 it/sec, feas=True, obj=0.1]
INFO - 10:04:28: 60%|██████ | 151/250 [00:00<00:00, 345.58 it/sec, feas=True, obj=0.1]
INFO - 10:04:28: 61%|██████ | 152/250 [00:00<00:00, 345.46 it/sec, feas=True, obj=0.0999]
INFO - 10:04:28: 61%|██████ | 153/250 [00:00<00:00, 345.49 it/sec, feas=True, obj=0.0999]
INFO - 10:04:28: 62%|██████▏ | 154/250 [00:00<00:00, 345.43 it/sec, feas=True, obj=0.0998]
INFO - 10:04:28: 62%|██████▏ | 155/250 [00:00<00:00, 345.38 it/sec, feas=True, obj=0.0998]
INFO - 10:04:28: 62%|██████▏ | 156/250 [00:00<00:00, 345.40 it/sec, feas=True, obj=0.0997]
INFO - 10:04:28: 63%|██████▎ | 157/250 [00:00<00:00, 345.46 it/sec, feas=True, obj=0.1]
INFO - 10:04:28: 63%|██████▎ | 158/250 [00:00<00:00, 345.36 it/sec, feas=True, obj=0.0996]
INFO - 10:04:28: 64%|██████▎ | 159/250 [00:00<00:00, 345.44 it/sec, feas=True, obj=0.0996]
INFO - 10:04:28: 64%|██████▍ | 160/250 [00:00<00:00, 345.45 it/sec, feas=True, obj=0.0996]
INFO - 10:04:28: 64%|██████▍ | 161/250 [00:00<00:00, 345.51 it/sec, feas=True, obj=0.1]
INFO - 10:04:28: 65%|██████▍ | 162/250 [00:00<00:00, 345.54 it/sec, feas=True, obj=0.0995]
INFO - 10:04:28: 65%|██████▌ | 163/250 [00:00<00:00, 345.59 it/sec, feas=True, obj=0.0996]
INFO - 10:04:28: 66%|██████▌ | 164/250 [00:00<00:00, 345.63 it/sec, feas=True, obj=0.0995]
INFO - 10:04:28: 66%|██████▌ | 165/250 [00:00<00:00, 345.44 it/sec, feas=True, obj=0.0993]
INFO - 10:04:28: 66%|██████▋ | 166/250 [00:00<00:00, 345.47 it/sec, feas=True, obj=0.0993]
INFO - 10:04:28: 67%|██████▋ | 167/250 [00:00<00:00, 345.28 it/sec, feas=True, obj=0.0992]
INFO - 10:04:28: 67%|██████▋ | 168/250 [00:00<00:00, 345.20 it/sec, feas=True, obj=0.0996]
INFO - 10:04:28: 68%|██████▊ | 169/250 [00:00<00:00, 345.12 it/sec, feas=True, obj=0.0992]
INFO - 10:04:28: 68%|██████▊ | 170/250 [00:00<00:00, 344.94 it/sec, feas=True, obj=0.0992]
INFO - 10:04:28: 68%|██████▊ | 171/250 [00:00<00:00, 344.82 it/sec, feas=True, obj=0.0992]
INFO - 10:04:28: 69%|██████▉ | 172/250 [00:00<00:00, 344.86 it/sec, feas=True, obj=0.0991]
INFO - 10:04:28: 69%|██████▉ | 173/250 [00:00<00:00, 344.24 it/sec, feas=True, obj=0.0991]
INFO - 10:04:28: 70%|██████▉ | 174/250 [00:00<00:00, 344.26 it/sec, feas=True, obj=0.0991]
INFO - 10:04:28: 70%|███████ | 175/250 [00:00<00:00, 344.22 it/sec, feas=True, obj=0.0991]
INFO - 10:04:28: 70%|███████ | 176/250 [00:00<00:00, 344.31 it/sec, feas=True, obj=0.0991]
INFO - 10:04:28: 71%|███████ | 177/250 [00:00<00:00, 344.16 it/sec, feas=True, obj=0.0991]
INFO - 10:04:28: 71%|███████ | 178/250 [00:00<00:00, 344.13 it/sec, feas=True, obj=0.0991]
INFO - 10:04:28: 72%|███████▏ | 179/250 [00:00<00:00, 344.18 it/sec, feas=True, obj=0.0991]
INFO - 10:04:28: 72%|███████▏ | 180/250 [00:00<00:00, 344.23 it/sec, feas=True, obj=0.0991]
INFO - 10:04:28: 72%|███████▏ | 181/250 [00:00<00:00, 344.26 it/sec, feas=True, obj=0.0991]
INFO - 10:04:28: 73%|███████▎ | 182/250 [00:00<00:00, 344.18 it/sec, feas=True, obj=0.0991]
INFO - 10:04:28: 73%|███████▎ | 183/250 [00:00<00:00, 344.27 it/sec, feas=True, obj=0.0991]
INFO - 10:04:28: 74%|███████▎ | 184/250 [00:00<00:00, 343.63 it/sec, feas=True, obj=0.0991]
INFO - 10:04:28: 74%|███████▍ | 185/250 [00:00<00:00, 343.74 it/sec, feas=True, obj=0.0991]
INFO - 10:04:28: Optimization result:
INFO - 10:04:28: Optimizer info:
INFO - 10:04:28: Status: None
INFO - 10:04:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:28: Solution:
INFO - 10:04:28: Objective: 0.09908276192577903
INFO - 10:04:28: Design space:
INFO - 10:04:28: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:28: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:28: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:28: | left_asymptote | 0 | 0.003381862955381922 | 0.01318893484301132 | float |
INFO - 10:04:28: | capacity | 0.003138431245171017 | 0.03045876768854157 | 0.1318893484301132 | float |
INFO - 10:04:28: | growth_rate | 0.0001932855905600599 | 0.0001932855905600599 | 0.001739570315040539 | float |
INFO - 10:04:28: | x_lag | 0 | 14611.81267378187 | 37043.63193300553 | float |
INFO - 10:04:28: | logistic_nu | 0.1 | 0.3969498434333185 | 10 | float |
INFO - 10:04:28: | asymptote_coeff | 0.1 | 1.566098354589209 | 10 | float |
INFO - 10:04:28: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:28: Optimization problem:
INFO - 10:04:28: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:28: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:28: over the design space:
INFO - 10:04:28: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:28: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:28: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:28: | left_asymptote | 0 | 0.01176187557449718 | 0.01318893484301132 | float |
INFO - 10:04:28: | capacity | 0.003138431245171017 | 0.08047099280045029 | 0.1318893484301132 | float |
INFO - 10:04:28: | growth_rate | 0.0001932855905600599 | 0.001476677993092866 | 0.001739570315040539 | float |
INFO - 10:04:28: | x_lag | 0 | 20069.32689718614 | 37043.63193300553 | float |
INFO - 10:04:28: | logistic_nu | 0.1 | 0.8873151181548338 | 10 | float |
INFO - 10:04:28: | asymptote_coeff | 0.1 | 3.019796092071068 | 10 | float |
INFO - 10:04:28: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:28: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:28: 1%| | 2/250 [00:00<00:00, 390.57 it/sec, feas=True, obj=1]
INFO - 10:04:28: 1%| | 3/250 [00:00<00:00, 400.41 it/sec, feas=True, obj=0.652]
INFO - 10:04:28: 2%|▏ | 4/250 [00:00<00:00, 392.79 it/sec, feas=True, obj=0.833]
INFO - 10:04:28: 2%|▏ | 5/250 [00:00<00:00, 387.09 it/sec, feas=True, obj=0.427]
INFO - 10:04:28: 2%|▏ | 6/250 [00:00<00:00, 382.91 it/sec, feas=True, obj=0.427]
INFO - 10:04:28: 3%|▎ | 7/250 [00:00<00:00, 381.99 it/sec, feas=True, obj=0.426]
INFO - 10:04:28: 3%|▎ | 8/250 [00:00<00:00, 378.48 it/sec, feas=True, obj=0.426]
INFO - 10:04:28: 4%|▎ | 9/250 [00:00<00:00, 375.25 it/sec, feas=True, obj=0.426]
INFO - 10:04:28: Optimization result:
INFO - 10:04:28: Optimizer info:
INFO - 10:04:28: Status: None
INFO - 10:04:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:28: Solution:
INFO - 10:04:28: Objective: 0.42625186634260853
INFO - 10:04:28: Design space:
INFO - 10:04:28: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:28: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:28: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:28: | left_asymptote | 0 | 0.007364093023876072 | 0.01318893484301132 | float |
INFO - 10:04:28: | capacity | 0.003138431245171017 | 0.04417680431284329 | 0.1318893484301132 | float |
INFO - 10:04:28: | growth_rate | 0.0001932855905600599 | 0.001523453737162489 | 0.001739570315040539 | float |
INFO - 10:04:28: | x_lag | 0 | 28231.11884639863 | 37043.63193300553 | float |
INFO - 10:04:28: | logistic_nu | 0.1 | 0.1001264780596222 | 10 | float |
INFO - 10:04:28: | asymptote_coeff | 0.1 | 6.421744032459141 | 10 | float |
INFO - 10:04:28: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:28: Optimization problem:
INFO - 10:04:28: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:28: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:28: over the design space:
INFO - 10:04:28: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:28: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:28: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:28: | left_asymptote | 0 | 0.007110553164755429 | 0.01318893484301132 | float |
INFO - 10:04:28: | capacity | 0.003138431245171017 | 0.1107861682508593 | 0.1318893484301132 | float |
INFO - 10:04:28: | growth_rate | 0.0001932855905600599 | 0.001288395204927572 | 0.001739570315040539 | float |
INFO - 10:04:28: | x_lag | 0 | 21290.84864819182 | 37043.63193300553 | float |
INFO - 10:04:28: | logistic_nu | 0.1 | 9.519289087607232 | 10 | float |
INFO - 10:04:28: | asymptote_coeff | 0.1 | 9.085777545900603 | 10 | float |
INFO - 10:04:28: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:28: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:28: 1%| | 2/249 [00:00<00:00, 395.41 it/sec, feas=True, obj=0.952]
INFO - 10:04:28: 1%| | 3/249 [00:00<00:00, 399.89 it/sec, feas=True, obj=0.744]
INFO - 10:04:28: 2%|▏ | 4/249 [00:00<00:00, 387.01 it/sec, feas=True, obj=0.559]
INFO - 10:04:28: 2%|▏ | 5/249 [00:00<00:00, 382.16 it/sec, feas=True, obj=0.406]
INFO - 10:04:28: 2%|▏ | 6/249 [00:00<00:00, 379.54 it/sec, feas=True, obj=1.8]
INFO - 10:04:28: 3%|▎ | 7/249 [00:00<00:00, 338.77 it/sec, feas=True, obj=0.353]
INFO - 10:04:28: 3%|▎ | 8/249 [00:00<00:00, 342.41 it/sec, feas=True, obj=0.488]
INFO - 10:04:28: 4%|▎ | 9/249 [00:00<00:00, 343.17 it/sec, feas=True, obj=0.328]
INFO - 10:04:28: 4%|▍ | 10/249 [00:00<00:00, 343.42 it/sec, feas=True, obj=0.303]
INFO - 10:04:28: 4%|▍ | 11/249 [00:00<00:00, 344.38 it/sec, feas=True, obj=0.246]
INFO - 10:04:28: 5%|▍ | 12/249 [00:00<00:00, 336.94 it/sec, feas=True, obj=0.292]
INFO - 10:04:28: 5%|▌ | 13/249 [00:00<00:00, 338.08 it/sec, feas=True, obj=0.237]
INFO - 10:04:28: 6%|▌ | 14/249 [00:00<00:00, 338.31 it/sec, feas=True, obj=0.227]
INFO - 10:04:28: 6%|▌ | 15/249 [00:00<00:00, 338.92 it/sec, feas=True, obj=0.205]
INFO - 10:04:28: 6%|▋ | 16/249 [00:00<00:00, 339.38 it/sec, feas=True, obj=0.372]
INFO - 10:04:28: 7%|▋ | 17/249 [00:00<00:00, 340.14 it/sec, feas=True, obj=0.183]
INFO - 10:04:28: 7%|▋ | 18/249 [00:00<00:00, 340.66 it/sec, feas=True, obj=0.197]
INFO - 10:04:28: 8%|▊ | 19/249 [00:00<00:00, 342.34 it/sec, feas=True, obj=0.143]
INFO - 10:04:28: 8%|▊ | 20/249 [00:00<00:00, 342.64 it/sec, feas=True, obj=0.142]
INFO - 10:04:28: 8%|▊ | 21/249 [00:00<00:00, 343.52 it/sec, feas=True, obj=0.14]
INFO - 10:04:28: 9%|▉ | 22/249 [00:00<00:00, 344.31 it/sec, feas=True, obj=0.425]
INFO - 10:04:28: 9%|▉ | 23/249 [00:00<00:00, 344.75 it/sec, feas=True, obj=0.146]
INFO - 10:04:28: 10%|▉ | 24/249 [00:00<00:00, 345.64 it/sec, feas=True, obj=0.139]
INFO - 10:04:28: 10%|█ | 25/249 [00:00<00:00, 345.80 it/sec, feas=True, obj=0.128]
INFO - 10:04:28: 10%|█ | 26/249 [00:00<00:00, 346.31 it/sec, feas=True, obj=0.123]
INFO - 10:04:28: 11%|█ | 27/249 [00:00<00:00, 346.73 it/sec, feas=True, obj=0.123]
INFO - 10:04:28: 11%|█ | 28/249 [00:00<00:00, 347.13 it/sec, feas=True, obj=0.123]
INFO - 10:04:28: 12%|█▏ | 29/249 [00:00<00:00, 347.67 it/sec, feas=True, obj=0.122]
INFO - 10:04:28: 12%|█▏ | 30/249 [00:00<00:00, 348.03 it/sec, feas=True, obj=0.121]
INFO - 10:04:28: 12%|█▏ | 31/249 [00:00<00:00, 347.99 it/sec, feas=True, obj=0.119]
INFO - 10:04:28: 13%|█▎ | 32/249 [00:00<00:00, 348.18 it/sec, feas=True, obj=0.115]
INFO - 10:04:28: 13%|█▎ | 33/249 [00:00<00:00, 348.38 it/sec, feas=True, obj=0.111]
INFO - 10:04:28: 14%|█▎ | 34/249 [00:00<00:00, 349.09 it/sec, feas=True, obj=0.113]
INFO - 10:04:28: 14%|█▍ | 35/249 [00:00<00:00, 349.35 it/sec, feas=True, obj=0.111]
INFO - 10:04:28: 14%|█▍ | 36/249 [00:00<00:00, 349.23 it/sec, feas=True, obj=0.117]
INFO - 10:04:28: 15%|█▍ | 37/249 [00:00<00:00, 349.49 it/sec, feas=True, obj=0.111]
INFO - 10:04:28: 15%|█▌ | 38/249 [00:00<00:00, 349.83 it/sec, feas=True, obj=0.111]
INFO - 10:04:28: 16%|█▌ | 39/249 [00:00<00:00, 349.96 it/sec, feas=True, obj=0.111]
INFO - 10:04:28: 16%|█▌ | 40/249 [00:00<00:00, 350.17 it/sec, feas=True, obj=0.111]
INFO - 10:04:28: 16%|█▋ | 41/249 [00:00<00:00, 350.33 it/sec, feas=True, obj=0.11]
INFO - 10:04:28: 17%|█▋ | 42/249 [00:00<00:00, 350.53 it/sec, feas=True, obj=0.11]
INFO - 10:04:28: 17%|█▋ | 43/249 [00:00<00:00, 350.67 it/sec, feas=True, obj=0.11]
INFO - 10:04:28: 18%|█▊ | 44/249 [00:00<00:00, 351.09 it/sec, feas=True, obj=0.445]
INFO - 10:04:28: 18%|█▊ | 45/249 [00:00<00:00, 351.01 it/sec, feas=True, obj=0.11]
INFO - 10:04:28: 18%|█▊ | 46/249 [00:00<00:00, 351.22 it/sec, feas=True, obj=0.142]
INFO - 10:04:28: 19%|█▉ | 47/249 [00:00<00:00, 351.42 it/sec, feas=True, obj=0.109]
INFO - 10:04:28: 19%|█▉ | 48/249 [00:00<00:00, 351.79 it/sec, feas=True, obj=0.115]
INFO - 10:04:28: 20%|█▉ | 49/249 [00:00<00:00, 352.01 it/sec, feas=True, obj=0.109]
INFO - 10:04:28: 20%|██ | 50/249 [00:00<00:00, 352.22 it/sec, feas=True, obj=0.111]
INFO - 10:04:28: 20%|██ | 51/249 [00:00<00:00, 352.46 it/sec, feas=True, obj=0.109]
INFO - 10:04:28: 21%|██ | 52/249 [00:00<00:00, 352.67 it/sec, feas=True, obj=0.108]
INFO - 10:04:28: 21%|██▏ | 53/249 [00:00<00:00, 352.19 it/sec, feas=True, obj=0.107]
INFO - 10:04:28: 22%|██▏ | 54/249 [00:00<00:00, 352.42 it/sec, feas=True, obj=0.108]
INFO - 10:04:28: 22%|██▏ | 55/249 [00:00<00:00, 352.16 it/sec, feas=True, obj=0.107]
INFO - 10:04:28: 22%|██▏ | 56/249 [00:00<00:00, 352.22 it/sec, feas=True, obj=0.107]
INFO - 10:04:28: 23%|██▎ | 57/249 [00:00<00:00, 352.42 it/sec, feas=True, obj=0.106]
INFO - 10:04:28: 23%|██▎ | 58/249 [00:00<00:00, 352.59 it/sec, feas=True, obj=0.106]
INFO - 10:04:28: 24%|██▎ | 59/249 [00:00<00:00, 352.61 it/sec, feas=True, obj=0.109]
INFO - 10:04:28: 24%|██▍ | 60/249 [00:00<00:00, 352.66 it/sec, feas=True, obj=0.106]
INFO - 10:04:28: 24%|██▍ | 61/249 [00:00<00:00, 349.21 it/sec, feas=True, obj=0.106]
INFO - 10:04:28: 25%|██▍ | 62/249 [00:00<00:00, 349.25 it/sec, feas=True, obj=0.106]
INFO - 10:04:28: 25%|██▌ | 63/249 [00:00<00:00, 349.19 it/sec, feas=True, obj=0.105]
INFO - 10:04:28: 26%|██▌ | 64/249 [00:00<00:00, 349.20 it/sec, feas=True, obj=0.118]
INFO - 10:04:28: 26%|██▌ | 65/249 [00:00<00:00, 349.11 it/sec, feas=True, obj=0.105]
INFO - 10:04:28: 27%|██▋ | 66/249 [00:00<00:00, 349.03 it/sec, feas=True, obj=0.105]
INFO - 10:04:28: 27%|██▋ | 67/249 [00:00<00:00, 349.16 it/sec, feas=True, obj=0.105]
INFO - 10:04:28: 27%|██▋ | 68/249 [00:00<00:00, 349.29 it/sec, feas=True, obj=0.104]
INFO - 10:04:28: 28%|██▊ | 69/249 [00:00<00:00, 349.35 it/sec, feas=True, obj=0.104]
INFO - 10:04:28: 28%|██▊ | 70/249 [00:00<00:00, 349.41 it/sec, feas=True, obj=0.104]
INFO - 10:04:28: 29%|██▊ | 71/249 [00:00<00:00, 349.59 it/sec, feas=True, obj=0.105]
INFO - 10:04:28: 29%|██▉ | 72/249 [00:00<00:00, 348.15 it/sec, feas=True, obj=0.104]
INFO - 10:04:28: 29%|██▉ | 73/249 [00:00<00:00, 348.29 it/sec, feas=True, obj=0.104]
INFO - 10:04:28: 30%|██▉ | 74/249 [00:00<00:00, 348.43 it/sec, feas=True, obj=0.104]
INFO - 10:04:28: 30%|███ | 75/249 [00:00<00:00, 348.56 it/sec, feas=True, obj=0.104]
INFO - 10:04:28: 31%|███ | 76/249 [00:00<00:00, 348.73 it/sec, feas=True, obj=0.104]
INFO - 10:04:28: 31%|███ | 77/249 [00:00<00:00, 348.92 it/sec, feas=True, obj=0.104]
INFO - 10:04:28: 31%|███▏ | 78/249 [00:00<00:00, 345.40 it/sec, feas=True, obj=0.104]
INFO - 10:04:28: 32%|███▏ | 79/249 [00:00<00:00, 345.53 it/sec, feas=True, obj=0.104]
INFO - 10:04:28: 32%|███▏ | 80/249 [00:00<00:00, 345.21 it/sec, feas=True, obj=0.104]
INFO - 10:04:28: 33%|███▎ | 81/249 [00:00<00:00, 345.37 it/sec, feas=True, obj=0.104]
INFO - 10:04:28: 33%|███▎ | 82/249 [00:00<00:00, 345.55 it/sec, feas=True, obj=0.104]
INFO - 10:04:28: 33%|███▎ | 83/249 [00:00<00:00, 345.64 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 34%|███▎ | 84/249 [00:00<00:00, 345.72 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 34%|███▍ | 85/249 [00:00<00:00, 345.83 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 35%|███▍ | 86/249 [00:00<00:00, 345.83 it/sec, feas=True, obj=0.108]
INFO - 10:04:28: 35%|███▍ | 87/249 [00:00<00:00, 346.06 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 35%|███▌ | 88/249 [00:00<00:00, 346.03 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 36%|███▌ | 89/249 [00:00<00:00, 345.93 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 36%|███▌ | 90/249 [00:00<00:00, 345.88 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 37%|███▋ | 91/249 [00:00<00:00, 345.89 it/sec, feas=True, obj=0.104]
INFO - 10:04:28: 37%|███▋ | 92/249 [00:00<00:00, 345.83 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 37%|███▋ | 93/249 [00:00<00:00, 345.86 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 38%|███▊ | 94/249 [00:00<00:00, 345.85 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 38%|███▊ | 95/249 [00:00<00:00, 345.83 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 39%|███▊ | 96/249 [00:00<00:00, 345.70 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 39%|███▉ | 97/249 [00:00<00:00, 345.62 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 39%|███▉ | 98/249 [00:00<00:00, 345.46 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 40%|███▉ | 99/249 [00:00<00:00, 345.52 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 40%|████ | 100/249 [00:00<00:00, 345.21 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 41%|████ | 101/249 [00:00<00:00, 345.27 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 41%|████ | 102/249 [00:00<00:00, 345.44 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 41%|████▏ | 103/249 [00:00<00:00, 345.54 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 42%|████▏ | 104/249 [00:00<00:00, 345.74 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 42%|████▏ | 105/249 [00:00<00:00, 344.60 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 43%|████▎ | 106/249 [00:00<00:00, 344.80 it/sec, feas=True, obj=0.103]
INFO - 10:04:28: 43%|████▎ | 107/249 [00:00<00:00, 344.89 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 43%|████▎ | 108/249 [00:00<00:00, 344.93 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 44%|████▍ | 109/249 [00:00<00:00, 344.85 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 44%|████▍ | 110/249 [00:00<00:00, 342.10 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 45%|████▍ | 111/249 [00:00<00:00, 341.80 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 45%|████▍ | 112/249 [00:00<00:00, 341.93 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 45%|████▌ | 113/249 [00:00<00:00, 341.90 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 46%|████▌ | 114/249 [00:00<00:00, 341.89 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 46%|████▌ | 115/249 [00:00<00:00, 342.03 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 47%|████▋ | 116/249 [00:00<00:00, 342.12 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 47%|████▋ | 117/249 [00:00<00:00, 342.10 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 47%|████▋ | 118/249 [00:00<00:00, 342.20 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 48%|████▊ | 119/249 [00:00<00:00, 342.35 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 48%|████▊ | 120/249 [00:00<00:00, 342.49 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 49%|████▊ | 121/249 [00:00<00:00, 342.47 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 49%|████▉ | 122/249 [00:00<00:00, 342.45 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 49%|████▉ | 123/249 [00:00<00:00, 342.42 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 50%|████▉ | 124/249 [00:00<00:00, 342.37 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 50%|█████ | 125/249 [00:00<00:00, 342.33 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 51%|█████ | 126/249 [00:00<00:00, 342.28 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 51%|█████ | 127/249 [00:00<00:00, 342.19 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 51%|█████▏ | 128/249 [00:00<00:00, 342.19 it/sec, feas=True, obj=0.102]
INFO - 10:04:28: 52%|█████▏ | 129/249 [00:00<00:00, 342.14 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 52%|█████▏ | 130/249 [00:00<00:00, 342.00 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 53%|█████▎ | 131/249 [00:00<00:00, 341.95 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 53%|█████▎ | 132/249 [00:00<00:00, 341.90 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 53%|█████▎ | 133/249 [00:00<00:00, 341.74 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 54%|█████▍ | 134/249 [00:00<00:00, 341.71 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 54%|█████▍ | 135/249 [00:00<00:00, 341.68 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 55%|█████▍ | 136/249 [00:00<00:00, 341.53 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 55%|█████▌ | 137/249 [00:00<00:00, 341.49 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 55%|█████▌ | 138/249 [00:00<00:00, 341.53 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 56%|█████▌ | 139/249 [00:00<00:00, 341.70 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 56%|█████▌ | 140/249 [00:00<00:00, 340.02 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 57%|█████▋ | 141/249 [00:00<00:00, 340.22 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 57%|█████▋ | 142/249 [00:00<00:00, 340.35 it/sec, feas=True, obj=0.101]
INFO - 10:04:28: 57%|█████▋ | 143/249 [00:00<00:00, 340.50 it/sec, feas=True, obj=0.102]
INFO - 10:04:29: 58%|█████▊ | 144/249 [00:00<00:00, 340.65 it/sec, feas=True, obj=0.101]
INFO - 10:04:29: 58%|█████▊ | 145/249 [00:00<00:00, 340.80 it/sec, feas=True, obj=0.101]
INFO - 10:04:29: 59%|█████▊ | 146/249 [00:00<00:00, 340.96 it/sec, feas=True, obj=0.102]
INFO - 10:04:29: 59%|█████▉ | 147/249 [00:00<00:00, 341.01 it/sec, feas=True, obj=0.101]
INFO - 10:04:29: 59%|█████▉ | 148/249 [00:00<00:00, 340.74 it/sec, feas=True, obj=0.101]
INFO - 10:04:29: 60%|█████▉ | 149/249 [00:00<00:00, 340.76 it/sec, feas=True, obj=0.101]
INFO - 10:04:29: 60%|██████ | 150/249 [00:00<00:00, 340.85 it/sec, feas=True, obj=0.101]
INFO - 10:04:29: 61%|██████ | 151/249 [00:00<00:00, 340.95 it/sec, feas=True, obj=0.101]
INFO - 10:04:29: 61%|██████ | 152/249 [00:00<00:00, 341.05 it/sec, feas=True, obj=0.101]
INFO - 10:04:29: 61%|██████▏ | 153/249 [00:00<00:00, 341.22 it/sec, feas=True, obj=0.101]
INFO - 10:04:29: 62%|██████▏ | 154/249 [00:00<00:00, 341.34 it/sec, feas=True, obj=0.101]
INFO - 10:04:29: 62%|██████▏ | 155/249 [00:00<00:00, 341.47 it/sec, feas=True, obj=0.101]
INFO - 10:04:29: 63%|██████▎ | 156/249 [00:00<00:00, 341.33 it/sec, feas=True, obj=0.1]
INFO - 10:04:29: 63%|██████▎ | 157/249 [00:00<00:00, 341.35 it/sec, feas=True, obj=0.1]
INFO - 10:04:29: 63%|██████▎ | 158/249 [00:00<00:00, 341.47 it/sec, feas=True, obj=0.1]
INFO - 10:04:29: 64%|██████▍ | 159/249 [00:00<00:00, 341.61 it/sec, feas=True, obj=0.1]
INFO - 10:04:29: 64%|██████▍ | 160/249 [00:00<00:00, 341.72 it/sec, feas=True, obj=0.1]
INFO - 10:04:29: 65%|██████▍ | 161/249 [00:00<00:00, 341.79 it/sec, feas=True, obj=0.1]
INFO - 10:04:29: 65%|██████▌ | 162/249 [00:00<00:00, 341.94 it/sec, feas=True, obj=0.113]
INFO - 10:04:29: 65%|██████▌ | 163/249 [00:00<00:00, 342.05 it/sec, feas=True, obj=0.1]
INFO - 10:04:29: 66%|██████▌ | 164/249 [00:00<00:00, 342.14 it/sec, feas=True, obj=0.1]
INFO - 10:04:29: 66%|██████▋ | 165/249 [00:00<00:00, 342.21 it/sec, feas=True, obj=0.1]
INFO - 10:04:29: 67%|██████▋ | 166/249 [00:00<00:00, 342.32 it/sec, feas=True, obj=0.101]
INFO - 10:04:29: 67%|██████▋ | 167/249 [00:00<00:00, 342.31 it/sec, feas=True, obj=0.1]
INFO - 10:04:29: 67%|██████▋ | 168/249 [00:00<00:00, 342.43 it/sec, feas=True, obj=0.1]
INFO - 10:04:29: 68%|██████▊ | 169/249 [00:00<00:00, 342.55 it/sec, feas=True, obj=0.1]
INFO - 10:04:29: 68%|██████▊ | 170/249 [00:00<00:00, 342.63 it/sec, feas=True, obj=0.1]
INFO - 10:04:29: 69%|██████▊ | 171/249 [00:00<00:00, 341.51 it/sec, feas=True, obj=0.0999]
INFO - 10:04:29: 69%|██████▉ | 172/249 [00:00<00:00, 341.60 it/sec, feas=True, obj=0.0998]
INFO - 10:04:29: 69%|██████▉ | 173/249 [00:00<00:00, 341.68 it/sec, feas=True, obj=0.0998]
INFO - 10:04:29: 70%|██████▉ | 174/249 [00:00<00:00, 341.64 it/sec, feas=True, obj=0.0998]
INFO - 10:04:29: 70%|███████ | 175/249 [00:00<00:00, 341.71 it/sec, feas=True, obj=0.0997]
INFO - 10:04:29: 71%|███████ | 176/249 [00:00<00:00, 341.79 it/sec, feas=True, obj=0.0996]
INFO - 10:04:29: 71%|███████ | 177/249 [00:00<00:00, 341.91 it/sec, feas=True, obj=0.1]
INFO - 10:04:29: 71%|███████▏ | 178/249 [00:00<00:00, 342.02 it/sec, feas=True, obj=0.0995]
INFO - 10:04:29: 72%|███████▏ | 179/249 [00:00<00:00, 342.13 it/sec, feas=True, obj=0.0996]
INFO - 10:04:29: 72%|███████▏ | 180/249 [00:00<00:00, 342.20 it/sec, feas=True, obj=0.0995]
INFO - 10:04:29: 73%|███████▎ | 181/249 [00:00<00:00, 342.28 it/sec, feas=True, obj=0.0995]
INFO - 10:04:29: 73%|███████▎ | 182/249 [00:00<00:00, 342.34 it/sec, feas=True, obj=0.0994]
INFO - 10:04:29: 73%|███████▎ | 183/249 [00:00<00:00, 342.44 it/sec, feas=True, obj=0.0994]
INFO - 10:04:29: 74%|███████▍ | 184/249 [00:00<00:00, 342.53 it/sec, feas=True, obj=0.0993]
INFO - 10:04:29: 74%|███████▍ | 185/249 [00:00<00:00, 342.56 it/sec, feas=True, obj=0.0993]
INFO - 10:04:29: 75%|███████▍ | 186/249 [00:00<00:00, 342.65 it/sec, feas=True, obj=0.0993]
INFO - 10:04:29: 75%|███████▌ | 187/249 [00:00<00:00, 342.72 it/sec, feas=True, obj=0.0993]
INFO - 10:04:29: 76%|███████▌ | 188/249 [00:00<00:00, 342.84 it/sec, feas=True, obj=0.122]
INFO - 10:04:29: 76%|███████▌ | 189/249 [00:00<00:00, 342.91 it/sec, feas=True, obj=0.0993]
INFO - 10:04:29: 76%|███████▋ | 190/249 [00:00<00:00, 342.97 it/sec, feas=True, obj=0.0993]
INFO - 10:04:29: 77%|███████▋ | 191/249 [00:00<00:00, 342.99 it/sec, feas=True, obj=0.0992]
INFO - 10:04:29: 77%|███████▋ | 192/249 [00:00<00:00, 343.06 it/sec, feas=True, obj=0.0992]
INFO - 10:04:29: 78%|███████▊ | 193/249 [00:00<00:00, 343.14 it/sec, feas=True, obj=0.0992]
INFO - 10:04:29: 78%|███████▊ | 194/249 [00:00<00:00, 343.23 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: 78%|███████▊ | 195/249 [00:00<00:00, 343.32 it/sec, feas=True, obj=0.0996]
INFO - 10:04:29: 79%|███████▊ | 196/249 [00:00<00:00, 343.40 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: 79%|███████▉ | 197/249 [00:00<00:00, 342.18 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: 80%|███████▉ | 198/249 [00:00<00:00, 342.26 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: 80%|███████▉ | 199/249 [00:00<00:00, 342.26 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: 80%|████████ | 200/249 [00:00<00:00, 342.28 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: 81%|████████ | 201/249 [00:00<00:00, 342.27 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: 81%|████████ | 202/249 [00:00<00:00, 342.35 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: 82%|████████▏ | 203/249 [00:00<00:00, 342.36 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: 82%|████████▏ | 204/249 [00:00<00:00, 342.45 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: 82%|████████▏ | 205/249 [00:00<00:00, 342.54 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: 83%|████████▎ | 206/249 [00:00<00:00, 342.60 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: 83%|████████▎ | 207/249 [00:00<00:00, 342.60 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: 84%|████████▎ | 208/249 [00:00<00:00, 342.54 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: 84%|████████▍ | 209/249 [00:00<00:00, 342.53 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: 84%|████████▍ | 210/249 [00:00<00:00, 342.53 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: 85%|████████▍ | 211/249 [00:00<00:00, 342.52 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: 85%|████████▌ | 212/249 [00:00<00:00, 342.50 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: 86%|████████▌ | 213/249 [00:00<00:00, 342.49 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: 86%|████████▌ | 214/249 [00:00<00:00, 342.55 it/sec, feas=True, obj=0.0991]
INFO - 10:04:29: Optimization result:
INFO - 10:04:29: Optimizer info:
INFO - 10:04:29: Status: None
INFO - 10:04:29: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:29: Solution:
INFO - 10:04:29: Objective: 0.0990827619253391
INFO - 10:04:29: Design space:
INFO - 10:04:29: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:29: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:29: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:29: | left_asymptote | 0 | 0.003381862056490356 | 0.01318893484301132 | float |
INFO - 10:04:29: | capacity | 0.003138431245171017 | 0.07579189338367806 | 0.1318893484301132 | float |
INFO - 10:04:29: | growth_rate | 0.0001932855905600599 | 0.0001932855905600599 | 0.001739570315040539 | float |
INFO - 10:04:29: | x_lag | 0 | 16632.34898828095 | 37043.63193300553 | float |
INFO - 10:04:29: | logistic_nu | 0.1 | 0.3969640903030994 | 10 | float |
INFO - 10:04:29: | asymptote_coeff | 0.1 | 2.314241844986484 | 10 | float |
INFO - 10:04:29: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:29: Optimization result:
INFO - 10:04:29: Optimizer info:
INFO - 10:04:29: Status: None
INFO - 10:04:29: Message: None
INFO - 10:04:29: Solution:
INFO - 10:04:29: Objective: 0.0990827619244326
INFO - 10:04:29: Design space:
INFO - 10:04:29: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:29: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:29: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:29: | left_asymptote | 0 | 0.003381859498395205 | 0.01318893484301132 | float |
INFO - 10:04:29: | capacity | 0.003138431245171017 | 0.02918087715706521 | 0.1318893484301132 | float |
INFO - 10:04:29: | growth_rate | 0.0001932855905600599 | 0.0001932855905600599 | 0.001739570315040539 | float |
INFO - 10:04:29: | x_lag | 0 | 14512.74924587065 | 37043.63193300553 | float |
INFO - 10:04:29: | logistic_nu | 0.1 | 0.3969604127474843 | 10 | float |
INFO - 10:04:29: | asymptote_coeff | 0.1 | 1.536347615765002 | 10 | float |
INFO - 10:04:29: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:29: *** End MDOScenario execution ***
EUU {'left_asymptote': array([0.00338186]), 'capacity': array([0.02918088]), 'growth_rate': array([0.00019329]), 'x_lag': array([14512.74924587]), 'logistic_nu': array([0.39696041]), 'asymptote_coeff': array([1.53634762])}
INFO - 10:04:29: *** Start MDOScenario execution ***
INFO - 10:04:29: MDOScenario
INFO - 10:04:29: Disciplines: JAXChain
INFO - 10:04:29: MDO formulation: DisciplinaryOpt
INFO - 10:04:29: Optimization problem:
INFO - 10:04:29: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:29: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:29: over the design space:
INFO - 10:04:29: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:29: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:29: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:29: | left_asymptote | 0 | 0.001670093229640868 | 0.004875718376259649 | float |
INFO - 10:04:29: | capacity | 0.001670093229640868 | 0.004875718376259649 | 0.04875718376259649 | float |
INFO - 10:04:29: | growth_rate | 0.0003701647852990702 | 0.001850823926495351 | 0.003331483067691632 | float |
INFO - 10:04:29: | x_lag | 0 | 1736.19041568221 | 3472.380831364421 | float |
INFO - 10:04:29: | logistic_nu | 0.1 | 1 | 10 | float |
INFO - 10:04:29: | asymptote_coeff | 0.1 | 1 | 10 | float |
INFO - 10:04:29: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:29: Solving optimization problem with algorithm MultiStart:
INFO - 10:04:29: Optimization problem:
INFO - 10:04:29: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:29: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:29: over the design space:
INFO - 10:04:29: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:29: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:29: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:29: | left_asymptote | 0 | 0.002779955302839799 | 0.004875718376259649 | float |
INFO - 10:04:29: | capacity | 0.001670093229640868 | 0.02329796769855278 | 0.04875718376259649 | float |
INFO - 10:04:29: | growth_rate | 0.0003701647852990702 | 0.0005796345244860945 | 0.003331483067691632 | float |
INFO - 10:04:29: | x_lag | 0 | 3093.294588560136 | 3472.380831364421 | float |
INFO - 10:04:29: | logistic_nu | 0.1 | 7.368669008241702 | 10 | float |
INFO - 10:04:29: | asymptote_coeff | 0.1 | 7.989486619901931 | 10 | float |
INFO - 10:04:29: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:29: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:29: 1%| | 2/250 [00:00<00:18, 13.23 it/sec, feas=True, obj=0.819]
INFO - 10:04:29: 1%| | 3/250 [00:00<00:12, 19.58 it/sec, feas=True, obj=0.591]
INFO - 10:04:29: 2%|▏ | 4/250 [00:00<00:09, 25.71 it/sec, feas=True, obj=0.372]
INFO - 10:04:29: 2%|▏ | 5/250 [00:00<00:07, 31.65 it/sec, feas=True, obj=0.311]
INFO - 10:04:29: 2%|▏ | 6/250 [00:00<00:06, 37.33 it/sec, feas=True, obj=0.296]
INFO - 10:04:29: 3%|▎ | 7/250 [00:00<00:05, 42.62 it/sec, feas=True, obj=0.236]
INFO - 10:04:29: 3%|▎ | 8/250 [00:00<00:05, 47.91 it/sec, feas=True, obj=0.197]
INFO - 10:04:29: 4%|▎ | 9/250 [00:00<00:04, 53.03 it/sec, feas=True, obj=0.201]
INFO - 10:04:29: 4%|▍ | 10/250 [00:00<00:04, 57.98 it/sec, feas=True, obj=0.196]
INFO - 10:04:29: 4%|▍ | 11/250 [00:00<00:03, 62.77 it/sec, feas=True, obj=0.196]
INFO - 10:04:29: 5%|▍ | 12/250 [00:00<00:03, 67.42 it/sec, feas=True, obj=0.195]
INFO - 10:04:29: 5%|▌ | 13/250 [00:00<00:03, 71.04 it/sec, feas=True, obj=0.195]
INFO - 10:04:29: 6%|▌ | 14/250 [00:00<00:03, 75.35 it/sec, feas=True, obj=0.194]
INFO - 10:04:29: 6%|▌ | 15/250 [00:00<00:02, 79.51 it/sec, feas=True, obj=0.441]
INFO - 10:04:29: 6%|▋ | 16/250 [00:00<00:02, 83.53 it/sec, feas=True, obj=0.194]
INFO - 10:04:29: 7%|▋ | 17/250 [00:00<00:02, 87.42 it/sec, feas=True, obj=0.222]
INFO - 10:04:29: 7%|▋ | 18/250 [00:00<00:02, 91.25 it/sec, feas=True, obj=0.193]
INFO - 10:04:29: 8%|▊ | 19/250 [00:00<00:02, 94.94 it/sec, feas=True, obj=0.198]
INFO - 10:04:29: 8%|▊ | 20/250 [00:00<00:02, 98.50 it/sec, feas=True, obj=0.192]
INFO - 10:04:29: 8%|▊ | 21/250 [00:00<00:02, 101.46 it/sec, feas=True, obj=0.189]
INFO - 10:04:29: 9%|▉ | 22/250 [00:00<00:02, 104.78 it/sec, feas=True, obj=0.186]
INFO - 10:04:29: 9%|▉ | 23/250 [00:00<00:02, 108.06 it/sec, feas=True, obj=0.226]
INFO - 10:04:29: 10%|▉ | 24/250 [00:00<00:02, 111.22 it/sec, feas=True, obj=0.183]
INFO - 10:04:29: 10%|█ | 25/250 [00:00<00:01, 114.36 it/sec, feas=True, obj=0.185]
INFO - 10:04:29: 10%|█ | 26/250 [00:00<00:01, 117.40 it/sec, feas=True, obj=0.182]
INFO - 10:04:29: 11%|█ | 27/250 [00:00<00:01, 120.29 it/sec, feas=True, obj=0.182]
INFO - 10:04:29: 11%|█ | 28/250 [00:00<00:01, 123.13 it/sec, feas=True, obj=0.18]
INFO - 10:04:29: 12%|█▏ | 29/250 [00:00<00:01, 125.90 it/sec, feas=True, obj=0.18]
INFO - 10:04:29: 12%|█▏ | 30/250 [00:00<00:01, 128.68 it/sec, feas=True, obj=0.18]
INFO - 10:04:29: 12%|█▏ | 31/250 [00:00<00:01, 131.43 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 13%|█▎ | 32/250 [00:00<00:01, 134.02 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 13%|█▎ | 33/250 [00:00<00:01, 136.60 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 14%|█▎ | 34/250 [00:00<00:01, 139.07 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 14%|█▍ | 35/250 [00:00<00:01, 141.51 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 14%|█▍ | 36/250 [00:00<00:01, 143.86 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 15%|█▍ | 37/250 [00:00<00:01, 146.23 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 15%|█▌ | 38/250 [00:00<00:01, 148.45 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 16%|█▌ | 39/250 [00:00<00:01, 150.72 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 16%|█▌ | 40/250 [00:00<00:01, 152.85 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 16%|█▋ | 41/250 [00:00<00:01, 154.95 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 17%|█▋ | 42/250 [00:00<00:01, 156.99 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 17%|█▋ | 43/250 [00:00<00:01, 159.00 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 18%|█▊ | 44/250 [00:00<00:01, 160.94 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 18%|█▊ | 45/250 [00:00<00:01, 162.92 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 18%|█▊ | 46/250 [00:00<00:01, 164.89 it/sec, feas=True, obj=0.18]
INFO - 10:04:29: 19%|█▉ | 47/250 [00:00<00:01, 166.83 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 19%|█▉ | 48/250 [00:00<00:01, 168.72 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 20%|█▉ | 49/250 [00:00<00:01, 170.55 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 20%|██ | 50/250 [00:00<00:01, 172.36 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 20%|██ | 51/250 [00:00<00:01, 174.17 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 21%|██ | 52/250 [00:00<00:01, 175.92 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 21%|██ | 53/250 [00:00<00:01, 177.63 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 22%|██▏ | 54/250 [00:00<00:01, 179.33 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 22%|██▏ | 55/250 [00:00<00:01, 181.00 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 22%|██▏ | 56/250 [00:00<00:01, 182.63 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 23%|██▎ | 57/250 [00:00<00:01, 184.21 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 23%|██▎ | 58/250 [00:00<00:01, 185.74 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 24%|██▎ | 59/250 [00:00<00:01, 187.28 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 24%|██▍ | 60/250 [00:00<00:01, 188.83 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 24%|██▍ | 61/250 [00:00<00:00, 190.32 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 25%|██▍ | 62/250 [00:00<00:00, 191.77 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 25%|██▌ | 63/250 [00:00<00:00, 193.21 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 26%|██▌ | 64/250 [00:00<00:00, 194.68 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 26%|██▌ | 65/250 [00:00<00:00, 196.05 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 26%|██▋ | 66/250 [00:00<00:00, 197.42 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 27%|██▋ | 67/250 [00:00<00:00, 198.75 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 27%|██▋ | 68/250 [00:00<00:00, 200.09 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 28%|██▊ | 69/250 [00:00<00:00, 201.39 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 28%|██▊ | 70/250 [00:00<00:00, 202.69 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 28%|██▊ | 71/250 [00:00<00:00, 203.96 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 29%|██▉ | 72/250 [00:00<00:00, 205.24 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 29%|██▉ | 73/250 [00:00<00:00, 206.46 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 30%|██▉ | 74/250 [00:00<00:00, 207.28 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 30%|███ | 75/250 [00:00<00:00, 207.17 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 30%|███ | 76/250 [00:00<00:00, 208.33 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 31%|███ | 77/250 [00:00<00:00, 209.47 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 31%|███ | 78/250 [00:00<00:00, 210.58 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 32%|███▏ | 79/250 [00:00<00:00, 211.67 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 32%|███▏ | 80/250 [00:00<00:00, 212.76 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 32%|███▏ | 81/250 [00:00<00:00, 213.86 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 33%|███▎ | 82/250 [00:00<00:00, 214.91 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 33%|███▎ | 83/250 [00:00<00:00, 215.95 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 34%|███▎ | 84/250 [00:00<00:00, 216.99 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 34%|███▍ | 85/250 [00:00<00:00, 218.03 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 34%|███▍ | 86/250 [00:00<00:00, 219.03 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 35%|███▍ | 87/250 [00:00<00:00, 220.02 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 35%|███▌ | 88/250 [00:00<00:00, 221.00 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 36%|███▌ | 89/250 [00:00<00:00, 221.40 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 36%|███▌ | 90/250 [00:00<00:00, 222.27 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 36%|███▋ | 91/250 [00:00<00:00, 223.12 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 37%|███▋ | 92/250 [00:00<00:00, 223.98 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 37%|███▋ | 93/250 [00:00<00:00, 224.79 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 38%|███▊ | 94/250 [00:00<00:00, 225.61 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 38%|███▊ | 95/250 [00:00<00:00, 226.41 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 38%|███▊ | 96/250 [00:00<00:00, 227.25 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 39%|███▉ | 97/250 [00:00<00:00, 228.08 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 39%|███▉ | 98/250 [00:00<00:00, 228.86 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 40%|███▉ | 99/250 [00:00<00:00, 229.62 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 40%|████ | 100/250 [00:00<00:00, 230.40 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 40%|████ | 101/250 [00:00<00:00, 231.25 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 41%|████ | 102/250 [00:00<00:00, 232.00 it/sec, feas=True, obj=0.182]
INFO - 10:04:29: 41%|████ | 103/250 [00:00<00:00, 232.74 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 42%|████▏ | 104/250 [00:00<00:00, 233.48 it/sec, feas=True, obj=0.181]
INFO - 10:04:29: 42%|████▏ | 105/250 [00:00<00:00, 234.19 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 42%|████▏ | 106/250 [00:00<00:00, 234.86 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 43%|████▎ | 107/250 [00:00<00:00, 235.56 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 43%|████▎ | 108/250 [00:00<00:00, 236.25 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 44%|████▎ | 109/250 [00:00<00:00, 236.95 it/sec, feas=True, obj=0.189]
INFO - 10:04:29: 44%|████▍ | 110/250 [00:00<00:00, 237.61 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 44%|████▍ | 111/250 [00:00<00:00, 238.29 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 45%|████▍ | 112/250 [00:00<00:00, 238.94 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 45%|████▌ | 113/250 [00:00<00:00, 239.58 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 46%|████▌ | 114/250 [00:00<00:00, 240.26 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: Optimization result:
INFO - 10:04:29: Optimizer info:
INFO - 10:04:29: Status: None
INFO - 10:04:29: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:29: Solution:
INFO - 10:04:29: Objective: 0.17870206411468864
INFO - 10:04:29: Design space:
INFO - 10:04:29: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:29: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:29: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:29: | left_asymptote | 0 | 0.002321220464802123 | 0.004875718376259649 | float |
INFO - 10:04:29: | capacity | 0.001670093229640868 | 0.005228835716364632 | 0.04875718376259649 | float |
INFO - 10:04:29: | growth_rate | 0.0003701647852990702 | 0.003331483067691632 | 0.003331483067691632 | float |
INFO - 10:04:29: | x_lag | 0 | 3472.38083136442 | 3472.380831364421 | float |
INFO - 10:04:29: | logistic_nu | 0.1 | 3.78831353914169 | 10 | float |
INFO - 10:04:29: | asymptote_coeff | 0.1 | 1.375778943709403 | 10 | float |
INFO - 10:04:29: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:29: Optimization problem:
INFO - 10:04:29: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:29: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:29: over the design space:
INFO - 10:04:29: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:29: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:29: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:29: | left_asymptote | 0 | 0.001691535603322064 | 0.004875718376259649 | float |
INFO - 10:04:29: | capacity | 0.001670093229640868 | 0.008502889317787801 | 0.04875718376259649 | float |
INFO - 10:04:29: | growth_rate | 0.0003701647852990702 | 0.0008517832368019958 | 0.003331483067691632 | float |
INFO - 10:04:29: | x_lag | 0 | 2260.590210252647 | 3472.380831364421 | float |
INFO - 10:04:29: | logistic_nu | 0.1 | 0.5484496378270003 | 10 | float |
INFO - 10:04:29: | asymptote_coeff | 0.1 | 4.282038415160894 | 10 | float |
INFO - 10:04:29: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:29: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:29: 1%| | 2/250 [00:00<00:00, 382.80 it/sec, feas=True, obj=8.08]
INFO - 10:04:29: 1%| | 3/250 [00:00<00:00, 397.75 it/sec, feas=True, obj=0.611]
INFO - 10:04:29: 2%|▏ | 4/250 [00:00<00:00, 388.34 it/sec, feas=True, obj=0.227]
INFO - 10:04:29: 2%|▏ | 5/250 [00:00<00:00, 382.74 it/sec, feas=True, obj=0.451]
INFO - 10:04:29: 2%|▏ | 6/250 [00:00<00:00, 337.45 it/sec, feas=True, obj=0.218]
INFO - 10:04:29: 3%|▎ | 7/250 [00:00<00:00, 341.63 it/sec, feas=True, obj=0.218]
INFO - 10:04:29: 3%|▎ | 8/250 [00:00<00:00, 344.29 it/sec, feas=True, obj=0.217]
INFO - 10:04:29: 4%|▎ | 9/250 [00:00<00:00, 346.48 it/sec, feas=True, obj=0.212]
INFO - 10:04:29: 4%|▍ | 10/250 [00:00<00:00, 348.87 it/sec, feas=True, obj=0.202]
INFO - 10:04:29: 4%|▍ | 11/250 [00:00<00:00, 350.65 it/sec, feas=True, obj=0.221]
INFO - 10:04:29: 5%|▍ | 12/250 [00:00<00:00, 351.20 it/sec, feas=True, obj=0.195]
INFO - 10:04:29: 5%|▌ | 13/250 [00:00<00:00, 352.63 it/sec, feas=True, obj=0.196]
INFO - 10:04:29: 6%|▌ | 14/250 [00:00<00:00, 353.83 it/sec, feas=True, obj=0.191]
INFO - 10:04:29: 6%|▌ | 15/250 [00:00<00:00, 354.39 it/sec, feas=True, obj=0.189]
INFO - 10:04:29: 6%|▋ | 16/250 [00:00<00:00, 354.93 it/sec, feas=True, obj=0.189]
INFO - 10:04:29: 7%|▋ | 17/250 [00:00<00:00, 355.63 it/sec, feas=True, obj=0.189]
INFO - 10:04:29: 7%|▋ | 18/250 [00:00<00:00, 356.23 it/sec, feas=True, obj=0.189]
INFO - 10:04:29: 8%|▊ | 19/250 [00:00<00:00, 356.34 it/sec, feas=True, obj=0.189]
INFO - 10:04:29: 8%|▊ | 20/250 [00:00<00:00, 349.82 it/sec, feas=True, obj=0.188]
INFO - 10:04:29: 8%|▊ | 21/250 [00:00<00:00, 350.37 it/sec, feas=True, obj=0.188]
INFO - 10:04:29: 9%|▉ | 22/250 [00:00<00:00, 350.66 it/sec, feas=True, obj=0.187]
INFO - 10:04:29: 9%|▉ | 23/250 [00:00<00:00, 351.46 it/sec, feas=True, obj=0.185]
INFO - 10:04:29: 10%|▉ | 24/250 [00:00<00:00, 351.88 it/sec, feas=True, obj=0.184]
INFO - 10:04:29: 10%|█ | 25/250 [00:00<00:00, 352.50 it/sec, feas=True, obj=0.191]
INFO - 10:04:29: 10%|█ | 26/250 [00:00<00:00, 353.02 it/sec, feas=True, obj=0.183]
INFO - 10:04:29: 11%|█ | 27/250 [00:00<00:00, 353.38 it/sec, feas=True, obj=0.181]
INFO - 10:04:29: 11%|█ | 28/250 [00:00<00:00, 353.77 it/sec, feas=True, obj=0.181]
INFO - 10:04:29: 12%|█▏ | 29/250 [00:00<00:00, 353.58 it/sec, feas=True, obj=0.18]
INFO - 10:04:29: 12%|█▏ | 30/250 [00:00<00:00, 345.56 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 12%|█▏ | 31/250 [00:00<00:00, 345.03 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 13%|█▎ | 32/250 [00:00<00:00, 345.60 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 13%|█▎ | 33/250 [00:00<00:00, 346.06 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 14%|█▎ | 34/250 [00:00<00:00, 346.34 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 14%|█▍ | 35/250 [00:00<00:00, 346.78 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 14%|█▍ | 36/250 [00:00<00:00, 347.28 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 15%|█▍ | 37/250 [00:00<00:00, 347.69 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 15%|█▌ | 38/250 [00:00<00:00, 347.94 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 16%|█▌ | 39/250 [00:00<00:00, 348.18 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 16%|█▌ | 40/250 [00:00<00:00, 342.16 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 16%|█▋ | 41/250 [00:00<00:00, 342.11 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 17%|█▋ | 42/250 [00:00<00:00, 342.21 it/sec, feas=True, obj=0.179]
INFO - 10:04:29: 17%|█▋ | 43/250 [00:00<00:00, 342.47 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 18%|█▊ | 44/250 [00:00<00:00, 342.47 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 18%|█▊ | 45/250 [00:00<00:00, 342.47 it/sec, feas=True, obj=0.25]
INFO - 10:04:30: 18%|█▊ | 46/250 [00:00<00:00, 342.55 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 19%|█▉ | 47/250 [00:00<00:00, 342.52 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 19%|█▉ | 48/250 [00:00<00:00, 342.72 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 20%|█▉ | 49/250 [00:00<00:00, 342.51 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 20%|██ | 50/250 [00:00<00:00, 338.27 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 20%|██ | 51/250 [00:00<00:00, 338.40 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 21%|██ | 52/250 [00:00<00:00, 338.39 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 21%|██ | 53/250 [00:00<00:00, 338.36 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 22%|██▏ | 54/250 [00:00<00:00, 338.42 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 22%|██▏ | 55/250 [00:00<00:00, 338.43 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 22%|██▏ | 56/250 [00:00<00:00, 336.89 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 23%|██▎ | 57/250 [00:00<00:00, 336.37 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 23%|██▎ | 58/250 [00:00<00:00, 336.44 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 24%|██▎ | 59/250 [00:00<00:00, 336.50 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 24%|██▍ | 60/250 [00:00<00:00, 336.56 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 24%|██▍ | 61/250 [00:00<00:00, 336.86 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 25%|██▍ | 62/250 [00:00<00:00, 336.99 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 25%|██▌ | 63/250 [00:00<00:00, 337.30 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 26%|██▌ | 64/250 [00:00<00:00, 337.62 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 26%|██▌ | 65/250 [00:00<00:00, 337.62 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 26%|██▋ | 66/250 [00:00<00:00, 337.70 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 27%|██▋ | 67/250 [00:00<00:00, 337.94 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 27%|██▋ | 68/250 [00:00<00:00, 338.26 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 28%|██▊ | 69/250 [00:00<00:00, 338.53 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 28%|██▊ | 70/250 [00:00<00:00, 338.97 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 28%|██▊ | 71/250 [00:00<00:00, 339.07 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 29%|██▉ | 72/250 [00:00<00:00, 338.40 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 29%|██▉ | 73/250 [00:00<00:00, 338.73 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 30%|██▉ | 74/250 [00:00<00:00, 339.00 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 30%|███ | 75/250 [00:00<00:00, 339.23 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 30%|███ | 76/250 [00:00<00:00, 339.58 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 31%|███ | 77/250 [00:00<00:00, 339.87 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 31%|███ | 78/250 [00:00<00:00, 340.15 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 32%|███▏ | 79/250 [00:00<00:00, 340.45 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 32%|███▏ | 80/250 [00:00<00:00, 340.71 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 32%|███▏ | 81/250 [00:00<00:00, 341.05 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 33%|███▎ | 82/250 [00:00<00:00, 341.24 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 33%|███▎ | 83/250 [00:00<00:00, 341.53 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 34%|███▎ | 84/250 [00:00<00:00, 341.76 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 34%|███▍ | 85/250 [00:00<00:00, 338.96 it/sec, feas=True, obj=0.18]
INFO - 10:04:30: 34%|███▍ | 86/250 [00:00<00:00, 339.19 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 35%|███▍ | 87/250 [00:00<00:00, 339.47 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 35%|███▌ | 88/250 [00:00<00:00, 339.71 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 36%|███▌ | 89/250 [00:00<00:00, 339.95 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 36%|███▌ | 90/250 [00:00<00:00, 340.25 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 36%|███▋ | 91/250 [00:00<00:00, 340.45 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 37%|███▋ | 92/250 [00:00<00:00, 340.65 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 37%|███▋ | 93/250 [00:00<00:00, 340.86 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 38%|███▊ | 94/250 [00:00<00:00, 341.12 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 38%|███▊ | 95/250 [00:00<00:00, 341.30 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 38%|███▊ | 96/250 [00:00<00:00, 341.50 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 39%|███▉ | 97/250 [00:00<00:00, 341.69 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 39%|███▉ | 98/250 [00:00<00:00, 341.93 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 40%|███▉ | 99/250 [00:00<00:00, 342.08 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 40%|████ | 100/250 [00:00<00:00, 342.25 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 40%|████ | 101/250 [00:00<00:00, 342.43 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 41%|████ | 102/250 [00:00<00:00, 342.72 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 41%|████ | 103/250 [00:00<00:00, 341.23 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 42%|████▏ | 104/250 [00:00<00:00, 341.22 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 42%|████▏ | 105/250 [00:00<00:00, 341.21 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 42%|████▏ | 106/250 [00:00<00:00, 341.25 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 43%|████▎ | 107/250 [00:00<00:00, 341.30 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 43%|████▎ | 108/250 [00:00<00:00, 341.30 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 44%|████▎ | 109/250 [00:00<00:00, 341.35 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 44%|████▍ | 110/250 [00:00<00:00, 341.32 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 44%|████▍ | 111/250 [00:00<00:00, 341.32 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 45%|████▍ | 112/250 [00:00<00:00, 341.35 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 45%|████▌ | 113/250 [00:00<00:00, 341.37 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 46%|████▌ | 114/250 [00:00<00:00, 341.37 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 46%|████▌ | 115/250 [00:00<00:00, 341.58 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 46%|████▋ | 116/250 [00:00<00:00, 341.59 it/sec, feas=True, obj=0.179]
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INFO - 10:04:30: 47%|████▋ | 118/250 [00:00<00:00, 341.59 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 48%|████▊ | 119/250 [00:00<00:00, 341.62 it/sec, feas=True, obj=0.18]
INFO - 10:04:30: 48%|████▊ | 120/250 [00:00<00:00, 341.60 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 48%|████▊ | 121/250 [00:00<00:00, 341.43 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 49%|████▉ | 122/250 [00:00<00:00, 341.49 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 49%|████▉ | 123/250 [00:00<00:00, 341.46 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 50%|████▉ | 124/250 [00:00<00:00, 341.47 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 50%|█████ | 125/250 [00:00<00:00, 341.43 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 50%|█████ | 126/250 [00:00<00:00, 341.61 it/sec, feas=True, obj=0.18]
INFO - 10:04:30: 51%|█████ | 127/250 [00:00<00:00, 341.75 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 51%|█████ | 128/250 [00:00<00:00, 341.89 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 52%|█████▏ | 129/250 [00:00<00:00, 342.01 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 52%|█████▏ | 130/250 [00:00<00:00, 342.19 it/sec, feas=True, obj=0.18]
INFO - 10:04:30: 52%|█████▏ | 131/250 [00:00<00:00, 342.34 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 53%|█████▎ | 132/250 [00:00<00:00, 342.48 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 53%|█████▎ | 133/250 [00:00<00:00, 342.63 it/sec, feas=True, obj=0.18]
INFO - 10:04:30: 54%|█████▎ | 134/250 [00:00<00:00, 342.71 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 54%|█████▍ | 135/250 [00:00<00:00, 342.84 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 54%|█████▍ | 136/250 [00:00<00:00, 342.77 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 55%|█████▍ | 137/250 [00:00<00:00, 342.94 it/sec, feas=True, obj=0.18]
INFO - 10:04:30: 55%|█████▌ | 138/250 [00:00<00:00, 343.02 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 56%|█████▌ | 139/250 [00:00<00:00, 343.15 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 56%|█████▌ | 140/250 [00:00<00:00, 343.26 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 56%|█████▋ | 141/250 [00:00<00:00, 343.42 it/sec, feas=True, obj=0.181]
INFO - 10:04:30: 57%|█████▋ | 142/250 [00:00<00:00, 343.52 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 57%|█████▋ | 143/250 [00:00<00:00, 343.66 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 58%|█████▊ | 144/250 [00:00<00:00, 343.66 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 58%|█████▊ | 145/250 [00:00<00:00, 343.72 it/sec, feas=True, obj=0.181]
INFO - 10:04:30: 58%|█████▊ | 146/250 [00:00<00:00, 342.90 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 59%|█████▉ | 147/250 [00:00<00:00, 343.05 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 59%|█████▉ | 148/250 [00:00<00:00, 342.75 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 60%|█████▉ | 149/250 [00:00<00:00, 342.71 it/sec, feas=True, obj=0.182]
INFO - 10:04:30: 60%|██████ | 150/250 [00:00<00:00, 342.85 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 60%|██████ | 151/250 [00:00<00:00, 342.98 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 61%|██████ | 152/250 [00:00<00:00, 342.48 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 61%|██████ | 153/250 [00:00<00:00, 342.61 it/sec, feas=True, obj=0.18]
INFO - 10:04:30: 62%|██████▏ | 154/250 [00:00<00:00, 342.72 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 62%|██████▏ | 155/250 [00:00<00:00, 342.74 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 62%|██████▏ | 156/250 [00:00<00:00, 342.75 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 63%|██████▎ | 157/250 [00:00<00:00, 342.86 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 63%|██████▎ | 158/250 [00:00<00:00, 342.95 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 64%|██████▎ | 159/250 [00:00<00:00, 343.06 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 64%|██████▍ | 160/250 [00:00<00:00, 343.16 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 64%|██████▍ | 161/250 [00:00<00:00, 343.29 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 65%|██████▍ | 162/250 [00:00<00:00, 343.39 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 65%|██████▌ | 163/250 [00:00<00:00, 341.85 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 66%|██████▌ | 164/250 [00:00<00:00, 342.00 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 66%|██████▌ | 165/250 [00:00<00:00, 342.08 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 66%|██████▋ | 166/250 [00:00<00:00, 342.08 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 67%|██████▋ | 167/250 [00:00<00:00, 341.64 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 67%|██████▋ | 168/250 [00:00<00:00, 341.79 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 68%|██████▊ | 169/250 [00:00<00:00, 341.87 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 68%|██████▊ | 170/250 [00:00<00:00, 341.54 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 68%|██████▊ | 171/250 [00:00<00:00, 341.49 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 69%|██████▉ | 172/250 [00:00<00:00, 341.57 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 69%|██████▉ | 173/250 [00:00<00:00, 341.65 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 70%|██████▉ | 174/250 [00:00<00:00, 341.67 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 70%|███████ | 175/250 [00:00<00:00, 341.74 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 70%|███████ | 176/250 [00:00<00:00, 341.86 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 71%|███████ | 177/250 [00:00<00:00, 341.98 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 71%|███████ | 178/250 [00:00<00:00, 341.98 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 72%|███████▏ | 179/250 [00:00<00:00, 341.99 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 72%|███████▏ | 180/250 [00:00<00:00, 342.00 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 72%|███████▏ | 181/250 [00:00<00:00, 341.99 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 73%|███████▎ | 182/250 [00:00<00:00, 341.96 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 73%|███████▎ | 183/250 [00:00<00:00, 341.93 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 74%|███████▎ | 184/250 [00:00<00:00, 342.03 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 74%|███████▍ | 185/250 [00:00<00:00, 342.10 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 74%|███████▍ | 186/250 [00:00<00:00, 342.21 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 75%|███████▍ | 187/250 [00:00<00:00, 342.29 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 75%|███████▌ | 188/250 [00:00<00:00, 342.29 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 76%|███████▌ | 189/250 [00:00<00:00, 342.29 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 76%|███████▌ | 190/250 [00:00<00:00, 342.31 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 76%|███████▋ | 191/250 [00:00<00:00, 342.41 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 77%|███████▋ | 192/250 [00:00<00:00, 342.52 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 77%|███████▋ | 193/250 [00:00<00:00, 342.52 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 78%|███████▊ | 194/250 [00:00<00:00, 342.60 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 78%|███████▊ | 195/250 [00:00<00:00, 342.62 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 78%|███████▊ | 196/250 [00:00<00:00, 342.60 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 79%|███████▉ | 197/250 [00:00<00:00, 342.67 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 79%|███████▉ | 198/250 [00:00<00:00, 342.81 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 80%|███████▉ | 199/250 [00:00<00:00, 342.80 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 80%|████████ | 200/250 [00:00<00:00, 342.80 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 80%|████████ | 201/250 [00:00<00:00, 342.79 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 81%|████████ | 202/250 [00:00<00:00, 342.80 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 81%|████████ | 203/250 [00:00<00:00, 342.79 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 82%|████████▏ | 204/250 [00:00<00:00, 342.88 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 82%|████████▏ | 205/250 [00:00<00:00, 342.98 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 82%|████████▏ | 206/250 [00:00<00:00, 343.06 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 83%|████████▎ | 207/250 [00:00<00:00, 343.12 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 83%|████████▎ | 208/250 [00:00<00:00, 343.16 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 84%|████████▎ | 209/250 [00:00<00:00, 343.24 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 84%|████████▍ | 210/250 [00:00<00:00, 343.32 it/sec, feas=True, obj=0.187]
INFO - 10:04:30: 84%|████████▍ | 211/250 [00:00<00:00, 342.11 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 85%|████████▍ | 212/250 [00:00<00:00, 342.20 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 85%|████████▌ | 213/250 [00:00<00:00, 342.28 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 86%|████████▌ | 214/250 [00:00<00:00, 342.34 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 86%|████████▌ | 215/250 [00:00<00:00, 342.43 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 86%|████████▋ | 216/250 [00:00<00:00, 342.47 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 87%|████████▋ | 217/250 [00:00<00:00, 342.56 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 87%|████████▋ | 218/250 [00:00<00:00, 342.63 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 88%|████████▊ | 219/250 [00:00<00:00, 342.70 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 88%|████████▊ | 220/250 [00:00<00:00, 342.28 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 88%|████████▊ | 221/250 [00:00<00:00, 342.39 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 89%|████████▉ | 222/250 [00:00<00:00, 342.45 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 89%|████████▉ | 223/250 [00:00<00:00, 342.52 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 90%|████████▉ | 224/250 [00:00<00:00, 342.60 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 90%|█████████ | 225/250 [00:00<00:00, 342.70 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 90%|█████████ | 226/250 [00:00<00:00, 342.77 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 91%|█████████ | 227/250 [00:00<00:00, 342.83 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 91%|█████████ | 228/250 [00:00<00:00, 342.94 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 92%|█████████▏| 229/250 [00:00<00:00, 342.94 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 92%|█████████▏| 230/250 [00:00<00:00, 342.98 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 92%|█████████▏| 231/250 [00:00<00:00, 343.05 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 93%|█████████▎| 232/250 [00:00<00:00, 343.12 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 93%|█████████▎| 233/250 [00:00<00:00, 343.22 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 94%|█████████▎| 234/250 [00:00<00:00, 343.31 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 94%|█████████▍| 235/250 [00:00<00:00, 343.38 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 94%|█████████▍| 236/250 [00:00<00:00, 343.44 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 95%|█████████▍| 237/250 [00:00<00:00, 343.51 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 95%|█████████▌| 238/250 [00:00<00:00, 343.57 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 96%|█████████▌| 239/250 [00:00<00:00, 343.65 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 96%|█████████▌| 240/250 [00:00<00:00, 343.70 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 96%|█████████▋| 241/250 [00:00<00:00, 343.76 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 97%|█████████▋| 242/250 [00:00<00:00, 343.86 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 97%|█████████▋| 243/250 [00:00<00:00, 343.95 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 98%|█████████▊| 244/250 [00:00<00:00, 344.01 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 98%|█████████▊| 245/250 [00:00<00:00, 344.07 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 98%|█████████▊| 246/250 [00:00<00:00, 344.09 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 99%|█████████▉| 247/250 [00:00<00:00, 344.08 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 99%|█████████▉| 248/250 [00:00<00:00, 343.11 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 100%|█████████▉| 249/250 [00:00<00:00, 343.06 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 100%|██████████| 250/250 [00:00<00:00, 343.09 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: Optimization result:
INFO - 10:04:30: Optimizer info:
INFO - 10:04:30: Status: None
INFO - 10:04:30: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 10:04:30: Solution:
INFO - 10:04:30: Objective: 0.17873103795593864
INFO - 10:04:30: Design space:
INFO - 10:04:30: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:30: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:30: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:30: | left_asymptote | 0 | 0.00239179108425579 | 0.004875718376259649 | float |
INFO - 10:04:30: | capacity | 0.001670093229640868 | 0.006199970161000415 | 0.04875718376259649 | float |
INFO - 10:04:30: | growth_rate | 0.0003701647852990702 | 0.001900438800462 | 0.003331483067691632 | float |
INFO - 10:04:30: | x_lag | 0 | 3472.38083136442 | 3472.380831364421 | float |
INFO - 10:04:30: | logistic_nu | 0.1 | 1.743967109556743 | 10 | float |
INFO - 10:04:30: | asymptote_coeff | 0.1 | 1.511514303083136 | 10 | float |
INFO - 10:04:30: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:30: Optimization problem:
INFO - 10:04:30: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:30: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:30: over the design space:
INFO - 10:04:30: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:30: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:30: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:30: | left_asymptote | 0 | 0.003793607937017583 | 0.004875718376259649 | float |
INFO - 10:04:30: | capacity | 0.001670093229640868 | 0.01782579863517453 | 0.04875718376259649 | float |
INFO - 10:04:30: | growth_rate | 0.0003701647852990702 | 0.001046895694941301 | 0.003331483067691632 | float |
INFO - 10:04:30: | x_lag | 0 | 598.1948638197015 | 3472.380831364421 | float |
INFO - 10:04:30: | logistic_nu | 0.1 | 4.260096820785328 | 10 | float |
INFO - 10:04:30: | asymptote_coeff | 0.1 | 9.734456184588874 | 10 | float |
INFO - 10:04:30: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:30: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:30: 1%| | 2/250 [00:00<00:00, 380.38 it/sec, feas=True, obj=0.855]
INFO - 10:04:30: 1%| | 3/250 [00:00<00:00, 394.54 it/sec, feas=True, obj=0.433]
INFO - 10:04:30: 2%|▏ | 4/250 [00:00<00:00, 388.16 it/sec, feas=True, obj=3.37]
INFO - 10:04:30: 2%|▏ | 5/250 [00:00<00:00, 330.16 it/sec, feas=True, obj=0.309]
INFO - 10:04:30: 2%|▏ | 6/250 [00:00<00:00, 327.71 it/sec, feas=True, obj=1.47]
INFO - 10:04:30: 3%|▎ | 7/250 [00:00<00:00, 329.35 it/sec, feas=True, obj=0.268]
INFO - 10:04:30: 3%|▎ | 8/250 [00:00<00:00, 332.09 it/sec, feas=True, obj=0.769]
INFO - 10:04:30: 4%|▎ | 9/250 [00:00<00:00, 335.33 it/sec, feas=True, obj=0.267]
INFO - 10:04:30: 4%|▍ | 10/250 [00:00<00:00, 338.13 it/sec, feas=True, obj=0.267]
INFO - 10:04:30: 4%|▍ | 11/250 [00:00<00:00, 340.73 it/sec, feas=True, obj=0.266]
INFO - 10:04:30: 5%|▍ | 12/250 [00:00<00:00, 343.19 it/sec, feas=True, obj=0.266]
INFO - 10:04:30: 5%|▌ | 13/250 [00:00<00:00, 344.84 it/sec, feas=True, obj=0.261]
INFO - 10:04:30: 6%|▌ | 14/250 [00:00<00:00, 346.22 it/sec, feas=True, obj=0.255]
INFO - 10:04:30: 6%|▌ | 15/250 [00:00<00:00, 347.41 it/sec, feas=True, obj=0.266]
INFO - 10:04:30: 6%|▋ | 16/250 [00:00<00:00, 339.12 it/sec, feas=True, obj=0.255]
INFO - 10:04:30: 7%|▋ | 17/250 [00:00<00:00, 340.73 it/sec, feas=True, obj=0.255]
INFO - 10:04:30: 7%|▋ | 18/250 [00:00<00:00, 341.92 it/sec, feas=True, obj=0.255]
INFO - 10:04:30: 8%|▊ | 19/250 [00:00<00:00, 342.99 it/sec, feas=True, obj=0.388]
INFO - 10:04:30: 8%|▊ | 20/250 [00:00<00:00, 343.93 it/sec, feas=True, obj=0.254]
INFO - 10:04:30: 8%|▊ | 21/250 [00:00<00:00, 344.25 it/sec, feas=True, obj=0.252]
INFO - 10:04:30: 9%|▉ | 22/250 [00:00<00:00, 345.17 it/sec, feas=True, obj=0.261]
INFO - 10:04:30: 9%|▉ | 23/250 [00:00<00:00, 345.78 it/sec, feas=True, obj=0.251]
INFO - 10:04:30: 10%|▉ | 24/250 [00:00<00:00, 346.63 it/sec, feas=True, obj=0.985]
INFO - 10:04:30: 10%|█ | 25/250 [00:00<00:00, 347.63 it/sec, feas=True, obj=0.251]
INFO - 10:04:30: 10%|█ | 26/250 [00:00<00:00, 348.32 it/sec, feas=True, obj=0.428]
INFO - 10:04:30: 11%|█ | 27/250 [00:00<00:00, 348.92 it/sec, feas=True, obj=0.249]
INFO - 10:04:30: 11%|█ | 28/250 [00:00<00:00, 349.43 it/sec, feas=True, obj=0.247]
INFO - 10:04:30: 12%|█▏ | 29/250 [00:00<00:00, 349.28 it/sec, feas=True, obj=1]
INFO - 10:04:30: 12%|█▏ | 30/250 [00:00<00:00, 349.55 it/sec, feas=True, obj=0.247]
INFO - 10:04:30: 12%|█▏ | 31/250 [00:00<00:00, 349.60 it/sec, feas=True, obj=1]
INFO - 10:04:30: 13%|█▎ | 32/250 [00:00<00:00, 349.95 it/sec, feas=True, obj=0.246]
INFO - 10:04:30: 13%|█▎ | 33/250 [00:00<00:00, 350.51 it/sec, feas=True, obj=1]
INFO - 10:04:30: 14%|█▎ | 34/250 [00:00<00:00, 351.12 it/sec, feas=True, obj=0.246]
INFO - 10:04:30: 14%|█▍ | 35/250 [00:00<00:00, 351.48 it/sec, feas=True, obj=0.594]
INFO - 10:04:30: 14%|█▍ | 36/250 [00:00<00:00, 351.89 it/sec, feas=True, obj=0.244]
INFO - 10:04:30: 15%|█▍ | 37/250 [00:00<00:00, 352.43 it/sec, feas=True, obj=0.241]
INFO - 10:04:30: 15%|█▌ | 38/250 [00:00<00:00, 352.88 it/sec, feas=True, obj=0.282]
INFO - 10:04:30: 16%|█▌ | 39/250 [00:00<00:00, 353.17 it/sec, feas=True, obj=0.237]
INFO - 10:04:30: 16%|█▌ | 40/250 [00:00<00:00, 350.14 it/sec, feas=True, obj=0.236]
INFO - 10:04:30: 16%|█▋ | 41/250 [00:00<00:00, 350.30 it/sec, feas=True, obj=0.438]
INFO - 10:04:30: 17%|█▋ | 42/250 [00:00<00:00, 349.65 it/sec, feas=True, obj=0.234]
INFO - 10:04:30: 17%|█▋ | 43/250 [00:00<00:00, 350.02 it/sec, feas=True, obj=0.941]
INFO - 10:04:30: 18%|█▊ | 44/250 [00:00<00:00, 349.95 it/sec, feas=True, obj=0.233]
INFO - 10:04:30: 18%|█▊ | 45/250 [00:00<00:00, 349.87 it/sec, feas=True, obj=0.422]
INFO - 10:04:30: 18%|█▊ | 46/250 [00:00<00:00, 350.05 it/sec, feas=True, obj=0.229]
INFO - 10:04:30: 19%|█▉ | 47/250 [00:00<00:00, 350.14 it/sec, feas=True, obj=0.227]
INFO - 10:04:30: 19%|█▉ | 48/250 [00:00<00:00, 350.48 it/sec, feas=True, obj=0.739]
INFO - 10:04:30: 20%|█▉ | 49/250 [00:00<00:00, 350.66 it/sec, feas=True, obj=0.222]
INFO - 10:04:30: 20%|██ | 50/250 [00:00<00:00, 350.80 it/sec, feas=True, obj=0.213]
INFO - 10:04:30: 20%|██ | 51/250 [00:00<00:00, 351.12 it/sec, feas=True, obj=0.751]
INFO - 10:04:30: 21%|██ | 52/250 [00:00<00:00, 351.35 it/sec, feas=True, obj=0.21]
INFO - 10:04:30: 21%|██ | 53/250 [00:00<00:00, 351.55 it/sec, feas=True, obj=0.207]
INFO - 10:04:30: 22%|██▏ | 54/250 [00:00<00:00, 351.68 it/sec, feas=True, obj=0.206]
INFO - 10:04:30: 22%|██▏ | 55/250 [00:00<00:00, 347.71 it/sec, feas=True, obj=0.205]
INFO - 10:04:30: 22%|██▏ | 56/250 [00:00<00:00, 348.01 it/sec, feas=True, obj=0.353]
INFO - 10:04:30: 23%|██▎ | 57/250 [00:00<00:00, 348.15 it/sec, feas=True, obj=0.205]
INFO - 10:04:30: 23%|██▎ | 58/250 [00:00<00:00, 348.30 it/sec, feas=True, obj=0.206]
INFO - 10:04:30: 24%|██▎ | 59/250 [00:00<00:00, 348.37 it/sec, feas=True, obj=0.203]
INFO - 10:04:30: 24%|██▍ | 60/250 [00:00<00:00, 348.36 it/sec, feas=True, obj=0.201]
INFO - 10:04:30: 24%|██▍ | 61/250 [00:00<00:00, 348.16 it/sec, feas=True, obj=0.201]
INFO - 10:04:30: 25%|██▍ | 62/250 [00:00<00:00, 348.30 it/sec, feas=True, obj=0.197]
INFO - 10:04:30: 25%|██▌ | 63/250 [00:00<00:00, 348.49 it/sec, feas=True, obj=0.202]
INFO - 10:04:30: 26%|██▌ | 64/250 [00:00<00:00, 348.51 it/sec, feas=True, obj=0.196]
INFO - 10:04:30: 26%|██▌ | 65/250 [00:00<00:00, 348.56 it/sec, feas=True, obj=0.191]
INFO - 10:04:30: 26%|██▋ | 66/250 [00:00<00:00, 348.67 it/sec, feas=True, obj=0.185]
INFO - 10:04:30: 27%|██▋ | 67/250 [00:00<00:00, 348.56 it/sec, feas=True, obj=0.182]
INFO - 10:04:30: 27%|██▋ | 68/250 [00:00<00:00, 348.87 it/sec, feas=True, obj=0.184]
INFO - 10:04:30: 28%|██▊ | 69/250 [00:00<00:00, 349.02 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 28%|██▊ | 70/250 [00:00<00:00, 349.25 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 28%|██▊ | 71/250 [00:00<00:00, 349.45 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 29%|██▉ | 72/250 [00:00<00:00, 345.84 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 29%|██▉ | 73/250 [00:00<00:00, 346.02 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 30%|██▉ | 74/250 [00:00<00:00, 346.08 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 30%|███ | 75/250 [00:00<00:00, 346.11 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 30%|███ | 76/250 [00:00<00:00, 345.97 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 31%|███ | 77/250 [00:00<00:00, 345.85 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 31%|███ | 78/250 [00:00<00:00, 345.79 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 32%|███▏ | 79/250 [00:00<00:00, 345.78 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 32%|███▏ | 80/250 [00:00<00:00, 345.96 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 32%|███▏ | 81/250 [00:00<00:00, 345.92 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 33%|███▎ | 82/250 [00:00<00:00, 345.62 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 33%|███▎ | 83/250 [00:00<00:00, 345.46 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 34%|███▎ | 84/250 [00:00<00:00, 345.35 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 34%|███▍ | 85/250 [00:00<00:00, 345.13 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 34%|███▍ | 86/250 [00:00<00:00, 345.25 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 35%|███▍ | 87/250 [00:00<00:00, 345.26 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 35%|███▌ | 88/250 [00:00<00:00, 345.40 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 36%|███▌ | 89/250 [00:00<00:00, 345.33 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 36%|███▌ | 90/250 [00:00<00:00, 345.49 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 36%|███▋ | 91/250 [00:00<00:00, 345.14 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 37%|███▋ | 92/250 [00:00<00:00, 345.10 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 37%|███▋ | 93/250 [00:00<00:00, 345.27 it/sec, feas=True, obj=0.186]
INFO - 10:04:30: 38%|███▊ | 94/250 [00:00<00:00, 345.41 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 38%|███▊ | 95/250 [00:00<00:00, 345.64 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 38%|███▊ | 96/250 [00:00<00:00, 345.79 it/sec, feas=True, obj=0.185]
INFO - 10:04:30: 39%|███▉ | 97/250 [00:00<00:00, 345.74 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 39%|███▉ | 98/250 [00:00<00:00, 345.92 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 40%|███▉ | 99/250 [00:00<00:00, 346.12 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 40%|████ | 100/250 [00:00<00:00, 346.11 it/sec, feas=True, obj=0.186]
INFO - 10:04:30: 40%|████ | 101/250 [00:00<00:00, 346.12 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 41%|████ | 102/250 [00:00<00:00, 346.14 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 41%|████ | 103/250 [00:00<00:00, 345.80 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 42%|████▏ | 104/250 [00:00<00:00, 345.93 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 42%|████▏ | 105/250 [00:00<00:00, 345.91 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 42%|████▏ | 106/250 [00:00<00:00, 346.05 it/sec, feas=True, obj=0.235]
INFO - 10:04:30: 43%|████▎ | 107/250 [00:00<00:00, 346.15 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 43%|████▎ | 108/250 [00:00<00:00, 346.26 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 44%|████▎ | 109/250 [00:00<00:00, 346.24 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 44%|████▍ | 110/250 [00:00<00:00, 346.15 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 44%|████▍ | 111/250 [00:00<00:00, 346.22 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 45%|████▍ | 112/250 [00:00<00:00, 346.35 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 45%|████▌ | 113/250 [00:00<00:00, 346.44 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 46%|████▌ | 114/250 [00:00<00:00, 346.32 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 46%|████▌ | 115/250 [00:00<00:00, 346.29 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 46%|████▋ | 116/250 [00:00<00:00, 344.00 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 47%|████▋ | 117/250 [00:00<00:00, 343.96 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 47%|████▋ | 118/250 [00:00<00:00, 344.14 it/sec, feas=True, obj=0.334]
INFO - 10:04:30: 48%|████▊ | 119/250 [00:00<00:00, 344.30 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 48%|████▊ | 120/250 [00:00<00:00, 344.38 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 48%|████▊ | 121/250 [00:00<00:00, 344.52 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 49%|████▉ | 122/250 [00:00<00:00, 344.67 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 49%|████▉ | 123/250 [00:00<00:00, 344.76 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 50%|████▉ | 124/250 [00:00<00:00, 344.73 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 50%|█████ | 125/250 [00:00<00:00, 344.67 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 50%|█████ | 126/250 [00:00<00:00, 344.68 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 51%|█████ | 127/250 [00:00<00:00, 344.59 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 51%|█████ | 128/250 [00:00<00:00, 344.57 it/sec, feas=True, obj=0.18]
INFO - 10:04:30: 52%|█████▏ | 129/250 [00:00<00:00, 344.62 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 52%|█████▏ | 130/250 [00:00<00:00, 344.62 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 52%|█████▏ | 131/250 [00:00<00:00, 343.67 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 53%|█████▎ | 132/250 [00:00<00:00, 343.82 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 53%|█████▎ | 133/250 [00:00<00:00, 343.92 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 54%|█████▎ | 134/250 [00:00<00:00, 344.01 it/sec, feas=True, obj=0.179]
INFO - 10:04:30: 54%|█████▍ | 135/250 [00:00<00:00, 344.12 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 54%|█████▍ | 136/250 [00:00<00:00, 344.29 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 55%|█████▍ | 137/250 [00:00<00:00, 344.45 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 55%|█████▌ | 138/250 [00:00<00:00, 344.56 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 56%|█████▌ | 139/250 [00:00<00:00, 344.68 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 56%|█████▌ | 140/250 [00:00<00:00, 342.99 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 56%|█████▋ | 141/250 [00:00<00:00, 343.13 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 57%|█████▋ | 142/250 [00:00<00:00, 343.11 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 57%|█████▋ | 143/250 [00:00<00:00, 343.19 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 58%|█████▊ | 144/250 [00:00<00:00, 343.20 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 58%|█████▊ | 145/250 [00:00<00:00, 343.12 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 58%|█████▊ | 146/250 [00:00<00:00, 343.12 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 59%|█████▉ | 147/250 [00:00<00:00, 343.21 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 59%|█████▉ | 148/250 [00:00<00:00, 343.36 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 60%|█████▉ | 149/250 [00:00<00:00, 343.30 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 60%|██████ | 150/250 [00:00<00:00, 343.11 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 60%|██████ | 151/250 [00:00<00:00, 343.18 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 61%|██████ | 152/250 [00:00<00:00, 343.20 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 61%|██████ | 153/250 [00:00<00:00, 343.18 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 62%|██████▏ | 154/250 [00:00<00:00, 343.21 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 62%|██████▏ | 155/250 [00:00<00:00, 343.18 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 62%|██████▏ | 156/250 [00:00<00:00, 343.27 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 63%|██████▎ | 157/250 [00:00<00:00, 343.34 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 63%|██████▎ | 158/250 [00:00<00:00, 343.46 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 64%|██████▎ | 159/250 [00:00<00:00, 343.42 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 64%|██████▍ | 160/250 [00:00<00:00, 343.53 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 64%|██████▍ | 161/250 [00:00<00:00, 338.09 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 65%|██████▍ | 162/250 [00:00<00:00, 338.26 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 65%|██████▌ | 163/250 [00:00<00:00, 336.30 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 66%|██████▌ | 164/250 [00:00<00:00, 335.86 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 66%|██████▌ | 165/250 [00:00<00:00, 336.00 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 66%|██████▋ | 166/250 [00:00<00:00, 336.13 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 67%|██████▋ | 167/250 [00:00<00:00, 336.13 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 67%|██████▋ | 168/250 [00:00<00:00, 336.15 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 68%|██████▊ | 169/250 [00:00<00:00, 336.17 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 68%|██████▊ | 170/250 [00:00<00:00, 336.28 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 68%|██████▊ | 171/250 [00:00<00:00, 336.30 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 69%|██████▉ | 172/250 [00:00<00:00, 336.37 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 69%|██████▉ | 173/250 [00:00<00:00, 336.38 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 70%|██████▉ | 174/250 [00:00<00:00, 336.44 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 70%|███████ | 175/250 [00:00<00:00, 336.53 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 70%|███████ | 176/250 [00:00<00:00, 336.55 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 71%|███████ | 177/250 [00:00<00:00, 336.57 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 71%|███████ | 178/250 [00:00<00:00, 336.58 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 72%|███████▏ | 179/250 [00:00<00:00, 336.70 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 72%|███████▏ | 180/250 [00:00<00:00, 335.70 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 72%|███████▏ | 181/250 [00:00<00:00, 335.83 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 73%|███████▎ | 182/250 [00:00<00:00, 335.87 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 73%|███████▎ | 183/250 [00:00<00:00, 335.89 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 74%|███████▎ | 184/250 [00:00<00:00, 335.68 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 74%|███████▍ | 185/250 [00:00<00:00, 335.70 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 74%|███████▍ | 186/250 [00:00<00:00, 335.80 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 75%|███████▍ | 187/250 [00:00<00:00, 335.84 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 75%|███████▌ | 188/250 [00:00<00:00, 335.92 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 76%|███████▌ | 189/250 [00:00<00:00, 335.94 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 76%|███████▌ | 190/250 [00:00<00:00, 336.00 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 76%|███████▋ | 191/250 [00:00<00:00, 336.08 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 77%|███████▋ | 192/250 [00:00<00:00, 336.23 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 77%|███████▋ | 193/250 [00:00<00:00, 336.26 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 78%|███████▊ | 194/250 [00:00<00:00, 336.32 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 78%|███████▊ | 195/250 [00:00<00:00, 336.30 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 78%|███████▊ | 196/250 [00:00<00:00, 336.31 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 79%|███████▉ | 197/250 [00:00<00:00, 336.31 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 79%|███████▉ | 198/250 [00:00<00:00, 336.35 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 80%|███████▉ | 199/250 [00:00<00:00, 336.38 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 80%|████████ | 200/250 [00:00<00:00, 336.39 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 80%|████████ | 201/250 [00:00<00:00, 336.48 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 81%|████████ | 202/250 [00:00<00:00, 336.57 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 81%|████████ | 203/250 [00:00<00:00, 336.69 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 82%|████████▏ | 204/250 [00:00<00:00, 336.80 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 82%|████████▏ | 205/250 [00:00<00:00, 336.88 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 82%|████████▏ | 206/250 [00:00<00:00, 336.98 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 83%|████████▎ | 207/250 [00:00<00:00, 337.05 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 83%|████████▎ | 208/250 [00:00<00:00, 337.17 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 84%|████████▎ | 209/250 [00:00<00:00, 337.26 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 84%|████████▍ | 210/250 [00:00<00:00, 337.37 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 84%|████████▍ | 211/250 [00:00<00:00, 337.46 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 85%|████████▍ | 212/250 [00:00<00:00, 337.57 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 85%|████████▌ | 213/250 [00:00<00:00, 337.69 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 86%|████████▌ | 214/250 [00:00<00:00, 337.77 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 86%|████████▌ | 215/250 [00:00<00:00, 337.86 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 86%|████████▋ | 216/250 [00:00<00:00, 338.01 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 87%|████████▋ | 217/250 [00:00<00:00, 338.12 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 87%|████████▋ | 218/250 [00:00<00:00, 338.20 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 88%|████████▊ | 219/250 [00:00<00:00, 337.37 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 88%|████████▊ | 220/250 [00:00<00:00, 337.47 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 88%|████████▊ | 221/250 [00:00<00:00, 337.56 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 89%|████████▉ | 222/250 [00:00<00:00, 337.63 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 89%|████████▉ | 223/250 [00:00<00:00, 337.72 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 90%|████████▉ | 224/250 [00:00<00:00, 337.27 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 90%|█████████ | 225/250 [00:00<00:00, 337.28 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 90%|█████████ | 226/250 [00:00<00:00, 337.37 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 91%|█████████ | 227/250 [00:00<00:00, 337.45 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 91%|█████████ | 228/250 [00:00<00:00, 337.48 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 92%|█████████▏| 229/250 [00:00<00:00, 337.56 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 92%|█████████▏| 230/250 [00:00<00:00, 337.63 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 92%|█████████▏| 231/250 [00:00<00:00, 337.74 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 93%|█████████▎| 232/250 [00:00<00:00, 337.74 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 93%|█████████▎| 233/250 [00:00<00:00, 337.82 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 94%|█████████▎| 234/250 [00:00<00:00, 337.82 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 94%|█████████▍| 235/250 [00:00<00:00, 337.90 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 94%|█████████▍| 236/250 [00:00<00:00, 337.98 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 95%|█████████▍| 237/250 [00:00<00:00, 337.03 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 95%|█████████▌| 238/250 [00:00<00:00, 337.11 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 96%|█████████▌| 239/250 [00:00<00:00, 337.12 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 96%|█████████▌| 240/250 [00:00<00:00, 337.13 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 96%|█████████▋| 241/250 [00:00<00:00, 337.15 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 97%|█████████▋| 242/250 [00:00<00:00, 337.23 it/sec, feas=True, obj=0.183]
INFO - 10:04:31: 97%|█████████▋| 243/250 [00:00<00:00, 337.25 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 98%|█████████▊| 244/250 [00:00<00:00, 337.32 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 98%|█████████▊| 245/250 [00:00<00:00, 337.41 it/sec, feas=True, obj=0.208]
INFO - 10:04:31: 98%|█████████▊| 246/250 [00:00<00:00, 337.50 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 99%|█████████▉| 247/250 [00:00<00:00, 337.59 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 99%|█████████▉| 248/250 [00:00<00:00, 337.67 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 100%|█████████▉| 249/250 [00:00<00:00, 337.76 it/sec, feas=True, obj=0.234]
INFO - 10:04:31: 100%|██████████| 250/250 [00:00<00:00, 337.86 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: Optimization result:
INFO - 10:04:31: Optimizer info:
INFO - 10:04:31: Status: None
INFO - 10:04:31: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 10:04:31: Solution:
INFO - 10:04:31: Objective: 0.17870217009830253
INFO - 10:04:31: Design space:
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | left_asymptote | 0 | 0.002323760680826955 | 0.004875718376259649 | float |
INFO - 10:04:31: | capacity | 0.001670093229640868 | 0.005219025060646844 | 0.04875718376259649 | float |
INFO - 10:04:31: | growth_rate | 0.0003701647852990702 | 0.003331483067691632 | 0.003331483067691632 | float |
INFO - 10:04:31: | x_lag | 0 | 3467.479104184331 | 3472.380831364421 | float |
INFO - 10:04:31: | logistic_nu | 0.1 | 3.77618247203891 | 10 | float |
INFO - 10:04:31: | asymptote_coeff | 0.1 | 1.359940119242844 | 10 | float |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: Optimization problem:
INFO - 10:04:31: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:31: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:31: over the design space:
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | left_asymptote | 0 | 0.001964305181043641 | 0.004875718376259649 | float |
INFO - 10:04:31: | capacity | 0.001670093229640868 | 0.02532111282153263 | 0.04875718376259649 | float |
INFO - 10:04:31: | growth_rate | 0.0003701647852990702 | 0.002187564241138948 | 0.003331483067691632 | float |
INFO - 10:04:31: | x_lag | 0 | 65.54185940311277 | 3472.380831364421 | float |
INFO - 10:04:31: | logistic_nu | 0.1 | 2.587510942749914 | 10 | float |
INFO - 10:04:31: | asymptote_coeff | 0.1 | 0.7930309738998174 | 10 | float |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:31: 1%| | 2/250 [00:00<00:00, 382.71 it/sec, feas=True, obj=0.457]
INFO - 10:04:31: 1%| | 3/250 [00:00<00:00, 315.72 it/sec, feas=True, obj=1.92]
INFO - 10:04:31: 2%|▏ | 4/250 [00:00<00:00, 325.90 it/sec, feas=True, obj=0.271]
INFO - 10:04:31: 2%|▏ | 5/250 [00:00<00:00, 332.99 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: 2%|▏ | 6/250 [00:00<00:00, 337.74 it/sec, feas=True, obj=0.268]
INFO - 10:04:31: 3%|▎ | 7/250 [00:00<00:00, 341.80 it/sec, feas=True, obj=0.268]
INFO - 10:04:31: 3%|▎ | 8/250 [00:00<00:00, 343.77 it/sec, feas=True, obj=0.268]
INFO - 10:04:31: 4%|▎ | 9/250 [00:00<00:00, 346.03 it/sec, feas=True, obj=0.268]
INFO - 10:04:31: 4%|▍ | 10/250 [00:00<00:00, 311.29 it/sec, feas=True, obj=0.268]
INFO - 10:04:31: 4%|▍ | 11/250 [00:00<00:00, 313.79 it/sec, feas=True, obj=0.268]
INFO - 10:04:31: 5%|▍ | 12/250 [00:00<00:00, 316.00 it/sec, feas=True, obj=0.267]
INFO - 10:04:31: 5%|▌ | 13/250 [00:00<00:00, 317.78 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: 6%|▌ | 14/250 [00:00<00:00, 320.17 it/sec, feas=True, obj=0.266]
INFO - 10:04:31: 6%|▌ | 15/250 [00:00<00:00, 322.42 it/sec, feas=True, obj=0.265]
INFO - 10:04:31: 6%|▋ | 16/250 [00:00<00:00, 324.53 it/sec, feas=True, obj=0.262]
INFO - 10:04:31: 7%|▋ | 17/250 [00:00<00:00, 326.06 it/sec, feas=True, obj=0.219]
INFO - 10:04:31: 7%|▋ | 18/250 [00:00<00:00, 327.56 it/sec, feas=True, obj=0.188]
INFO - 10:04:31: 8%|▊ | 19/250 [00:00<00:00, 329.27 it/sec, feas=True, obj=0.204]
INFO - 10:04:31: 8%|▊ | 20/250 [00:00<00:00, 330.83 it/sec, feas=True, obj=0.187]
INFO - 10:04:31: 8%|▊ | 21/250 [00:00<00:00, 316.12 it/sec, feas=True, obj=0.187]
INFO - 10:04:31: 9%|▉ | 22/250 [00:00<00:00, 317.75 it/sec, feas=True, obj=0.187]
INFO - 10:04:31: 9%|▉ | 23/250 [00:00<00:00, 318.36 it/sec, feas=True, obj=0.187]
INFO - 10:04:31: 10%|▉ | 24/250 [00:00<00:00, 319.64 it/sec, feas=True, obj=0.187]
INFO - 10:04:31: 10%|█ | 25/250 [00:00<00:00, 320.76 it/sec, feas=True, obj=0.187]
INFO - 10:04:31: 10%|█ | 26/250 [00:00<00:00, 320.72 it/sec, feas=True, obj=0.187]
INFO - 10:04:31: 11%|█ | 27/250 [00:00<00:00, 321.34 it/sec, feas=True, obj=0.187]
INFO - 10:04:31: 11%|█ | 28/250 [00:00<00:00, 322.51 it/sec, feas=True, obj=0.186]
INFO - 10:04:31: 12%|█▏ | 29/250 [00:00<00:00, 323.70 it/sec, feas=True, obj=0.185]
INFO - 10:04:31: 12%|█▏ | 30/250 [00:00<00:00, 324.89 it/sec, feas=True, obj=0.192]
INFO - 10:04:31: 12%|█▏ | 31/250 [00:00<00:00, 325.30 it/sec, feas=True, obj=0.184]
INFO - 10:04:31: 13%|█▎ | 32/250 [00:00<00:00, 326.12 it/sec, feas=True, obj=0.191]
INFO - 10:04:31: 13%|█▎ | 33/250 [00:00<00:00, 326.41 it/sec, feas=True, obj=0.183]
INFO - 10:04:31: 14%|█▎ | 34/250 [00:00<00:00, 326.71 it/sec, feas=True, obj=0.183]
INFO - 10:04:31: 14%|█▍ | 35/250 [00:00<00:00, 326.90 it/sec, feas=True, obj=0.182]
INFO - 10:04:31: 14%|█▍ | 36/250 [00:00<00:00, 327.09 it/sec, feas=True, obj=0.181]
INFO - 10:04:31: 15%|█▍ | 37/250 [00:00<00:00, 327.33 it/sec, feas=True, obj=0.181]
INFO - 10:04:31: 15%|█▌ | 38/250 [00:00<00:00, 327.85 it/sec, feas=True, obj=0.181]
INFO - 10:04:31: 16%|█▌ | 39/250 [00:00<00:00, 328.49 it/sec, feas=True, obj=0.181]
INFO - 10:04:31: 16%|█▌ | 40/250 [00:00<00:00, 328.85 it/sec, feas=True, obj=0.181]
INFO - 10:04:31: 16%|█▋ | 41/250 [00:00<00:00, 329.09 it/sec, feas=True, obj=0.18]
INFO - 10:04:31: 17%|█▋ | 42/250 [00:00<00:00, 329.53 it/sec, feas=True, obj=0.18]
INFO - 10:04:31: 17%|█▋ | 43/250 [00:00<00:00, 329.88 it/sec, feas=True, obj=0.18]
INFO - 10:04:31: 18%|█▊ | 44/250 [00:00<00:00, 329.52 it/sec, feas=True, obj=0.182]
INFO - 10:04:31: 18%|█▊ | 45/250 [00:00<00:00, 329.63 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 18%|█▊ | 46/250 [00:00<00:00, 329.85 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 19%|█▉ | 47/250 [00:00<00:00, 330.37 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 19%|█▉ | 48/250 [00:00<00:00, 330.79 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 20%|█▉ | 49/250 [00:00<00:00, 331.28 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 20%|██ | 50/250 [00:00<00:00, 331.82 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 20%|██ | 51/250 [00:00<00:00, 332.23 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 21%|██ | 52/250 [00:00<00:00, 332.69 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 21%|██ | 53/250 [00:00<00:00, 333.13 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 22%|██▏ | 54/250 [00:00<00:00, 333.13 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 22%|██▏ | 55/250 [00:00<00:00, 332.77 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 22%|██▏ | 56/250 [00:00<00:00, 332.22 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 23%|██▎ | 57/250 [00:00<00:00, 332.26 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 23%|██▎ | 58/250 [00:00<00:00, 332.47 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 24%|██▎ | 59/250 [00:00<00:00, 332.64 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 24%|██▍ | 60/250 [00:00<00:00, 332.88 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 24%|██▍ | 61/250 [00:00<00:00, 333.01 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 25%|██▍ | 62/250 [00:00<00:00, 332.77 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 25%|██▌ | 63/250 [00:00<00:00, 332.55 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 26%|██▌ | 64/250 [00:00<00:00, 331.53 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 26%|██▌ | 65/250 [00:00<00:00, 331.56 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 26%|██▋ | 66/250 [00:00<00:00, 331.67 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 27%|██▋ | 67/250 [00:00<00:00, 331.67 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 27%|██▋ | 68/250 [00:00<00:00, 331.75 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 28%|██▊ | 69/250 [00:00<00:00, 331.45 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: Optimization result:
INFO - 10:04:31: Optimizer info:
INFO - 10:04:31: Status: 0
INFO - 10:04:31: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:31: Solution:
INFO - 10:04:31: Objective: 0.17870206411470402
INFO - 10:04:31: Design space:
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | left_asymptote | 0 | 0.002321217360735441 | 0.004875718376259649 | float |
INFO - 10:04:31: | capacity | 0.001670093229640868 | 0.005228829307338067 | 0.04875718376259649 | float |
INFO - 10:04:31: | growth_rate | 0.0003701647852990702 | 0.003331483067691632 | 0.003331483067691632 | float |
INFO - 10:04:31: | x_lag | 0 | 3472.38083136442 | 3472.380831364421 | float |
INFO - 10:04:31: | logistic_nu | 0.1 | 3.78833118844627 | 10 | float |
INFO - 10:04:31: | asymptote_coeff | 0.1 | 1.375759296697434 | 10 | float |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: Optimization problem:
INFO - 10:04:31: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:31: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:31: over the design space:
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | left_asymptote | 0 | 0.001224326931021832 | 0.004875718376259649 | float |
INFO - 10:04:31: | capacity | 0.001670093229640868 | 0.04642239118409485 | 0.04875718376259649 | float |
INFO - 10:04:31: | growth_rate | 0.0003701647852990702 | 0.002688102045994667 | 0.003331483067691632 | float |
INFO - 10:04:31: | x_lag | 0 | 2767.09882632672 | 3472.380831364421 | float |
INFO - 10:04:31: | logistic_nu | 0.1 | 4.841685669245659 | 10 | float |
INFO - 10:04:31: | asymptote_coeff | 0.1 | 3.806533090469718 | 10 | float |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:31: 1%| | 2/250 [00:00<00:00, 374.22 it/sec, feas=True, obj=1]
INFO - 10:04:31: 1%| | 3/250 [00:00<00:00, 373.36 it/sec, feas=True, obj=0.819]
INFO - 10:04:31: 2%|▏ | 4/250 [00:00<00:00, 363.85 it/sec, feas=True, obj=0.27]
INFO - 10:04:31: 2%|▏ | 5/250 [00:00<00:00, 361.12 it/sec, feas=True, obj=0.272]
INFO - 10:04:31: 2%|▏ | 6/250 [00:00<00:00, 361.57 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: 3%|▎ | 7/250 [00:00<00:00, 357.21 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: Optimization result:
INFO - 10:04:31: Optimizer info:
INFO - 10:04:31: Status: 0
INFO - 10:04:31: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:31: Solution:
INFO - 10:04:31: Objective: 0.2693204106501659
INFO - 10:04:31: Design space:
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | left_asymptote | 0 | 0.002892651031489811 | 0.004875718376259649 | float |
INFO - 10:04:31: | capacity | 0.001670093229640868 | 0.006428698976796283 | 0.04875718376259649 | float |
INFO - 10:04:31: | growth_rate | 0.0003701647852990702 | 0.00332023856121208 | 0.003331483067691632 | float |
INFO - 10:04:31: | x_lag | 0 | 3472.38083136442 | 3472.380831364421 | float |
INFO - 10:04:31: | logistic_nu | 0.1 | 0.1000000407084276 | 10 | float |
INFO - 10:04:31: | asymptote_coeff | 0.1 | 9.052197115590609 | 10 | float |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: Optimization problem:
INFO - 10:04:31: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:31: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:31: over the design space:
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | left_asymptote | 0 | 0.004599796208774373 | 0.004875718376259649 | float |
INFO - 10:04:31: | capacity | 0.001670093229640868 | 0.01104271561031134 | 0.04875718376259649 | float |
INFO - 10:04:31: | growth_rate | 0.0003701647852990702 | 0.002342768076070965 | 0.003331483067691632 | float |
INFO - 10:04:31: | x_lag | 0 | 1259.18593509697 | 3472.380831364421 | float |
INFO - 10:04:31: | logistic_nu | 0.1 | 5.169901185402307 | 10 | float |
INFO - 10:04:31: | asymptote_coeff | 0.1 | 6.84670587772096 | 10 | float |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:31: 1%| | 2/250 [00:00<00:00, 372.68 it/sec, feas=True, obj=0.445]
INFO - 10:04:31: 1%| | 3/250 [00:00<00:00, 381.09 it/sec, feas=True, obj=0.338]
INFO - 10:04:31: 2%|▏ | 4/250 [00:00<00:00, 376.86 it/sec, feas=True, obj=0.379]
INFO - 10:04:31: 2%|▏ | 5/250 [00:00<00:00, 375.28 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: 2%|▏ | 6/250 [00:00<00:00, 365.36 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: 3%|▎ | 7/250 [00:00<00:00, 362.49 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: 3%|▎ | 8/250 [00:00<00:00, 361.56 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: Optimization result:
INFO - 10:04:31: Optimizer info:
INFO - 10:04:31: Status: 0
INFO - 10:04:31: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:31: Solution:
INFO - 10:04:31: Objective: 0.26932041067792206
INFO - 10:04:31: Design space:
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | left_asymptote | 0 | 0.002892650914104173 | 0.004875718376259649 | float |
INFO - 10:04:31: | capacity | 0.001670093229640868 | 0.001670093233263995 | 0.04875718376259649 | float |
INFO - 10:04:31: | growth_rate | 0.0003701647852990702 | 0.002608272803735966 | 0.003331483067691632 | float |
INFO - 10:04:31: | x_lag | 0 | 2790.377453169401 | 3472.380831364421 | float |
INFO - 10:04:31: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:31: | asymptote_coeff | 0.1 | 9.160706415835541 | 10 | float |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: Optimization problem:
INFO - 10:04:31: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:31: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:31: over the design space:
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | left_asymptote | 0 | 0.00347875762241262 | 0.004875718376259649 | float |
INFO - 10:04:31: | capacity | 0.001670093229640868 | 0.003312623094419757 | 0.04875718376259649 | float |
INFO - 10:04:31: | growth_rate | 0.0003701647852990702 | 0.001587652084305938 | 0.003331483067691632 | float |
INFO - 10:04:31: | x_lag | 0 | 2551.567102207573 | 3472.380831364421 | float |
INFO - 10:04:31: | logistic_nu | 0.1 | 3.561734423309778 | 10 | float |
INFO - 10:04:31: | asymptote_coeff | 0.1 | 0.196786351209056 | 10 | float |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:31: 1%| | 2/250 [00:00<00:00, 374.56 it/sec, feas=True, obj=0.607]
INFO - 10:04:31: 1%| | 3/250 [00:00<00:00, 391.04 it/sec, feas=True, obj=0.261]
INFO - 10:04:31: 2%|▏ | 4/250 [00:00<00:00, 368.67 it/sec, feas=True, obj=0.219]
INFO - 10:04:31: 2%|▏ | 5/250 [00:00<00:00, 368.57 it/sec, feas=True, obj=0.365]
INFO - 10:04:31: 2%|▏ | 6/250 [00:00<00:00, 355.46 it/sec, feas=True, obj=0.185]
INFO - 10:04:31: 3%|▎ | 7/250 [00:00<00:00, 356.71 it/sec, feas=True, obj=0.183]
INFO - 10:04:31: 3%|▎ | 8/250 [00:00<00:00, 349.72 it/sec, feas=True, obj=0.182]
INFO - 10:04:31: 4%|▎ | 9/250 [00:00<00:00, 351.34 it/sec, feas=True, obj=0.181]
INFO - 10:04:31: 4%|▍ | 10/250 [00:00<00:00, 349.72 it/sec, feas=True, obj=0.181]
INFO - 10:04:31: 4%|▍ | 11/250 [00:00<00:00, 345.54 it/sec, feas=True, obj=0.186]
INFO - 10:04:31: 5%|▍ | 12/250 [00:00<00:00, 346.92 it/sec, feas=True, obj=0.181]
INFO - 10:04:31: 5%|▌ | 13/250 [00:00<00:00, 347.93 it/sec, feas=True, obj=0.185]
INFO - 10:04:31: 6%|▌ | 14/250 [00:00<00:00, 348.62 it/sec, feas=True, obj=0.181]
INFO - 10:04:31: 6%|▌ | 15/250 [00:00<00:00, 349.49 it/sec, feas=True, obj=0.185]
INFO - 10:04:31: 6%|▋ | 16/250 [00:00<00:00, 350.34 it/sec, feas=True, obj=0.181]
INFO - 10:04:31: 7%|▋ | 17/250 [00:00<00:00, 351.12 it/sec, feas=True, obj=0.185]
INFO - 10:04:31: 7%|▋ | 18/250 [00:00<00:00, 351.54 it/sec, feas=True, obj=0.181]
INFO - 10:04:31: 8%|▊ | 19/250 [00:00<00:00, 352.10 it/sec, feas=True, obj=0.185]
INFO - 10:04:31: 8%|▊ | 20/250 [00:00<00:00, 351.62 it/sec, feas=True, obj=0.181]
INFO - 10:04:31: 8%|▊ | 21/250 [00:00<00:00, 352.28 it/sec, feas=True, obj=0.185]
INFO - 10:04:31: 9%|▉ | 22/250 [00:00<00:00, 352.42 it/sec, feas=True, obj=0.181]
INFO - 10:04:31: 9%|▉ | 23/250 [00:00<00:00, 352.24 it/sec, feas=True, obj=0.185]
INFO - 10:04:31: 10%|▉ | 24/250 [00:00<00:00, 351.82 it/sec, feas=True, obj=0.181]
INFO - 10:04:31: 10%|█ | 25/250 [00:00<00:00, 351.50 it/sec, feas=True, obj=0.185]
INFO - 10:04:31: 10%|█ | 26/250 [00:00<00:00, 351.32 it/sec, feas=True, obj=0.181]
INFO - 10:04:31: 11%|█ | 27/250 [00:00<00:00, 351.26 it/sec, feas=True, obj=0.185]
INFO - 10:04:31: 11%|█ | 28/250 [00:00<00:00, 350.85 it/sec, feas=True, obj=0.181]
INFO - 10:04:31: Optimization result:
INFO - 10:04:31: Optimizer info:
INFO - 10:04:31: Status: 0
INFO - 10:04:31: Message: CONVERGENCE: RELATIVE REDUCTION OF F <= FACTR*EPSMCH
INFO - 10:04:31: Solution:
INFO - 10:04:31: Objective: 0.18091598033813014
INFO - 10:04:31: Design space:
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | left_asymptote | 0 | 0.001548654435174964 | 0.004875718376259649 | float |
INFO - 10:04:31: | capacity | 0.001670093229640868 | 0.003793086517299485 | 0.04875718376259649 | float |
INFO - 10:04:31: | growth_rate | 0.0003701647852990702 | 0.00156785534038502 | 0.003331483067691632 | float |
INFO - 10:04:31: | x_lag | 0 | 2524.149911635191 | 3472.380831364421 | float |
INFO - 10:04:31: | logistic_nu | 0.1 | 3.68005951844295 | 10 | float |
INFO - 10:04:31: | asymptote_coeff | 0.1 | 0.1660755017771557 | 10 | float |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: Optimization problem:
INFO - 10:04:31: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:31: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:31: over the design space:
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | left_asymptote | 0 | 0.001138855479424312 | 0.004875718376259649 | float |
INFO - 10:04:31: | capacity | 0.001670093229640868 | 0.03711815028779624 | 0.04875718376259649 | float |
INFO - 10:04:31: | growth_rate | 0.0003701647852990702 | 0.001992564061239077 | 0.003331483067691632 | float |
INFO - 10:04:31: | x_lag | 0 | 1389.704975658957 | 3472.380831364421 | float |
INFO - 10:04:31: | logistic_nu | 0.1 | 1.584139511566824 | 10 | float |
INFO - 10:04:31: | asymptote_coeff | 0.1 | 8.646435449387221 | 10 | float |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:31: 1%| | 2/250 [00:00<00:00, 275.23 it/sec, feas=True, obj=1]
INFO - 10:04:31: 1%| | 3/250 [00:00<00:00, 310.87 it/sec, feas=True, obj=0.941]
INFO - 10:04:31: 2%|▏ | 4/250 [00:00<00:00, 320.10 it/sec, feas=True, obj=0.708]
INFO - 10:04:31: 2%|▏ | 5/250 [00:00<00:00, 323.70 it/sec, feas=True, obj=0.304]
INFO - 10:04:31: 2%|▏ | 6/250 [00:00<00:00, 327.21 it/sec, feas=True, obj=0.346]
INFO - 10:04:31: 3%|▎ | 7/250 [00:00<00:00, 332.52 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: 3%|▎ | 8/250 [00:00<00:00, 333.93 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: 4%|▎ | 9/250 [00:00<00:00, 334.22 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: 4%|▍ | 10/250 [00:00<00:00, 335.54 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: 4%|▍ | 11/250 [00:00<00:00, 336.10 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: Optimization result:
INFO - 10:04:31: Optimizer info:
INFO - 10:04:31: Status: None
INFO - 10:04:31: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:31: Solution:
INFO - 10:04:31: Objective: 0.2693204092191233
INFO - 10:04:31: Design space:
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | left_asymptote | 0 | 0.002892648445100566 | 0.004875718376259649 | float |
INFO - 10:04:31: | capacity | 0.001670093229640868 | 0.04274607510463427 | 0.04875718376259649 | float |
INFO - 10:04:31: | growth_rate | 0.0003701647852990702 | 0.001741126613745229 | 0.003331483067691632 | float |
INFO - 10:04:31: | x_lag | 0 | 1044.634564029903 | 3472.380831364421 | float |
INFO - 10:04:31: | logistic_nu | 0.1 | 0.1000208913363339 | 10 | float |
INFO - 10:04:31: | asymptote_coeff | 0.1 | 8.511224575084832 | 10 | float |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: Optimization problem:
INFO - 10:04:31: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:31: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:31: over the design space:
INFO - 10:04:31: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:31: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:31: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:31: | left_asymptote | 0 | 0.0007130906453934993 | 0.004875718376259649 | float |
INFO - 10:04:31: | capacity | 0.001670093229640868 | 0.02822027664800779 | 0.04875718376259649 | float |
INFO - 10:04:31: | growth_rate | 0.0003701647852990702 | 0.0005059957519380104 | 0.003331483067691632 | float |
INFO - 10:04:31: | x_lag | 0 | 1211.725343563947 | 3472.380831364421 | float |
INFO - 10:04:31: | logistic_nu | 0.1 | 3.881851228413161 | 10 | float |
INFO - 10:04:31: | asymptote_coeff | 0.1 | 5.404868117632494 | 10 | float |
INFO - 10:04:31: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:31: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:31: 1%| | 2/250 [00:00<00:00, 273.90 it/sec, feas=True, obj=1]
INFO - 10:04:31: 1%| | 3/250 [00:00<00:00, 306.50 it/sec, feas=True, obj=0.845]
INFO - 10:04:31: 2%|▏ | 4/250 [00:00<00:00, 308.25 it/sec, feas=True, obj=0.309]
INFO - 10:04:31: 2%|▏ | 5/250 [00:00<00:00, 315.67 it/sec, feas=True, obj=0.713]
INFO - 10:04:31: 2%|▏ | 6/250 [00:00<00:00, 320.31 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: 3%|▎ | 7/250 [00:00<00:00, 323.40 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: 3%|▎ | 8/250 [00:00<00:00, 326.58 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: 4%|▎ | 9/250 [00:00<00:00, 328.91 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: Optimization result:
INFO - 10:04:31: Optimizer info:
INFO - 10:04:31: Status: 0
INFO - 10:04:31: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:31: Solution:
INFO - 10:04:31: Objective: 0.26932041067214585
INFO - 10:04:31: Design space:
INFO - 10:04:31: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:31: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:31: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:31: | left_asymptote | 0 | 0.002892650914158607 | 0.004875718376259649 | float |
INFO - 10:04:31: | capacity | 0.001670093229640868 | 0.001670093234100387 | 0.04875718376259649 | float |
INFO - 10:04:31: | growth_rate | 0.0003701647852990702 | 0.0009660723504141156 | 0.003331483067691632 | float |
INFO - 10:04:31: | x_lag | 0 | 2466.477575644199 | 3472.380831364421 | float |
INFO - 10:04:31: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:31: | asymptote_coeff | 0.1 | 9.521091385307795 | 10 | float |
INFO - 10:04:31: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:31: Optimization problem:
INFO - 10:04:31: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:31: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:31: over the design space:
INFO - 10:04:31: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:31: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:31: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:31: | left_asymptote | 0 | 0.004102909073143098 | 0.004875718376259649 | float |
INFO - 10:04:31: | capacity | 0.001670093229640868 | 0.04504126169941264 | 0.04875718376259649 | float |
INFO - 10:04:31: | growth_rate | 0.0003701647852990702 | 0.0007987106252092685 | 0.003331483067691632 | float |
INFO - 10:04:31: | x_lag | 0 | 1634.608332664639 | 3472.380831364421 | float |
INFO - 10:04:31: | logistic_nu | 0.1 | 8.234739433018818 | 10 | float |
INFO - 10:04:31: | asymptote_coeff | 0.1 | 3.408753901197628 | 10 | float |
INFO - 10:04:31: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:31: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:31: 1%| | 2/250 [00:00<00:00, 354.67 it/sec, feas=True, obj=0.277]
INFO - 10:04:31: 1%| | 3/250 [00:00<00:00, 293.43 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: 2%|▏ | 4/250 [00:00<00:00, 304.37 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: 2%|▏ | 5/250 [00:00<00:00, 309.73 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: Optimization result:
INFO - 10:04:31: Optimizer info:
INFO - 10:04:31: Status: 0
INFO - 10:04:31: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:31: Solution:
INFO - 10:04:31: Objective: 0.2693204106636351
INFO - 10:04:31: Design space:
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | left_asymptote | 0 | 0.002892650854512562 | 0.004875718376259649 | float |
INFO - 10:04:31: | capacity | 0.001670093229640868 | 0.001715931646537968 | 0.04875718376259649 | float |
INFO - 10:04:31: | growth_rate | 0.0003701647852990702 | 0.003331483067691632 | 0.003331483067691632 | float |
INFO - 10:04:31: | x_lag | 0 | 3472.38083136442 | 3472.380831364421 | float |
INFO - 10:04:31: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:31: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: Optimization problem:
INFO - 10:04:31: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:31: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:31: over the design space:
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | left_asymptote | 0 | 0.004700111630097099 | 0.004875718376259649 | float |
INFO - 10:04:31: | capacity | 0.001670093229640868 | 0.02105222475740098 | 0.04875718376259649 | float |
INFO - 10:04:31: | growth_rate | 0.0003701647852990702 | 0.00184499570306918 | 0.003331483067691632 | float |
INFO - 10:04:31: | x_lag | 0 | 2867.10694477676 | 3472.380831364421 | float |
INFO - 10:04:31: | logistic_nu | 0.1 | 8.81154772732992 | 10 | float |
INFO - 10:04:31: | asymptote_coeff | 0.1 | 4.60272431489444 | 10 | float |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:31: 1%| | 2/250 [00:00<00:00, 385.65 it/sec, feas=True, obj=0.356]
INFO - 10:04:31: 1%| | 3/250 [00:00<00:00, 395.71 it/sec, feas=True, obj=0.289]
INFO - 10:04:31: 2%|▏ | 4/250 [00:00<00:00, 386.79 it/sec, feas=True, obj=0.275]
INFO - 10:04:31: 2%|▏ | 5/250 [00:00<00:00, 381.31 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: 2%|▏ | 6/250 [00:00<00:00, 377.39 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: 3%|▎ | 7/250 [00:00<00:00, 370.86 it/sec, feas=True, obj=0.269]
INFO - 10:04:31: Optimization result:
INFO - 10:04:31: Optimizer info:
INFO - 10:04:31: Status: 0
INFO - 10:04:31: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:31: Solution:
INFO - 10:04:31: Objective: 0.26932041069510415
INFO - 10:04:31: Design space:
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | left_asymptote | 0 | 0.00289265091164263 | 0.004875718376259649 | float |
INFO - 10:04:31: | capacity | 0.001670093229640868 | 0.001691484919816216 | 0.04875718376259649 | float |
INFO - 10:04:31: | growth_rate | 0.0003701647852990702 | 0.003331483067691632 | 0.003331483067691632 | float |
INFO - 10:04:31: | x_lag | 0 | 3472.38083136442 | 3472.380831364421 | float |
INFO - 10:04:31: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:31: | asymptote_coeff | 0.1 | 7.096797209201704 | 10 | float |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: Optimization problem:
INFO - 10:04:31: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:31: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:31: over the design space:
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: | left_asymptote | 0 | 0.001812794368232298 | 0.004875718376259649 | float |
INFO - 10:04:31: | capacity | 0.001670093229640868 | 0.0147452687819834 | 0.04875718376259649 | float |
INFO - 10:04:31: | growth_rate | 0.0003701647852990702 | 0.001472990656961379 | 0.003331483067691632 | float |
INFO - 10:04:31: | x_lag | 0 | 999.4569361647486 | 3472.380831364421 | float |
INFO - 10:04:31: | logistic_nu | 0.1 | 9.197003967850243 | 10 | float |
INFO - 10:04:31: | asymptote_coeff | 0.1 | 2.224733400313706 | 10 | float |
INFO - 10:04:31: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:31: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:31: 1%| | 2/250 [00:00<00:00, 369.53 it/sec, feas=True, obj=0.631]
INFO - 10:04:31: 1%| | 3/250 [00:00<00:00, 373.39 it/sec, feas=True, obj=0.264]
INFO - 10:04:31: 2%|▏ | 4/250 [00:00<00:00, 370.44 it/sec, feas=True, obj=0.329]
INFO - 10:04:31: 2%|▏ | 5/250 [00:00<00:00, 369.16 it/sec, feas=True, obj=0.222]
INFO - 10:04:31: 2%|▏ | 6/250 [00:00<00:00, 366.93 it/sec, feas=True, obj=0.221]
INFO - 10:04:31: 3%|▎ | 7/250 [00:00<00:00, 363.19 it/sec, feas=True, obj=0.22]
INFO - 10:04:31: 3%|▎ | 8/250 [00:00<00:00, 361.88 it/sec, feas=True, obj=0.216]
INFO - 10:04:31: 4%|▎ | 9/250 [00:00<00:00, 360.06 it/sec, feas=True, obj=0.212]
INFO - 10:04:31: 4%|▍ | 10/250 [00:00<00:00, 359.57 it/sec, feas=True, obj=0.199]
INFO - 10:04:31: 4%|▍ | 11/250 [00:00<00:00, 350.67 it/sec, feas=True, obj=0.192]
INFO - 10:04:31: 5%|▍ | 12/250 [00:00<00:00, 350.63 it/sec, feas=True, obj=0.191]
INFO - 10:04:31: 5%|▌ | 13/250 [00:00<00:00, 350.93 it/sec, feas=True, obj=0.191]
INFO - 10:04:31: 6%|▌ | 14/250 [00:00<00:00, 349.44 it/sec, feas=True, obj=0.191]
INFO - 10:04:31: 6%|▌ | 15/250 [00:00<00:00, 348.82 it/sec, feas=True, obj=0.19]
INFO - 10:04:31: 6%|▋ | 16/250 [00:00<00:00, 349.13 it/sec, feas=True, obj=0.19]
INFO - 10:04:31: 7%|▋ | 17/250 [00:00<00:00, 347.83 it/sec, feas=True, obj=0.19]
INFO - 10:04:31: 7%|▋ | 18/250 [00:00<00:00, 348.25 it/sec, feas=True, obj=0.19]
INFO - 10:04:31: 8%|▊ | 19/250 [00:00<00:00, 348.42 it/sec, feas=True, obj=0.19]
INFO - 10:04:31: 8%|▊ | 20/250 [00:00<00:00, 348.36 it/sec, feas=True, obj=0.189]
INFO - 10:04:31: 8%|▊ | 21/250 [00:00<00:00, 347.10 it/sec, feas=True, obj=0.189]
INFO - 10:04:31: 9%|▉ | 22/250 [00:00<00:00, 347.27 it/sec, feas=True, obj=0.188]
INFO - 10:04:31: 9%|▉ | 23/250 [00:00<00:00, 347.28 it/sec, feas=True, obj=0.185]
INFO - 10:04:31: 10%|▉ | 24/250 [00:00<00:00, 346.33 it/sec, feas=True, obj=0.185]
INFO - 10:04:31: 10%|█ | 25/250 [00:00<00:00, 345.90 it/sec, feas=True, obj=0.184]
INFO - 10:04:31: 10%|█ | 26/250 [00:00<00:00, 345.98 it/sec, feas=True, obj=0.183]
INFO - 10:04:31: 11%|█ | 27/250 [00:00<00:00, 345.32 it/sec, feas=True, obj=0.182]
INFO - 10:04:31: 11%|█ | 28/250 [00:00<00:00, 345.48 it/sec, feas=True, obj=0.181]
INFO - 10:04:31: 12%|█▏ | 29/250 [00:00<00:00, 345.76 it/sec, feas=True, obj=0.18]
INFO - 10:04:31: 12%|█▏ | 30/250 [00:00<00:00, 344.61 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 12%|█▏ | 31/250 [00:00<00:00, 345.11 it/sec, feas=True, obj=0.18]
INFO - 10:04:31: 13%|█▎ | 32/250 [00:00<00:00, 345.53 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 13%|█▎ | 33/250 [00:00<00:00, 345.51 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 14%|█▎ | 34/250 [00:00<00:00, 345.69 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 14%|█▍ | 35/250 [00:00<00:00, 346.05 it/sec, feas=True, obj=0.179]
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INFO - 10:04:31: 15%|█▍ | 37/250 [00:00<00:00, 345.83 it/sec, feas=True, obj=0.179]
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INFO - 10:04:31: 16%|█▌ | 39/250 [00:00<00:00, 345.66 it/sec, feas=True, obj=0.179]
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INFO - 10:04:31: 17%|█▋ | 43/250 [00:00<00:00, 345.62 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 18%|█▊ | 44/250 [00:00<00:00, 345.57 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 18%|█▊ | 45/250 [00:00<00:00, 345.75 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 18%|█▊ | 46/250 [00:00<00:00, 345.73 it/sec, feas=True, obj=0.243]
INFO - 10:04:31: 19%|█▉ | 47/250 [00:00<00:00, 345.59 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 19%|█▉ | 48/250 [00:00<00:00, 345.83 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 20%|█▉ | 49/250 [00:00<00:00, 345.76 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 20%|██ | 50/250 [00:00<00:00, 345.68 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 20%|██ | 51/250 [00:00<00:00, 345.81 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 21%|██ | 52/250 [00:00<00:00, 345.83 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 21%|██ | 53/250 [00:00<00:00, 345.59 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 22%|██▏ | 54/250 [00:00<00:00, 345.65 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 22%|██▏ | 55/250 [00:00<00:00, 345.42 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 22%|██▏ | 56/250 [00:00<00:00, 345.00 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 23%|██▎ | 57/250 [00:00<00:00, 344.80 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 23%|██▎ | 58/250 [00:00<00:00, 344.71 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 24%|██▎ | 59/250 [00:00<00:00, 344.82 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 24%|██▍ | 60/250 [00:00<00:00, 344.69 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 24%|██▍ | 61/250 [00:00<00:00, 344.79 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 25%|██▍ | 62/250 [00:00<00:00, 344.27 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 25%|██▌ | 63/250 [00:00<00:00, 343.62 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 26%|██▌ | 64/250 [00:00<00:00, 343.67 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 26%|██▌ | 65/250 [00:00<00:00, 343.50 it/sec, feas=True, obj=0.179]
INFO - 10:04:31: 26%|██▋ | 66/250 [00:00<00:00, 343.62 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 27%|██▋ | 67/250 [00:00<00:00, 343.77 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 27%|██▋ | 68/250 [00:00<00:00, 343.54 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 28%|██▊ | 69/250 [00:00<00:00, 343.37 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 28%|██▊ | 70/250 [00:00<00:00, 333.55 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 28%|██▊ | 71/250 [00:00<00:00, 333.44 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 29%|██▉ | 72/250 [00:00<00:00, 333.90 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 29%|██▉ | 73/250 [00:00<00:00, 334.25 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 30%|██▉ | 74/250 [00:00<00:00, 334.58 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 30%|███ | 75/250 [00:00<00:00, 334.98 it/sec, feas=True, obj=0.179]
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INFO - 10:04:32: 31%|███ | 77/250 [00:00<00:00, 332.43 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 31%|███ | 78/250 [00:00<00:00, 332.76 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 32%|███▏ | 79/250 [00:00<00:00, 333.03 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 32%|███▏ | 80/250 [00:00<00:00, 333.17 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 32%|███▏ | 81/250 [00:00<00:00, 333.30 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 33%|███▎ | 82/250 [00:00<00:00, 333.60 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 33%|███▎ | 83/250 [00:00<00:00, 332.12 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 34%|███▎ | 84/250 [00:00<00:00, 332.14 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 34%|███▍ | 85/250 [00:00<00:00, 332.41 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 34%|███▍ | 86/250 [00:00<00:00, 332.46 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 35%|███▍ | 87/250 [00:00<00:00, 332.44 it/sec, feas=True, obj=0.179]
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INFO - 10:04:32: 36%|███▌ | 89/250 [00:00<00:00, 332.95 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 36%|███▌ | 90/250 [00:00<00:00, 333.10 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 36%|███▋ | 91/250 [00:00<00:00, 333.36 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 37%|███▋ | 92/250 [00:00<00:00, 333.66 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 37%|███▋ | 93/250 [00:00<00:00, 333.90 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 38%|███▊ | 94/250 [00:00<00:00, 334.00 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 38%|███▊ | 95/250 [00:00<00:00, 334.04 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 38%|███▊ | 96/250 [00:00<00:00, 334.13 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 39%|███▉ | 97/250 [00:00<00:00, 334.22 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 39%|███▉ | 98/250 [00:00<00:00, 334.29 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 40%|███▉ | 99/250 [00:00<00:00, 334.36 it/sec, feas=True, obj=0.179]
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INFO - 10:04:32: 42%|████▏ | 104/250 [00:00<00:00, 335.28 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 42%|████▏ | 105/250 [00:00<00:00, 335.58 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 42%|████▏ | 106/250 [00:00<00:00, 333.46 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 43%|████▎ | 107/250 [00:00<00:00, 333.74 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 43%|████▎ | 108/250 [00:00<00:00, 333.97 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 44%|████▎ | 109/250 [00:00<00:00, 334.22 it/sec, feas=True, obj=0.179]
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INFO - 10:04:32: 46%|████▋ | 116/250 [00:00<00:00, 335.86 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 47%|████▋ | 117/250 [00:00<00:00, 336.03 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 47%|████▋ | 118/250 [00:00<00:00, 336.17 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 48%|████▊ | 119/250 [00:00<00:00, 336.43 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 48%|████▊ | 120/250 [00:00<00:00, 336.60 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 48%|████▊ | 121/250 [00:00<00:00, 336.77 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 49%|████▉ | 122/250 [00:00<00:00, 336.98 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 49%|████▉ | 123/250 [00:00<00:00, 337.17 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 50%|████▉ | 124/250 [00:00<00:00, 337.37 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 50%|█████ | 125/250 [00:00<00:00, 337.56 it/sec, feas=True, obj=0.179]
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INFO - 10:04:32: 51%|█████ | 127/250 [00:00<00:00, 337.90 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 51%|█████ | 128/250 [00:00<00:00, 338.15 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 52%|█████▏ | 129/250 [00:00<00:00, 338.32 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 52%|█████▏ | 130/250 [00:00<00:00, 338.51 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 52%|█████▏ | 131/250 [00:00<00:00, 338.73 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 53%|█████▎ | 132/250 [00:00<00:00, 338.72 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 53%|█████▎ | 133/250 [00:00<00:00, 338.93 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 54%|█████▎ | 134/250 [00:00<00:00, 339.08 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 54%|█████▍ | 135/250 [00:00<00:00, 339.25 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 54%|█████▍ | 136/250 [00:00<00:00, 339.28 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 55%|█████▍ | 137/250 [00:00<00:00, 337.48 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 55%|█████▌ | 138/250 [00:00<00:00, 337.63 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 56%|█████▌ | 139/250 [00:00<00:00, 337.82 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 56%|█████▌ | 140/250 [00:00<00:00, 337.94 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 56%|█████▋ | 141/250 [00:00<00:00, 336.64 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 57%|█████▋ | 142/250 [00:00<00:00, 336.81 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 57%|█████▋ | 143/250 [00:00<00:00, 336.99 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 58%|█████▊ | 144/250 [00:00<00:00, 337.13 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 58%|█████▊ | 145/250 [00:00<00:00, 337.31 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 58%|█████▊ | 146/250 [00:00<00:00, 336.49 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 59%|█████▉ | 147/250 [00:00<00:00, 336.68 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 59%|█████▉ | 148/250 [00:00<00:00, 336.81 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 60%|█████▉ | 149/250 [00:00<00:00, 336.94 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 60%|██████ | 150/250 [00:00<00:00, 337.11 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 60%|██████ | 151/250 [00:00<00:00, 337.32 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 61%|██████ | 152/250 [00:00<00:00, 337.46 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 61%|██████ | 153/250 [00:00<00:00, 337.58 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 62%|██████▏ | 154/250 [00:00<00:00, 337.75 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 62%|██████▏ | 155/250 [00:00<00:00, 337.91 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 62%|██████▏ | 156/250 [00:00<00:00, 338.06 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 63%|██████▎ | 157/250 [00:00<00:00, 338.05 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 63%|██████▎ | 158/250 [00:00<00:00, 338.06 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 64%|██████▎ | 159/250 [00:00<00:00, 338.20 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 64%|██████▍ | 160/250 [00:00<00:00, 338.24 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 64%|██████▍ | 161/250 [00:00<00:00, 338.25 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 65%|██████▍ | 162/250 [00:00<00:00, 338.27 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 65%|██████▌ | 163/250 [00:00<00:00, 338.29 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 66%|██████▌ | 164/250 [00:00<00:00, 338.20 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 66%|██████▌ | 165/250 [00:00<00:00, 338.22 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 66%|██████▋ | 166/250 [00:00<00:00, 338.33 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 67%|██████▋ | 167/250 [00:00<00:00, 338.32 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 67%|██████▋ | 168/250 [00:00<00:00, 338.40 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 68%|██████▊ | 169/250 [00:00<00:00, 338.51 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 68%|██████▊ | 170/250 [00:00<00:00, 338.05 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 68%|██████▊ | 171/250 [00:00<00:00, 338.13 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 69%|██████▉ | 172/250 [00:00<00:00, 338.14 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 69%|██████▉ | 173/250 [00:00<00:00, 338.15 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 70%|██████▉ | 174/250 [00:00<00:00, 338.25 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 70%|███████ | 175/250 [00:00<00:00, 338.33 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 70%|███████ | 176/250 [00:00<00:00, 338.39 it/sec, feas=True, obj=0.18]
INFO - 10:04:32: 71%|███████ | 177/250 [00:00<00:00, 338.48 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 71%|███████ | 178/250 [00:00<00:00, 337.20 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 72%|███████▏ | 179/250 [00:00<00:00, 337.32 it/sec, feas=True, obj=0.182]
INFO - 10:04:32: 72%|███████▏ | 180/250 [00:00<00:00, 337.39 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 72%|███████▏ | 181/250 [00:00<00:00, 337.46 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 73%|███████▎ | 182/250 [00:00<00:00, 337.53 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 73%|███████▎ | 183/250 [00:00<00:00, 337.62 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 74%|███████▎ | 184/250 [00:00<00:00, 337.32 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: Optimization result:
INFO - 10:04:32: Optimizer info:
INFO - 10:04:32: Status: 0
INFO - 10:04:32: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:32: Solution:
INFO - 10:04:32: Objective: 0.17870206411466136
INFO - 10:04:32: Design space:
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: | left_asymptote | 0 | 0.00232121879860815 | 0.004875718376259649 | float |
INFO - 10:04:32: | capacity | 0.001670093229640868 | 0.005228070280481255 | 0.04875718376259649 | float |
INFO - 10:04:32: | growth_rate | 0.0003701647852990702 | 0.003331483067691632 | 0.003331483067691632 | float |
INFO - 10:04:32: | x_lag | 0 | 3472.082664564079 | 3472.380831364421 | float |
INFO - 10:04:32: | logistic_nu | 0.1 | 3.788323376851445 | 10 | float |
INFO - 10:04:32: | asymptote_coeff | 0.1 | 1.374404057093684 | 10 | float |
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: Optimization problem:
INFO - 10:04:32: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:32: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:32: over the design space:
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: | left_asymptote | 0 | 0.002263957582274113 | 0.004875718376259649 | float |
INFO - 10:04:32: | capacity | 0.001670093229640868 | 0.01820168207396297 | 0.04875718376259649 | float |
INFO - 10:04:32: | growth_rate | 0.0003701647852990702 | 0.003144380642387262 | 0.003331483067691632 | float |
INFO - 10:04:32: | x_lag | 0 | 3249.657448380259 | 3472.380831364421 | float |
INFO - 10:04:32: | logistic_nu | 0.1 | 2.425630286446258 | 10 | float |
INFO - 10:04:32: | asymptote_coeff | 0.1 | 7.080730934612159 | 10 | float |
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:32: 1%| | 2/250 [00:00<00:00, 380.56 it/sec, feas=True, obj=1]
INFO - 10:04:32: 1%| | 3/250 [00:00<00:00, 391.02 it/sec, feas=True, obj=0.321]
INFO - 10:04:32: 2%|▏ | 4/250 [00:00<00:00, 378.18 it/sec, feas=True, obj=0.273]
INFO - 10:04:32: 2%|▏ | 5/250 [00:00<00:00, 375.27 it/sec, feas=True, obj=0.219]
INFO - 10:04:32: 2%|▏ | 6/250 [00:00<00:00, 371.30 it/sec, feas=True, obj=0.19]
INFO - 10:04:32: 3%|▎ | 7/250 [00:00<00:00, 366.37 it/sec, feas=True, obj=0.18]
INFO - 10:04:32: 3%|▎ | 8/250 [00:00<00:00, 363.71 it/sec, feas=True, obj=0.18]
INFO - 10:04:32: 4%|▎ | 9/250 [00:00<00:00, 363.33 it/sec, feas=True, obj=0.18]
INFO - 10:04:32: 4%|▍ | 10/250 [00:00<00:00, 362.86 it/sec, feas=True, obj=0.18]
INFO - 10:04:32: 4%|▍ | 11/250 [00:00<00:00, 361.00 it/sec, feas=True, obj=0.18]
INFO - 10:04:32: 5%|▍ | 12/250 [00:00<00:00, 360.76 it/sec, feas=True, obj=0.18]
INFO - 10:04:32: 5%|▌ | 13/250 [00:00<00:00, 360.31 it/sec, feas=True, obj=0.18]
INFO - 10:04:32: 6%|▌ | 14/250 [00:00<00:00, 344.58 it/sec, feas=True, obj=0.18]
INFO - 10:04:32: 6%|▌ | 15/250 [00:00<00:00, 322.54 it/sec, feas=True, obj=0.18]
INFO - 10:04:32: 6%|▋ | 16/250 [00:00<00:00, 323.41 it/sec, feas=True, obj=0.18]
INFO - 10:04:32: 7%|▋ | 17/250 [00:00<00:00, 324.05 it/sec, feas=True, obj=0.18]
INFO - 10:04:32: 7%|▋ | 18/250 [00:00<00:00, 325.54 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 8%|▊ | 19/250 [00:00<00:00, 326.03 it/sec, feas=True, obj=0.18]
INFO - 10:04:32: 8%|▊ | 20/250 [00:00<00:00, 327.37 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 8%|▊ | 21/250 [00:00<00:00, 327.74 it/sec, feas=True, obj=0.18]
INFO - 10:04:32: 9%|▉ | 22/250 [00:00<00:00, 328.21 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 9%|▉ | 23/250 [00:00<00:00, 329.33 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 10%|▉ | 24/250 [00:00<00:00, 330.34 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 10%|█ | 25/250 [00:00<00:00, 330.59 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 10%|█ | 26/250 [00:00<00:00, 331.43 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 11%|█ | 27/250 [00:00<00:00, 332.21 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 11%|█ | 28/250 [00:00<00:00, 332.93 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 12%|█▏ | 29/250 [00:00<00:00, 333.60 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 12%|█▏ | 30/250 [00:00<00:00, 334.32 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 12%|█▏ | 31/250 [00:00<00:00, 334.46 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 13%|█▎ | 32/250 [00:00<00:00, 335.33 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 13%|█▎ | 33/250 [00:00<00:00, 336.06 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 14%|█▎ | 34/250 [00:00<00:00, 336.84 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 14%|█▍ | 35/250 [00:00<00:00, 337.44 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 14%|█▍ | 36/250 [00:00<00:00, 338.00 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 15%|█▍ | 37/250 [00:00<00:00, 338.82 it/sec, feas=True, obj=0.267]
INFO - 10:04:32: 15%|█▌ | 38/250 [00:00<00:00, 339.46 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 16%|█▌ | 39/250 [00:00<00:00, 340.10 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 16%|█▌ | 40/250 [00:00<00:00, 340.71 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 16%|█▋ | 41/250 [00:00<00:00, 341.29 it/sec, feas=True, obj=0.317]
INFO - 10:04:32: 17%|█▋ | 42/250 [00:00<00:00, 341.07 it/sec, feas=True, obj=0.183]
INFO - 10:04:32: 17%|█▋ | 43/250 [00:00<00:00, 341.43 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 18%|█▊ | 44/250 [00:00<00:00, 342.01 it/sec, feas=True, obj=0.277]
INFO - 10:04:32: 18%|█▊ | 45/250 [00:00<00:00, 342.56 it/sec, feas=True, obj=0.181]
INFO - 10:04:32: 18%|█▊ | 46/250 [00:00<00:00, 342.86 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 19%|█▉ | 47/250 [00:00<00:00, 343.29 it/sec, feas=True, obj=0.276]
INFO - 10:04:32: 19%|█▉ | 48/250 [00:00<00:00, 343.75 it/sec, feas=True, obj=0.181]
INFO - 10:04:32: 20%|█▉ | 49/250 [00:00<00:00, 344.05 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 20%|██ | 50/250 [00:00<00:00, 344.47 it/sec, feas=True, obj=0.237]
INFO - 10:04:32: 20%|██ | 51/250 [00:00<00:00, 344.81 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 21%|██ | 52/250 [00:00<00:00, 345.12 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 21%|██ | 53/250 [00:00<00:00, 345.57 it/sec, feas=True, obj=0.214]
INFO - 10:04:32: 22%|██▏ | 54/250 [00:00<00:00, 345.78 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 22%|██▏ | 55/250 [00:00<00:00, 345.97 it/sec, feas=True, obj=0.18]
INFO - 10:04:32: 22%|██▏ | 56/250 [00:00<00:00, 344.25 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 23%|██▎ | 57/250 [00:00<00:00, 344.62 it/sec, feas=True, obj=0.18]
INFO - 10:04:32: 23%|██▎ | 58/250 [00:00<00:00, 344.82 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 24%|██▎ | 59/250 [00:00<00:00, 345.19 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 24%|██▍ | 60/250 [00:00<00:00, 345.37 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 24%|██▍ | 61/250 [00:00<00:00, 341.47 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 25%|██▍ | 62/250 [00:00<00:00, 341.73 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 25%|██▌ | 63/250 [00:00<00:00, 341.73 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 26%|██▌ | 64/250 [00:00<00:00, 341.91 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 26%|██▌ | 65/250 [00:00<00:00, 342.12 it/sec, feas=True, obj=0.181]
INFO - 10:04:32: 26%|██▋ | 66/250 [00:00<00:00, 342.02 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 27%|██▋ | 67/250 [00:00<00:00, 342.15 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 27%|██▋ | 68/250 [00:00<00:00, 342.38 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 28%|██▊ | 69/250 [00:00<00:00, 342.68 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 28%|██▊ | 70/250 [00:00<00:00, 342.95 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 28%|██▊ | 71/250 [00:00<00:00, 343.12 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 29%|██▉ | 72/250 [00:00<00:00, 343.39 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 29%|██▉ | 73/250 [00:00<00:00, 343.65 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 30%|██▉ | 74/250 [00:00<00:00, 343.85 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 30%|███ | 75/250 [00:00<00:00, 344.10 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 30%|███ | 76/250 [00:00<00:00, 344.31 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 31%|███ | 77/250 [00:00<00:00, 344.56 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 31%|███ | 78/250 [00:00<00:00, 344.73 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 32%|███▏ | 79/250 [00:00<00:00, 344.69 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 32%|███▏ | 80/250 [00:00<00:00, 344.64 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 32%|███▏ | 81/250 [00:00<00:00, 344.79 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 33%|███▎ | 82/250 [00:00<00:00, 344.78 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 33%|███▎ | 83/250 [00:00<00:00, 344.77 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 34%|███▎ | 84/250 [00:00<00:00, 344.73 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 34%|███▍ | 85/250 [00:00<00:00, 344.63 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 34%|███▍ | 86/250 [00:00<00:00, 344.77 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 35%|███▍ | 87/250 [00:00<00:00, 344.74 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 35%|███▌ | 88/250 [00:00<00:00, 344.74 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 36%|███▌ | 89/250 [00:00<00:00, 344.66 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 36%|███▌ | 90/250 [00:00<00:00, 344.61 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 36%|███▋ | 91/250 [00:00<00:00, 344.76 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 37%|███▋ | 92/250 [00:00<00:00, 344.74 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 37%|███▋ | 93/250 [00:00<00:00, 344.82 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 38%|███▊ | 94/250 [00:00<00:00, 344.99 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 38%|███▊ | 95/250 [00:00<00:00, 345.13 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 38%|███▊ | 96/250 [00:00<00:00, 345.15 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 39%|███▉ | 97/250 [00:00<00:00, 345.09 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 39%|███▉ | 98/250 [00:00<00:00, 345.04 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 40%|███▉ | 99/250 [00:00<00:00, 345.12 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 40%|████ | 100/250 [00:00<00:00, 345.30 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 40%|████ | 101/250 [00:00<00:00, 345.50 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 41%|████ | 102/250 [00:00<00:00, 345.61 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 41%|████ | 103/250 [00:00<00:00, 345.66 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 42%|████▏ | 104/250 [00:00<00:00, 345.74 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 42%|████▏ | 105/250 [00:00<00:00, 345.83 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 42%|████▏ | 106/250 [00:00<00:00, 345.99 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 43%|████▎ | 107/250 [00:00<00:00, 346.07 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 43%|████▎ | 108/250 [00:00<00:00, 346.16 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 44%|████▎ | 109/250 [00:00<00:00, 346.33 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 44%|████▍ | 110/250 [00:00<00:00, 346.43 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 44%|████▍ | 111/250 [00:00<00:00, 344.07 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 45%|████▍ | 112/250 [00:00<00:00, 344.21 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 45%|████▌ | 113/250 [00:00<00:00, 344.33 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 46%|████▌ | 114/250 [00:00<00:00, 344.43 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 46%|████▌ | 115/250 [00:00<00:00, 344.57 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 46%|████▋ | 116/250 [00:00<00:00, 344.69 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 47%|████▋ | 117/250 [00:00<00:00, 344.80 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 47%|████▋ | 118/250 [00:00<00:00, 344.90 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 48%|████▊ | 119/250 [00:00<00:00, 344.91 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 48%|████▊ | 120/250 [00:00<00:00, 344.86 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 48%|████▊ | 121/250 [00:00<00:00, 344.84 it/sec, feas=True, obj=0.191]
INFO - 10:04:32: 49%|████▉ | 122/250 [00:00<00:00, 344.82 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 49%|████▉ | 123/250 [00:00<00:00, 342.97 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 50%|████▉ | 124/250 [00:00<00:00, 342.92 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 50%|█████ | 125/250 [00:00<00:00, 343.05 it/sec, feas=True, obj=0.202]
INFO - 10:04:32: 50%|█████ | 126/250 [00:00<00:00, 343.10 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 51%|█████ | 127/250 [00:00<00:00, 343.07 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 51%|█████ | 128/250 [00:00<00:00, 343.13 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 52%|█████▏ | 129/250 [00:00<00:00, 343.09 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 52%|█████▏ | 130/250 [00:00<00:00, 343.03 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 52%|█████▏ | 131/250 [00:00<00:00, 342.57 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: Optimization result:
INFO - 10:04:32: Optimizer info:
INFO - 10:04:32: Status: 0
INFO - 10:04:32: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:32: Solution:
INFO - 10:04:32: Objective: 0.17870206411466946
INFO - 10:04:32: Design space:
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: | left_asymptote | 0 | 0.002321218191916833 | 0.004875718376259649 | float |
INFO - 10:04:32: | capacity | 0.001670093229640868 | 0.005228339700286293 | 0.04875718376259649 | float |
INFO - 10:04:32: | growth_rate | 0.0003701647852990702 | 0.003331483067691632 | 0.003331483067691632 | float |
INFO - 10:04:32: | x_lag | 0 | 3472.188448300941 | 3472.380831364421 | float |
INFO - 10:04:32: | logistic_nu | 0.1 | 3.788326878600558 | 10 | float |
INFO - 10:04:32: | asymptote_coeff | 0.1 | 1.374889320769295 | 10 | float |
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: Optimization problem:
INFO - 10:04:32: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:32: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:32: over the design space:
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: | left_asymptote | 0 | 0.003205695361254677 | 0.004875718376259649 | float |
INFO - 10:04:32: | capacity | 0.001670093229640868 | 0.04285712366556583 | 0.04875718376259649 | float |
INFO - 10:04:32: | growth_rate | 0.0003701647852990702 | 0.001283297883270074 | 0.003331483067691632 | float |
INFO - 10:04:32: | x_lag | 0 | 315.8460250384398 | 3472.380831364421 | float |
INFO - 10:04:32: | logistic_nu | 0.1 | 1.720671591034137 | 10 | float |
INFO - 10:04:32: | asymptote_coeff | 0.1 | 6.258728338364227 | 10 | float |
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:32: 1%| | 2/250 [00:00<00:00, 252.52 it/sec, feas=True, obj=1]
INFO - 10:04:32: 1%| | 3/250 [00:00<00:00, 287.25 it/sec, feas=True, obj=0.809]
INFO - 10:04:32: 2%|▏ | 4/250 [00:00<00:00, 301.12 it/sec, feas=True, obj=0.272]
INFO - 10:04:32: 2%|▏ | 5/250 [00:00<00:00, 309.01 it/sec, feas=True, obj=0.282]
INFO - 10:04:32: 2%|▏ | 6/250 [00:00<00:00, 309.35 it/sec, feas=True, obj=0.269]
INFO - 10:04:32: 3%|▎ | 7/250 [00:00<00:00, 313.83 it/sec, feas=True, obj=0.269]
INFO - 10:04:32: 3%|▎ | 8/250 [00:00<00:00, 318.01 it/sec, feas=True, obj=0.269]
INFO - 10:04:32: 4%|▎ | 9/250 [00:00<00:00, 319.33 it/sec, feas=True, obj=0.269]
INFO - 10:04:32: Optimization result:
INFO - 10:04:32: Optimizer info:
INFO - 10:04:32: Status: None
INFO - 10:04:32: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:32: Solution:
INFO - 10:04:32: Objective: 0.2693204072461394
INFO - 10:04:32: Design space:
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: | left_asymptote | 0 | 0.002892651285809512 | 0.004875718376259649 | float |
INFO - 10:04:32: | capacity | 0.001670093229640868 | 0.03095889639047687 | 0.04875718376259649 | float |
INFO - 10:04:32: | growth_rate | 0.0003701647852990702 | 0.001115162145328794 | 0.003331483067691632 | float |
INFO - 10:04:32: | x_lag | 0 | 996.1318869346608 | 3472.380831364421 | float |
INFO - 10:04:32: | logistic_nu | 0.1 | 0.100011335127573 | 10 | float |
INFO - 10:04:32: | asymptote_coeff | 0.1 | 7.429508754429976 | 10 | float |
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: Optimization problem:
INFO - 10:04:32: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:32: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:32: over the design space:
INFO - 10:04:32: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:32: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:32: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:32: | left_asymptote | 0 | 0.0004708751982275081 | 0.004875718376259649 | float |
INFO - 10:04:32: | capacity | 0.001670093229640868 | 0.03492091489396094 | 0.04875718376259649 | float |
INFO - 10:04:32: | growth_rate | 0.0003701647852990702 | 0.001221897513832309 | 0.003331483067691632 | float |
INFO - 10:04:32: | x_lag | 0 | 3305.82487297616 | 3472.380831364421 | float |
INFO - 10:04:32: | logistic_nu | 0.1 | 6.787332013229979 | 10 | float |
INFO - 10:04:32: | asymptote_coeff | 0.1 | 1.867656520116681 | 10 | float |
INFO - 10:04:32: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:32: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:32: 1%| | 2/250 [00:00<00:00, 277.64 it/sec, feas=True, obj=1]
INFO - 10:04:32: 1%| | 3/250 [00:00<00:00, 311.87 it/sec, feas=True, obj=0.792]
INFO - 10:04:32: 2%|▏ | 4/250 [00:00<00:00, 318.44 it/sec, feas=True, obj=0.298]
INFO - 10:04:32: 2%|▏ | 5/250 [00:00<00:00, 323.17 it/sec, feas=True, obj=0.341]
INFO - 10:04:32: 2%|▏ | 6/250 [00:00<00:00, 328.30 it/sec, feas=True, obj=0.269]
INFO - 10:04:32: 3%|▎ | 7/250 [00:00<00:00, 331.91 it/sec, feas=True, obj=0.269]
INFO - 10:04:32: 3%|▎ | 8/250 [00:00<00:00, 330.32 it/sec, feas=True, obj=0.269]
INFO - 10:04:32: Optimization result:
INFO - 10:04:32: Optimizer info:
INFO - 10:04:32: Status: 0
INFO - 10:04:32: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:32: Solution:
INFO - 10:04:32: Objective: 0.26932041066370954
INFO - 10:04:32: Design space:
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: | left_asymptote | 0 | 0.002892651149770422 | 0.004875718376259649 | float |
INFO - 10:04:32: | capacity | 0.001670093229640868 | 0.001670093230147235 | 0.04875718376259649 | float |
INFO - 10:04:32: | growth_rate | 0.0003701647852990702 | 0.003331483067691632 | 0.003331483067691632 | float |
INFO - 10:04:32: | x_lag | 0 | 3472.38083136442 | 3472.380831364421 | float |
INFO - 10:04:32: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:32: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: Optimization problem:
INFO - 10:04:32: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:32: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:32: over the design space:
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: | left_asymptote | 0 | 0.003147691559823966 | 0.004875718376259649 | float |
INFO - 10:04:32: | capacity | 0.001670093229640868 | 0.03443777461097308 | 0.04875718376259649 | float |
INFO - 10:04:32: | growth_rate | 0.0003701647852990702 | 0.003243895800451499 | 0.003331483067691632 | float |
INFO - 10:04:32: | x_lag | 0 | 849.1607270663424 | 3472.380831364421 | float |
INFO - 10:04:32: | logistic_nu | 0.1 | 6.425630516779915 | 10 | float |
INFO - 10:04:32: | asymptote_coeff | 0.1 | 1.548411432916598 | 10 | float |
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:32: 1%| | 2/250 [00:00<00:00, 392.50 it/sec, feas=True, obj=0.379]
INFO - 10:04:32: 1%| | 3/250 [00:00<00:00, 402.68 it/sec, feas=True, obj=0.294]
INFO - 10:04:32: 2%|▏ | 4/250 [00:00<00:00, 369.71 it/sec, feas=True, obj=0.281]
INFO - 10:04:32: 2%|▏ | 5/250 [00:00<00:00, 353.59 it/sec, feas=True, obj=0.269]
INFO - 10:04:32: 2%|▏ | 6/250 [00:00<00:00, 354.46 it/sec, feas=True, obj=0.269]
INFO - 10:04:32: 3%|▎ | 7/250 [00:00<00:00, 353.46 it/sec, feas=True, obj=0.269]
INFO - 10:04:32: Optimization result:
INFO - 10:04:32: Optimizer info:
INFO - 10:04:32: Status: 0
INFO - 10:04:32: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:32: Solution:
INFO - 10:04:32: Objective: 0.2693204106636981
INFO - 10:04:32: Design space:
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: | left_asymptote | 0 | 0.002892650905879736 | 0.004875718376259649 | float |
INFO - 10:04:32: | capacity | 0.001670093229640868 | 0.001670093230340049 | 0.04875718376259649 | float |
INFO - 10:04:32: | growth_rate | 0.0003701647852990702 | 0.003331483067691632 | 0.003331483067691632 | float |
INFO - 10:04:32: | x_lag | 0 | 3472.38083136442 | 3472.380831364421 | float |
INFO - 10:04:32: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:32: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:32: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:32: Optimization problem:
INFO - 10:04:32: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:32: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:32: over the design space:
INFO - 10:04:32: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:32: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:32: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:32: | left_asymptote | 0 | 0.0009336299410621133 | 0.004875718376259649 | float |
INFO - 10:04:32: | capacity | 0.001670093229640868 | 0.004963472646186005 | 0.04875718376259649 | float |
INFO - 10:04:32: | growth_rate | 0.0003701647852990702 | 0.002975761176944462 | 0.003331483067691632 | float |
INFO - 10:04:32: | x_lag | 0 | 388.4460094705841 | 3472.380831364421 | float |
INFO - 10:04:32: | logistic_nu | 0.1 | 7.841656902223648 | 10 | float |
INFO - 10:04:32: | asymptote_coeff | 0.1 | 5.549818106841609 | 10 | float |
INFO - 10:04:32: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:32: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:32: 1%| | 2/250 [00:00<00:00, 326.91 it/sec, feas=True, obj=0.647]
INFO - 10:04:32: 1%| | 3/250 [00:00<00:00, 351.05 it/sec, feas=True, obj=0.267]
INFO - 10:04:32: 2%|▏ | 4/250 [00:00<00:00, 348.62 it/sec, feas=True, obj=0.267]
INFO - 10:04:32: 2%|▏ | 5/250 [00:00<00:00, 351.91 it/sec, feas=True, obj=0.266]
INFO - 10:04:32: 2%|▏ | 6/250 [00:00<00:00, 353.08 it/sec, feas=True, obj=0.266]
INFO - 10:04:32: 3%|▎ | 7/250 [00:00<00:00, 354.00 it/sec, feas=True, obj=0.266]
INFO - 10:04:32: 3%|▎ | 8/250 [00:00<00:00, 352.64 it/sec, feas=True, obj=0.266]
INFO - 10:04:32: 4%|▎ | 9/250 [00:00<00:00, 353.63 it/sec, feas=True, obj=0.265]
INFO - 10:04:32: 4%|▍ | 10/250 [00:00<00:00, 354.91 it/sec, feas=True, obj=0.26]
INFO - 10:04:32: 4%|▍ | 11/250 [00:00<00:00, 355.52 it/sec, feas=True, obj=0.26]
INFO - 10:04:32: 5%|▍ | 12/250 [00:00<00:00, 355.98 it/sec, feas=True, obj=0.26]
INFO - 10:04:32: 5%|▌ | 13/250 [00:00<00:00, 356.46 it/sec, feas=True, obj=0.26]
INFO - 10:04:32: 6%|▌ | 14/250 [00:00<00:00, 338.15 it/sec, feas=True, obj=0.26]
INFO - 10:04:32: 6%|▌ | 15/250 [00:00<00:00, 339.66 it/sec, feas=True, obj=0.259]
INFO - 10:04:32: 6%|▋ | 16/250 [00:00<00:00, 341.01 it/sec, feas=True, obj=0.228]
INFO - 10:04:32: 7%|▋ | 17/250 [00:00<00:00, 341.68 it/sec, feas=True, obj=0.249]
INFO - 10:04:32: 7%|▋ | 18/250 [00:00<00:00, 340.35 it/sec, feas=True, obj=0.228]
INFO - 10:04:32: 8%|▊ | 19/250 [00:00<00:00, 341.36 it/sec, feas=True, obj=0.651]
INFO - 10:04:32: 8%|▊ | 20/250 [00:00<00:00, 341.91 it/sec, feas=True, obj=0.227]
INFO - 10:04:32: 8%|▊ | 21/250 [00:00<00:00, 343.23 it/sec, feas=True, obj=0.713]
INFO - 10:04:32: 9%|▉ | 22/250 [00:00<00:00, 344.14 it/sec, feas=True, obj=0.589]
INFO - 10:04:32: 9%|▉ | 23/250 [00:00<00:00, 344.71 it/sec, feas=True, obj=0.225]
INFO - 10:04:32: 10%|▉ | 24/250 [00:00<00:00, 345.50 it/sec, feas=True, obj=0.224]
INFO - 10:04:32: 10%|█ | 25/250 [00:00<00:00, 345.39 it/sec, feas=True, obj=0.221]
INFO - 10:04:32: 10%|█ | 26/250 [00:00<00:00, 346.10 it/sec, feas=True, obj=0.219]
INFO - 10:04:32: 11%|█ | 27/250 [00:00<00:00, 345.97 it/sec, feas=True, obj=0.212]
INFO - 10:04:32: 11%|█ | 28/250 [00:00<00:00, 346.04 it/sec, feas=True, obj=0.387]
INFO - 10:04:32: 12%|█▏ | 29/250 [00:00<00:00, 346.34 it/sec, feas=True, obj=0.205]
INFO - 10:04:32: 12%|█▏ | 30/250 [00:00<00:00, 346.75 it/sec, feas=True, obj=0.361]
INFO - 10:04:32: 12%|█▏ | 31/250 [00:00<00:00, 347.36 it/sec, feas=True, obj=0.199]
INFO - 10:04:32: 13%|█▎ | 32/250 [00:00<00:00, 347.39 it/sec, feas=True, obj=0.257]
INFO - 10:04:32: 13%|█▎ | 33/250 [00:00<00:00, 347.32 it/sec, feas=True, obj=0.197]
INFO - 10:04:32: 14%|█▎ | 34/250 [00:00<00:00, 347.12 it/sec, feas=True, obj=0.194]
INFO - 10:04:32: 14%|█▍ | 35/250 [00:00<00:00, 347.14 it/sec, feas=True, obj=0.206]
INFO - 10:04:32: 14%|█▍ | 36/250 [00:00<00:00, 346.97 it/sec, feas=True, obj=0.191]
INFO - 10:04:32: 15%|█▍ | 37/250 [00:00<00:00, 341.36 it/sec, feas=True, obj=0.184]
INFO - 10:04:32: 15%|█▌ | 38/250 [00:00<00:00, 341.43 it/sec, feas=True, obj=0.183]
INFO - 10:04:32: 16%|█▌ | 39/250 [00:00<00:00, 341.84 it/sec, feas=True, obj=0.183]
INFO - 10:04:32: 16%|█▌ | 40/250 [00:00<00:00, 342.36 it/sec, feas=True, obj=0.183]
INFO - 10:04:32: 16%|█▋ | 41/250 [00:00<00:00, 342.79 it/sec, feas=True, obj=0.183]
INFO - 10:04:32: 17%|█▋ | 42/250 [00:00<00:00, 343.20 it/sec, feas=True, obj=0.182]
INFO - 10:04:32: 17%|█▋ | 43/250 [00:00<00:00, 343.83 it/sec, feas=True, obj=0.183]
INFO - 10:04:32: 18%|█▊ | 44/250 [00:00<00:00, 344.15 it/sec, feas=True, obj=0.182]
INFO - 10:04:32: 18%|█▊ | 45/250 [00:00<00:00, 344.59 it/sec, feas=True, obj=0.184]
INFO - 10:04:32: 18%|█▊ | 46/250 [00:00<00:00, 344.90 it/sec, feas=True, obj=0.182]
INFO - 10:04:32: 19%|█▉ | 47/250 [00:00<00:00, 345.25 it/sec, feas=True, obj=0.181]
INFO - 10:04:32: 19%|█▉ | 48/250 [00:00<00:00, 345.06 it/sec, feas=True, obj=0.18]
INFO - 10:04:32: 20%|█▉ | 49/250 [00:00<00:00, 345.31 it/sec, feas=True, obj=0.18]
INFO - 10:04:32: 20%|██ | 50/250 [00:00<00:00, 345.26 it/sec, feas=True, obj=0.181]
INFO - 10:04:32: 20%|██ | 51/250 [00:00<00:00, 345.12 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 21%|██ | 52/250 [00:00<00:00, 345.32 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 21%|██ | 53/250 [00:00<00:00, 345.25 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 22%|██▏ | 54/250 [00:00<00:00, 345.39 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 22%|██▏ | 55/250 [00:00<00:00, 345.62 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 22%|██▏ | 56/250 [00:00<00:00, 345.55 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 23%|██▎ | 57/250 [00:00<00:00, 345.70 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 23%|██▎ | 58/250 [00:00<00:00, 345.84 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 24%|██▎ | 59/250 [00:00<00:00, 342.28 it/sec, feas=True, obj=0.179]
INFO - 10:04:32: 24%|██▍ | 60/250 [00:00<00:00, 342.58 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 24%|██▍ | 61/250 [00:00<00:00, 342.83 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 25%|██▍ | 62/250 [00:00<00:00, 343.14 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 25%|██▌ | 63/250 [00:00<00:00, 343.41 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 26%|██▌ | 64/250 [00:00<00:00, 343.69 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 26%|██▌ | 65/250 [00:00<00:00, 344.01 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 26%|██▋ | 66/250 [00:00<00:00, 344.19 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 27%|██▋ | 67/250 [00:00<00:00, 344.41 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 27%|██▋ | 68/250 [00:00<00:00, 344.75 it/sec, feas=True, obj=0.188]
INFO - 10:04:33: 28%|██▊ | 69/250 [00:00<00:00, 345.04 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 28%|██▊ | 70/250 [00:00<00:00, 345.18 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 28%|██▊ | 71/250 [00:00<00:00, 345.38 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 29%|██▉ | 72/250 [00:00<00:00, 345.65 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 29%|██▉ | 73/250 [00:00<00:00, 345.88 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 30%|██▉ | 74/250 [00:00<00:00, 346.05 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 30%|███ | 75/250 [00:00<00:00, 346.19 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 30%|███ | 76/250 [00:00<00:00, 346.37 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 31%|███ | 77/250 [00:00<00:00, 346.69 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 31%|███ | 78/250 [00:00<00:00, 346.49 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 32%|███▏ | 79/250 [00:00<00:00, 346.61 it/sec, feas=True, obj=0.18]
INFO - 10:04:33: 32%|███▏ | 80/250 [00:00<00:00, 346.76 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 32%|███▏ | 81/250 [00:00<00:00, 344.10 it/sec, feas=True, obj=0.18]
INFO - 10:04:33: 33%|███▎ | 82/250 [00:00<00:00, 344.05 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 33%|███▎ | 83/250 [00:00<00:00, 344.30 it/sec, feas=True, obj=0.18]
INFO - 10:04:33: 34%|███▎ | 84/250 [00:00<00:00, 344.45 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 34%|███▍ | 85/250 [00:00<00:00, 344.56 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 34%|███▍ | 86/250 [00:00<00:00, 344.71 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 35%|███▍ | 87/250 [00:00<00:00, 344.94 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 35%|███▌ | 88/250 [00:00<00:00, 345.10 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 36%|███▌ | 89/250 [00:00<00:00, 345.25 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: Optimization result:
INFO - 10:04:33: Optimizer info:
INFO - 10:04:33: Status: None
INFO - 10:04:33: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:33: Solution:
INFO - 10:04:33: Objective: 0.1787020641153158
INFO - 10:04:33: Design space:
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: | left_asymptote | 0 | 0.002321228704540634 | 0.004875718376259649 | float |
INFO - 10:04:33: | capacity | 0.001670093229640868 | 0.005228749447016615 | 0.04875718376259649 | float |
INFO - 10:04:33: | growth_rate | 0.0003701647852990702 | 0.003331483067691632 | 0.003331483067691632 | float |
INFO - 10:04:33: | x_lag | 0 | 3472.33823771612 | 3472.380831364421 | float |
INFO - 10:04:33: | logistic_nu | 0.1 | 3.788256869336908 | 10 | float |
INFO - 10:04:33: | asymptote_coeff | 0.1 | 1.375631168426689 | 10 | float |
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: Optimization problem:
INFO - 10:04:33: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:33: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:33: over the design space:
INFO - 10:04:33: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:33: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:33: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:33: | left_asymptote | 0 | 0.0002007374171561742 | 0.004875718376259649 | float |
INFO - 10:04:33: | capacity | 0.001670093229640868 | 0.01338475902805864 | 0.04875718376259649 | float |
INFO - 10:04:33: | growth_rate | 0.0003701647852990702 | 0.002096345972231033 | 0.003331483067691632 | float |
INFO - 10:04:33: | x_lag | 0 | 2159.312590414674 | 3472.380831364421 | float |
INFO - 10:04:33: | logistic_nu | 0.1 | 5.62268233127262 | 10 | float |
INFO - 10:04:33: | asymptote_coeff | 0.1 | 8.355177201624285 | 10 | float |
INFO - 10:04:33: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:33: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:33: 1%| | 2/250 [00:00<00:00, 386.80 it/sec, feas=True, obj=1]
INFO - 10:04:33: 1%| | 3/250 [00:00<00:00, 399.84 it/sec, feas=True, obj=0.885]
INFO - 10:04:33: 2%|▏ | 4/250 [00:00<00:00, 391.15 it/sec, feas=True, obj=0.453]
INFO - 10:04:33: 2%|▏ | 5/250 [00:00<00:00, 387.12 it/sec, feas=True, obj=0.713]
INFO - 10:04:33: 2%|▏ | 6/250 [00:00<00:00, 382.77 it/sec, feas=True, obj=0.272]
INFO - 10:04:33: 3%|▎ | 7/250 [00:00<00:00, 379.80 it/sec, feas=True, obj=0.271]
INFO - 10:04:33: 3%|▎ | 8/250 [00:00<00:00, 378.02 it/sec, feas=True, obj=0.269]
INFO - 10:04:33: 4%|▎ | 9/250 [00:00<00:00, 376.44 it/sec, feas=True, obj=0.269]
INFO - 10:04:33: 4%|▍ | 10/250 [00:00<00:00, 373.81 it/sec, feas=True, obj=0.269]
INFO - 10:04:33: Optimization result:
INFO - 10:04:33: Optimizer info:
INFO - 10:04:33: Status: 0
INFO - 10:04:33: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:33: Solution:
INFO - 10:04:33: Objective: 0.2693204106636981
INFO - 10:04:33: Design space:
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: | left_asymptote | 0 | 0.002892650914121473 | 0.004875718376259649 | float |
INFO - 10:04:33: | capacity | 0.001670093229640868 | 0.001670093230301033 | 0.04875718376259649 | float |
INFO - 10:04:33: | growth_rate | 0.0003701647852990702 | 0.003331483067691632 | 0.003331483067691632 | float |
INFO - 10:04:33: | x_lag | 0 | 3472.38083136442 | 3472.380831364421 | float |
INFO - 10:04:33: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:33: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: Optimization problem:
INFO - 10:04:33: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:33: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:33: over the design space:
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: | left_asymptote | 0 | 0.0043481595413479 | 0.004875718376259649 | float |
INFO - 10:04:33: | capacity | 0.001670093229640868 | 0.02995234089602617 | 0.04875718376259649 | float |
INFO - 10:04:33: | growth_rate | 0.0003701647852990702 | 0.002828013152378436 | 0.003331483067691632 | float |
INFO - 10:04:33: | x_lag | 0 | 1881.250362875026 | 3472.380831364421 | float |
INFO - 10:04:33: | logistic_nu | 0.1 | 0.8873151181548338 | 10 | float |
INFO - 10:04:33: | asymptote_coeff | 0.1 | 3.019796092071068 | 10 | float |
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:33: 1%| | 2/250 [00:00<00:00, 284.31 it/sec, feas=True, obj=1]
INFO - 10:04:33: 1%| | 3/250 [00:00<00:00, 317.07 it/sec, feas=True, obj=0.524]
INFO - 10:04:33: 2%|▏ | 4/250 [00:00<00:00, 327.32 it/sec, feas=True, obj=0.713]
INFO - 10:04:33: 2%|▏ | 5/250 [00:00<00:00, 329.95 it/sec, feas=True, obj=0.272]
INFO - 10:04:33: 2%|▏ | 6/250 [00:00<00:00, 336.33 it/sec, feas=True, obj=0.272]
INFO - 10:04:33: 3%|▎ | 7/250 [00:00<00:00, 340.19 it/sec, feas=True, obj=0.269]
INFO - 10:04:33: 3%|▎ | 8/250 [00:00<00:00, 342.79 it/sec, feas=True, obj=0.269]
INFO - 10:04:33: 4%|▎ | 9/250 [00:00<00:00, 345.52 it/sec, feas=True, obj=0.269]
INFO - 10:04:33: Optimization result:
INFO - 10:04:33: Optimizer info:
INFO - 10:04:33: Status: None
INFO - 10:04:33: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:33: Solution:
INFO - 10:04:33: Objective: 0.269320393457224
INFO - 10:04:33: Design space:
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: | left_asymptote | 0 | 0.00289265464261185 | 0.004875718376259649 | float |
INFO - 10:04:33: | capacity | 0.001670093229640868 | 0.01832181381612626 | 0.04875718376259649 | float |
INFO - 10:04:33: | growth_rate | 0.0003701647852990702 | 0.003029938624118298 | 0.003331483067691632 | float |
INFO - 10:04:33: | x_lag | 0 | 2545.933332218814 | 3472.380831364421 | float |
INFO - 10:04:33: | logistic_nu | 0.1 | 0.100080013158838 | 10 | float |
INFO - 10:04:33: | asymptote_coeff | 0.1 | 5.960884708349697 | 10 | float |
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: Optimization problem:
INFO - 10:04:33: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:33: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:33: over the design space:
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: | left_asymptote | 0 | 0.002628647054780169 | 0.004875718376259649 | float |
INFO - 10:04:33: | capacity | 0.001670093229640868 | 0.04103927869939265 | 0.04875718376259649 | float |
INFO - 10:04:33: | growth_rate | 0.0003701647852990702 | 0.002467429325851234 | 0.003331483067691632 | float |
INFO - 10:04:33: | x_lag | 0 | 1995.752869566537 | 3472.380831364421 | float |
INFO - 10:04:33: | logistic_nu | 0.1 | 9.519289087607232 | 10 | float |
INFO - 10:04:33: | asymptote_coeff | 0.1 | 9.085777545900603 | 10 | float |
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:33: 1%| | 2/249 [00:00<00:00, 396.38 it/sec, feas=True, obj=0.862]
INFO - 10:04:33: 1%| | 3/249 [00:00<00:00, 406.42 it/sec, feas=True, obj=0.602]
INFO - 10:04:33: 2%|▏ | 4/249 [00:00<00:00, 396.83 it/sec, feas=True, obj=0.622]
INFO - 10:04:33: 2%|▏ | 5/249 [00:00<00:00, 383.39 it/sec, feas=True, obj=0.302]
INFO - 10:04:33: 2%|▏ | 6/249 [00:00<00:00, 378.85 it/sec, feas=True, obj=0.239]
INFO - 10:04:33: 3%|▎ | 7/249 [00:00<00:00, 376.72 it/sec, feas=True, obj=0.719]
INFO - 10:04:33: 3%|▎ | 8/249 [00:00<00:00, 375.55 it/sec, feas=True, obj=0.198]
INFO - 10:04:33: 4%|▎ | 9/249 [00:00<00:00, 374.84 it/sec, feas=True, obj=0.321]
INFO - 10:04:33: 4%|▍ | 10/249 [00:00<00:00, 373.33 it/sec, feas=True, obj=0.18]
INFO - 10:04:33: 4%|▍ | 11/249 [00:00<00:00, 372.52 it/sec, feas=True, obj=0.18]
INFO - 10:04:33: 5%|▍ | 12/249 [00:00<00:00, 372.46 it/sec, feas=True, obj=0.18]
INFO - 10:04:33: 5%|▌ | 13/249 [00:00<00:00, 371.64 it/sec, feas=True, obj=0.18]
INFO - 10:04:33: 6%|▌ | 14/249 [00:00<00:00, 370.26 it/sec, feas=True, obj=0.18]
INFO - 10:04:33: 6%|▌ | 15/249 [00:00<00:00, 369.72 it/sec, feas=True, obj=0.18]
INFO - 10:04:33: 6%|▋ | 16/249 [00:00<00:00, 369.30 it/sec, feas=True, obj=0.18]
INFO - 10:04:33: 7%|▋ | 17/249 [00:00<00:00, 369.17 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 7%|▋ | 18/249 [00:00<00:00, 368.57 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 8%|▊ | 19/249 [00:00<00:00, 368.18 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 8%|▊ | 20/249 [00:00<00:00, 366.92 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 8%|▊ | 21/249 [00:00<00:00, 366.34 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 9%|▉ | 22/249 [00:00<00:00, 365.95 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 9%|▉ | 23/249 [00:00<00:00, 365.47 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 10%|▉ | 24/249 [00:00<00:00, 364.97 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 10%|█ | 25/249 [00:00<00:00, 364.62 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 10%|█ | 26/249 [00:00<00:00, 364.35 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 11%|█ | 27/249 [00:00<00:00, 364.15 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 11%|█ | 28/249 [00:00<00:00, 363.90 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 12%|█▏ | 29/249 [00:00<00:00, 363.60 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 12%|█▏ | 30/249 [00:00<00:00, 363.35 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 12%|█▏ | 31/249 [00:00<00:00, 363.09 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 13%|█▎ | 32/249 [00:00<00:00, 363.19 it/sec, feas=True, obj=0.294]
INFO - 10:04:33: 13%|█▎ | 33/249 [00:00<00:00, 362.87 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 14%|█▎ | 34/249 [00:00<00:00, 362.69 it/sec, feas=True, obj=0.294]
INFO - 10:04:33: 14%|█▍ | 35/249 [00:00<00:00, 362.69 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 14%|█▍ | 36/249 [00:00<00:00, 362.49 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 15%|█▍ | 37/249 [00:00<00:00, 354.24 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 15%|█▌ | 38/249 [00:00<00:00, 354.31 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 16%|█▌ | 39/249 [00:00<00:00, 353.13 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 16%|█▌ | 40/249 [00:00<00:00, 353.32 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 16%|█▋ | 41/249 [00:00<00:00, 353.61 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 17%|█▋ | 42/249 [00:00<00:00, 353.59 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 17%|█▋ | 43/249 [00:00<00:00, 353.75 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 18%|█▊ | 44/249 [00:00<00:00, 353.82 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 18%|█▊ | 45/249 [00:00<00:00, 354.00 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 18%|█▊ | 46/249 [00:00<00:00, 354.07 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 19%|█▉ | 47/249 [00:00<00:00, 354.21 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 19%|█▉ | 48/249 [00:00<00:00, 354.35 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 20%|█▉ | 49/249 [00:00<00:00, 354.67 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 20%|██ | 50/249 [00:00<00:00, 354.79 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 20%|██ | 51/249 [00:00<00:00, 354.83 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 21%|██ | 52/249 [00:00<00:00, 355.01 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 21%|██▏ | 53/249 [00:00<00:00, 355.19 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 22%|██▏ | 54/249 [00:00<00:00, 355.42 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 22%|██▏ | 55/249 [00:00<00:00, 355.46 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 22%|██▏ | 56/249 [00:00<00:00, 355.34 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 23%|██▎ | 57/249 [00:00<00:00, 355.44 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 23%|██▎ | 58/249 [00:00<00:00, 355.58 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 24%|██▎ | 59/249 [00:00<00:00, 355.65 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 24%|██▍ | 60/249 [00:00<00:00, 355.68 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 24%|██▍ | 61/249 [00:00<00:00, 355.74 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 25%|██▍ | 62/249 [00:00<00:00, 355.93 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 25%|██▌ | 63/249 [00:00<00:00, 356.00 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 26%|██▌ | 64/249 [00:00<00:00, 356.13 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 26%|██▌ | 65/249 [00:00<00:00, 356.24 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 27%|██▋ | 66/249 [00:00<00:00, 356.33 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 27%|██▋ | 67/249 [00:00<00:00, 356.36 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 27%|██▋ | 68/249 [00:00<00:00, 356.40 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 28%|██▊ | 69/249 [00:00<00:00, 354.58 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 28%|██▊ | 70/249 [00:00<00:00, 354.75 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 29%|██▊ | 71/249 [00:00<00:00, 354.93 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 29%|██▉ | 72/249 [00:00<00:00, 355.07 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 29%|██▉ | 73/249 [00:00<00:00, 355.12 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 30%|██▉ | 74/249 [00:00<00:00, 355.34 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 30%|███ | 75/249 [00:00<00:00, 355.44 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 31%|███ | 76/249 [00:00<00:00, 355.53 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 31%|███ | 77/249 [00:00<00:00, 355.59 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 31%|███▏ | 78/249 [00:00<00:00, 355.77 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 32%|███▏ | 79/249 [00:00<00:00, 355.83 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 32%|███▏ | 80/249 [00:00<00:00, 355.84 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 33%|███▎ | 81/249 [00:00<00:00, 355.83 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 33%|███▎ | 82/249 [00:00<00:00, 355.91 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 33%|███▎ | 83/249 [00:00<00:00, 356.00 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 34%|███▎ | 84/249 [00:00<00:00, 355.86 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 34%|███▍ | 85/249 [00:00<00:00, 355.89 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 35%|███▍ | 86/249 [00:00<00:00, 355.71 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 35%|███▍ | 87/249 [00:00<00:00, 355.67 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 35%|███▌ | 88/249 [00:00<00:00, 355.79 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 36%|███▌ | 89/249 [00:00<00:00, 355.89 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 36%|███▌ | 90/249 [00:00<00:00, 355.91 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 37%|███▋ | 91/249 [00:00<00:00, 355.92 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 37%|███▋ | 92/249 [00:00<00:00, 356.02 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 37%|███▋ | 93/249 [00:00<00:00, 355.74 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 38%|███▊ | 94/249 [00:00<00:00, 355.48 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 38%|███▊ | 95/249 [00:00<00:00, 355.57 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 39%|███▊ | 96/249 [00:00<00:00, 355.61 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 39%|███▉ | 97/249 [00:00<00:00, 355.51 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 39%|███▉ | 98/249 [00:00<00:00, 355.52 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 40%|███▉ | 99/249 [00:00<00:00, 355.39 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 40%|████ | 100/249 [00:00<00:00, 355.27 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 41%|████ | 101/249 [00:00<00:00, 355.33 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 41%|████ | 102/249 [00:00<00:00, 355.34 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 41%|████▏ | 103/249 [00:00<00:00, 355.33 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 42%|████▏ | 104/249 [00:00<00:00, 355.25 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 42%|████▏ | 105/249 [00:00<00:00, 355.22 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 43%|████▎ | 106/249 [00:00<00:00, 355.15 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 43%|████▎ | 107/249 [00:00<00:00, 352.66 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 43%|████▎ | 108/249 [00:00<00:00, 352.77 it/sec, feas=True, obj=0.18]
INFO - 10:04:33: 44%|████▍ | 109/249 [00:00<00:00, 352.80 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 44%|████▍ | 110/249 [00:00<00:00, 352.86 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 45%|████▍ | 111/249 [00:00<00:00, 352.90 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 45%|████▍ | 112/249 [00:00<00:00, 353.05 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 45%|████▌ | 113/249 [00:00<00:00, 353.10 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 46%|████▌ | 114/249 [00:00<00:00, 353.18 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 46%|████▌ | 115/249 [00:00<00:00, 353.24 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 47%|████▋ | 116/249 [00:00<00:00, 353.27 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 47%|████▋ | 117/249 [00:00<00:00, 353.37 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 47%|████▋ | 118/249 [00:00<00:00, 353.46 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 48%|████▊ | 119/249 [00:00<00:00, 353.36 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 48%|████▊ | 120/249 [00:00<00:00, 353.45 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 49%|████▊ | 121/249 [00:00<00:00, 353.38 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 49%|████▉ | 122/249 [00:00<00:00, 353.42 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 49%|████▉ | 123/249 [00:00<00:00, 353.36 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 50%|████▉ | 124/249 [00:00<00:00, 353.33 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 50%|█████ | 125/249 [00:00<00:00, 353.33 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 51%|█████ | 126/249 [00:00<00:00, 351.55 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 51%|█████ | 127/249 [00:00<00:00, 351.51 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 51%|█████▏ | 128/249 [00:00<00:00, 351.57 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 52%|█████▏ | 129/249 [00:00<00:00, 351.66 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 52%|█████▏ | 130/249 [00:00<00:00, 351.70 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 53%|█████▎ | 131/249 [00:00<00:00, 351.43 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 53%|█████▎ | 132/249 [00:00<00:00, 351.35 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 53%|█████▎ | 133/249 [00:00<00:00, 351.42 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 54%|█████▍ | 134/249 [00:00<00:00, 351.52 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 54%|█████▍ | 135/249 [00:00<00:00, 351.47 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 55%|█████▍ | 136/249 [00:00<00:00, 351.43 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 55%|█████▌ | 137/249 [00:00<00:00, 351.40 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 55%|█████▌ | 138/249 [00:00<00:00, 351.31 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 56%|█████▌ | 139/249 [00:00<00:00, 351.38 it/sec, feas=True, obj=0.18]
INFO - 10:04:33: 56%|█████▌ | 140/249 [00:00<00:00, 351.33 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 57%|█████▋ | 141/249 [00:00<00:00, 351.45 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 57%|█████▋ | 142/249 [00:00<00:00, 351.44 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 57%|█████▋ | 143/249 [00:00<00:00, 351.42 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 58%|█████▊ | 144/249 [00:00<00:00, 351.32 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 58%|█████▊ | 145/249 [00:00<00:00, 351.37 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 59%|█████▊ | 146/249 [00:00<00:00, 351.40 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 59%|█████▉ | 147/249 [00:00<00:00, 349.70 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 59%|█████▉ | 148/249 [00:00<00:00, 349.67 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 60%|█████▉ | 149/249 [00:00<00:00, 349.77 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 60%|██████ | 150/249 [00:00<00:00, 349.83 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 61%|██████ | 151/249 [00:00<00:00, 349.93 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 61%|██████ | 152/249 [00:00<00:00, 350.04 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 61%|██████▏ | 153/249 [00:00<00:00, 350.10 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 62%|██████▏ | 154/249 [00:00<00:00, 350.16 it/sec, feas=True, obj=0.182]
INFO - 10:04:33: 62%|██████▏ | 155/249 [00:00<00:00, 350.10 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 63%|██████▎ | 156/249 [00:00<00:00, 348.68 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 63%|██████▎ | 157/249 [00:00<00:00, 348.75 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 63%|██████▎ | 158/249 [00:00<00:00, 348.67 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 64%|██████▍ | 159/249 [00:00<00:00, 348.71 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 64%|██████▍ | 160/249 [00:00<00:00, 348.75 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 65%|██████▍ | 161/249 [00:00<00:00, 348.69 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 65%|██████▌ | 162/249 [00:00<00:00, 348.73 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 65%|██████▌ | 163/249 [00:00<00:00, 348.77 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 66%|██████▌ | 164/249 [00:00<00:00, 348.87 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: 66%|██████▋ | 165/249 [00:00<00:00, 348.82 it/sec, feas=True, obj=0.179]
INFO - 10:04:33: Optimization result:
INFO - 10:04:33: Optimizer info:
INFO - 10:04:33: Status: None
INFO - 10:04:33: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:33: Solution:
INFO - 10:04:33: Objective: 0.17870206411468875
INFO - 10:04:33: Design space:
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: | left_asymptote | 0 | 0.002321217335318343 | 0.004875718376259649 | float |
INFO - 10:04:33: | capacity | 0.001670093229640868 | 0.005228830000782215 | 0.04875718376259649 | float |
INFO - 10:04:33: | growth_rate | 0.0003701647852990702 | 0.003331483067691632 | 0.003331483067691632 | float |
INFO - 10:04:33: | x_lag | 0 | 3472.38083136442 | 3472.380831364421 | float |
INFO - 10:04:33: | logistic_nu | 0.1 | 3.788331468060766 | 10 | float |
INFO - 10:04:33: | asymptote_coeff | 0.1 | 1.375763735963662 | 10 | float |
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: Optimization result:
INFO - 10:04:33: Optimizer info:
INFO - 10:04:33: Status: None
INFO - 10:04:33: Message: None
INFO - 10:04:33: Solution:
INFO - 10:04:33: Objective: 0.17870206411466136
INFO - 10:04:33: Design space:
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: | left_asymptote | 0 | 0.00232121879860815 | 0.004875718376259649 | float |
INFO - 10:04:33: | capacity | 0.001670093229640868 | 0.005228070280481255 | 0.04875718376259649 | float |
INFO - 10:04:33: | growth_rate | 0.0003701647852990702 | 0.003331483067691632 | 0.003331483067691632 | float |
INFO - 10:04:33: | x_lag | 0 | 3472.082664564079 | 3472.380831364421 | float |
INFO - 10:04:33: | logistic_nu | 0.1 | 3.788323376851445 | 10 | float |
INFO - 10:04:33: | asymptote_coeff | 0.1 | 1.374404057093684 | 10 | float |
INFO - 10:04:33: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:33: *** End MDOScenario execution ***
BOL {'left_asymptote': array([0.00232122]), 'capacity': array([0.00522807]), 'growth_rate': array([0.00333148]), 'x_lag': array([3472.08266456]), 'logistic_nu': array([3.78832338]), 'asymptote_coeff': array([1.37440406])}
INFO - 10:04:33: *** Start MDOScenario execution ***
INFO - 10:04:33: MDOScenario
INFO - 10:04:33: Disciplines: JAXChain
INFO - 10:04:33: MDO formulation: DisciplinaryOpt
INFO - 10:04:33: Optimization problem:
INFO - 10:04:33: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:33: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:33: over the design space:
INFO - 10:04:33: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:33: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:33: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:33: | left_asymptote | 0 | 0.001428869758313996 | 0.005013383816827143 | float |
INFO - 10:04:33: | capacity | 0.001428869758313996 | 0.005013383816827143 | 0.05013383816827143 | float |
INFO - 10:04:33: | growth_rate | 0.0001220219568980951 | 0.0006101097844904754 | 0.001098197612082856 | float |
INFO - 10:04:33: | x_lag | 0 | 6600.279083093945 | 13200.55816618789 | float |
INFO - 10:04:33: | logistic_nu | 0.1 | 1 | 10 | float |
INFO - 10:04:33: | asymptote_coeff | 0.1 | 1 | 10 | float |
INFO - 10:04:33: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:33: Solving optimization problem with algorithm MultiStart:
INFO - 10:04:33: Optimization problem:
INFO - 10:04:33: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:33: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:33: over the design space:
INFO - 10:04:33: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:33: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:33: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:33: | left_asymptote | 0 | 0.002858447074100996 | 0.005013383816827143 | float |
INFO - 10:04:33: | capacity | 0.001428869758313996 | 0.02379986212289065 | 0.05013383816827143 | float |
INFO - 10:04:33: | growth_rate | 0.0001220219568980951 | 0.0001910720354080848 | 0.001098197612082856 | float |
INFO - 10:04:33: | x_lag | 0 | 11759.4287966961 | 13200.55816618789 | float |
INFO - 10:04:33: | logistic_nu | 0.1 | 7.368669008241702 | 10 | float |
INFO - 10:04:33: | asymptote_coeff | 0.1 | 7.989486619901931 | 10 | float |
INFO - 10:04:33: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:33: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:33: 1%| | 2/250 [00:00<00:18, 13.62 it/sec, feas=True, obj=0.85]
INFO - 10:04:33: 1%| | 3/250 [00:00<00:12, 20.13 it/sec, feas=True, obj=0.624]
INFO - 10:04:33: 2%|▏ | 4/250 [00:00<00:09, 26.40 it/sec, feas=True, obj=0.457]
INFO - 10:04:33: 2%|▏ | 5/250 [00:00<00:07, 32.47 it/sec, feas=True, obj=0.387]
INFO - 10:04:33: 2%|▏ | 6/250 [00:00<00:06, 38.27 it/sec, feas=True, obj=0.701]
INFO - 10:04:33: 3%|▎ | 7/250 [00:00<00:05, 43.87 it/sec, feas=True, obj=0.351]
INFO - 10:04:33: 3%|▎ | 8/250 [00:00<00:05, 48.20 it/sec, feas=True, obj=0.377]
INFO - 10:04:33: 4%|▎ | 9/250 [00:00<00:04, 53.33 it/sec, feas=True, obj=0.337]
INFO - 10:04:33: 4%|▍ | 10/250 [00:00<00:04, 58.05 it/sec, feas=True, obj=0.323]
INFO - 10:04:33: 4%|▍ | 11/250 [00:00<00:03, 62.78 it/sec, feas=True, obj=0.321]
INFO - 10:04:33: 5%|▍ | 12/250 [00:00<00:03, 67.44 it/sec, feas=True, obj=0.321]
INFO - 10:04:33: 5%|▌ | 13/250 [00:00<00:03, 71.95 it/sec, feas=True, obj=0.321]
INFO - 10:04:33: 6%|▌ | 14/250 [00:00<00:03, 76.32 it/sec, feas=True, obj=0.32]
INFO - 10:04:33: 6%|▌ | 15/250 [00:00<00:02, 80.56 it/sec, feas=True, obj=0.32]
INFO - 10:04:33: 6%|▋ | 16/250 [00:00<00:02, 84.12 it/sec, feas=True, obj=0.319]
INFO - 10:04:33: 7%|▋ | 17/250 [00:00<00:02, 88.02 it/sec, feas=True, obj=0.318]
INFO - 10:04:33: 7%|▋ | 18/250 [00:00<00:02, 91.83 it/sec, feas=True, obj=0.315]
INFO - 10:04:34: 8%|▊ | 19/250 [00:00<00:02, 95.50 it/sec, feas=True, obj=0.313]
INFO - 10:04:34: 8%|▊ | 20/250 [00:00<00:02, 99.06 it/sec, feas=True, obj=0.312]
INFO - 10:04:34: 8%|▊ | 21/250 [00:00<00:02, 102.51 it/sec, feas=True, obj=0.334]
INFO - 10:04:34: 9%|▉ | 22/250 [00:00<00:02, 105.87 it/sec, feas=True, obj=0.31]
INFO - 10:04:34: 9%|▉ | 23/250 [00:00<00:02, 109.16 it/sec, feas=True, obj=0.744]
INFO - 10:04:34: 10%|▉ | 24/250 [00:00<00:02, 112.35 it/sec, feas=True, obj=1.05]
INFO - 10:04:34: 10%|█ | 25/250 [00:00<00:01, 115.49 it/sec, feas=True, obj=0.308]
INFO - 10:04:34: 10%|█ | 26/250 [00:00<00:01, 118.60 it/sec, feas=True, obj=0.564]
INFO - 10:04:34: 11%|█ | 27/250 [00:00<00:01, 121.67 it/sec, feas=True, obj=0.306]
INFO - 10:04:34: 11%|█ | 28/250 [00:00<00:01, 124.58 it/sec, feas=True, obj=0.275]
INFO - 10:04:34: 12%|█▏ | 29/250 [00:00<00:01, 127.45 it/sec, feas=True, obj=0.298]
INFO - 10:04:34: 12%|█▏ | 30/250 [00:00<00:01, 130.24 it/sec, feas=True, obj=0.272]
INFO - 10:04:34: 12%|█▏ | 31/250 [00:00<00:01, 133.00 it/sec, feas=True, obj=0.744]
INFO - 10:04:34: 13%|█▎ | 32/250 [00:00<00:01, 135.73 it/sec, feas=True, obj=1.43]
INFO - 10:04:34: 13%|█▎ | 33/250 [00:00<00:01, 138.34 it/sec, feas=True, obj=0.295]
INFO - 10:04:34: 14%|█▎ | 34/250 [00:00<00:01, 140.84 it/sec, feas=True, obj=0.251]
INFO - 10:04:34: 14%|█▍ | 35/250 [00:00<00:01, 142.79 it/sec, feas=True, obj=0.605]
INFO - 10:04:34: 14%|█▍ | 36/250 [00:00<00:01, 145.24 it/sec, feas=True, obj=0.251]
INFO - 10:04:34: 15%|█▍ | 37/250 [00:00<00:01, 147.56 it/sec, feas=True, obj=0.432]
INFO - 10:04:34: 15%|█▌ | 38/250 [00:00<00:01, 149.80 it/sec, feas=True, obj=0.218]
INFO - 10:04:34: 16%|█▌ | 39/250 [00:00<00:01, 152.01 it/sec, feas=True, obj=0.234]
INFO - 10:04:34: 16%|█▌ | 40/250 [00:00<00:01, 154.17 it/sec, feas=True, obj=0.194]
INFO - 10:04:34: 16%|█▋ | 41/250 [00:00<00:01, 156.31 it/sec, feas=True, obj=0.552]
INFO - 10:04:34: 17%|█▋ | 42/250 [00:00<00:01, 158.50 it/sec, feas=True, obj=0.309]
INFO - 10:04:34: 17%|█▋ | 43/250 [00:00<00:01, 160.58 it/sec, feas=True, obj=0.17]
INFO - 10:04:34: 18%|█▊ | 44/250 [00:00<00:01, 162.56 it/sec, feas=True, obj=0.686]
INFO - 10:04:34: 18%|█▊ | 45/250 [00:00<00:01, 164.47 it/sec, feas=True, obj=0.154]
INFO - 10:04:34: 18%|█▊ | 46/250 [00:00<00:01, 166.42 it/sec, feas=True, obj=0.15]
INFO - 10:04:34: 19%|█▉ | 47/250 [00:00<00:01, 168.38 it/sec, feas=True, obj=1]
INFO - 10:04:34: 19%|█▉ | 48/250 [00:00<00:01, 170.28 it/sec, feas=True, obj=0.149]
INFO - 10:04:34: 20%|█▉ | 49/250 [00:00<00:01, 172.16 it/sec, feas=True, obj=0.154]
INFO - 10:04:34: 20%|██ | 50/250 [00:00<00:01, 173.97 it/sec, feas=True, obj=0.147]
INFO - 10:04:34: 20%|██ | 51/250 [00:00<00:01, 175.75 it/sec, feas=True, obj=0.147]
INFO - 10:04:34: 21%|██ | 52/250 [00:00<00:01, 177.52 it/sec, feas=True, obj=0.147]
INFO - 10:04:34: 21%|██ | 53/250 [00:00<00:01, 179.24 it/sec, feas=True, obj=0.147]
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INFO - 10:04:34: 55%|█████▍ | 137/250 [00:00<00:00, 253.84 it/sec, feas=True, obj=0.14]
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INFO - 10:04:34: 71%|███████ | 178/250 [00:00<00:00, 268.00 it/sec, feas=True, obj=0.137]
INFO - 10:04:34: 72%|███████▏ | 179/250 [00:00<00:00, 268.30 it/sec, feas=True, obj=0.137]
INFO - 10:04:34: 72%|███████▏ | 180/250 [00:00<00:00, 268.61 it/sec, feas=True, obj=0.605]
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INFO - 10:04:34: 74%|███████▍ | 186/250 [00:00<00:00, 270.37 it/sec, feas=True, obj=0.137]
INFO - 10:04:34: 75%|███████▍ | 187/250 [00:00<00:00, 270.64 it/sec, feas=True, obj=0.137]
INFO - 10:04:34: 75%|███████▌ | 188/250 [00:00<00:00, 270.91 it/sec, feas=True, obj=0.137]
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INFO - 10:04:34: 81%|████████ | 202/250 [00:00<00:00, 274.22 it/sec, feas=True, obj=0.137]
INFO - 10:04:34: 81%|████████ | 203/250 [00:00<00:00, 274.52 it/sec, feas=True, obj=0.174]
INFO - 10:04:34: 82%|████████▏ | 204/250 [00:00<00:00, 274.78 it/sec, feas=True, obj=0.137]
INFO - 10:04:34: 82%|████████▏ | 205/250 [00:00<00:00, 275.11 it/sec, feas=True, obj=0.166]
INFO - 10:04:34: 82%|████████▏ | 206/250 [00:00<00:00, 275.44 it/sec, feas=True, obj=0.137]
INFO - 10:04:34: 83%|████████▎ | 207/250 [00:00<00:00, 275.77 it/sec, feas=True, obj=0.166]
INFO - 10:04:34: 83%|████████▎ | 208/250 [00:00<00:00, 275.98 it/sec, feas=True, obj=0.137]
INFO - 10:04:34: 84%|████████▎ | 209/250 [00:00<00:00, 276.29 it/sec, feas=True, obj=0.166]
INFO - 10:04:34: 84%|████████▍ | 210/250 [00:00<00:00, 276.21 it/sec, feas=True, obj=0.137]
INFO - 10:04:34: 84%|████████▍ | 211/250 [00:00<00:00, 276.52 it/sec, feas=True, obj=0.166]
INFO - 10:04:34: 85%|████████▍ | 212/250 [00:00<00:00, 276.81 it/sec, feas=True, obj=0.137]
INFO - 10:04:34: 85%|████████▌ | 213/250 [00:00<00:00, 277.11 it/sec, feas=True, obj=0.166]
INFO - 10:04:34: 86%|████████▌ | 214/250 [00:00<00:00, 277.04 it/sec, feas=True, obj=0.137]
INFO - 10:04:34: Optimization result:
INFO - 10:04:34: Optimizer info:
INFO - 10:04:34: Status: 0
INFO - 10:04:34: Message: CONVERGENCE: RELATIVE REDUCTION OF F <= FACTR*EPSMCH
INFO - 10:04:34: Solution:
INFO - 10:04:34: Objective: 0.13731437066868635
INFO - 10:04:34: Design space:
INFO - 10:04:34: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:34: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:34: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:34: | left_asymptote | 0 | 0 | 0.005013383816827143 | float |
INFO - 10:04:34: | capacity | 0.001428869758313996 | 0.04922639242965883 | 0.05013383816827143 | float |
INFO - 10:04:34: | growth_rate | 0.0001220219568980951 | 0.0002321698412403479 | 0.001098197612082856 | float |
INFO - 10:04:34: | x_lag | 0 | 0 | 13200.55816618789 | float |
INFO - 10:04:34: | logistic_nu | 0.1 | 0.337988018976518 | 10 | float |
INFO - 10:04:34: | asymptote_coeff | 0.1 | 2.189058408184867 | 10 | float |
INFO - 10:04:34: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:34: Optimization problem:
INFO - 10:04:34: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:34: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:34: over the design space:
INFO - 10:04:34: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:34: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:34: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:34: | left_asymptote | 0 | 0.001739295948792545 | 0.005013383816827143 | float |
INFO - 10:04:34: | capacity | 0.001428869758313996 | 0.008496435705969247 | 0.05013383816827143 | float |
INFO - 10:04:34: | growth_rate | 0.0001220219568980951 | 0.0002807837523593688 | 0.001098197612082856 | float |
INFO - 10:04:34: | x_lag | 0 | 8593.830576074621 | 13200.55816618789 | float |
INFO - 10:04:34: | logistic_nu | 0.1 | 0.5484496378270003 | 10 | float |
INFO - 10:04:34: | asymptote_coeff | 0.1 | 4.282038415160894 | 10 | float |
INFO - 10:04:34: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:34: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:34: 1%| | 2/250 [00:00<00:00, 372.69 it/sec, feas=True, obj=7.95]
INFO - 10:04:34: 1%| | 3/250 [00:00<00:00, 376.35 it/sec, feas=True, obj=0.513]
INFO - 10:04:34: 2%|▏ | 4/250 [00:00<00:00, 370.87 it/sec, feas=True, obj=0.217]
INFO - 10:04:34: 2%|▏ | 5/250 [00:00<00:00, 369.54 it/sec, feas=True, obj=0.322]
INFO - 10:04:34: 2%|▏ | 6/250 [00:00<00:00, 367.40 it/sec, feas=True, obj=0.212]
INFO - 10:04:34: 3%|▎ | 7/250 [00:00<00:00, 361.79 it/sec, feas=True, obj=0.209]
INFO - 10:04:34: 3%|▎ | 8/250 [00:00<00:00, 360.78 it/sec, feas=True, obj=0.199]
INFO - 10:04:34: 4%|▎ | 9/250 [00:00<00:00, 359.45 it/sec, feas=True, obj=0.167]
INFO - 10:04:34: 4%|▍ | 10/250 [00:00<00:00, 356.96 it/sec, feas=True, obj=0.152]
INFO - 10:04:34: 4%|▍ | 11/250 [00:00<00:00, 356.80 it/sec, feas=True, obj=0.151]
INFO - 10:04:34: 5%|▍ | 12/250 [00:00<00:00, 355.08 it/sec, feas=True, obj=0.149]
INFO - 10:04:34: 5%|▌ | 13/250 [00:00<00:00, 353.87 it/sec, feas=True, obj=0.149]
INFO - 10:04:34: 6%|▌ | 14/250 [00:00<00:00, 354.21 it/sec, feas=True, obj=0.149]
INFO - 10:04:34: 6%|▌ | 15/250 [00:00<00:00, 354.27 it/sec, feas=True, obj=0.148]
INFO - 10:04:34: 6%|▋ | 16/250 [00:00<00:00, 354.35 it/sec, feas=True, obj=0.145]
INFO - 10:04:34: 7%|▋ | 17/250 [00:00<00:00, 354.73 it/sec, feas=True, obj=0.148]
INFO - 10:04:34: 7%|▋ | 18/250 [00:00<00:00, 354.89 it/sec, feas=True, obj=0.142]
INFO - 10:04:34: 8%|▊ | 19/250 [00:00<00:00, 353.28 it/sec, feas=True, obj=0.142]
INFO - 10:04:34: 8%|▊ | 20/250 [00:00<00:00, 353.55 it/sec, feas=True, obj=0.141]
INFO - 10:04:34: 8%|▊ | 21/250 [00:00<00:00, 353.55 it/sec, feas=True, obj=0.14]
INFO - 10:04:34: 9%|▉ | 22/250 [00:00<00:00, 353.78 it/sec, feas=True, obj=0.14]
INFO - 10:04:34: 9%|▉ | 23/250 [00:00<00:00, 352.77 it/sec, feas=True, obj=0.14]
INFO - 10:04:34: 10%|▉ | 24/250 [00:00<00:00, 353.12 it/sec, feas=True, obj=0.262]
INFO - 10:04:34: 10%|█ | 25/250 [00:00<00:00, 353.16 it/sec, feas=True, obj=0.14]
INFO - 10:04:34: 10%|█ | 26/250 [00:00<00:00, 352.27 it/sec, feas=True, obj=0.14]
INFO - 10:04:34: 11%|█ | 27/250 [00:00<00:00, 352.67 it/sec, feas=True, obj=0.14]
INFO - 10:04:34: 11%|█ | 28/250 [00:00<00:00, 352.67 it/sec, feas=True, obj=0.14]
INFO - 10:04:34: 12%|█▏ | 29/250 [00:00<00:00, 352.76 it/sec, feas=True, obj=0.14]
INFO - 10:04:34: 12%|█▏ | 30/250 [00:00<00:00, 352.06 it/sec, feas=True, obj=0.14]
INFO - 10:04:34: 12%|█▏ | 31/250 [00:00<00:00, 352.10 it/sec, feas=True, obj=0.254]
INFO - 10:04:34: 13%|█▎ | 32/250 [00:00<00:00, 352.13 it/sec, feas=True, obj=0.14]
INFO - 10:04:34: 13%|█▎ | 33/250 [00:00<00:00, 351.50 it/sec, feas=True, obj=0.14]
INFO - 10:04:34: 14%|█▎ | 34/250 [00:00<00:00, 351.77 it/sec, feas=True, obj=0.14]
INFO - 10:04:34: 14%|█▍ | 35/250 [00:00<00:00, 351.84 it/sec, feas=True, obj=0.14]
INFO - 10:04:34: 14%|█▍ | 36/250 [00:00<00:00, 352.05 it/sec, feas=True, obj=0.257]
INFO - 10:04:34: 15%|█▍ | 37/250 [00:00<00:00, 352.06 it/sec, feas=True, obj=0.14]
INFO - 10:04:34: 15%|█▌ | 38/250 [00:00<00:00, 352.08 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 16%|█▌ | 39/250 [00:00<00:00, 351.61 it/sec, feas=True, obj=0.259]
INFO - 10:04:34: 16%|█▌ | 40/250 [00:00<00:00, 351.04 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 16%|█▋ | 41/250 [00:00<00:00, 351.22 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 17%|█▋ | 42/250 [00:00<00:00, 351.39 it/sec, feas=True, obj=0.256]
INFO - 10:04:34: 17%|█▋ | 43/250 [00:00<00:00, 351.47 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 18%|█▊ | 44/250 [00:00<00:00, 351.65 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 18%|█▊ | 45/250 [00:00<00:00, 351.32 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 18%|█▊ | 46/250 [00:00<00:00, 350.91 it/sec, feas=True, obj=0.14]
INFO - 10:04:34: 19%|█▉ | 47/250 [00:00<00:00, 350.45 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 19%|█▉ | 48/250 [00:00<00:00, 350.55 it/sec, feas=True, obj=0.258]
INFO - 10:04:34: 20%|█▉ | 49/250 [00:00<00:00, 350.64 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 20%|██ | 50/250 [00:00<00:00, 350.61 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 20%|██ | 51/250 [00:00<00:00, 350.73 it/sec, feas=True, obj=0.242]
INFO - 10:04:34: 21%|██ | 52/250 [00:00<00:00, 350.16 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 21%|██ | 53/250 [00:00<00:00, 350.16 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 22%|██▏ | 54/250 [00:00<00:00, 350.11 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 22%|██▏ | 55/250 [00:00<00:00, 350.23 it/sec, feas=True, obj=0.14]
INFO - 10:04:34: 22%|██▏ | 56/250 [00:00<00:00, 350.23 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 23%|██▎ | 57/250 [00:00<00:00, 349.80 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 23%|██▎ | 58/250 [00:00<00:00, 349.39 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 24%|██▎ | 59/250 [00:00<00:00, 349.47 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 24%|██▍ | 60/250 [00:00<00:00, 349.10 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 24%|██▍ | 61/250 [00:00<00:00, 348.79 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 25%|██▍ | 62/250 [00:00<00:00, 348.86 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 25%|██▌ | 63/250 [00:00<00:00, 348.85 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 26%|██▌ | 64/250 [00:00<00:00, 348.93 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 26%|██▌ | 65/250 [00:00<00:00, 348.99 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 26%|██▋ | 66/250 [00:00<00:00, 349.11 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 27%|██▋ | 67/250 [00:00<00:00, 348.82 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 27%|██▋ | 68/250 [00:00<00:00, 348.90 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 28%|██▊ | 69/250 [00:00<00:00, 349.05 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 28%|██▊ | 70/250 [00:00<00:00, 349.20 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 28%|██▊ | 71/250 [00:00<00:00, 349.25 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 29%|██▉ | 72/250 [00:00<00:00, 349.36 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 29%|██▉ | 73/250 [00:00<00:00, 349.41 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 30%|██▉ | 74/250 [00:00<00:00, 349.15 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 30%|███ | 75/250 [00:00<00:00, 349.25 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 30%|███ | 76/250 [00:00<00:00, 349.39 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 31%|███ | 77/250 [00:00<00:00, 349.37 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 31%|███ | 78/250 [00:00<00:00, 348.97 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 32%|███▏ | 79/250 [00:00<00:00, 348.94 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 32%|███▏ | 80/250 [00:00<00:00, 348.59 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 32%|███▏ | 81/250 [00:00<00:00, 348.65 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 33%|███▎ | 82/250 [00:00<00:00, 348.64 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 33%|███▎ | 83/250 [00:00<00:00, 348.36 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 34%|███▎ | 84/250 [00:00<00:00, 348.34 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 34%|███▍ | 85/250 [00:00<00:00, 348.43 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 34%|███▍ | 86/250 [00:00<00:00, 348.19 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 35%|███▍ | 87/250 [00:00<00:00, 348.20 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 35%|███▌ | 88/250 [00:00<00:00, 348.33 it/sec, feas=True, obj=0.148]
INFO - 10:04:34: 36%|███▌ | 89/250 [00:00<00:00, 348.45 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 36%|███▌ | 90/250 [00:00<00:00, 348.49 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 36%|███▋ | 91/250 [00:00<00:00, 348.49 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 37%|███▋ | 92/250 [00:00<00:00, 348.54 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 37%|███▋ | 93/250 [00:00<00:00, 348.35 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 38%|███▊ | 94/250 [00:00<00:00, 348.40 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 38%|███▊ | 95/250 [00:00<00:00, 348.19 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 38%|███▊ | 96/250 [00:00<00:00, 348.28 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 39%|███▉ | 97/250 [00:00<00:00, 348.32 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 39%|███▉ | 98/250 [00:00<00:00, 348.09 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 40%|███▉ | 99/250 [00:00<00:00, 348.07 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 40%|████ | 100/250 [00:00<00:00, 348.08 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 40%|████ | 101/250 [00:00<00:00, 348.05 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 41%|████ | 102/250 [00:00<00:00, 348.06 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 41%|████ | 103/250 [00:00<00:00, 348.03 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 42%|████▏ | 104/250 [00:00<00:00, 347.94 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 42%|████▏ | 105/250 [00:00<00:00, 347.78 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 42%|████▏ | 106/250 [00:00<00:00, 347.57 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 43%|████▎ | 107/250 [00:00<00:00, 347.61 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 43%|████▎ | 108/250 [00:00<00:00, 347.63 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 44%|████▎ | 109/250 [00:00<00:00, 347.72 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 44%|████▍ | 110/250 [00:00<00:00, 347.63 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 44%|████▍ | 111/250 [00:00<00:00, 347.65 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 45%|████▍ | 112/250 [00:00<00:00, 347.64 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 45%|████▌ | 113/250 [00:00<00:00, 347.31 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 46%|████▌ | 114/250 [00:00<00:00, 347.21 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 46%|████▌ | 115/250 [00:00<00:00, 347.28 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 46%|████▋ | 116/250 [00:00<00:00, 347.20 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 47%|████▋ | 117/250 [00:00<00:00, 347.29 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 47%|████▋ | 118/250 [00:00<00:00, 347.37 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 48%|████▊ | 119/250 [00:00<00:00, 347.23 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 48%|████▊ | 120/250 [00:00<00:00, 347.33 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 48%|████▊ | 121/250 [00:00<00:00, 347.17 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 49%|████▉ | 122/250 [00:00<00:00, 347.09 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 49%|████▉ | 123/250 [00:00<00:00, 347.00 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 50%|████▉ | 124/250 [00:00<00:00, 347.02 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 50%|█████ | 125/250 [00:00<00:00, 347.07 it/sec, feas=True, obj=0.202]
INFO - 10:04:34: 50%|█████ | 126/250 [00:00<00:00, 347.12 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 51%|█████ | 127/250 [00:00<00:00, 347.16 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 51%|█████ | 128/250 [00:00<00:00, 347.26 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 52%|█████▏ | 129/250 [00:00<00:00, 347.06 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 52%|█████▏ | 130/250 [00:00<00:00, 347.07 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 52%|█████▏ | 131/250 [00:00<00:00, 347.03 it/sec, feas=True, obj=0.195]
INFO - 10:04:34: 53%|█████▎ | 132/250 [00:00<00:00, 347.02 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 53%|█████▎ | 133/250 [00:00<00:00, 346.95 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 54%|█████▎ | 134/250 [00:00<00:00, 346.64 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 54%|█████▍ | 135/250 [00:00<00:00, 346.67 it/sec, feas=True, obj=0.163]
INFO - 10:04:34: 54%|█████▍ | 136/250 [00:00<00:00, 346.57 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 55%|█████▍ | 137/250 [00:00<00:00, 346.37 it/sec, feas=True, obj=0.139]
INFO - 10:04:34: 55%|█████▌ | 138/250 [00:00<00:00, 346.29 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 56%|█████▌ | 139/250 [00:00<00:00, 346.24 it/sec, feas=True, obj=0.154]
INFO - 10:04:34: 56%|█████▌ | 140/250 [00:00<00:00, 346.25 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 56%|█████▋ | 141/250 [00:00<00:00, 346.21 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 57%|█████▋ | 142/250 [00:00<00:00, 346.12 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 57%|█████▋ | 143/250 [00:00<00:00, 345.90 it/sec, feas=True, obj=0.15]
INFO - 10:04:34: 58%|█████▊ | 144/250 [00:00<00:00, 345.81 it/sec, feas=True, obj=0.138]
INFO - 10:04:34: 58%|█████▊ | 145/250 [00:00<00:00, 345.83 it/sec, feas=True, obj=0.141]
INFO - 10:04:35: 58%|█████▊ | 146/250 [00:00<00:00, 345.69 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 59%|█████▉ | 147/250 [00:00<00:00, 345.62 it/sec, feas=True, obj=0.165]
INFO - 10:04:35: 59%|█████▉ | 148/250 [00:00<00:00, 345.54 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 60%|█████▉ | 149/250 [00:00<00:00, 345.50 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 60%|██████ | 150/250 [00:00<00:00, 345.42 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 60%|██████ | 151/250 [00:00<00:00, 345.24 it/sec, feas=True, obj=0.168]
INFO - 10:04:35: 61%|██████ | 152/250 [00:00<00:00, 345.27 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 61%|██████ | 153/250 [00:00<00:00, 345.25 it/sec, feas=True, obj=0.14]
INFO - 10:04:35: 62%|██████▏ | 154/250 [00:00<00:00, 345.20 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 62%|██████▏ | 155/250 [00:00<00:00, 345.17 it/sec, feas=True, obj=0.147]
INFO - 10:04:35: 62%|██████▏ | 156/250 [00:00<00:00, 345.21 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 63%|██████▎ | 157/250 [00:00<00:00, 345.34 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 63%|██████▎ | 158/250 [00:00<00:00, 345.11 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 64%|██████▎ | 159/250 [00:00<00:00, 345.10 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 64%|██████▍ | 160/250 [00:00<00:00, 345.14 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 64%|██████▍ | 161/250 [00:00<00:00, 345.13 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 65%|██████▍ | 162/250 [00:00<00:00, 345.06 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 65%|██████▌ | 163/250 [00:00<00:00, 345.06 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 66%|██████▌ | 164/250 [00:00<00:00, 344.90 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 66%|██████▌ | 165/250 [00:00<00:00, 344.80 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 66%|██████▋ | 166/250 [00:00<00:00, 344.70 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 67%|██████▋ | 167/250 [00:00<00:00, 343.70 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 67%|██████▋ | 168/250 [00:00<00:00, 343.69 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 68%|██████▊ | 169/250 [00:00<00:00, 343.77 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 68%|██████▊ | 170/250 [00:00<00:00, 343.85 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 68%|██████▊ | 171/250 [00:00<00:00, 343.92 it/sec, feas=True, obj=0.169]
INFO - 10:04:35: 69%|██████▉ | 172/250 [00:00<00:00, 343.99 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 69%|██████▉ | 173/250 [00:00<00:00, 344.08 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 70%|██████▉ | 174/250 [00:00<00:00, 344.21 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 70%|███████ | 175/250 [00:00<00:00, 344.30 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 70%|███████ | 176/250 [00:00<00:00, 344.33 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 71%|███████ | 177/250 [00:00<00:00, 343.10 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 71%|███████ | 178/250 [00:00<00:00, 343.19 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 72%|███████▏ | 179/250 [00:00<00:00, 343.27 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 72%|███████▏ | 180/250 [00:00<00:00, 343.26 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 72%|███████▏ | 181/250 [00:00<00:00, 343.24 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 73%|███████▎ | 182/250 [00:00<00:00, 343.23 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: Optimization result:
INFO - 10:04:35: Optimizer info:
INFO - 10:04:35: Status: None
INFO - 10:04:35: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:35: Solution:
INFO - 10:04:35: Objective: 0.13731127684506345
INFO - 10:04:35: Design space:
INFO - 10:04:35: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:35: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:35: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:35: | left_asymptote | 0 | 0 | 0.005013383816827143 | float |
INFO - 10:04:35: | capacity | 0.001428869758313996 | 0.05013379107078236 | 0.05013383816827143 | float |
INFO - 10:04:35: | growth_rate | 0.0001220219568980951 | 0.0002321670904136392 | 0.001098197612082856 | float |
INFO - 10:04:35: | x_lag | 0 | 0 | 13200.55816618789 | float |
INFO - 10:04:35: | logistic_nu | 0.1 | 0.3368275756453457 | 10 | float |
INFO - 10:04:35: | asymptote_coeff | 0.1 | 2.196551306068107 | 10 | float |
INFO - 10:04:35: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:35: Optimization problem:
INFO - 10:04:35: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:35: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:35: over the design space:
INFO - 10:04:35: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:35: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:35: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:35: | left_asymptote | 0 | 0.003900720093152922 | 0.005013383816827143 | float |
INFO - 10:04:35: | capacity | 0.001428869758313996 | 0.01813967334611224 | 0.05013383816827143 | float |
INFO - 10:04:35: | growth_rate | 0.0001220219568980951 | 0.0003451010642779519 | 0.001098197612082856 | float |
INFO - 10:04:35: | x_lag | 0 | 2274.089876099217 | 13200.55816618789 | float |
INFO - 10:04:35: | logistic_nu | 0.1 | 4.260096820785328 | 10 | float |
INFO - 10:04:35: | asymptote_coeff | 0.1 | 9.734456184588874 | 10 | float |
INFO - 10:04:35: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:35: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:35: 1%| | 2/250 [00:00<00:00, 385.05 it/sec, feas=True, obj=0.859]
INFO - 10:04:35: 1%| | 3/250 [00:00<00:00, 399.20 it/sec, feas=True, obj=0.466]
INFO - 10:04:35: 2%|▏ | 4/250 [00:00<00:00, 388.12 it/sec, feas=True, obj=2.36]
INFO - 10:04:35: 2%|▏ | 5/250 [00:00<00:00, 382.07 it/sec, feas=True, obj=0.352]
INFO - 10:04:35: 2%|▏ | 6/250 [00:00<00:00, 379.37 it/sec, feas=True, obj=0.997]
INFO - 10:04:35: 3%|▎ | 7/250 [00:00<00:00, 373.15 it/sec, feas=True, obj=0.315]
INFO - 10:04:35: 3%|▎ | 8/250 [00:00<00:00, 372.26 it/sec, feas=True, obj=0.573]
INFO - 10:04:35: 4%|▎ | 9/250 [00:00<00:00, 370.44 it/sec, feas=True, obj=0.311]
INFO - 10:04:35: 4%|▍ | 10/250 [00:00<00:00, 368.87 it/sec, feas=True, obj=0.311]
INFO - 10:04:35: 4%|▍ | 11/250 [00:00<00:00, 366.72 it/sec, feas=True, obj=0.31]
INFO - 10:04:35: 5%|▍ | 12/250 [00:00<00:00, 364.45 it/sec, feas=True, obj=0.309]
INFO - 10:04:35: 5%|▌ | 13/250 [00:00<00:00, 363.38 it/sec, feas=True, obj=0.408]
INFO - 10:04:35: 6%|▌ | 14/250 [00:00<00:00, 363.39 it/sec, feas=True, obj=0.299]
INFO - 10:04:35: 6%|▌ | 15/250 [00:00<00:00, 360.57 it/sec, feas=True, obj=0.294]
INFO - 10:04:35: 6%|▋ | 16/250 [00:00<00:00, 359.84 it/sec, feas=True, obj=0.293]
INFO - 10:04:35: 7%|▋ | 17/250 [00:00<00:00, 359.57 it/sec, feas=True, obj=0.29]
INFO - 10:04:35: 7%|▋ | 18/250 [00:00<00:00, 359.40 it/sec, feas=True, obj=0.332]
INFO - 10:04:35: 8%|▊ | 19/250 [00:00<00:00, 359.42 it/sec, feas=True, obj=0.288]
INFO - 10:04:35: 8%|▊ | 20/250 [00:00<00:00, 358.65 it/sec, feas=True, obj=0.258]
INFO - 10:04:35: 8%|▊ | 21/250 [00:00<00:00, 359.28 it/sec, feas=True, obj=1]
INFO - 10:04:35: 9%|▉ | 22/250 [00:00<00:00, 359.48 it/sec, feas=True, obj=0.228]
INFO - 10:04:35: 9%|▉ | 23/250 [00:00<00:00, 359.84 it/sec, feas=True, obj=0.291]
INFO - 10:04:35: 10%|▉ | 24/250 [00:00<00:00, 360.10 it/sec, feas=True, obj=0.224]
INFO - 10:04:35: 10%|█ | 25/250 [00:00<00:00, 360.61 it/sec, feas=True, obj=6.58]
INFO - 10:04:35: 10%|█ | 26/250 [00:00<00:00, 360.76 it/sec, feas=True, obj=0.791]
INFO - 10:04:35: 11%|█ | 27/250 [00:00<00:00, 360.87 it/sec, feas=True, obj=0.223]
INFO - 10:04:35: 11%|█ | 28/250 [00:00<00:00, 361.29 it/sec, feas=True, obj=0.21]
INFO - 10:04:35: 12%|█▏ | 29/250 [00:00<00:00, 361.59 it/sec, feas=True, obj=0.311]
INFO - 10:04:35: 12%|█▏ | 30/250 [00:00<00:00, 360.99 it/sec, feas=True, obj=0.202]
INFO - 10:04:35: 12%|█▏ | 31/250 [00:00<00:00, 361.05 it/sec, feas=True, obj=1.56]
INFO - 10:04:35: 13%|█▎ | 32/250 [00:00<00:00, 361.18 it/sec, feas=True, obj=0.202]
INFO - 10:04:35: 13%|█▎ | 33/250 [00:00<00:00, 361.19 it/sec, feas=True, obj=0.199]
INFO - 10:04:35: 14%|█▎ | 34/250 [00:00<00:00, 361.27 it/sec, feas=True, obj=0.545]
INFO - 10:04:35: 14%|█▍ | 35/250 [00:00<00:00, 360.96 it/sec, feas=True, obj=0.191]
INFO - 10:04:35: 14%|█▍ | 36/250 [00:00<00:00, 361.10 it/sec, feas=True, obj=1.53]
INFO - 10:04:35: 15%|█▍ | 37/250 [00:00<00:00, 353.37 it/sec, feas=True, obj=0.191]
INFO - 10:04:35: 15%|█▌ | 38/250 [00:00<00:00, 353.14 it/sec, feas=True, obj=0.188]
INFO - 10:04:35: 16%|█▌ | 39/250 [00:00<00:00, 353.38 it/sec, feas=True, obj=0.609]
INFO - 10:04:35: 16%|█▌ | 40/250 [00:00<00:00, 353.13 it/sec, feas=True, obj=0.18]
INFO - 10:04:35: 16%|█▋ | 41/250 [00:00<00:00, 353.39 it/sec, feas=True, obj=1.77]
INFO - 10:04:35: 17%|█▋ | 42/250 [00:00<00:00, 353.34 it/sec, feas=True, obj=0.183]
INFO - 10:04:35: 17%|█▋ | 43/250 [00:00<00:00, 353.65 it/sec, feas=True, obj=0.177]
INFO - 10:04:35: 18%|█▊ | 44/250 [00:00<00:00, 353.56 it/sec, feas=True, obj=0.56]
INFO - 10:04:35: 18%|█▊ | 45/250 [00:00<00:00, 353.15 it/sec, feas=True, obj=0.168]
INFO - 10:04:35: 18%|█▊ | 46/250 [00:00<00:00, 353.12 it/sec, feas=True, obj=1.84]
INFO - 10:04:35: 19%|█▉ | 47/250 [00:00<00:00, 352.98 it/sec, feas=True, obj=0.173]
INFO - 10:04:35: 19%|█▉ | 48/250 [00:00<00:00, 353.14 it/sec, feas=True, obj=0.165]
INFO - 10:04:35: 20%|█▉ | 49/250 [00:00<00:00, 353.51 it/sec, feas=True, obj=0.414]
INFO - 10:04:35: 20%|██ | 50/250 [00:00<00:00, 353.68 it/sec, feas=True, obj=0.157]
INFO - 10:04:35: 20%|██ | 51/250 [00:00<00:00, 353.58 it/sec, feas=True, obj=11.9]
INFO - 10:04:35: 21%|██ | 52/250 [00:00<00:00, 353.47 it/sec, feas=True, obj=1.18]
INFO - 10:04:35: 21%|██ | 53/250 [00:00<00:00, 353.30 it/sec, feas=True, obj=0.156]
INFO - 10:04:35: 22%|██▏ | 54/250 [00:00<00:00, 353.16 it/sec, feas=True, obj=0.186]
INFO - 10:04:35: 22%|██▏ | 55/250 [00:00<00:00, 348.63 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 22%|██▏ | 56/250 [00:00<00:00, 348.49 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 23%|██▎ | 57/250 [00:00<00:00, 348.73 it/sec, feas=True, obj=0.769]
INFO - 10:04:35: 23%|██▎ | 58/250 [00:00<00:00, 348.97 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 24%|██▎ | 59/250 [00:00<00:00, 349.25 it/sec, feas=True, obj=0.242]
INFO - 10:04:35: 24%|██▍ | 60/250 [00:00<00:00, 349.36 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 24%|██▍ | 61/250 [00:00<00:00, 349.68 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 25%|██▍ | 62/250 [00:00<00:00, 349.81 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 25%|██▌ | 63/250 [00:00<00:00, 349.80 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 26%|██▌ | 64/250 [00:00<00:00, 349.66 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 26%|██▌ | 65/250 [00:00<00:00, 346.96 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 26%|██▋ | 66/250 [00:00<00:00, 346.87 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 27%|██▋ | 67/250 [00:00<00:00, 346.92 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 27%|██▋ | 68/250 [00:00<00:00, 344.93 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 28%|██▊ | 69/250 [00:00<00:00, 344.92 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 28%|██▊ | 70/250 [00:00<00:00, 345.06 it/sec, feas=True, obj=0.145]
INFO - 10:04:35: 28%|██▊ | 71/250 [00:00<00:00, 345.00 it/sec, feas=True, obj=0.145]
INFO - 10:04:35: 29%|██▉ | 72/250 [00:00<00:00, 345.15 it/sec, feas=True, obj=0.145]
INFO - 10:04:35: 29%|██▉ | 73/250 [00:00<00:00, 345.23 it/sec, feas=True, obj=0.144]
INFO - 10:04:35: 30%|██▉ | 74/250 [00:00<00:00, 345.39 it/sec, feas=True, obj=0.172]
INFO - 10:04:35: 30%|███ | 75/250 [00:00<00:00, 345.42 it/sec, feas=True, obj=0.144]
INFO - 10:04:35: 30%|███ | 76/250 [00:00<00:00, 345.53 it/sec, feas=True, obj=0.152]
INFO - 10:04:35: 31%|███ | 77/250 [00:00<00:00, 345.62 it/sec, feas=True, obj=0.144]
INFO - 10:04:35: 31%|███ | 78/250 [00:00<00:00, 345.78 it/sec, feas=True, obj=0.144]
INFO - 10:04:35: 32%|███▏ | 79/250 [00:00<00:00, 345.85 it/sec, feas=True, obj=0.144]
INFO - 10:04:35: 32%|███▏ | 80/250 [00:00<00:00, 345.76 it/sec, feas=True, obj=0.142]
INFO - 10:04:35: 32%|███▏ | 81/250 [00:00<00:00, 345.83 it/sec, feas=True, obj=0.142]
INFO - 10:04:35: 33%|███▎ | 82/250 [00:00<00:00, 345.83 it/sec, feas=True, obj=0.2]
INFO - 10:04:35: 33%|███▎ | 83/250 [00:00<00:00, 346.01 it/sec, feas=True, obj=0.141]
INFO - 10:04:35: 34%|███▎ | 84/250 [00:00<00:00, 346.14 it/sec, feas=True, obj=0.141]
INFO - 10:04:35: 34%|███▍ | 85/250 [00:00<00:00, 343.13 it/sec, feas=True, obj=0.141]
INFO - 10:04:35: 34%|███▍ | 86/250 [00:00<00:00, 343.17 it/sec, feas=True, obj=0.14]
INFO - 10:04:35: 35%|███▍ | 87/250 [00:00<00:00, 343.40 it/sec, feas=True, obj=0.339]
INFO - 10:04:35: 35%|███▌ | 88/250 [00:00<00:00, 343.56 it/sec, feas=True, obj=0.14]
INFO - 10:04:35: 36%|███▌ | 89/250 [00:00<00:00, 343.75 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 36%|███▌ | 90/250 [00:00<00:00, 343.83 it/sec, feas=True, obj=0.141]
INFO - 10:04:35: 36%|███▋ | 91/250 [00:00<00:00, 344.02 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 37%|███▋ | 92/250 [00:00<00:00, 344.20 it/sec, feas=True, obj=0.322]
INFO - 10:04:35: 37%|███▋ | 93/250 [00:00<00:00, 344.34 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 38%|███▊ | 94/250 [00:00<00:00, 344.49 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 38%|███▊ | 95/250 [00:00<00:00, 344.77 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 38%|███▊ | 96/250 [00:00<00:00, 344.89 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 39%|███▉ | 97/250 [00:00<00:00, 344.81 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 39%|███▉ | 98/250 [00:00<00:00, 344.90 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 40%|███▉ | 99/250 [00:00<00:00, 345.11 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 40%|████ | 100/250 [00:00<00:00, 345.24 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 40%|████ | 101/250 [00:00<00:00, 345.49 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 41%|████ | 102/250 [00:00<00:00, 345.60 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 41%|████ | 103/250 [00:00<00:00, 345.74 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 42%|████▏ | 104/250 [00:00<00:00, 345.89 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 42%|████▏ | 105/250 [00:00<00:00, 343.39 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 42%|████▏ | 106/250 [00:00<00:00, 343.42 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 43%|████▎ | 107/250 [00:00<00:00, 343.42 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 43%|████▎ | 108/250 [00:00<00:00, 343.51 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 44%|████▎ | 109/250 [00:00<00:00, 343.48 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 44%|████▍ | 110/250 [00:00<00:00, 343.59 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 44%|████▍ | 111/250 [00:00<00:00, 343.69 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 45%|████▍ | 112/250 [00:00<00:00, 343.84 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 45%|████▌ | 113/250 [00:00<00:00, 344.00 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 46%|████▌ | 114/250 [00:00<00:00, 344.11 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 46%|████▌ | 115/250 [00:00<00:00, 344.22 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 46%|████▋ | 116/250 [00:00<00:00, 344.35 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 47%|████▋ | 117/250 [00:00<00:00, 344.51 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 47%|████▋ | 118/250 [00:00<00:00, 344.63 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 48%|████▊ | 119/250 [00:00<00:00, 344.79 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 48%|████▊ | 120/250 [00:00<00:00, 344.95 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 48%|████▊ | 121/250 [00:00<00:00, 345.14 it/sec, feas=True, obj=0.267]
INFO - 10:04:35: 49%|████▉ | 122/250 [00:00<00:00, 345.30 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 49%|████▉ | 123/250 [00:00<00:00, 345.41 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 50%|████▉ | 124/250 [00:00<00:00, 345.57 it/sec, feas=True, obj=0.323]
INFO - 10:04:35: 50%|█████ | 125/250 [00:00<00:00, 344.55 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 50%|█████ | 126/250 [00:00<00:00, 344.56 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 51%|█████ | 127/250 [00:00<00:00, 344.54 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 51%|█████ | 128/250 [00:00<00:00, 344.63 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 52%|█████▏ | 129/250 [00:00<00:00, 344.72 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 52%|█████▏ | 130/250 [00:00<00:00, 344.82 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 52%|█████▏ | 131/250 [00:00<00:00, 344.97 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 53%|█████▎ | 132/250 [00:00<00:00, 345.10 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 53%|█████▎ | 133/250 [00:00<00:00, 345.18 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 54%|█████▎ | 134/250 [00:00<00:00, 345.25 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 54%|█████▍ | 135/250 [00:00<00:00, 345.39 it/sec, feas=True, obj=3.27]
INFO - 10:04:35: 54%|█████▍ | 136/250 [00:00<00:00, 345.54 it/sec, feas=True, obj=0.344]
INFO - 10:04:35: 55%|█████▍ | 137/250 [00:00<00:00, 345.65 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 55%|█████▌ | 138/250 [00:00<00:00, 345.74 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 56%|█████▌ | 139/250 [00:00<00:00, 345.83 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 56%|█████▌ | 140/250 [00:00<00:00, 345.92 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 56%|█████▋ | 141/250 [00:00<00:00, 346.07 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 57%|█████▋ | 142/250 [00:00<00:00, 345.32 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 57%|█████▋ | 143/250 [00:00<00:00, 345.40 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 58%|█████▊ | 144/250 [00:00<00:00, 345.50 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 58%|█████▊ | 145/250 [00:00<00:00, 345.59 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 58%|█████▊ | 146/250 [00:00<00:00, 345.67 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 59%|█████▉ | 147/250 [00:00<00:00, 345.77 it/sec, feas=True, obj=0.139]
INFO - 10:04:35: 59%|█████▉ | 148/250 [00:00<00:00, 345.87 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 60%|█████▉ | 149/250 [00:00<00:00, 345.96 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 60%|██████ | 150/250 [00:00<00:00, 346.08 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 60%|██████ | 151/250 [00:00<00:00, 345.39 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 61%|██████ | 152/250 [00:00<00:00, 345.33 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 61%|██████ | 153/250 [00:00<00:00, 345.18 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 62%|██████▏ | 154/250 [00:00<00:00, 345.14 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 62%|██████▏ | 155/250 [00:00<00:00, 345.11 it/sec, feas=True, obj=0.148]
INFO - 10:04:35: 62%|██████▏ | 156/250 [00:00<00:00, 345.11 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 63%|██████▎ | 157/250 [00:00<00:00, 345.12 it/sec, feas=True, obj=1.62]
INFO - 10:04:35: 63%|██████▎ | 158/250 [00:00<00:00, 345.29 it/sec, feas=True, obj=0.142]
INFO - 10:04:35: 64%|██████▎ | 159/250 [00:00<00:00, 345.26 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 64%|██████▍ | 160/250 [00:00<00:00, 345.17 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 64%|██████▍ | 161/250 [00:00<00:00, 345.12 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 65%|██████▍ | 162/250 [00:00<00:00, 345.11 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 65%|██████▌ | 163/250 [00:00<00:00, 345.09 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 66%|██████▌ | 164/250 [00:00<00:00, 345.09 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 66%|██████▌ | 165/250 [00:00<00:00, 345.02 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 66%|██████▋ | 166/250 [00:00<00:00, 345.05 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 67%|██████▋ | 167/250 [00:00<00:00, 345.01 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 67%|██████▋ | 168/250 [00:00<00:00, 344.90 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 68%|██████▊ | 169/250 [00:00<00:00, 344.96 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 68%|██████▊ | 170/250 [00:00<00:00, 344.97 it/sec, feas=True, obj=0.14]
INFO - 10:04:35: 68%|██████▊ | 171/250 [00:00<00:00, 345.06 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 69%|██████▉ | 172/250 [00:00<00:00, 345.15 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 69%|██████▉ | 173/250 [00:00<00:00, 345.13 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 70%|██████▉ | 174/250 [00:00<00:00, 345.07 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 70%|███████ | 175/250 [00:00<00:00, 345.04 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 70%|███████ | 176/250 [00:00<00:00, 345.00 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 71%|███████ | 177/250 [00:00<00:00, 343.87 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 71%|███████ | 178/250 [00:00<00:00, 343.86 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 72%|███████▏ | 179/250 [00:00<00:00, 343.98 it/sec, feas=True, obj=0.138]
INFO - 10:04:35: 72%|███████▏ | 180/250 [00:00<00:00, 343.94 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 72%|███████▏ | 181/250 [00:00<00:00, 343.88 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 73%|███████▎ | 182/250 [00:00<00:00, 343.97 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 73%|███████▎ | 183/250 [00:00<00:00, 344.04 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 74%|███████▎ | 184/250 [00:00<00:00, 344.12 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 74%|███████▍ | 185/250 [00:00<00:00, 343.36 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 74%|███████▍ | 186/250 [00:00<00:00, 343.43 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 75%|███████▍ | 187/250 [00:00<00:00, 343.48 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 75%|███████▌ | 188/250 [00:00<00:00, 343.53 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 76%|███████▌ | 189/250 [00:00<00:00, 343.57 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 76%|███████▌ | 190/250 [00:00<00:00, 343.62 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 76%|███████▋ | 191/250 [00:00<00:00, 343.68 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 77%|███████▋ | 192/250 [00:00<00:00, 343.76 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 77%|███████▋ | 193/250 [00:00<00:00, 343.82 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 78%|███████▊ | 194/250 [00:00<00:00, 343.86 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 78%|███████▊ | 195/250 [00:00<00:00, 343.91 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 78%|███████▊ | 196/250 [00:00<00:00, 343.97 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 79%|███████▉ | 197/250 [00:00<00:00, 344.01 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 79%|███████▉ | 198/250 [00:00<00:00, 344.07 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: 80%|███████▉ | 199/250 [00:00<00:00, 344.12 it/sec, feas=True, obj=0.137]
INFO - 10:04:35: Optimization result:
INFO - 10:04:35: Optimizer info:
INFO - 10:04:35: Status: None
INFO - 10:04:35: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:35: Solution:
INFO - 10:04:35: Objective: 0.1373114392314692
INFO - 10:04:35: Design space:
INFO - 10:04:35: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:35: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:35: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:35: | left_asymptote | 0 | 0 | 0.005013383816827143 | float |
INFO - 10:04:35: | capacity | 0.001428869758313996 | 0.05008442875705141 | 0.05013383816827143 | float |
INFO - 10:04:35: | growth_rate | 0.0001220219568980951 | 0.0002321706628291198 | 0.001098197612082856 | float |
INFO - 10:04:35: | x_lag | 0 | 0 | 13200.55816618789 | float |
INFO - 10:04:35: | logistic_nu | 0.1 | 0.336884913237286 | 10 | float |
INFO - 10:04:35: | asymptote_coeff | 0.1 | 2.196118085146453 | 10 | float |
INFO - 10:04:35: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:35: Optimization problem:
INFO - 10:04:35: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:35: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:35: over the design space:
INFO - 10:04:35: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:35: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:35: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:35: | left_asymptote | 0 | 0.00201976714937103 | 0.005013383816827143 | float |
INFO - 10:04:35: | capacity | 0.001428869758313996 | 0.02589252102766048 | 0.05013383816827143 | float |
INFO - 10:04:35: | growth_rate | 0.0001220219568980951 | 0.0007211136232972759 | 0.001098197612082856 | float |
INFO - 10:04:35: | x_lag | 0 | 249.1630870542893 | 13200.55816618789 | float |
INFO - 10:04:35: | logistic_nu | 0.1 | 2.587510942749914 | 10 | float |
INFO - 10:04:35: | asymptote_coeff | 0.1 | 0.7930309738998174 | 10 | float |
INFO - 10:04:35: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:35: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:35: 1%| | 2/250 [00:00<00:00, 382.31 it/sec, feas=True, obj=0.529]
INFO - 10:04:35: 1%| | 3/250 [00:00<00:00, 385.71 it/sec, feas=True, obj=1.91]
INFO - 10:04:35: 2%|▏ | 4/250 [00:00<00:00, 378.94 it/sec, feas=True, obj=0.314]
INFO - 10:04:35: 2%|▏ | 5/250 [00:00<00:00, 375.79 it/sec, feas=True, obj=0.314]
INFO - 10:04:35: 2%|▏ | 6/250 [00:00<00:00, 373.16 it/sec, feas=True, obj=0.314]
INFO - 10:04:35: 3%|▎ | 7/250 [00:00<00:00, 370.97 it/sec, feas=True, obj=0.314]
INFO - 10:04:35: 3%|▎ | 8/250 [00:00<00:00, 370.15 it/sec, feas=True, obj=0.314]
INFO - 10:04:35: 4%|▎ | 9/250 [00:00<00:00, 369.26 it/sec, feas=True, obj=0.314]
INFO - 10:04:35: 4%|▍ | 10/250 [00:00<00:00, 368.26 it/sec, feas=True, obj=0.313]
INFO - 10:04:35: 4%|▍ | 11/250 [00:00<00:00, 367.06 it/sec, feas=True, obj=0.21]
INFO - 10:04:35: 5%|▍ | 12/250 [00:00<00:00, 364.22 it/sec, feas=True, obj=0.48]
INFO - 10:04:35: 5%|▌ | 13/250 [00:00<00:00, 363.92 it/sec, feas=True, obj=0.189]
INFO - 10:04:35: 6%|▌ | 14/250 [00:00<00:00, 363.67 it/sec, feas=True, obj=0.187]
INFO - 10:04:35: 6%|▌ | 15/250 [00:00<00:00, 363.86 it/sec, feas=True, obj=0.259]
INFO - 10:04:35: 6%|▋ | 16/250 [00:00<00:00, 363.50 it/sec, feas=True, obj=0.187]
INFO - 10:04:35: 7%|▋ | 17/250 [00:00<00:00, 363.15 it/sec, feas=True, obj=0.177]
INFO - 10:04:35: 7%|▋ | 18/250 [00:00<00:00, 361.49 it/sec, feas=True, obj=0.157]
INFO - 10:04:35: 8%|▊ | 19/250 [00:00<00:00, 361.43 it/sec, feas=True, obj=0.153]
INFO - 10:04:35: 8%|▊ | 20/250 [00:00<00:00, 361.27 it/sec, feas=True, obj=0.153]
INFO - 10:04:35: 8%|▊ | 21/250 [00:00<00:00, 360.31 it/sec, feas=True, obj=0.153]
INFO - 10:04:35: 9%|▉ | 22/250 [00:00<00:00, 360.09 it/sec, feas=True, obj=0.153]
INFO - 10:04:35: 9%|▉ | 23/250 [00:00<00:00, 359.85 it/sec, feas=True, obj=0.153]
INFO - 10:04:35: 10%|▉ | 24/250 [00:00<00:00, 359.68 it/sec, feas=True, obj=0.152]
INFO - 10:04:35: 10%|█ | 25/250 [00:00<00:00, 358.56 it/sec, feas=True, obj=0.152]
INFO - 10:04:35: 10%|█ | 26/250 [00:00<00:00, 357.55 it/sec, feas=True, obj=0.151]
INFO - 10:04:35: 11%|█ | 27/250 [00:00<00:00, 357.43 it/sec, feas=True, obj=0.149]
INFO - 10:04:35: 11%|█ | 28/250 [00:00<00:00, 356.68 it/sec, feas=True, obj=0.15]
INFO - 10:04:35: 12%|█▏ | 29/250 [00:00<00:00, 355.81 it/sec, feas=True, obj=0.149]
INFO - 10:04:35: 12%|█▏ | 30/250 [00:00<00:00, 355.83 it/sec, feas=True, obj=0.148]
INFO - 10:04:35: 12%|█▏ | 31/250 [00:00<00:00, 355.74 it/sec, feas=True, obj=0.148]
INFO - 10:04:35: 13%|█▎ | 32/250 [00:00<00:00, 355.64 it/sec, feas=True, obj=0.148]
INFO - 10:04:35: 13%|█▎ | 33/250 [00:00<00:00, 355.72 it/sec, feas=True, obj=0.148]
INFO - 10:04:35: 14%|█▎ | 34/250 [00:00<00:00, 355.90 it/sec, feas=True, obj=0.148]
INFO - 10:04:35: 14%|█▍ | 35/250 [00:00<00:00, 355.09 it/sec, feas=True, obj=0.148]
INFO - 10:04:35: 14%|█▍ | 36/250 [00:00<00:00, 355.15 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 15%|█▍ | 37/250 [00:00<00:00, 355.32 it/sec, feas=True, obj=0.229]
INFO - 10:04:35: 15%|█▌ | 38/250 [00:00<00:00, 355.00 it/sec, feas=True, obj=0.148]
INFO - 10:04:35: 16%|█▌ | 39/250 [00:00<00:00, 354.45 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 16%|█▌ | 40/250 [00:00<00:00, 347.46 it/sec, feas=True, obj=0.621]
INFO - 10:04:35: 16%|█▋ | 41/250 [00:00<00:00, 347.68 it/sec, feas=True, obj=0.148]
INFO - 10:04:35: 17%|█▋ | 42/250 [00:00<00:00, 346.85 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 17%|█▋ | 43/250 [00:00<00:00, 347.04 it/sec, feas=True, obj=0.744]
INFO - 10:04:35: 18%|█▊ | 44/250 [00:00<00:00, 347.39 it/sec, feas=True, obj=0.147]
INFO - 10:04:35: 18%|█▊ | 45/250 [00:00<00:00, 347.02 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 18%|█▊ | 46/250 [00:00<00:00, 346.73 it/sec, feas=True, obj=0.821]
INFO - 10:04:35: 19%|█▉ | 47/250 [00:00<00:00, 346.98 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 19%|█▉ | 48/250 [00:00<00:00, 346.65 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 20%|█▉ | 49/250 [00:00<00:00, 346.42 it/sec, feas=True, obj=0.906]
INFO - 10:04:35: 20%|██ | 50/250 [00:00<00:00, 346.74 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 20%|██ | 51/250 [00:00<00:00, 346.98 it/sec, feas=True, obj=0.183]
INFO - 10:04:35: 21%|██ | 52/250 [00:00<00:00, 346.73 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 21%|██ | 53/250 [00:00<00:00, 346.82 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 22%|██▏ | 54/250 [00:00<00:00, 347.10 it/sec, feas=True, obj=0.997]
INFO - 10:04:35: 22%|██▏ | 55/250 [00:00<00:00, 346.94 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 22%|██▏ | 56/250 [00:00<00:00, 347.20 it/sec, feas=True, obj=0.216]
INFO - 10:04:35: 23%|██▎ | 57/250 [00:00<00:00, 346.96 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 23%|██▎ | 58/250 [00:00<00:00, 346.89 it/sec, feas=True, obj=0.974]
INFO - 10:04:35: 24%|██▎ | 59/250 [00:00<00:00, 346.87 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 24%|██▍ | 60/250 [00:00<00:00, 346.83 it/sec, feas=True, obj=0.238]
INFO - 10:04:35: 24%|██▍ | 61/250 [00:00<00:00, 346.98 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 25%|██▍ | 62/250 [00:00<00:00, 346.53 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 25%|██▌ | 63/250 [00:00<00:00, 346.27 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 26%|██▌ | 64/250 [00:00<00:00, 346.35 it/sec, feas=True, obj=0.145]
INFO - 10:04:35: 26%|██▌ | 65/250 [00:00<00:00, 346.27 it/sec, feas=True, obj=0.206]
INFO - 10:04:35: 26%|██▋ | 66/250 [00:00<00:00, 346.30 it/sec, feas=True, obj=0.145]
INFO - 10:04:35: 27%|██▋ | 67/250 [00:00<00:00, 346.55 it/sec, feas=True, obj=0.146]
INFO - 10:04:35: 27%|██▋ | 68/250 [00:00<00:00, 346.65 it/sec, feas=True, obj=0.145]
INFO - 10:04:35: 28%|██▊ | 69/250 [00:00<00:00, 346.78 it/sec, feas=True, obj=0.192]
INFO - 10:04:35: 28%|██▊ | 70/250 [00:00<00:00, 346.84 it/sec, feas=True, obj=0.145]
INFO - 10:04:35: 28%|██▊ | 71/250 [00:00<00:00, 347.01 it/sec, feas=True, obj=0.151]
INFO - 10:04:35: 29%|██▉ | 72/250 [00:00<00:00, 346.72 it/sec, feas=True, obj=0.145]
INFO - 10:04:35: 29%|██▉ | 73/250 [00:00<00:00, 346.53 it/sec, feas=True, obj=0.148]
INFO - 10:04:35: 30%|██▉ | 74/250 [00:00<00:00, 346.61 it/sec, feas=True, obj=0.144]
INFO - 10:04:35: 30%|███ | 75/250 [00:00<00:00, 346.45 it/sec, feas=True, obj=0.206]
INFO - 10:04:35: 30%|███ | 76/250 [00:00<00:00, 346.54 it/sec, feas=True, obj=0.144]
INFO - 10:04:35: 31%|███ | 77/250 [00:00<00:00, 346.43 it/sec, feas=True, obj=0.144]
INFO - 10:04:35: 31%|███ | 78/250 [00:00<00:00, 346.34 it/sec, feas=True, obj=0.144]
INFO - 10:04:35: 32%|███▏ | 79/250 [00:00<00:00, 346.23 it/sec, feas=True, obj=0.144]
INFO - 10:04:35: 32%|███▏ | 80/250 [00:00<00:00, 346.20 it/sec, feas=True, obj=0.144]
INFO - 10:04:35: 32%|███▏ | 81/250 [00:00<00:00, 346.07 it/sec, feas=True, obj=0.143]
INFO - 10:04:35: 33%|███▎ | 82/250 [00:00<00:00, 345.63 it/sec, feas=True, obj=0.143]
INFO - 10:04:35: 33%|███▎ | 83/250 [00:00<00:00, 345.52 it/sec, feas=True, obj=0.143]
INFO - 10:04:35: 34%|███▎ | 84/250 [00:00<00:00, 345.40 it/sec, feas=True, obj=0.143]
INFO - 10:04:35: 34%|███▍ | 85/250 [00:00<00:00, 345.32 it/sec, feas=True, obj=0.143]
INFO - 10:04:35: 34%|███▍ | 86/250 [00:00<00:00, 345.24 it/sec, feas=True, obj=0.999]
INFO - 10:04:35: 35%|███▍ | 87/250 [00:00<00:00, 345.19 it/sec, feas=True, obj=0.143]
INFO - 10:04:35: 35%|███▌ | 88/250 [00:00<00:00, 345.11 it/sec, feas=True, obj=0.3]
INFO - 10:04:35: 36%|███▌ | 89/250 [00:00<00:00, 344.68 it/sec, feas=True, obj=0.142]
INFO - 10:04:35: 36%|███▌ | 90/250 [00:00<00:00, 344.66 it/sec, feas=True, obj=0.143]
INFO - 10:04:35: 36%|███▋ | 91/250 [00:00<00:00, 344.55 it/sec, feas=True, obj=0.142]
INFO - 10:04:35: 37%|███▋ | 92/250 [00:00<00:00, 344.46 it/sec, feas=True, obj=0.142]
INFO - 10:04:35: 37%|███▋ | 93/250 [00:00<00:00, 344.33 it/sec, feas=True, obj=0.142]
INFO - 10:04:35: 38%|███▊ | 94/250 [00:00<00:00, 344.25 it/sec, feas=True, obj=0.142]
INFO - 10:04:35: 38%|███▊ | 95/250 [00:00<00:00, 343.88 it/sec, feas=True, obj=0.142]
INFO - 10:04:35: 38%|███▊ | 96/250 [00:00<00:00, 343.85 it/sec, feas=True, obj=0.142]
INFO - 10:04:35: 39%|███▉ | 97/250 [00:00<00:00, 343.79 it/sec, feas=True, obj=0.142]
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INFO - 10:04:36: 70%|██████▉ | 174/250 [00:00<00:00, 339.04 it/sec, feas=True, obj=0.227]
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INFO - 10:04:36: 92%|█████████▏| 231/250 [00:00<00:00, 339.07 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 93%|█████████▎| 232/250 [00:00<00:00, 339.12 it/sec, feas=True, obj=0.137]
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INFO - 10:04:36: 94%|█████████▍| 236/250 [00:00<00:00, 339.05 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 95%|█████████▍| 237/250 [00:00<00:00, 339.08 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 95%|█████████▌| 238/250 [00:00<00:00, 339.11 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 96%|█████████▌| 239/250 [00:00<00:00, 339.01 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 96%|█████████▌| 240/250 [00:00<00:00, 339.07 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 96%|█████████▋| 241/250 [00:00<00:00, 339.07 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 97%|█████████▋| 242/250 [00:00<00:00, 339.06 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 97%|█████████▋| 243/250 [00:00<00:00, 339.04 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 98%|█████████▊| 244/250 [00:00<00:00, 338.99 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 98%|█████████▊| 245/250 [00:00<00:00, 339.03 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 98%|█████████▊| 246/250 [00:00<00:00, 339.09 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 99%|█████████▉| 247/250 [00:00<00:00, 339.15 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 99%|█████████▉| 248/250 [00:00<00:00, 339.13 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 100%|█████████▉| 249/250 [00:00<00:00, 339.10 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 100%|██████████| 250/250 [00:00<00:00, 339.14 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: Optimization result:
INFO - 10:04:36: Optimizer info:
INFO - 10:04:36: Status: None
INFO - 10:04:36: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 10:04:36: Solution:
INFO - 10:04:36: Objective: 0.13737663903392272
INFO - 10:04:36: Design space:
INFO - 10:04:36: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:36: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:36: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:36: | left_asymptote | 0 | 0 | 0.005013383816827143 | float |
INFO - 10:04:36: | capacity | 0.001428869758313996 | 0.03492369137816013 | 0.05013383816827143 | float |
INFO - 10:04:36: | growth_rate | 0.0001220219568980951 | 0.000233672282182139 | 0.001098197612082856 | float |
INFO - 10:04:36: | x_lag | 0 | 0 | 13200.55816618789 | float |
INFO - 10:04:36: | logistic_nu | 0.1 | 0.3598926809044121 | 10 | float |
INFO - 10:04:36: | asymptote_coeff | 0.1 | 2.03635202929074 | 10 | float |
INFO - 10:04:36: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:36: Optimization problem:
INFO - 10:04:36: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:36: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:36: over the design space:
INFO - 10:04:36: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:36: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:36: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:36: | left_asymptote | 0 | 0.001258895684454853 | 0.005013383816827143 | float |
INFO - 10:04:36: | capacity | 0.001428869758313996 | 0.04771882383010295 | 0.05013383816827143 | float |
INFO - 10:04:36: | growth_rate | 0.0001220219568980951 | 0.000886112037181043 | 0.001098197612082856 | float |
INFO - 10:04:36: | x_lag | 0 | 10519.36719572411 | 13200.55816618789 | float |
INFO - 10:04:36: | logistic_nu | 0.1 | 4.841685669245659 | 10 | float |
INFO - 10:04:36: | asymptote_coeff | 0.1 | 3.806533090469718 | 10 | float |
INFO - 10:04:36: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:36: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:36: 1%| | 2/250 [00:00<00:00, 374.56 it/sec, feas=True, obj=1]
INFO - 10:04:36: 1%| | 3/250 [00:00<00:00, 378.07 it/sec, feas=True, obj=0.812]
INFO - 10:04:36: 2%|▏ | 4/250 [00:00<00:00, 373.06 it/sec, feas=True, obj=0.322]
INFO - 10:04:36: 2%|▏ | 5/250 [00:00<00:00, 372.01 it/sec, feas=True, obj=0.333]
INFO - 10:04:36: 2%|▏ | 6/250 [00:00<00:00, 369.93 it/sec, feas=True, obj=0.317]
INFO - 10:04:36: 3%|▎ | 7/250 [00:00<00:00, 367.95 it/sec, feas=True, obj=0.317]
INFO - 10:04:36: 3%|▎ | 8/250 [00:00<00:00, 365.57 it/sec, feas=True, obj=0.317]
INFO - 10:04:36: Optimization result:
INFO - 10:04:36: Optimizer info:
INFO - 10:04:36: Status: 0
INFO - 10:04:36: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:36: Solution:
INFO - 10:04:36: Objective: 0.31658491933138777
INFO - 10:04:36: Design space:
INFO - 10:04:36: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:36: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:36: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:36: | left_asymptote | 0 | 0.00293231699486634 | 0.005013383816827143 | float |
INFO - 10:04:36: | capacity | 0.001428869758313996 | 0.006151582975765488 | 0.05013383816827143 | float |
INFO - 10:04:36: | growth_rate | 0.0001220219568980951 | 0.001090284691896557 | 0.001098197612082856 | float |
INFO - 10:04:36: | x_lag | 0 | 13200.55816618789 | 13200.55816618789 | float |
INFO - 10:04:36: | logistic_nu | 0.1 | 0.1048490712420817 | 10 | float |
INFO - 10:04:36: | asymptote_coeff | 0.1 | 9.101284556075587 | 10 | float |
INFO - 10:04:36: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:36: Optimization problem:
INFO - 10:04:36: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:36: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:36: over the design space:
INFO - 10:04:36: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:36: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:36: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:36: | left_asymptote | 0 | 0.004729671013415446 | 0.005013383816827143 | float |
INFO - 10:04:36: | capacity | 0.001428869758313996 | 0.01112352856611444 | 0.05013383816827143 | float |
INFO - 10:04:36: | growth_rate | 0.0001220219568980951 | 0.0007722753664144467 | 0.001098197612082856 | float |
INFO - 10:04:36: | x_lag | 0 | 4786.905004242259 | 13200.55816618789 | float |
INFO - 10:04:36: | logistic_nu | 0.1 | 5.169901185402307 | 10 | float |
INFO - 10:04:36: | asymptote_coeff | 0.1 | 6.84670587772096 | 10 | float |
INFO - 10:04:36: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:36: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:36: 1%| | 2/250 [00:00<00:00, 368.44 it/sec, feas=True, obj=0.52]
INFO - 10:04:36: 1%| | 3/250 [00:00<00:00, 383.61 it/sec, feas=True, obj=0.423]
INFO - 10:04:36: 2%|▏ | 4/250 [00:00<00:00, 374.11 it/sec, feas=True, obj=0.504]
INFO - 10:04:36: 2%|▏ | 5/250 [00:00<00:00, 360.03 it/sec, feas=True, obj=0.317]
INFO - 10:04:36: 2%|▏ | 6/250 [00:00<00:00, 352.89 it/sec, feas=True, obj=0.317]
INFO - 10:04:36: 3%|▎ | 7/250 [00:00<00:00, 352.32 it/sec, feas=True, obj=0.317]
INFO - 10:04:36: 3%|▎ | 8/250 [00:00<00:00, 350.30 it/sec, feas=True, obj=0.317]
INFO - 10:04:36: Optimization result:
INFO - 10:04:36: Optimizer info:
INFO - 10:04:36: Status: 0
INFO - 10:04:36: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:36: Solution:
INFO - 10:04:36: Objective: 0.31658491935247834
INFO - 10:04:36: Design space:
INFO - 10:04:36: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:36: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:36: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:36: | left_asymptote | 0 | 0.002932316995686614 | 0.005013383816827143 | float |
INFO - 10:04:36: | capacity | 0.001428869758313996 | 0.001428869759169434 | 0.05013383816827143 | float |
INFO - 10:04:36: | growth_rate | 0.0001220219568980951 | 0.0009674930294711407 | 0.001098197612082856 | float |
INFO - 10:04:36: | x_lag | 0 | 13200.55816618789 | 13200.55816618789 | float |
INFO - 10:04:36: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:36: | asymptote_coeff | 0.1 | 8.839906584829881 | 10 | float |
INFO - 10:04:36: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:36: Optimization problem:
INFO - 10:04:36: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:36: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:36: over the design space:
INFO - 10:04:36: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:36: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:36: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:36: | left_asymptote | 0 | 0.00357698001012246 | 0.005013383816827143 | float |
INFO - 10:04:36: | capacity | 0.001428869758313996 | 0.003127835743916291 | 0.05013383816827143 | float |
INFO - 10:04:36: | growth_rate | 0.0001220219568980951 | 0.0005233572233075317 | 0.001098197612082856 | float |
INFO - 10:04:36: | x_lag | 0 | 9700.0045742067 | 13200.55816618789 | float |
INFO - 10:04:36: | logistic_nu | 0.1 | 3.561734423309778 | 10 | float |
INFO - 10:04:36: | asymptote_coeff | 0.1 | 0.196786351209056 | 10 | float |
INFO - 10:04:36: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:36: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:36: 1%| | 2/250 [00:00<00:00, 379.76 it/sec, feas=True, obj=8.42]
INFO - 10:04:36: 1%| | 3/250 [00:00<00:00, 389.77 it/sec, feas=True, obj=0.508]
INFO - 10:04:36: 2%|▏ | 4/250 [00:00<00:00, 366.75 it/sec, feas=True, obj=0.374]
INFO - 10:04:36: 2%|▏ | 5/250 [00:00<00:00, 364.43 it/sec, feas=True, obj=0.37]
INFO - 10:04:36: 2%|▏ | 6/250 [00:00<00:00, 363.50 it/sec, feas=True, obj=0.356]
INFO - 10:04:36: 3%|▎ | 7/250 [00:00<00:00, 362.72 it/sec, feas=True, obj=0.175]
INFO - 10:04:36: 3%|▎ | 8/250 [00:00<00:00, 361.90 it/sec, feas=True, obj=0.193]
INFO - 10:04:36: 4%|▎ | 9/250 [00:00<00:00, 361.63 it/sec, feas=True, obj=0.151]
INFO - 10:04:36: 4%|▍ | 10/250 [00:00<00:00, 358.95 it/sec, feas=True, obj=0.15]
INFO - 10:04:36: 4%|▍ | 11/250 [00:00<00:00, 359.08 it/sec, feas=True, obj=0.15]
INFO - 10:04:36: 5%|▍ | 12/250 [00:00<00:00, 358.37 it/sec, feas=True, obj=0.15]
INFO - 10:04:36: 5%|▌ | 13/250 [00:00<00:00, 347.75 it/sec, feas=True, obj=0.149]
INFO - 10:04:36: 6%|▌ | 14/250 [00:00<00:00, 348.36 it/sec, feas=True, obj=0.154]
INFO - 10:04:36: 6%|▌ | 15/250 [00:00<00:00, 347.20 it/sec, feas=True, obj=0.148]
INFO - 10:04:36: 6%|▋ | 16/250 [00:00<00:00, 347.22 it/sec, feas=True, obj=0.147]
INFO - 10:04:36: 7%|▋ | 17/250 [00:00<00:00, 347.74 it/sec, feas=True, obj=0.146]
INFO - 10:04:36: 7%|▋ | 18/250 [00:00<00:00, 346.93 it/sec, feas=True, obj=0.146]
INFO - 10:04:36: 8%|▊ | 19/250 [00:00<00:00, 347.37 it/sec, feas=True, obj=0.146]
INFO - 10:04:36: 8%|▊ | 20/250 [00:00<00:00, 348.03 it/sec, feas=True, obj=0.146]
INFO - 10:04:36: 8%|▊ | 21/250 [00:00<00:00, 348.36 it/sec, feas=True, obj=0.146]
INFO - 10:04:36: 9%|▉ | 22/250 [00:00<00:00, 347.66 it/sec, feas=True, obj=0.146]
INFO - 10:04:36: 9%|▉ | 23/250 [00:00<00:00, 345.81 it/sec, feas=True, obj=0.145]
INFO - 10:04:36: 10%|▉ | 24/250 [00:00<00:00, 345.38 it/sec, feas=True, obj=0.145]
INFO - 10:04:36: 10%|█ | 25/250 [00:00<00:00, 345.81 it/sec, feas=True, obj=0.208]
INFO - 10:04:36: 10%|█ | 26/250 [00:00<00:00, 345.95 it/sec, feas=True, obj=0.145]
INFO - 10:04:36: 11%|█ | 27/250 [00:00<00:00, 346.19 it/sec, feas=True, obj=0.145]
INFO - 10:04:36: 11%|█ | 28/250 [00:00<00:00, 345.80 it/sec, feas=True, obj=0.15]
INFO - 10:04:36: 12%|█▏ | 29/250 [00:00<00:00, 346.14 it/sec, feas=True, obj=0.144]
INFO - 10:04:36: 12%|█▏ | 30/250 [00:00<00:00, 345.77 it/sec, feas=True, obj=0.167]
INFO - 10:04:36: 12%|█▏ | 31/250 [00:00<00:00, 345.25 it/sec, feas=True, obj=0.144]
INFO - 10:04:36: 13%|█▎ | 32/250 [00:00<00:00, 345.53 it/sec, feas=True, obj=0.144]
INFO - 10:04:36: 13%|█▎ | 33/250 [00:00<00:00, 345.84 it/sec, feas=True, obj=0.168]
INFO - 10:04:36: 14%|█▎ | 34/250 [00:00<00:00, 346.05 it/sec, feas=True, obj=0.143]
INFO - 10:04:36: 14%|█▍ | 35/250 [00:00<00:00, 346.37 it/sec, feas=True, obj=0.144]
INFO - 10:04:36: 14%|█▍ | 36/250 [00:00<00:00, 346.61 it/sec, feas=True, obj=0.143]
INFO - 10:04:36: 15%|█▍ | 37/250 [00:00<00:00, 346.32 it/sec, feas=True, obj=0.144]
INFO - 10:04:36: 15%|█▌ | 38/250 [00:00<00:00, 346.41 it/sec, feas=True, obj=0.143]
INFO - 10:04:36: 16%|█▌ | 39/250 [00:00<00:00, 346.79 it/sec, feas=True, obj=0.164]
INFO - 10:04:36: 16%|█▌ | 40/250 [00:00<00:00, 346.97 it/sec, feas=True, obj=0.143]
INFO - 10:04:36: 16%|█▋ | 41/250 [00:00<00:00, 346.60 it/sec, feas=True, obj=0.143]
INFO - 10:04:36: 17%|█▋ | 42/250 [00:00<00:00, 346.75 it/sec, feas=True, obj=0.155]
INFO - 10:04:36: 17%|█▋ | 43/250 [00:00<00:00, 346.23 it/sec, feas=True, obj=0.143]
INFO - 10:04:36: 18%|█▊ | 44/250 [00:00<00:00, 345.93 it/sec, feas=True, obj=0.143]
INFO - 10:04:36: 18%|█▊ | 45/250 [00:00<00:00, 345.89 it/sec, feas=True, obj=0.142]
INFO - 10:04:36: 18%|█▊ | 46/250 [00:00<00:00, 345.21 it/sec, feas=True, obj=0.142]
INFO - 10:04:36: 19%|█▉ | 47/250 [00:00<00:00, 345.46 it/sec, feas=True, obj=0.142]
INFO - 10:04:36: 19%|█▉ | 48/250 [00:00<00:00, 345.61 it/sec, feas=True, obj=0.142]
INFO - 10:04:36: 20%|█▉ | 49/250 [00:00<00:00, 345.34 it/sec, feas=True, obj=0.142]
INFO - 10:04:36: 20%|██ | 50/250 [00:00<00:00, 345.70 it/sec, feas=True, obj=0.143]
INFO - 10:04:36: 20%|██ | 51/250 [00:00<00:00, 345.91 it/sec, feas=True, obj=0.142]
INFO - 10:04:36: 21%|██ | 52/250 [00:00<00:00, 345.83 it/sec, feas=True, obj=0.142]
INFO - 10:04:36: 21%|██ | 53/250 [00:00<00:00, 345.98 it/sec, feas=True, obj=0.142]
INFO - 10:04:36: 22%|██▏ | 54/250 [00:00<00:00, 345.38 it/sec, feas=True, obj=0.141]
INFO - 10:04:36: 22%|██▏ | 55/250 [00:00<00:00, 345.23 it/sec, feas=True, obj=0.141]
INFO - 10:04:36: 22%|██▏ | 56/250 [00:00<00:00, 345.18 it/sec, feas=True, obj=0.157]
INFO - 10:04:36: 23%|██▎ | 57/250 [00:00<00:00, 344.35 it/sec, feas=True, obj=0.141]
INFO - 10:04:36: 23%|██▎ | 58/250 [00:00<00:00, 344.53 it/sec, feas=True, obj=0.141]
INFO - 10:04:36: 24%|██▎ | 59/250 [00:00<00:00, 344.41 it/sec, feas=True, obj=0.141]
INFO - 10:04:36: 24%|██▍ | 60/250 [00:00<00:00, 343.96 it/sec, feas=True, obj=0.142]
INFO - 10:04:36: 24%|██▍ | 61/250 [00:00<00:00, 344.08 it/sec, feas=True, obj=0.141]
INFO - 10:04:36: 25%|██▍ | 62/250 [00:00<00:00, 343.67 it/sec, feas=True, obj=0.182]
INFO - 10:04:36: 25%|██▌ | 63/250 [00:00<00:00, 343.46 it/sec, feas=True, obj=0.141]
INFO - 10:04:36: 26%|██▌ | 64/250 [00:00<00:00, 343.57 it/sec, feas=True, obj=0.141]
INFO - 10:04:36: 26%|██▌ | 65/250 [00:00<00:00, 343.69 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 26%|██▋ | 66/250 [00:00<00:00, 343.59 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 27%|██▋ | 67/250 [00:00<00:00, 343.73 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 27%|██▋ | 68/250 [00:00<00:00, 343.96 it/sec, feas=True, obj=0.141]
INFO - 10:04:36: 28%|██▊ | 69/250 [00:00<00:00, 343.87 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 28%|██▊ | 70/250 [00:00<00:00, 344.03 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 28%|██▊ | 71/250 [00:00<00:00, 344.15 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 29%|██▉ | 72/250 [00:00<00:00, 344.36 it/sec, feas=True, obj=0.143]
INFO - 10:04:36: 29%|██▉ | 73/250 [00:00<00:00, 344.16 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 30%|██▉ | 74/250 [00:00<00:00, 344.20 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 30%|███ | 75/250 [00:00<00:00, 344.30 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 30%|███ | 76/250 [00:00<00:00, 344.44 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 31%|███ | 77/250 [00:00<00:00, 344.55 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 31%|███ | 78/250 [00:00<00:00, 344.71 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 32%|███▏ | 79/250 [00:00<00:00, 344.53 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 32%|███▏ | 80/250 [00:00<00:00, 344.68 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 32%|███▏ | 81/250 [00:00<00:00, 344.75 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 33%|███▎ | 82/250 [00:00<00:00, 344.59 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 33%|███▎ | 83/250 [00:00<00:00, 344.29 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 34%|███▎ | 84/250 [00:00<00:00, 344.41 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 34%|███▍ | 85/250 [00:00<00:00, 344.21 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 34%|███▍ | 86/250 [00:00<00:00, 344.28 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 35%|███▍ | 87/250 [00:00<00:00, 344.10 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 35%|███▌ | 88/250 [00:00<00:00, 343.93 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 36%|███▌ | 89/250 [00:00<00:00, 344.11 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 36%|███▌ | 90/250 [00:00<00:00, 344.20 it/sec, feas=True, obj=0.139]
INFO - 10:04:36: 36%|███▋ | 91/250 [00:00<00:00, 344.26 it/sec, feas=True, obj=0.139]
INFO - 10:04:36: 37%|███▋ | 92/250 [00:00<00:00, 344.33 it/sec, feas=True, obj=0.139]
INFO - 10:04:36: 37%|███▋ | 93/250 [00:00<00:00, 344.46 it/sec, feas=True, obj=0.14]
INFO - 10:04:36: 38%|███▊ | 94/250 [00:00<00:00, 344.27 it/sec, feas=True, obj=0.139]
INFO - 10:04:36: 38%|███▊ | 95/250 [00:00<00:00, 344.42 it/sec, feas=True, obj=0.139]
INFO - 10:04:36: 38%|███▊ | 96/250 [00:00<00:00, 344.54 it/sec, feas=True, obj=0.139]
INFO - 10:04:36: 39%|███▉ | 97/250 [00:00<00:00, 344.59 it/sec, feas=True, obj=0.139]
INFO - 10:04:36: 39%|███▉ | 98/250 [00:00<00:00, 344.67 it/sec, feas=True, obj=0.139]
INFO - 10:04:36: 40%|███▉ | 99/250 [00:00<00:00, 344.79 it/sec, feas=True, obj=0.141]
INFO - 10:04:36: 40%|████ | 100/250 [00:00<00:00, 344.84 it/sec, feas=True, obj=0.139]
INFO - 10:04:36: 40%|████ | 101/250 [00:00<00:00, 344.91 it/sec, feas=True, obj=0.139]
INFO - 10:04:36: 41%|████ | 102/250 [00:00<00:00, 344.94 it/sec, feas=True, obj=0.139]
INFO - 10:04:36: 41%|████ | 103/250 [00:00<00:00, 344.74 it/sec, feas=True, obj=0.139]
INFO - 10:04:36: 42%|████▏ | 104/250 [00:00<00:00, 344.85 it/sec, feas=True, obj=0.139]
INFO - 10:04:36: 42%|████▏ | 105/250 [00:00<00:00, 344.96 it/sec, feas=True, obj=0.139]
INFO - 10:04:36: 42%|████▏ | 106/250 [00:00<00:00, 344.99 it/sec, feas=True, obj=0.139]
INFO - 10:04:36: 43%|████▎ | 107/250 [00:00<00:00, 344.69 it/sec, feas=True, obj=0.139]
INFO - 10:04:36: 43%|████▎ | 108/250 [00:00<00:00, 344.65 it/sec, feas=True, obj=0.139]
INFO - 10:04:36: 44%|████▎ | 109/250 [00:00<00:00, 344.69 it/sec, feas=True, obj=0.139]
INFO - 10:04:36: 44%|████▍ | 110/250 [00:00<00:00, 344.35 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 44%|████▍ | 111/250 [00:00<00:00, 344.30 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 45%|████▍ | 112/250 [00:00<00:00, 344.21 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 45%|████▌ | 113/250 [00:00<00:00, 344.27 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 46%|████▌ | 114/250 [00:00<00:00, 344.20 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 46%|████▌ | 115/250 [00:00<00:00, 344.12 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 46%|████▋ | 116/250 [00:00<00:00, 343.84 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 47%|████▋ | 117/250 [00:00<00:00, 343.77 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 47%|████▋ | 118/250 [00:00<00:00, 343.86 it/sec, feas=True, obj=0.143]
INFO - 10:04:36: 48%|████▊ | 119/250 [00:00<00:00, 343.73 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 48%|████▊ | 120/250 [00:00<00:00, 343.79 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 48%|████▊ | 121/250 [00:00<00:00, 343.91 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 49%|████▉ | 122/250 [00:00<00:00, 343.75 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 49%|████▉ | 123/250 [00:00<00:00, 343.70 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 50%|████▉ | 124/250 [00:00<00:00, 343.78 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 50%|█████ | 125/250 [00:00<00:00, 343.55 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 50%|█████ | 126/250 [00:00<00:00, 343.41 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 51%|█████ | 127/250 [00:00<00:00, 343.49 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 51%|█████ | 128/250 [00:00<00:00, 343.28 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 52%|█████▏ | 129/250 [00:00<00:00, 343.32 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 52%|█████▏ | 130/250 [00:00<00:00, 343.34 it/sec, feas=True, obj=0.141]
INFO - 10:04:36: 52%|█████▏ | 131/250 [00:00<00:00, 343.43 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 53%|█████▎ | 132/250 [00:00<00:00, 343.51 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 53%|█████▎ | 133/250 [00:00<00:00, 343.51 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 54%|█████▎ | 134/250 [00:00<00:00, 343.55 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 54%|█████▍ | 135/250 [00:00<00:00, 343.44 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 54%|█████▍ | 136/250 [00:00<00:00, 343.51 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 55%|█████▍ | 137/250 [00:00<00:00, 343.55 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 55%|█████▌ | 138/250 [00:00<00:00, 343.37 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 56%|█████▌ | 139/250 [00:00<00:00, 343.44 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 56%|█████▌ | 140/250 [00:00<00:00, 343.55 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 56%|█████▋ | 141/250 [00:00<00:00, 343.65 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 57%|█████▋ | 142/250 [00:00<00:00, 343.72 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 57%|█████▋ | 143/250 [00:00<00:00, 343.80 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 58%|█████▊ | 144/250 [00:00<00:00, 343.71 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 58%|█████▊ | 145/250 [00:00<00:00, 343.76 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 58%|█████▊ | 146/250 [00:00<00:00, 343.85 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 59%|█████▉ | 147/250 [00:00<00:00, 343.90 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 59%|█████▉ | 148/250 [00:00<00:00, 343.96 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 60%|█████▉ | 149/250 [00:00<00:00, 344.03 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 60%|██████ | 150/250 [00:00<00:00, 344.09 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 60%|██████ | 151/250 [00:00<00:00, 343.89 it/sec, feas=True, obj=0.138]
INFO - 10:04:36: 61%|██████ | 152/250 [00:00<00:00, 343.95 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 61%|██████ | 153/250 [00:00<00:00, 343.91 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 62%|██████▏ | 154/250 [00:00<00:00, 343.82 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 62%|██████▏ | 155/250 [00:00<00:00, 343.78 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 62%|██████▏ | 156/250 [00:00<00:00, 343.73 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 63%|██████▎ | 157/250 [00:00<00:00, 343.61 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 63%|██████▎ | 158/250 [00:00<00:00, 343.60 it/sec, feas=True, obj=0.144]
INFO - 10:04:36: 64%|██████▎ | 159/250 [00:00<00:00, 343.69 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 64%|██████▍ | 160/250 [00:00<00:00, 343.75 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 64%|██████▍ | 161/250 [00:00<00:00, 343.75 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 65%|██████▍ | 162/250 [00:00<00:00, 343.81 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 65%|██████▌ | 163/250 [00:00<00:00, 343.86 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 66%|██████▌ | 164/250 [00:00<00:00, 343.78 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 66%|██████▌ | 165/250 [00:00<00:00, 343.81 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 66%|██████▋ | 166/250 [00:00<00:00, 343.88 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 67%|██████▋ | 167/250 [00:00<00:00, 343.81 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 67%|██████▋ | 168/250 [00:00<00:00, 343.89 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 68%|██████▊ | 169/250 [00:00<00:00, 343.97 it/sec, feas=True, obj=0.139]
INFO - 10:04:36: 68%|██████▊ | 170/250 [00:00<00:00, 343.99 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 68%|██████▊ | 171/250 [00:00<00:00, 344.06 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 69%|██████▉ | 172/250 [00:00<00:00, 344.02 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 69%|██████▉ | 173/250 [00:00<00:00, 343.91 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 70%|██████▉ | 174/250 [00:00<00:00, 343.95 it/sec, feas=True, obj=0.137]
INFO - 10:04:36: 70%|███████ | 175/250 [00:00<00:00, 343.92 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 70%|███████ | 176/250 [00:00<00:00, 343.84 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 71%|███████ | 177/250 [00:00<00:00, 343.80 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 71%|███████ | 178/250 [00:00<00:00, 343.80 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 72%|███████▏ | 179/250 [00:00<00:00, 343.73 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 72%|███████▏ | 180/250 [00:00<00:00, 343.80 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 72%|███████▏ | 181/250 [00:00<00:00, 343.83 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 73%|███████▎ | 182/250 [00:00<00:00, 343.88 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 73%|███████▎ | 183/250 [00:00<00:00, 343.93 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 74%|███████▎ | 184/250 [00:00<00:00, 343.96 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 74%|███████▍ | 185/250 [00:00<00:00, 344.01 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 74%|███████▍ | 186/250 [00:00<00:00, 344.03 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 75%|███████▍ | 187/250 [00:00<00:00, 344.12 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 75%|███████▌ | 188/250 [00:00<00:00, 344.12 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 76%|███████▌ | 189/250 [00:00<00:00, 344.08 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 76%|███████▌ | 190/250 [00:00<00:00, 344.08 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 76%|███████▋ | 191/250 [00:00<00:00, 344.10 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 77%|███████▋ | 192/250 [00:00<00:00, 344.05 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 77%|███████▋ | 193/250 [00:00<00:00, 344.11 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 78%|███████▊ | 194/250 [00:00<00:00, 344.10 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 78%|███████▊ | 195/250 [00:00<00:00, 343.42 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 78%|███████▊ | 196/250 [00:00<00:00, 343.48 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 79%|███████▉ | 197/250 [00:00<00:00, 343.53 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 79%|███████▉ | 198/250 [00:00<00:00, 343.58 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 80%|███████▉ | 199/250 [00:00<00:00, 343.63 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 80%|████████ | 200/250 [00:00<00:00, 343.71 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 80%|████████ | 201/250 [00:00<00:00, 343.76 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 81%|████████ | 202/250 [00:00<00:00, 343.78 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 81%|████████ | 203/250 [00:00<00:00, 343.85 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 82%|████████▏ | 204/250 [00:00<00:00, 343.76 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 82%|████████▏ | 205/250 [00:00<00:00, 343.80 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 82%|████████▏ | 206/250 [00:00<00:00, 343.83 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 83%|████████▎ | 207/250 [00:00<00:00, 343.91 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 83%|████████▎ | 208/250 [00:00<00:00, 343.91 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 84%|████████▎ | 209/250 [00:00<00:00, 343.30 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: 84%|████████▍ | 210/250 [00:00<00:00, 343.38 it/sec, feas=True, obj=0.137]
INFO - 10:04:37: Optimization result:
INFO - 10:04:37: Optimizer info:
INFO - 10:04:37: Status: None
INFO - 10:04:37: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:37: Solution:
INFO - 10:04:37: Objective: 0.13731127669094048
INFO - 10:04:37: Design space:
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: | left_asymptote | 0 | 0 | 0.005013383816827143 | float |
INFO - 10:04:37: | capacity | 0.001428869758313996 | 0.05013383816827143 | 0.05013383816827143 | float |
INFO - 10:04:37: | growth_rate | 0.0001220219568980951 | 0.0002321679438341142 | 0.001098197612082856 | float |
INFO - 10:04:37: | x_lag | 0 | 0 | 13200.55816618789 | float |
INFO - 10:04:37: | logistic_nu | 0.1 | 0.3368271833053553 | 10 | float |
INFO - 10:04:37: | asymptote_coeff | 0.1 | 2.196550660042016 | 10 | float |
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: Optimization problem:
INFO - 10:04:37: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:37: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:37: over the design space:
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: | left_asymptote | 0 | 0.001171010954621779 | 0.005013383816827143 | float |
INFO - 10:04:37: | capacity | 0.001428869758313996 | 0.0380948960442973 | 0.05013383816827143 | float |
INFO - 10:04:37: | growth_rate | 0.0001220219568980951 | 0.0006568333230314401 | 0.001098197612082856 | float |
INFO - 10:04:37: | x_lag | 0 | 5283.084504823289 | 13200.55816618789 | float |
INFO - 10:04:37: | logistic_nu | 0.1 | 1.584139511566824 | 10 | float |
INFO - 10:04:37: | asymptote_coeff | 0.1 | 8.646435449387221 | 10 | float |
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:37: 1%| | 2/250 [00:00<00:00, 385.79 it/sec, feas=True, obj=1]
INFO - 10:04:37: 1%| | 3/250 [00:00<00:00, 398.46 it/sec, feas=True, obj=0.94]
INFO - 10:04:37: 2%|▏ | 4/250 [00:00<00:00, 386.52 it/sec, feas=True, obj=0.707]
INFO - 10:04:37: 2%|▏ | 5/250 [00:00<00:00, 380.48 it/sec, feas=True, obj=0.405]
INFO - 10:04:37: 2%|▏ | 6/250 [00:00<00:00, 377.88 it/sec, feas=True, obj=0.388]
INFO - 10:04:37: 3%|▎ | 7/250 [00:00<00:00, 373.15 it/sec, feas=True, obj=0.317]
INFO - 10:04:37: 3%|▎ | 8/250 [00:00<00:00, 370.08 it/sec, feas=True, obj=0.317]
INFO - 10:04:37: 4%|▎ | 9/250 [00:00<00:00, 367.35 it/sec, feas=True, obj=0.317]
INFO - 10:04:37: 4%|▍ | 10/250 [00:00<00:00, 364.82 it/sec, feas=True, obj=0.317]
INFO - 10:04:37: 4%|▍ | 11/250 [00:00<00:00, 365.09 it/sec, feas=True, obj=0.317]
INFO - 10:04:37: Optimization result:
INFO - 10:04:37: Optimizer info:
INFO - 10:04:37: Status: None
INFO - 10:04:37: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:37: Solution:
INFO - 10:04:37: Objective: 0.31658491769656627
INFO - 10:04:37: Design space:
INFO - 10:04:37: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:37: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:37: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:37: | left_asymptote | 0 | 0.002932315234616048 | 0.005013383816827143 | float |
INFO - 10:04:37: | capacity | 0.001428869758313996 | 0.03988886448427443 | 0.05013383816827143 | float |
INFO - 10:04:37: | growth_rate | 0.0001220219568980951 | 0.000626636356343238 | 0.001098197612082856 | float |
INFO - 10:04:37: | x_lag | 0 | 4951.670163262552 | 13200.55816618789 | float |
INFO - 10:04:37: | logistic_nu | 0.1 | 0.1000117728543839 | 10 | float |
INFO - 10:04:37: | asymptote_coeff | 0.1 | 8.650964325780832 | 10 | float |
INFO - 10:04:37: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:37: Optimization problem:
INFO - 10:04:37: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:37: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:37: over the design space:
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: | left_asymptote | 0 | 0.0007332246913508385 | 0.005013383816827143 | float |
INFO - 10:04:37: | capacity | 0.001428869758313996 | 0.02889129799573281 | 0.05013383816827143 | float |
INFO - 10:04:37: | growth_rate | 0.0001220219568980951 | 0.0001667975839023016 | 0.001098197612082856 | float |
INFO - 10:04:37: | x_lag | 0 | 4606.47943182969 | 13200.55816618789 | float |
INFO - 10:04:37: | logistic_nu | 0.1 | 3.881851228413161 | 10 | float |
INFO - 10:04:37: | asymptote_coeff | 0.1 | 5.404868117632494 | 10 | float |
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:37: 1%| | 2/250 [00:00<00:00, 384.01 it/sec, feas=True, obj=1]
INFO - 10:04:37: 1%| | 3/250 [00:00<00:00, 397.24 it/sec, feas=True, obj=0.847]
INFO - 10:04:37: 2%|▏ | 4/250 [00:00<00:00, 379.62 it/sec, feas=True, obj=0.344]
INFO - 10:04:37: 2%|▏ | 5/250 [00:00<00:00, 376.88 it/sec, feas=True, obj=0.538]
INFO - 10:04:37: 2%|▏ | 6/250 [00:00<00:00, 326.38 it/sec, feas=True, obj=0.317]
INFO - 10:04:37: 3%|▎ | 7/250 [00:00<00:00, 331.15 it/sec, feas=True, obj=0.317]
INFO - 10:04:37: 3%|▎ | 8/250 [00:00<00:00, 333.78 it/sec, feas=True, obj=0.317]
INFO - 10:04:37: 4%|▎ | 9/250 [00:00<00:00, 333.91 it/sec, feas=True, obj=0.317]
INFO - 10:04:37: Optimization result:
INFO - 10:04:37: Optimizer info:
INFO - 10:04:37: Status: 0
INFO - 10:04:37: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:37: Solution:
INFO - 10:04:37: Objective: 0.3165849193577144
INFO - 10:04:37: Design space:
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: | left_asymptote | 0 | 0.002932316994806786 | 0.005013383816827143 | float |
INFO - 10:04:37: | capacity | 0.001428869758313996 | 0.00142886976180739 | 0.05013383816827143 | float |
INFO - 10:04:37: | growth_rate | 0.0001220219568980951 | 0.0004853590331368422 | 0.001098197612082856 | float |
INFO - 10:04:37: | x_lag | 0 | 10965.64613029198 | 13200.55816618789 | float |
INFO - 10:04:37: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:37: | asymptote_coeff | 0.1 | 9.554755076286751 | 10 | float |
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: Optimization problem:
INFO - 10:04:37: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:37: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:37: over the design space:
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: | left_asymptote | 0 | 0.004218754317181971 | 0.005013383816827143 | float |
INFO - 10:04:37: | capacity | 0.001428869758313996 | 0.04629023974983518 | 0.05013383816827143 | float |
INFO - 10:04:37: | growth_rate | 0.0001220219568980951 | 0.0002632887766581959 | 0.001098197612082856 | float |
INFO - 10:04:37: | x_lag | 0 | 6214.105946955226 | 13200.55816618789 | float |
INFO - 10:04:37: | logistic_nu | 0.1 | 8.234739433018818 | 10 | float |
INFO - 10:04:37: | asymptote_coeff | 0.1 | 3.408753901197628 | 10 | float |
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:37: 1%| | 2/250 [00:00<00:00, 376.83 it/sec, feas=True, obj=0.324]
INFO - 10:04:37: 1%| | 3/250 [00:00<00:00, 300.91 it/sec, feas=True, obj=0.317]
INFO - 10:04:37: 2%|▏ | 4/250 [00:00<00:00, 314.62 it/sec, feas=True, obj=0.317]
INFO - 10:04:37: 2%|▏ | 5/250 [00:00<00:00, 323.45 it/sec, feas=True, obj=0.317]
INFO - 10:04:37: 2%|▏ | 6/250 [00:00<00:00, 327.76 it/sec, feas=True, obj=0.317]
INFO - 10:04:37: Optimization result:
INFO - 10:04:37: Optimizer info:
INFO - 10:04:37: Status: 0
INFO - 10:04:37: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:37: Solution:
INFO - 10:04:37: Objective: 0.31658491934980465
INFO - 10:04:37: Design space:
INFO - 10:04:37: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:37: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:37: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:37: | left_asymptote | 0 | 0.002932316994800169 | 0.005013383816827143 | float |
INFO - 10:04:37: | capacity | 0.001428869758313996 | 0.001486845207763682 | 0.05013383816827143 | float |
INFO - 10:04:37: | growth_rate | 0.0001220219568980951 | 0.001098197612082856 | 0.001098197612082856 | float |
INFO - 10:04:37: | x_lag | 0 | 13200.55816618789 | 13200.55816618789 | float |
INFO - 10:04:37: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:37: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:37: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:37: Optimization problem:
INFO - 10:04:37: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:37: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:37: over the design space:
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: | left_asymptote | 0 | 0.004832818831034757 | 0.005013383816827143 | float |
INFO - 10:04:37: | capacity | 0.001428869758313996 | 0.02147695710226444 | 0.05013383816827143 | float |
INFO - 10:04:37: | growth_rate | 0.0001220219568980951 | 0.0006081885557406197 | 0.001098197612082856 | float |
INFO - 10:04:37: | x_lag | 0 | 10899.55676847095 | 13200.55816618789 | float |
INFO - 10:04:37: | logistic_nu | 0.1 | 8.81154772732992 | 10 | float |
INFO - 10:04:37: | asymptote_coeff | 0.1 | 4.60272431489444 | 10 | float |
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:37: 1%| | 2/250 [00:00<00:00, 394.93 it/sec, feas=True, obj=0.465]
INFO - 10:04:37: 1%| | 3/250 [00:00<00:00, 404.66 it/sec, feas=True, obj=0.361]
INFO - 10:04:37: 2%|▏ | 4/250 [00:00<00:00, 395.52 it/sec, feas=True, obj=0.348]
INFO - 10:04:37: 2%|▏ | 5/250 [00:00<00:00, 387.53 it/sec, feas=True, obj=0.317]
INFO - 10:04:37: 2%|▏ | 6/250 [00:00<00:00, 361.37 it/sec, feas=True, obj=0.317]
INFO - 10:04:37: 3%|▎ | 7/250 [00:00<00:00, 360.22 it/sec, feas=True, obj=0.317]
INFO - 10:04:37: Optimization result:
INFO - 10:04:37: Optimizer info:
INFO - 10:04:37: Status: 0
INFO - 10:04:37: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:37: Solution:
INFO - 10:04:37: Objective: 0.3165849193797721
INFO - 10:04:37: Design space:
INFO - 10:04:37: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:37: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:37: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:37: | left_asymptote | 0 | 0.002932316964804799 | 0.005013383816827143 | float |
INFO - 10:04:37: | capacity | 0.001428869758313996 | 0.00142886976764404 | 0.05013383816827143 | float |
INFO - 10:04:37: | growth_rate | 0.0001220219568980951 | 0.001098197612082856 | 0.001098197612082856 | float |
INFO - 10:04:37: | x_lag | 0 | 13200.55816618789 | 13200.55816618789 | float |
INFO - 10:04:37: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:37: | asymptote_coeff | 0.1 | 6.80175567542351 | 10 | float |
INFO - 10:04:37: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:37: Optimization problem:
INFO - 10:04:37: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:37: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:37: over the design space:
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: | left_asymptote | 0 | 0.00186397844329621 | 0.005013383816827143 | float |
INFO - 10:04:37: | capacity | 0.001428869758313996 | 0.014953298747737 | 0.05013383816827143 | float |
INFO - 10:04:37: | growth_rate | 0.0001220219568980951 | 0.0004855599711080611 | 0.001098197612082856 | float |
INFO - 10:04:37: | x_lag | 0 | 3799.522593049955 | 13200.55816618789 | float |
INFO - 10:04:37: | logistic_nu | 0.1 | 9.197003967850243 | 10 | float |
INFO - 10:04:37: | asymptote_coeff | 0.1 | 2.224733400313706 | 10 | float |
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:37: 1%| | 2/250 [00:00<00:00, 393.26 it/sec, feas=True, obj=0.709]
INFO - 10:04:37: 1%| | 3/250 [00:00<00:00, 405.30 it/sec, feas=True, obj=0.294]
INFO - 10:04:37: 2%|▏ | 4/250 [00:00<00:00, 387.07 it/sec, feas=True, obj=3.38]
INFO - 10:04:37: 2%|▏ | 5/250 [00:00<00:00, 382.19 it/sec, feas=True, obj=0.19]
INFO - 10:04:37: 2%|▏ | 6/250 [00:00<00:00, 379.69 it/sec, feas=True, obj=0.346]
INFO - 10:04:37: 3%|▎ | 7/250 [00:00<00:00, 378.57 it/sec, feas=True, obj=0.179]
INFO - 10:04:37: 3%|▎ | 8/250 [00:00<00:00, 377.09 it/sec, feas=True, obj=0.175]
INFO - 10:04:37: 4%|▎ | 9/250 [00:00<00:00, 375.13 it/sec, feas=True, obj=0.165]
INFO - 10:04:37: 4%|▍ | 10/250 [00:00<00:00, 365.46 it/sec, feas=True, obj=0.16]
INFO - 10:04:37: 4%|▍ | 11/250 [00:00<00:00, 365.03 it/sec, feas=True, obj=0.153]
INFO - 10:04:37: 5%|▍ | 12/250 [00:00<00:00, 364.86 it/sec, feas=True, obj=0.152]
INFO - 10:04:37: 5%|▌ | 13/250 [00:00<00:00, 345.28 it/sec, feas=True, obj=0.152]
INFO - 10:04:37: 6%|▌ | 14/250 [00:00<00:00, 346.59 it/sec, feas=True, obj=0.152]
INFO - 10:04:37: 6%|▌ | 15/250 [00:00<00:00, 347.67 it/sec, feas=True, obj=0.151]
INFO - 10:04:37: 6%|▋ | 16/250 [00:00<00:00, 348.59 it/sec, feas=True, obj=0.15]
INFO - 10:04:37: 7%|▋ | 17/250 [00:00<00:00, 349.70 it/sec, feas=True, obj=0.172]
INFO - 10:04:37: 7%|▋ | 18/250 [00:00<00:00, 350.80 it/sec, feas=True, obj=0.15]
INFO - 10:04:37: 8%|▊ | 19/250 [00:00<00:00, 351.62 it/sec, feas=True, obj=0.15]
INFO - 10:04:37: 8%|▊ | 20/250 [00:00<00:00, 352.07 it/sec, feas=True, obj=0.149]
INFO - 10:04:37: 8%|▊ | 21/250 [00:00<00:00, 352.93 it/sec, feas=True, obj=0.149]
INFO - 10:04:37: 9%|▉ | 22/250 [00:00<00:00, 353.53 it/sec, feas=True, obj=0.149]
INFO - 10:04:37: 9%|▉ | 23/250 [00:00<00:00, 354.06 it/sec, feas=True, obj=0.149]
INFO - 10:04:37: 10%|▉ | 24/250 [00:00<00:00, 354.51 it/sec, feas=True, obj=0.149]
INFO - 10:04:37: 10%|█ | 25/250 [00:00<00:00, 354.97 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 10%|█ | 26/250 [00:00<00:00, 355.17 it/sec, feas=True, obj=0.147]
INFO - 10:04:37: 11%|█ | 27/250 [00:00<00:00, 355.23 it/sec, feas=True, obj=0.147]
INFO - 10:04:37: 11%|█ | 28/250 [00:00<00:00, 355.43 it/sec, feas=True, obj=0.147]
INFO - 10:04:37: 12%|█▏ | 29/250 [00:00<00:00, 355.74 it/sec, feas=True, obj=0.147]
INFO - 10:04:37: 12%|█▏ | 30/250 [00:00<00:00, 355.91 it/sec, feas=True, obj=0.147]
INFO - 10:04:37: 12%|█▏ | 31/250 [00:00<00:00, 355.93 it/sec, feas=True, obj=0.146]
INFO - 10:04:37: 13%|█▎ | 32/250 [00:00<00:00, 356.22 it/sec, feas=True, obj=0.15]
INFO - 10:04:37: 13%|█▎ | 33/250 [00:00<00:00, 355.76 it/sec, feas=True, obj=0.146]
INFO - 10:04:37: 14%|█▎ | 34/250 [00:00<00:00, 348.30 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 14%|█▍ | 35/250 [00:00<00:00, 348.48 it/sec, feas=True, obj=0.145]
INFO - 10:04:37: 14%|█▍ | 36/250 [00:00<00:00, 348.19 it/sec, feas=True, obj=0.301]
INFO - 10:04:37: 15%|█▍ | 37/250 [00:00<00:00, 348.11 it/sec, feas=True, obj=0.145]
INFO - 10:04:37: 15%|█▌ | 38/250 [00:00<00:00, 347.98 it/sec, feas=True, obj=0.145]
INFO - 10:04:37: 16%|█▌ | 39/250 [00:00<00:00, 347.75 it/sec, feas=True, obj=0.145]
INFO - 10:04:37: 16%|█▌ | 40/250 [00:00<00:00, 347.59 it/sec, feas=True, obj=0.146]
INFO - 10:04:37: 16%|█▋ | 41/250 [00:00<00:00, 347.59 it/sec, feas=True, obj=0.145]
INFO - 10:04:37: 17%|█▋ | 42/250 [00:00<00:00, 347.49 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 17%|█▋ | 43/250 [00:00<00:00, 347.31 it/sec, feas=True, obj=0.144]
INFO - 10:04:37: 18%|█▊ | 44/250 [00:00<00:00, 347.60 it/sec, feas=True, obj=0.15]
INFO - 10:04:37: 18%|█▊ | 45/250 [00:00<00:00, 347.53 it/sec, feas=True, obj=0.144]
INFO - 10:04:37: 18%|█▊ | 46/250 [00:00<00:00, 347.71 it/sec, feas=True, obj=0.144]
INFO - 10:04:37: 19%|█▉ | 47/250 [00:00<00:00, 347.26 it/sec, feas=True, obj=0.149]
INFO - 10:04:37: 19%|█▉ | 48/250 [00:00<00:00, 347.36 it/sec, feas=True, obj=0.144]
INFO - 10:04:37: 20%|█▉ | 49/250 [00:00<00:00, 347.44 it/sec, feas=True, obj=0.145]
INFO - 10:04:37: 20%|██ | 50/250 [00:00<00:00, 346.96 it/sec, feas=True, obj=0.143]
INFO - 10:04:37: 20%|██ | 51/250 [00:00<00:00, 347.16 it/sec, feas=True, obj=0.152]
INFO - 10:04:37: 21%|██ | 52/250 [00:00<00:00, 346.87 it/sec, feas=True, obj=0.143]
INFO - 10:04:37: 21%|██ | 53/250 [00:00<00:00, 346.78 it/sec, feas=True, obj=0.145]
INFO - 10:04:37: 22%|██▏ | 54/250 [00:00<00:00, 346.90 it/sec, feas=True, obj=0.143]
INFO - 10:04:37: 22%|██▏ | 55/250 [00:00<00:00, 346.38 it/sec, feas=True, obj=0.143]
INFO - 10:04:37: 22%|██▏ | 56/250 [00:00<00:00, 346.43 it/sec, feas=True, obj=0.144]
INFO - 10:04:37: 23%|██▎ | 57/250 [00:00<00:00, 341.95 it/sec, feas=True, obj=0.143]
INFO - 10:04:37: 23%|██▎ | 58/250 [00:00<00:00, 341.76 it/sec, feas=True, obj=0.145]
INFO - 10:04:37: 24%|██▎ | 59/250 [00:00<00:00, 341.71 it/sec, feas=True, obj=0.142]
INFO - 10:04:37: 24%|██▍ | 60/250 [00:00<00:00, 341.89 it/sec, feas=True, obj=0.163]
INFO - 10:04:37: 24%|██▍ | 61/250 [00:00<00:00, 341.92 it/sec, feas=True, obj=0.142]
INFO - 10:04:37: 25%|██▍ | 62/250 [00:00<00:00, 341.87 it/sec, feas=True, obj=0.142]
INFO - 10:04:37: 25%|██▌ | 63/250 [00:00<00:00, 341.92 it/sec, feas=True, obj=0.142]
INFO - 10:04:37: 26%|██▌ | 64/250 [00:00<00:00, 342.01 it/sec, feas=True, obj=0.143]
INFO - 10:04:37: 26%|██▌ | 65/250 [00:00<00:00, 342.07 it/sec, feas=True, obj=0.142]
INFO - 10:04:37: 26%|██▋ | 66/250 [00:00<00:00, 342.22 it/sec, feas=True, obj=0.143]
INFO - 10:04:37: 27%|██▋ | 67/250 [00:00<00:00, 342.28 it/sec, feas=True, obj=0.142]
INFO - 10:04:37: 27%|██▋ | 68/250 [00:00<00:00, 342.66 it/sec, feas=True, obj=0.192]
INFO - 10:04:37: 28%|██▊ | 69/250 [00:00<00:00, 342.70 it/sec, feas=True, obj=0.142]
INFO - 10:04:37: 28%|██▊ | 70/250 [00:00<00:00, 342.73 it/sec, feas=True, obj=0.142]
INFO - 10:04:37: 28%|██▊ | 71/250 [00:00<00:00, 342.72 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 29%|██▉ | 72/250 [00:00<00:00, 342.74 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 29%|██▉ | 73/250 [00:00<00:00, 342.65 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 30%|██▉ | 74/250 [00:00<00:00, 342.66 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 30%|███ | 75/250 [00:00<00:00, 342.68 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 30%|███ | 76/250 [00:00<00:00, 339.88 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 31%|███ | 77/250 [00:00<00:00, 339.84 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 31%|███ | 78/250 [00:00<00:00, 339.91 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 32%|███▏ | 79/250 [00:00<00:00, 339.83 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 32%|███▏ | 80/250 [00:00<00:00, 339.79 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 32%|███▏ | 81/250 [00:00<00:00, 339.76 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 33%|███▎ | 82/250 [00:00<00:00, 339.77 it/sec, feas=True, obj=0.149]
INFO - 10:04:37: 33%|███▎ | 83/250 [00:00<00:00, 339.74 it/sec, feas=True, obj=0.14]
INFO - 10:04:37: 34%|███▎ | 84/250 [00:00<00:00, 339.80 it/sec, feas=True, obj=0.143]
INFO - 10:04:37: 34%|███▍ | 85/250 [00:00<00:00, 339.91 it/sec, feas=True, obj=0.14]
INFO - 10:04:37: 34%|███▍ | 86/250 [00:00<00:00, 340.08 it/sec, feas=True, obj=0.14]
INFO - 10:04:37: 35%|███▍ | 87/250 [00:00<00:00, 340.20 it/sec, feas=True, obj=0.14]
INFO - 10:04:37: 35%|███▌ | 88/250 [00:00<00:00, 340.19 it/sec, feas=True, obj=0.14]
INFO - 10:04:37: 36%|███▌ | 89/250 [00:00<00:00, 340.21 it/sec, feas=True, obj=0.14]
INFO - 10:04:37: 36%|███▌ | 90/250 [00:00<00:00, 340.35 it/sec, feas=True, obj=0.147]
INFO - 10:04:37: 36%|███▋ | 91/250 [00:00<00:00, 340.55 it/sec, feas=True, obj=0.14]
INFO - 10:04:37: 37%|███▋ | 92/250 [00:00<00:00, 340.78 it/sec, feas=True, obj=0.14]
INFO - 10:04:37: 37%|███▋ | 93/250 [00:00<00:00, 340.99 it/sec, feas=True, obj=0.139]
INFO - 10:04:37: 38%|███▊ | 94/250 [00:00<00:00, 339.73 it/sec, feas=True, obj=0.139]
INFO - 10:04:37: 38%|███▊ | 95/250 [00:00<00:00, 339.69 it/sec, feas=True, obj=0.139]
INFO - 10:04:37: 38%|███▊ | 96/250 [00:00<00:00, 339.74 it/sec, feas=True, obj=0.14]
INFO - 10:04:37: 39%|███▉ | 97/250 [00:00<00:00, 339.82 it/sec, feas=True, obj=0.139]
INFO - 10:04:37: 39%|███▉ | 98/250 [00:00<00:00, 339.83 it/sec, feas=True, obj=0.139]
INFO - 10:04:37: 40%|███▉ | 99/250 [00:00<00:00, 339.86 it/sec, feas=True, obj=0.139]
INFO - 10:04:37: 40%|████ | 100/250 [00:00<00:00, 339.89 it/sec, feas=True, obj=0.139]
INFO - 10:04:37: 40%|████ | 101/250 [00:00<00:00, 339.96 it/sec, feas=True, obj=0.2]
INFO - 10:04:37: 41%|████ | 102/250 [00:00<00:00, 340.03 it/sec, feas=True, obj=0.139]
INFO - 10:04:37: 41%|████ | 103/250 [00:00<00:00, 340.07 it/sec, feas=True, obj=0.139]
INFO - 10:04:37: 42%|████▏ | 104/250 [00:00<00:00, 340.14 it/sec, feas=True, obj=0.14]
INFO - 10:04:37: 42%|████▏ | 105/250 [00:00<00:00, 340.33 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 42%|████▏ | 106/250 [00:00<00:00, 340.33 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 43%|████▎ | 107/250 [00:00<00:00, 339.44 it/sec, feas=True, obj=0.14]
INFO - 10:04:37: 43%|████▎ | 108/250 [00:00<00:00, 339.43 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 44%|████▎ | 109/250 [00:00<00:00, 337.79 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 44%|████▍ | 110/250 [00:00<00:00, 337.72 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 44%|████▍ | 111/250 [00:00<00:00, 337.91 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 45%|████▍ | 112/250 [00:00<00:00, 338.11 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 45%|████▌ | 113/250 [00:00<00:00, 336.30 it/sec, feas=True, obj=0.228]
INFO - 10:04:37: 46%|████▌ | 114/250 [00:00<00:00, 333.62 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 46%|████▌ | 115/250 [00:00<00:00, 333.82 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 46%|████▋ | 116/250 [00:00<00:00, 333.95 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 47%|████▋ | 117/250 [00:00<00:00, 334.15 it/sec, feas=True, obj=0.146]
INFO - 10:04:37: 47%|████▋ | 118/250 [00:00<00:00, 334.32 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 48%|████▊ | 119/250 [00:00<00:00, 334.53 it/sec, feas=True, obj=0.146]
INFO - 10:04:37: 48%|████▊ | 120/250 [00:00<00:00, 331.88 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 48%|████▊ | 121/250 [00:00<00:00, 332.12 it/sec, feas=True, obj=0.146]
INFO - 10:04:37: 49%|████▉ | 122/250 [00:00<00:00, 332.28 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 49%|████▉ | 123/250 [00:00<00:00, 332.46 it/sec, feas=True, obj=0.146]
INFO - 10:04:37: 50%|████▉ | 124/250 [00:00<00:00, 332.64 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 50%|█████ | 125/250 [00:00<00:00, 332.90 it/sec, feas=True, obj=0.146]
INFO - 10:04:37: 50%|█████ | 126/250 [00:00<00:00, 333.04 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 51%|█████ | 127/250 [00:00<00:00, 333.25 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 51%|█████ | 128/250 [00:00<00:00, 333.41 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 52%|█████▏ | 129/250 [00:00<00:00, 333.56 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 52%|█████▏ | 130/250 [00:00<00:00, 333.64 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 52%|█████▏ | 131/250 [00:00<00:00, 333.68 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 53%|█████▎ | 132/250 [00:00<00:00, 333.84 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 53%|█████▎ | 133/250 [00:00<00:00, 333.75 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 54%|█████▎ | 134/250 [00:00<00:00, 333.81 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 54%|█████▍ | 135/250 [00:00<00:00, 333.92 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 54%|█████▍ | 136/250 [00:00<00:00, 333.98 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 55%|█████▍ | 137/250 [00:00<00:00, 334.05 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 55%|█████▌ | 138/250 [00:00<00:00, 334.09 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 56%|█████▌ | 139/250 [00:00<00:00, 333.96 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 56%|█████▌ | 140/250 [00:00<00:00, 333.83 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 56%|█████▋ | 141/250 [00:00<00:00, 333.91 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 57%|█████▋ | 142/250 [00:00<00:00, 333.94 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 57%|█████▋ | 143/250 [00:00<00:00, 333.82 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 58%|█████▊ | 144/250 [00:00<00:00, 333.87 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 58%|█████▊ | 145/250 [00:00<00:00, 333.91 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 58%|█████▊ | 146/250 [00:00<00:00, 333.79 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 59%|█████▉ | 147/250 [00:00<00:00, 333.86 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 59%|█████▉ | 148/250 [00:00<00:00, 333.90 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 60%|█████▉ | 149/250 [00:00<00:00, 333.93 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 60%|██████ | 150/250 [00:00<00:00, 333.95 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 60%|██████ | 151/250 [00:00<00:00, 333.98 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 61%|██████ | 152/250 [00:00<00:00, 333.90 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: 61%|██████ | 153/250 [00:00<00:00, 333.92 it/sec, feas=True, obj=0.138]
INFO - 10:04:37: Optimization result:
INFO - 10:04:37: Optimizer info:
INFO - 10:04:37: Status: None
INFO - 10:04:37: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:37: Solution:
INFO - 10:04:37: Objective: 0.13754626641750378
INFO - 10:04:37: Design space:
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: | left_asymptote | 0 | 0 | 0.005013383816827143 | float |
INFO - 10:04:37: | capacity | 0.001428869758313996 | 0.01692369873885465 | 0.05013383816827143 | float |
INFO - 10:04:37: | growth_rate | 0.0001220219568980951 | 0.0002385094899034565 | 0.001098197612082856 | float |
INFO - 10:04:37: | x_lag | 0 | 0 | 13200.55816618789 | float |
INFO - 10:04:37: | logistic_nu | 0.1 | 0.4198301000814915 | 10 | float |
INFO - 10:04:37: | asymptote_coeff | 0.1 | 1.692599643851292 | 10 | float |
INFO - 10:04:37: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:37: Optimization problem:
INFO - 10:04:37: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:37: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:37: over the design space:
INFO - 10:04:37: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:37: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:37: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:37: | left_asymptote | 0 | 0.002327880207400993 | 0.005013383816827143 | float |
INFO - 10:04:37: | capacity | 0.001428869758313996 | 0.01852847186402458 | 0.05013383816827143 | float |
INFO - 10:04:37: | growth_rate | 0.0001220219568980951 | 0.001036520745501468 | 0.001098197612082856 | float |
INFO - 10:04:37: | x_lag | 0 | 12353.85582711948 | 13200.55816618789 | float |
INFO - 10:04:37: | logistic_nu | 0.1 | 2.425630286446258 | 10 | float |
INFO - 10:04:37: | asymptote_coeff | 0.1 | 7.080730934612159 | 10 | float |
INFO - 10:04:37: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:37: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:37: 1%| | 2/250 [00:00<00:00, 370.49 it/sec, feas=True, obj=1]
INFO - 10:04:37: 1%| | 3/250 [00:00<00:00, 375.45 it/sec, feas=True, obj=0.303]
INFO - 10:04:37: 2%|▏ | 4/250 [00:00<00:00, 367.31 it/sec, feas=True, obj=0.259]
INFO - 10:04:37: 2%|▏ | 5/250 [00:00<00:00, 365.76 it/sec, feas=True, obj=0.23]
INFO - 10:04:37: 2%|▏ | 6/250 [00:00<00:00, 360.87 it/sec, feas=True, obj=0.202]
INFO - 10:04:37: 3%|▎ | 7/250 [00:00<00:00, 357.20 it/sec, feas=True, obj=0.196]
INFO - 10:04:37: 3%|▎ | 8/250 [00:00<00:00, 357.58 it/sec, feas=True, obj=0.191]
INFO - 10:04:37: 4%|▎ | 9/250 [00:00<00:00, 355.80 it/sec, feas=True, obj=0.185]
INFO - 10:04:37: 4%|▍ | 10/250 [00:00<00:00, 353.93 it/sec, feas=True, obj=0.18]
INFO - 10:04:37: 4%|▍ | 11/250 [00:00<00:00, 352.58 it/sec, feas=True, obj=0.172]
INFO - 10:04:37: 5%|▍ | 12/250 [00:00<00:00, 351.43 it/sec, feas=True, obj=0.17]
INFO - 10:04:37: 5%|▌ | 13/250 [00:00<00:00, 348.26 it/sec, feas=True, obj=0.167]
INFO - 10:04:37: 6%|▌ | 14/250 [00:00<00:00, 347.72 it/sec, feas=True, obj=0.165]
INFO - 10:04:37: 6%|▌ | 15/250 [00:00<00:00, 347.18 it/sec, feas=True, obj=0.162]
INFO - 10:04:37: 6%|▋ | 16/250 [00:00<00:00, 346.54 it/sec, feas=True, obj=0.16]
INFO - 10:04:37: 7%|▋ | 17/250 [00:00<00:00, 344.55 it/sec, feas=True, obj=0.158]
INFO - 10:04:37: 7%|▋ | 18/250 [00:00<00:00, 344.18 it/sec, feas=True, obj=0.155]
INFO - 10:04:37: 8%|▊ | 19/250 [00:00<00:00, 343.83 it/sec, feas=True, obj=0.154]
INFO - 10:04:37: 8%|▊ | 20/250 [00:00<00:00, 342.44 it/sec, feas=True, obj=0.153]
INFO - 10:04:37: 8%|▊ | 21/250 [00:00<00:00, 342.21 it/sec, feas=True, obj=0.153]
INFO - 10:04:37: 9%|▉ | 22/250 [00:00<00:00, 342.13 it/sec, feas=True, obj=0.157]
INFO - 10:04:37: 9%|▉ | 23/250 [00:00<00:00, 341.61 it/sec, feas=True, obj=0.152]
INFO - 10:04:37: 10%|▉ | 24/250 [00:00<00:00, 341.65 it/sec, feas=True, obj=0.156]
INFO - 10:04:37: 10%|█ | 25/250 [00:00<00:00, 341.43 it/sec, feas=True, obj=0.152]
INFO - 10:04:37: 10%|█ | 26/250 [00:00<00:00, 340.61 it/sec, feas=True, obj=0.157]
INFO - 10:04:37: 11%|█ | 27/250 [00:00<00:00, 340.55 it/sec, feas=True, obj=0.152]
INFO - 10:04:37: 11%|█ | 28/250 [00:00<00:00, 340.43 it/sec, feas=True, obj=0.152]
INFO - 10:04:37: 12%|█▏ | 29/250 [00:00<00:00, 339.49 it/sec, feas=True, obj=0.152]
INFO - 10:04:37: 12%|█▏ | 30/250 [00:00<00:00, 339.49 it/sec, feas=True, obj=0.152]
INFO - 10:04:37: 12%|█▏ | 31/250 [00:00<00:00, 339.44 it/sec, feas=True, obj=0.152]
INFO - 10:04:37: 13%|█▎ | 32/250 [00:00<00:00, 339.31 it/sec, feas=True, obj=0.152]
INFO - 10:04:37: 13%|█▎ | 33/250 [00:00<00:00, 339.23 it/sec, feas=True, obj=0.151]
INFO - 10:04:37: 14%|█▎ | 34/250 [00:00<00:00, 339.21 it/sec, feas=True, obj=0.151]
INFO - 10:04:37: 14%|█▍ | 35/250 [00:00<00:00, 339.19 it/sec, feas=True, obj=0.15]
INFO - 10:04:37: 14%|█▍ | 36/250 [00:00<00:00, 338.47 it/sec, feas=True, obj=0.15]
INFO - 10:04:37: 15%|█▍ | 37/250 [00:00<00:00, 338.41 it/sec, feas=True, obj=0.149]
INFO - 10:04:37: 15%|█▌ | 38/250 [00:00<00:00, 338.35 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 16%|█▌ | 39/250 [00:00<00:00, 338.46 it/sec, feas=True, obj=0.15]
INFO - 10:04:37: 16%|█▌ | 40/250 [00:00<00:00, 338.53 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 16%|█▋ | 41/250 [00:00<00:00, 338.34 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 17%|█▋ | 42/250 [00:00<00:00, 337.65 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 17%|█▋ | 43/250 [00:00<00:00, 337.65 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 18%|█▊ | 44/250 [00:00<00:00, 337.76 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 18%|█▊ | 45/250 [00:00<00:00, 336.97 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 18%|█▊ | 46/250 [00:00<00:00, 337.21 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 19%|█▉ | 47/250 [00:00<00:00, 337.54 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 19%|█▉ | 48/250 [00:00<00:00, 336.12 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 20%|█▉ | 49/250 [00:00<00:00, 336.47 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 20%|██ | 50/250 [00:00<00:00, 336.61 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 20%|██ | 51/250 [00:00<00:00, 336.65 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 21%|██ | 52/250 [00:00<00:00, 336.67 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 21%|██ | 53/250 [00:00<00:00, 336.71 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 22%|██▏ | 54/250 [00:00<00:00, 336.84 it/sec, feas=True, obj=0.149]
INFO - 10:04:37: 22%|██▏ | 55/250 [00:00<00:00, 336.37 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 22%|██▏ | 56/250 [00:00<00:00, 336.21 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 23%|██▎ | 57/250 [00:00<00:00, 336.06 it/sec, feas=True, obj=0.287]
INFO - 10:04:37: 23%|██▎ | 58/250 [00:00<00:00, 336.20 it/sec, feas=True, obj=0.147]
INFO - 10:04:37: 24%|██▎ | 59/250 [00:00<00:00, 336.47 it/sec, feas=True, obj=0.147]
INFO - 10:04:37: 24%|██▍ | 60/250 [00:00<00:00, 336.43 it/sec, feas=True, obj=0.148]
INFO - 10:04:37: 24%|██▍ | 61/250 [00:00<00:00, 336.17 it/sec, feas=True, obj=0.146]
INFO - 10:04:37: 25%|██▍ | 62/250 [00:00<00:00, 336.46 it/sec, feas=True, obj=0.151]
INFO - 10:04:37: 25%|██▌ | 63/250 [00:00<00:00, 336.70 it/sec, feas=True, obj=0.146]
INFO - 10:04:37: 26%|██▌ | 64/250 [00:00<00:00, 336.76 it/sec, feas=True, obj=0.192]
INFO - 10:04:37: 26%|██▌ | 65/250 [00:00<00:00, 336.86 it/sec, feas=True, obj=0.146]
INFO - 10:04:37: 26%|██▋ | 66/250 [00:00<00:00, 337.07 it/sec, feas=True, obj=0.145]
INFO - 10:04:37: 27%|██▋ | 67/250 [00:00<00:00, 336.89 it/sec, feas=True, obj=0.166]
INFO - 10:04:37: 27%|██▋ | 68/250 [00:00<00:00, 337.12 it/sec, feas=True, obj=0.145]
INFO - 10:04:37: 28%|██▊ | 69/250 [00:00<00:00, 337.20 it/sec, feas=True, obj=0.145]
INFO - 10:04:37: 28%|██▊ | 70/250 [00:00<00:00, 337.08 it/sec, feas=True, obj=0.144]
INFO - 10:04:37: 28%|██▊ | 71/250 [00:00<00:00, 337.34 it/sec, feas=True, obj=0.144]
INFO - 10:04:37: 29%|██▉ | 72/250 [00:00<00:00, 337.38 it/sec, feas=True, obj=0.159]
INFO - 10:04:37: 29%|██▉ | 73/250 [00:00<00:00, 337.57 it/sec, feas=True, obj=0.144]
INFO - 10:04:37: 30%|██▉ | 74/250 [00:00<00:00, 337.59 it/sec, feas=True, obj=0.144]
INFO - 10:04:37: 30%|███ | 75/250 [00:00<00:00, 337.54 it/sec, feas=True, obj=0.144]
INFO - 10:04:37: 30%|███ | 76/250 [00:00<00:00, 337.50 it/sec, feas=True, obj=0.144]
INFO - 10:04:37: 31%|███ | 77/250 [00:00<00:00, 337.41 it/sec, feas=True, obj=0.144]
INFO - 10:04:37: 31%|███ | 78/250 [00:00<00:00, 337.41 it/sec, feas=True, obj=0.144]
INFO - 10:04:37: 32%|███▏ | 79/250 [00:00<00:00, 337.40 it/sec, feas=True, obj=0.143]
INFO - 10:04:37: 32%|███▏ | 80/250 [00:00<00:00, 337.21 it/sec, feas=True, obj=0.143]
INFO - 10:04:37: 32%|███▏ | 81/250 [00:00<00:00, 337.30 it/sec, feas=True, obj=0.159]
INFO - 10:04:37: 33%|███▎ | 82/250 [00:00<00:00, 337.29 it/sec, feas=True, obj=0.143]
INFO - 10:04:37: 33%|███▎ | 83/250 [00:00<00:00, 337.22 it/sec, feas=True, obj=0.144]
INFO - 10:04:37: 34%|███▎ | 84/250 [00:00<00:00, 337.32 it/sec, feas=True, obj=0.143]
INFO - 10:04:37: 34%|███▍ | 85/250 [00:00<00:00, 337.58 it/sec, feas=True, obj=0.143]
INFO - 10:04:37: 34%|███▍ | 86/250 [00:00<00:00, 334.95 it/sec, feas=True, obj=0.143]
INFO - 10:04:37: 35%|███▍ | 87/250 [00:00<00:00, 335.11 it/sec, feas=True, obj=0.15]
INFO - 10:04:37: 35%|███▌ | 88/250 [00:00<00:00, 335.18 it/sec, feas=True, obj=0.142]
INFO - 10:04:37: 36%|███▌ | 89/250 [00:00<00:00, 335.28 it/sec, feas=True, obj=0.187]
INFO - 10:04:37: 36%|███▌ | 90/250 [00:00<00:00, 335.30 it/sec, feas=True, obj=0.142]
INFO - 10:04:37: 36%|███▋ | 91/250 [00:00<00:00, 335.36 it/sec, feas=True, obj=0.142]
INFO - 10:04:37: 37%|███▋ | 92/250 [00:00<00:00, 335.37 it/sec, feas=True, obj=0.142]
INFO - 10:04:37: 37%|███▋ | 93/250 [00:00<00:00, 335.39 it/sec, feas=True, obj=0.142]
INFO - 10:04:37: 38%|███▊ | 94/250 [00:00<00:00, 335.31 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 38%|███▊ | 95/250 [00:00<00:00, 335.30 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 38%|███▊ | 96/250 [00:00<00:00, 335.29 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 39%|███▉ | 97/250 [00:00<00:00, 335.28 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 39%|███▉ | 98/250 [00:00<00:00, 335.33 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 40%|███▉ | 99/250 [00:00<00:00, 335.34 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 40%|████ | 100/250 [00:00<00:00, 335.41 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 40%|████ | 101/250 [00:00<00:00, 335.31 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 41%|████ | 102/250 [00:00<00:00, 335.34 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 41%|████ | 103/250 [00:00<00:00, 335.29 it/sec, feas=True, obj=0.14]
INFO - 10:04:37: 42%|████▏ | 104/250 [00:00<00:00, 335.39 it/sec, feas=True, obj=0.14]
INFO - 10:04:37: 42%|████▏ | 105/250 [00:00<00:00, 335.48 it/sec, feas=True, obj=0.14]
INFO - 10:04:37: 42%|████▏ | 106/250 [00:00<00:00, 335.62 it/sec, feas=True, obj=0.141]
INFO - 10:04:37: 43%|████▎ | 107/250 [00:00<00:00, 335.72 it/sec, feas=True, obj=0.14]
INFO - 10:04:37: 43%|████▎ | 108/250 [00:00<00:00, 335.85 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 44%|████▎ | 109/250 [00:00<00:00, 335.91 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 44%|████▍ | 110/250 [00:00<00:00, 336.00 it/sec, feas=True, obj=8.13e+6]
INFO - 10:04:38: 44%|████▍ | 111/250 [00:00<00:00, 336.12 it/sec, feas=True, obj=0.146]
INFO - 10:04:38: 45%|████▍ | 112/250 [00:00<00:00, 336.20 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 45%|████▌ | 113/250 [00:00<00:00, 336.31 it/sec, feas=True, obj=1.13e+5]
INFO - 10:04:38: 46%|████▌ | 114/250 [00:00<00:00, 336.44 it/sec, feas=True, obj=0.148]
INFO - 10:04:38: 46%|████▌ | 115/250 [00:00<00:00, 336.42 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 46%|████▋ | 116/250 [00:00<00:00, 334.55 it/sec, feas=True, obj=5.44]
INFO - 10:04:38: 47%|████▋ | 117/250 [00:00<00:00, 334.70 it/sec, feas=True, obj=0.163]
INFO - 10:04:38: 47%|████▋ | 118/250 [00:00<00:00, 334.73 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 48%|████▊ | 119/250 [00:00<00:00, 334.76 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 48%|████▊ | 120/250 [00:00<00:00, 334.70 it/sec, feas=True, obj=0.254]
INFO - 10:04:38: 48%|████▊ | 121/250 [00:00<00:00, 334.74 it/sec, feas=True, obj=0.143]
INFO - 10:04:38: 49%|████▉ | 122/250 [00:00<00:00, 334.76 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 49%|████▉ | 123/250 [00:00<00:00, 334.81 it/sec, feas=True, obj=0.162]
INFO - 10:04:38: 50%|████▉ | 124/250 [00:00<00:00, 334.82 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 50%|█████ | 125/250 [00:00<00:00, 334.89 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 50%|█████ | 126/250 [00:00<00:00, 334.98 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 51%|█████ | 127/250 [00:00<00:00, 335.04 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 51%|█████ | 128/250 [00:00<00:00, 335.18 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 52%|█████▏ | 129/250 [00:00<00:00, 335.36 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 52%|█████▏ | 130/250 [00:00<00:00, 335.58 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 52%|█████▏ | 131/250 [00:00<00:00, 335.75 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 53%|█████▎ | 132/250 [00:00<00:00, 335.90 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 53%|█████▎ | 133/250 [00:00<00:00, 334.40 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 54%|█████▎ | 134/250 [00:00<00:00, 334.57 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 54%|█████▍ | 135/250 [00:00<00:00, 334.63 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 54%|█████▍ | 136/250 [00:00<00:00, 334.82 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 55%|█████▍ | 137/250 [00:00<00:00, 334.99 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 55%|█████▌ | 138/250 [00:00<00:00, 335.17 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 56%|█████▌ | 139/250 [00:00<00:00, 335.26 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 56%|█████▌ | 140/250 [00:00<00:00, 335.44 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 56%|█████▋ | 141/250 [00:00<00:00, 335.60 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 57%|█████▋ | 142/250 [00:00<00:00, 335.71 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 57%|█████▋ | 143/250 [00:00<00:00, 335.87 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 58%|█████▊ | 144/250 [00:00<00:00, 336.10 it/sec, feas=True, obj=0.15]
INFO - 10:04:38: 58%|█████▊ | 145/250 [00:00<00:00, 336.26 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 58%|█████▊ | 146/250 [00:00<00:00, 336.41 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 59%|█████▉ | 147/250 [00:00<00:00, 336.57 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 59%|█████▉ | 148/250 [00:00<00:00, 336.75 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 60%|█████▉ | 149/250 [00:00<00:00, 336.91 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 60%|██████ | 150/250 [00:00<00:00, 337.04 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 60%|██████ | 151/250 [00:00<00:00, 337.20 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 61%|██████ | 152/250 [00:00<00:00, 337.35 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 61%|██████ | 153/250 [00:00<00:00, 337.53 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 62%|██████▏ | 154/250 [00:00<00:00, 337.65 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 62%|██████▏ | 155/250 [00:00<00:00, 337.84 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 62%|██████▏ | 156/250 [00:00<00:00, 338.02 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 63%|██████▎ | 157/250 [00:00<00:00, 338.14 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 63%|██████▎ | 158/250 [00:00<00:00, 338.25 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 64%|██████▎ | 159/250 [00:00<00:00, 338.43 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 64%|██████▍ | 160/250 [00:00<00:00, 337.02 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 64%|██████▍ | 161/250 [00:00<00:00, 337.17 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 65%|██████▍ | 162/250 [00:00<00:00, 337.32 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 65%|██████▌ | 163/250 [00:00<00:00, 337.43 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 66%|██████▌ | 164/250 [00:00<00:00, 337.55 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 66%|██████▌ | 165/250 [00:00<00:00, 337.74 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 66%|██████▋ | 166/250 [00:00<00:00, 337.87 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 67%|██████▋ | 167/250 [00:00<00:00, 338.00 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 67%|██████▋ | 168/250 [00:00<00:00, 338.11 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 68%|██████▊ | 169/250 [00:00<00:00, 338.08 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 68%|██████▊ | 170/250 [00:00<00:00, 338.24 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 68%|██████▊ | 171/250 [00:00<00:00, 338.39 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 69%|██████▉ | 172/250 [00:00<00:00, 338.51 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 69%|██████▉ | 173/250 [00:00<00:00, 338.63 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 70%|██████▉ | 174/250 [00:00<00:00, 338.64 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 70%|███████ | 175/250 [00:00<00:00, 338.78 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 70%|███████ | 176/250 [00:00<00:00, 338.90 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 71%|███████ | 177/250 [00:00<00:00, 338.91 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 71%|███████ | 178/250 [00:00<00:00, 339.00 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 72%|███████▏ | 179/250 [00:00<00:00, 339.12 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 72%|███████▏ | 180/250 [00:00<00:00, 337.87 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 72%|███████▏ | 181/250 [00:00<00:00, 337.97 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 73%|███████▎ | 182/250 [00:00<00:00, 338.05 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 73%|███████▎ | 183/250 [00:00<00:00, 338.16 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 74%|███████▎ | 184/250 [00:00<00:00, 338.23 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 74%|███████▍ | 185/250 [00:00<00:00, 338.24 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 74%|███████▍ | 186/250 [00:00<00:00, 338.28 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 75%|███████▍ | 187/250 [00:00<00:00, 338.39 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 75%|███████▌ | 188/250 [00:00<00:00, 338.45 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 76%|███████▌ | 189/250 [00:00<00:00, 338.55 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 76%|███████▌ | 190/250 [00:00<00:00, 338.66 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 76%|███████▋ | 191/250 [00:00<00:00, 338.77 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 77%|███████▋ | 192/250 [00:00<00:00, 338.91 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 77%|███████▋ | 193/250 [00:00<00:00, 339.02 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 78%|███████▊ | 194/250 [00:00<00:00, 339.15 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 78%|███████▊ | 195/250 [00:00<00:00, 339.25 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 78%|███████▊ | 196/250 [00:00<00:00, 339.38 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 79%|███████▉ | 197/250 [00:00<00:00, 339.49 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 79%|███████▉ | 198/250 [00:00<00:00, 339.57 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 80%|███████▉ | 199/250 [00:00<00:00, 339.68 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 80%|████████ | 200/250 [00:00<00:00, 339.82 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 80%|████████ | 201/250 [00:00<00:00, 339.92 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 81%|████████ | 202/250 [00:00<00:00, 340.01 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 81%|████████ | 203/250 [00:00<00:00, 340.12 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 82%|████████▏ | 204/250 [00:00<00:00, 339.01 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 82%|████████▏ | 205/250 [00:00<00:00, 339.10 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 82%|████████▏ | 206/250 [00:00<00:00, 339.17 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 83%|████████▎ | 207/250 [00:00<00:00, 339.26 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 83%|████████▎ | 208/250 [00:00<00:00, 339.32 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 84%|████████▎ | 209/250 [00:00<00:00, 339.42 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 84%|████████▍ | 210/250 [00:00<00:00, 339.48 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 84%|████████▍ | 211/250 [00:00<00:00, 339.60 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 85%|████████▍ | 212/250 [00:00<00:00, 339.68 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 85%|████████▌ | 213/250 [00:00<00:00, 339.76 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 86%|████████▌ | 214/250 [00:00<00:00, 339.84 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 86%|████████▌ | 215/250 [00:00<00:00, 339.95 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 86%|████████▋ | 216/250 [00:00<00:00, 339.97 it/sec, feas=True, obj=0.138]
INFO - 10:04:38: 87%|████████▋ | 217/250 [00:00<00:00, 340.06 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 87%|████████▋ | 218/250 [00:00<00:00, 340.13 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 88%|████████▊ | 219/250 [00:00<00:00, 340.24 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 88%|████████▊ | 220/250 [00:00<00:00, 340.33 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 88%|████████▊ | 221/250 [00:00<00:00, 340.42 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 89%|████████▉ | 222/250 [00:00<00:00, 340.50 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 89%|████████▉ | 223/250 [00:00<00:00, 340.57 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 90%|████████▉ | 224/250 [00:00<00:00, 340.66 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 90%|█████████ | 225/250 [00:00<00:00, 340.00 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 90%|█████████ | 226/250 [00:00<00:00, 340.12 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 91%|█████████ | 227/250 [00:00<00:00, 340.21 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 91%|█████████ | 228/250 [00:00<00:00, 340.30 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 92%|█████████▏| 229/250 [00:00<00:00, 340.37 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 92%|█████████▏| 230/250 [00:00<00:00, 339.85 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 92%|█████████▏| 231/250 [00:00<00:00, 339.87 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 93%|█████████▎| 232/250 [00:00<00:00, 339.94 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 93%|█████████▎| 233/250 [00:00<00:00, 339.93 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 94%|█████████▎| 234/250 [00:00<00:00, 339.96 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 94%|█████████▍| 235/250 [00:00<00:00, 339.94 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 94%|█████████▍| 236/250 [00:00<00:00, 339.99 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 95%|█████████▍| 237/250 [00:00<00:00, 339.98 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 95%|█████████▌| 238/250 [00:00<00:00, 339.94 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 96%|█████████▌| 239/250 [00:00<00:00, 339.95 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 96%|█████████▌| 240/250 [00:00<00:00, 339.94 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 96%|█████████▋| 241/250 [00:00<00:00, 340.05 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 97%|█████████▋| 242/250 [00:00<00:00, 340.14 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 97%|█████████▋| 243/250 [00:00<00:00, 340.23 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 98%|█████████▊| 244/250 [00:00<00:00, 340.30 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 98%|█████████▊| 245/250 [00:00<00:00, 340.39 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 98%|█████████▊| 246/250 [00:00<00:00, 339.45 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 99%|█████████▉| 247/250 [00:00<00:00, 339.53 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 99%|█████████▉| 248/250 [00:00<00:00, 339.62 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 100%|█████████▉| 249/250 [00:00<00:00, 339.71 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: 100%|██████████| 250/250 [00:00<00:00, 339.78 it/sec, feas=True, obj=0.137]
INFO - 10:04:38: Optimization result:
INFO - 10:04:38: Optimizer info:
INFO - 10:04:38: Status: None
INFO - 10:04:38: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 10:04:38: Solution:
INFO - 10:04:38: Objective: 0.13735444721582324
INFO - 10:04:38: Design space:
INFO - 10:04:38: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:38: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:38: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:38: | left_asymptote | 0 | 0 | 0.005013383816827143 | float |
INFO - 10:04:38: | capacity | 0.001428869758313996 | 0.03945827937447242 | 0.05013383816827143 | float |
INFO - 10:04:38: | growth_rate | 0.0001220219568980951 | 0.000233047846513944 | 0.001098197612082856 | float |
INFO - 10:04:38: | x_lag | 0 | 0 | 13200.55816618789 | float |
INFO - 10:04:38: | logistic_nu | 0.1 | 0.3514982818000825 | 10 | float |
INFO - 10:04:38: | asymptote_coeff | 0.1 | 2.090382527767975 | 10 | float |
INFO - 10:04:38: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:38: Optimization problem:
INFO - 10:04:38: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:38: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:38: over the design space:
INFO - 10:04:38: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:38: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:38: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:38: | left_asymptote | 0 | 0.003296207862218862 | 0.005013383816827143 | float |
INFO - 10:04:38: | capacity | 0.001428869758313996 | 0.0440310563359217 | 0.05013383816827143 | float |
INFO - 10:04:38: | growth_rate | 0.0001220219568980951 | 0.0004230292162267197 | 0.001098197612082856 | float |
INFO - 10:04:38: | x_lag | 0 | 1200.716173588851 | 13200.55816618789 | float |
INFO - 10:04:38: | logistic_nu | 0.1 | 1.720671591034137 | 10 | float |
INFO - 10:04:38: | asymptote_coeff | 0.1 | 6.258728338364227 | 10 | float |
INFO - 10:04:38: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:38: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:38: 1%| | 2/250 [00:00<00:00, 366.72 it/sec, feas=True, obj=1]
INFO - 10:04:38: 1%| | 3/250 [00:00<00:00, 385.22 it/sec, feas=True, obj=0.818]
INFO - 10:04:38: 2%|▏ | 4/250 [00:00<00:00, 379.60 it/sec, feas=True, obj=0.317]
INFO - 10:04:38: 2%|▏ | 5/250 [00:00<00:00, 372.62 it/sec, feas=True, obj=0.32]
INFO - 10:04:38: 2%|▏ | 6/250 [00:00<00:00, 369.24 it/sec, feas=True, obj=0.317]
INFO - 10:04:38: 3%|▎ | 7/250 [00:00<00:00, 365.81 it/sec, feas=True, obj=0.317]
INFO - 10:04:38: 3%|▎ | 8/250 [00:00<00:00, 364.20 it/sec, feas=True, obj=0.317]
INFO - 10:04:38: 4%|▎ | 9/250 [00:00<00:00, 362.52 it/sec, feas=True, obj=0.317]
INFO - 10:04:38: Optimization result:
INFO - 10:04:38: Optimizer info:
INFO - 10:04:38: Status: None
INFO - 10:04:38: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:38: Solution:
INFO - 10:04:38: Objective: 0.3165849146517937
INFO - 10:04:38: Design space:
INFO - 10:04:38: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:38: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:38: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:38: | left_asymptote | 0 | 0.002932317955516336 | 0.005013383816827143 | float |
INFO - 10:04:38: | capacity | 0.001428869758313996 | 0.03098875868259935 | 0.05013383816827143 | float |
INFO - 10:04:38: | growth_rate | 0.0001220219568980951 | 0.0003826362338178671 | 0.001098197612082856 | float |
INFO - 10:04:38: | x_lag | 0 | 4520.97306503877 | 13200.55816618789 | float |
INFO - 10:04:38: | logistic_nu | 0.1 | 0.1000348114567495 | 10 | float |
INFO - 10:04:38: | asymptote_coeff | 0.1 | 7.492381250985123 | 10 | float |
INFO - 10:04:38: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:38: Optimization problem:
INFO - 10:04:38: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:38: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:38: over the design space:
INFO - 10:04:38: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:38: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:38: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:38: | left_asymptote | 0 | 0.0004841703142727512 | 0.005013383816827143 | float |
INFO - 10:04:38: | capacity | 0.001428869758313996 | 0.03582216525471731 | 0.05013383816827143 | float |
INFO - 10:04:38: | growth_rate | 0.0001220219568980951 | 0.0004027890595975341 | 0.001098197612082856 | float |
INFO - 10:04:38: | x_lag | 0 | 12567.38118376414 | 13200.55816618789 | float |
INFO - 10:04:38: | logistic_nu | 0.1 | 6.787332013229979 | 10 | float |
INFO - 10:04:38: | asymptote_coeff | 0.1 | 1.867656520116681 | 10 | float |
INFO - 10:04:38: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:38: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:38: 1%| | 2/250 [00:00<00:00, 375.72 it/sec, feas=True, obj=1]
INFO - 10:04:38: 1%| | 3/250 [00:00<00:00, 392.04 it/sec, feas=True, obj=0.8]
INFO - 10:04:38: 2%|▏ | 4/250 [00:00<00:00, 383.61 it/sec, feas=True, obj=0.338]
INFO - 10:04:38: 2%|▏ | 5/250 [00:00<00:00, 378.66 it/sec, feas=True, obj=0.359]
INFO - 10:04:38: 2%|▏ | 6/250 [00:00<00:00, 375.99 it/sec, feas=True, obj=0.317]
INFO - 10:04:38: 3%|▎ | 7/250 [00:00<00:00, 353.09 it/sec, feas=True, obj=0.317]
INFO - 10:04:38: 3%|▎ | 8/250 [00:00<00:00, 350.02 it/sec, feas=True, obj=0.317]
INFO - 10:04:38: Optimization result:
INFO - 10:04:38: Optimizer info:
INFO - 10:04:38: Status: 0
INFO - 10:04:38: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:38: Solution:
INFO - 10:04:38: Objective: 0.31658491934985067
INFO - 10:04:38: Design space:
INFO - 10:04:38: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:38: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:38: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:38: | left_asymptote | 0 | 0.002932317003248944 | 0.005013383816827143 | float |
INFO - 10:04:38: | capacity | 0.001428869758313996 | 0.001428869758688233 | 0.05013383816827143 | float |
INFO - 10:04:38: | growth_rate | 0.0001220219568980951 | 0.001098197612082856 | 0.001098197612082856 | float |
INFO - 10:04:38: | x_lag | 0 | 13200.55816618789 | 13200.55816618789 | float |
INFO - 10:04:38: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:38: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:38: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:38: Optimization problem:
INFO - 10:04:38: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:38: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:38: over the design space:
INFO - 10:04:38: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:38: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:38: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:38: | left_asymptote | 0 | 0.003236566329019756 | 0.005013383816827143 | float |
INFO - 10:04:38: | capacity | 0.001428869758313996 | 0.03532242462614667 | 0.05013383816827143 | float |
INFO - 10:04:38: | growth_rate | 0.0001220219568980951 | 0.001069325147244358 | 0.001098197612082856 | float |
INFO - 10:04:38: | x_lag | 0 | 3228.158463735409 | 13200.55816618789 | float |
INFO - 10:04:38: | logistic_nu | 0.1 | 6.425630516779915 | 10 | float |
INFO - 10:04:38: | asymptote_coeff | 0.1 | 1.548411432916598 | 10 | float |
INFO - 10:04:38: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:38: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:38: 1%| | 2/250 [00:00<00:00, 372.12 it/sec, feas=True, obj=0.45]
INFO - 10:04:38: 1%| | 3/250 [00:00<00:00, 380.99 it/sec, feas=True, obj=0.357]
INFO - 10:04:38: 2%|▏ | 4/250 [00:00<00:00, 371.66 it/sec, feas=True, obj=0.34]
INFO - 10:04:38: 2%|▏ | 5/250 [00:00<00:00, 366.62 it/sec, feas=True, obj=0.317]
INFO - 10:04:38: 2%|▏ | 6/250 [00:00<00:00, 363.43 it/sec, feas=True, obj=0.317]
INFO - 10:04:38: 3%|▎ | 7/250 [00:00<00:00, 362.89 it/sec, feas=True, obj=0.317]
INFO - 10:04:38: Optimization result:
INFO - 10:04:38: Optimizer info:
INFO - 10:04:38: Status: 0
INFO - 10:04:38: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:38: Solution:
INFO - 10:04:38: Objective: 0.3165849193498133
INFO - 10:04:38: Design space:
INFO - 10:04:38: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:38: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:38: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:38: | left_asymptote | 0 | 0.002932316949762427 | 0.005013383816827143 | float |
INFO - 10:04:38: | capacity | 0.001428869758313996 | 0.001476361783399721 | 0.05013383816827143 | float |
INFO - 10:04:38: | growth_rate | 0.0001220219568980951 | 0.001098197612082856 | 0.001098197612082856 | float |
INFO - 10:04:38: | x_lag | 0 | 13200.55816618789 | 13200.55816618789 | float |
INFO - 10:04:38: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:38: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:38: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:38: Optimization problem:
INFO - 10:04:38: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:38: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:38: over the design space:
INFO - 10:04:38: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:38: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:38: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:38: | left_asymptote | 0 | 0.0009599908928736735 | 0.005013383816827143 | float |
INFO - 10:04:38: | capacity | 0.001428869758313996 | 0.004835407274845632 | 0.05013383816827143 | float |
INFO - 10:04:38: | growth_rate | 0.0001220219568980951 | 0.0009809366436052877 | 0.001098197612082856 | float |
INFO - 10:04:38: | x_lag | 0 | 1476.711337686184 | 13200.55816618789 | float |
INFO - 10:04:38: | logistic_nu | 0.1 | 7.841656902223648 | 10 | float |
INFO - 10:04:38: | asymptote_coeff | 0.1 | 5.549818106841609 | 10 | float |
INFO - 10:04:38: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:38: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:38: 1%| | 2/250 [00:00<00:00, 382.67 it/sec, feas=True, obj=0.708]
INFO - 10:04:38: 1%| | 3/250 [00:00<00:00, 389.32 it/sec, feas=True, obj=0.304]
INFO - 10:04:38: 2%|▏ | 4/250 [00:00<00:00, 378.74 it/sec, feas=True, obj=0.303]
INFO - 10:04:38: 2%|▏ | 5/250 [00:00<00:00, 372.30 it/sec, feas=True, obj=0.302]
INFO - 10:04:38: 2%|▏ | 6/250 [00:00<00:00, 367.92 it/sec, feas=True, obj=0.301]
INFO - 10:04:38: 3%|▎ | 7/250 [00:00<00:00, 365.66 it/sec, feas=True, obj=0.297]
INFO - 10:04:38: 3%|▎ | 8/250 [00:00<00:00, 363.52 it/sec, feas=True, obj=0.816]
INFO - 10:04:38: 4%|▎ | 9/250 [00:00<00:00, 361.78 it/sec, feas=True, obj=0.289]
INFO - 10:04:38: 4%|▍ | 10/250 [00:00<00:00, 360.04 it/sec, feas=True, obj=0.181]
INFO - 10:04:38: 4%|▍ | 11/250 [00:00<00:00, 359.05 it/sec, feas=True, obj=0.274]
INFO - 10:04:38: 5%|▍ | 12/250 [00:00<00:00, 354.44 it/sec, feas=True, obj=0.175]
INFO - 10:04:38: 5%|▌ | 13/250 [00:00<00:00, 354.19 it/sec, feas=True, obj=1]
INFO - 10:04:38: 6%|▌ | 14/250 [00:00<00:00, 353.78 it/sec, feas=True, obj=0.173]
INFO - 10:04:38: 6%|▌ | 15/250 [00:00<00:00, 354.70 it/sec, feas=True, obj=0.213]
INFO - 10:04:38: 6%|▋ | 16/250 [00:00<00:00, 352.89 it/sec, feas=True, obj=0.157]
INFO - 10:04:38: 7%|▋ | 17/250 [00:00<00:00, 353.31 it/sec, feas=True, obj=0.157]
INFO - 10:04:38: 7%|▋ | 18/250 [00:00<00:00, 353.41 it/sec, feas=True, obj=0.157]
INFO - 10:04:38: 8%|▊ | 19/250 [00:00<00:00, 353.02 it/sec, feas=True, obj=0.156]
INFO - 10:04:38: 8%|▊ | 20/250 [00:00<00:00, 353.09 it/sec, feas=True, obj=0.156]
INFO - 10:04:38: 8%|▊ | 21/250 [00:00<00:00, 342.18 it/sec, feas=True, obj=0.156]
INFO - 10:04:38: 9%|▉ | 22/250 [00:00<00:00, 342.89 it/sec, feas=True, obj=0.155]
INFO - 10:04:38: 9%|▉ | 23/250 [00:00<00:00, 341.78 it/sec, feas=True, obj=0.172]
INFO - 10:04:38: 10%|▉ | 24/250 [00:00<00:00, 341.93 it/sec, feas=True, obj=0.155]
INFO - 10:04:38: 10%|█ | 25/250 [00:00<00:00, 342.11 it/sec, feas=True, obj=0.154]
INFO - 10:04:38: 10%|█ | 26/250 [00:00<00:00, 342.14 it/sec, feas=True, obj=0.153]
INFO - 10:04:38: 11%|█ | 27/250 [00:00<00:00, 342.33 it/sec, feas=True, obj=0.152]
INFO - 10:04:38: 11%|█ | 28/250 [00:00<00:00, 342.32 it/sec, feas=True, obj=0.152]
INFO - 10:04:38: 12%|█▏ | 29/250 [00:00<00:00, 342.59 it/sec, feas=True, obj=0.151]
INFO - 10:04:38: 12%|█▏ | 30/250 [00:00<00:00, 342.50 it/sec, feas=True, obj=0.151]
INFO - 10:04:38: 12%|█▏ | 31/250 [00:00<00:00, 342.60 it/sec, feas=True, obj=0.149]
INFO - 10:04:38: 13%|█▎ | 32/250 [00:00<00:00, 342.61 it/sec, feas=True, obj=0.148]
INFO - 10:04:38: 13%|█▎ | 33/250 [00:00<00:00, 343.20 it/sec, feas=True, obj=0.193]
INFO - 10:04:38: 14%|█▎ | 34/250 [00:00<00:00, 343.71 it/sec, feas=True, obj=0.148]
INFO - 10:04:38: 14%|█▍ | 35/250 [00:00<00:00, 344.11 it/sec, feas=True, obj=0.147]
INFO - 10:04:38: 14%|█▍ | 36/250 [00:00<00:00, 344.59 it/sec, feas=True, obj=0.147]
INFO - 10:04:38: 15%|█▍ | 37/250 [00:00<00:00, 345.06 it/sec, feas=True, obj=0.145]
INFO - 10:04:38: 15%|█▌ | 38/250 [00:00<00:00, 345.58 it/sec, feas=True, obj=0.146]
INFO - 10:04:38: 16%|█▌ | 39/250 [00:00<00:00, 345.89 it/sec, feas=True, obj=0.145]
INFO - 10:04:38: 16%|█▌ | 40/250 [00:00<00:00, 346.17 it/sec, feas=True, obj=0.144]
INFO - 10:04:38: 16%|█▋ | 41/250 [00:00<00:00, 340.58 it/sec, feas=True, obj=0.144]
INFO - 10:04:38: 17%|█▋ | 42/250 [00:00<00:00, 340.66 it/sec, feas=True, obj=0.91]
INFO - 10:04:38: 17%|█▋ | 43/250 [00:00<00:00, 341.01 it/sec, feas=True, obj=0.144]
INFO - 10:04:38: 18%|█▊ | 44/250 [00:00<00:00, 340.81 it/sec, feas=True, obj=0.144]
INFO - 10:04:38: 18%|█▊ | 45/250 [00:00<00:00, 341.12 it/sec, feas=True, obj=0.144]
INFO - 10:04:38: 18%|█▊ | 46/250 [00:00<00:00, 341.16 it/sec, feas=True, obj=0.15]
INFO - 10:04:38: 19%|█▉ | 47/250 [00:00<00:00, 341.05 it/sec, feas=True, obj=0.144]
INFO - 10:04:38: 19%|█▉ | 48/250 [00:00<00:00, 341.14 it/sec, feas=True, obj=0.144]
INFO - 10:04:38: 20%|█▉ | 49/250 [00:00<00:00, 341.27 it/sec, feas=True, obj=0.144]
INFO - 10:04:38: 20%|██ | 50/250 [00:00<00:00, 341.07 it/sec, feas=True, obj=0.144]
INFO - 10:04:38: 20%|██ | 51/250 [00:00<00:00, 341.54 it/sec, feas=True, obj=0.666]
INFO - 10:04:38: 21%|██ | 52/250 [00:00<00:00, 341.88 it/sec, feas=True, obj=0.144]
INFO - 10:04:38: 21%|██ | 53/250 [00:00<00:00, 341.70 it/sec, feas=True, obj=0.149]
INFO - 10:04:38: 22%|██▏ | 54/250 [00:00<00:00, 342.01 it/sec, feas=True, obj=0.144]
INFO - 10:04:38: 22%|██▏ | 55/250 [00:00<00:00, 342.23 it/sec, feas=True, obj=0.236]
INFO - 10:04:38: 22%|██▏ | 56/250 [00:00<00:00, 342.42 it/sec, feas=True, obj=0.144]
INFO - 10:04:38: 23%|██▎ | 57/250 [00:00<00:00, 338.51 it/sec, feas=True, obj=0.143]
INFO - 10:04:38: 23%|██▎ | 58/250 [00:00<00:00, 338.32 it/sec, feas=True, obj=0.151]
INFO - 10:04:38: 24%|██▎ | 59/250 [00:00<00:00, 338.44 it/sec, feas=True, obj=0.143]
INFO - 10:04:38: 24%|██▍ | 60/250 [00:00<00:00, 338.57 it/sec, feas=True, obj=0.143]
INFO - 10:04:38: 24%|██▍ | 61/250 [00:00<00:00, 338.68 it/sec, feas=True, obj=0.143]
INFO - 10:04:38: 25%|██▍ | 62/250 [00:00<00:00, 338.67 it/sec, feas=True, obj=0.143]
INFO - 10:04:38: 25%|██▌ | 63/250 [00:00<00:00, 338.71 it/sec, feas=True, obj=0.143]
INFO - 10:04:38: 26%|██▌ | 64/250 [00:00<00:00, 338.70 it/sec, feas=True, obj=0.143]
INFO - 10:04:38: 26%|██▌ | 65/250 [00:00<00:00, 338.80 it/sec, feas=True, obj=0.145]
INFO - 10:04:38: 26%|██▋ | 66/250 [00:00<00:00, 338.97 it/sec, feas=True, obj=0.143]
INFO - 10:04:38: 27%|██▋ | 67/250 [00:00<00:00, 339.24 it/sec, feas=True, obj=0.143]
INFO - 10:04:38: 27%|██▋ | 68/250 [00:00<00:00, 339.39 it/sec, feas=True, obj=0.143]
INFO - 10:04:38: 28%|██▊ | 69/250 [00:00<00:00, 339.73 it/sec, feas=True, obj=0.143]
INFO - 10:04:38: 28%|██▊ | 70/250 [00:00<00:00, 340.05 it/sec, feas=True, obj=0.143]
INFO - 10:04:38: 28%|██▊ | 71/250 [00:00<00:00, 340.29 it/sec, feas=True, obj=0.142]
INFO - 10:04:38: 29%|██▉ | 72/250 [00:00<00:00, 340.48 it/sec, feas=True, obj=0.142]
INFO - 10:04:38: 29%|██▉ | 73/250 [00:00<00:00, 340.57 it/sec, feas=True, obj=0.142]
INFO - 10:04:38: 30%|██▉ | 74/250 [00:00<00:00, 340.57 it/sec, feas=True, obj=0.142]
INFO - 10:04:38: 30%|███ | 75/250 [00:00<00:00, 340.58 it/sec, feas=True, obj=0.142]
INFO - 10:04:38: 30%|███ | 76/250 [00:00<00:00, 340.65 it/sec, feas=True, obj=0.142]
INFO - 10:04:38: 31%|███ | 77/250 [00:00<00:00, 340.81 it/sec, feas=True, obj=0.142]
INFO - 10:04:38: 31%|███ | 78/250 [00:00<00:00, 341.03 it/sec, feas=True, obj=0.177]
INFO - 10:04:38: 32%|███▏ | 79/250 [00:00<00:00, 341.14 it/sec, feas=True, obj=0.142]
INFO - 10:04:38: 32%|███▏ | 80/250 [00:00<00:00, 341.36 it/sec, feas=True, obj=0.155]
INFO - 10:04:38: 32%|███▏ | 81/250 [00:00<00:00, 341.56 it/sec, feas=True, obj=0.142]
INFO - 10:04:38: 33%|███▎ | 82/250 [00:00<00:00, 341.74 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 33%|███▎ | 83/250 [00:00<00:00, 341.87 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 34%|███▎ | 84/250 [00:00<00:00, 341.99 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 34%|███▍ | 85/250 [00:00<00:00, 342.13 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 34%|███▍ | 86/250 [00:00<00:00, 342.16 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 35%|███▍ | 87/250 [00:00<00:00, 342.44 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 35%|███▌ | 88/250 [00:00<00:00, 342.61 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 36%|███▌ | 89/250 [00:00<00:00, 342.75 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 36%|███▌ | 90/250 [00:00<00:00, 341.66 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 36%|███▋ | 91/250 [00:00<00:00, 341.74 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 37%|███▋ | 92/250 [00:00<00:00, 341.90 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 37%|███▋ | 93/250 [00:00<00:00, 341.70 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 38%|███▊ | 94/250 [00:00<00:00, 341.86 it/sec, feas=True, obj=0.142]
INFO - 10:04:38: 38%|███▊ | 95/250 [00:00<00:00, 341.98 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 38%|███▊ | 96/250 [00:00<00:00, 342.02 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 39%|███▉ | 97/250 [00:00<00:00, 341.95 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 39%|███▉ | 98/250 [00:00<00:00, 342.13 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 40%|███▉ | 99/250 [00:00<00:00, 342.24 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 40%|████ | 100/250 [00:00<00:00, 342.20 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 40%|████ | 101/250 [00:00<00:00, 342.36 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 41%|████ | 102/250 [00:00<00:00, 342.48 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 41%|████ | 103/250 [00:00<00:00, 342.44 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 42%|████▏ | 104/250 [00:00<00:00, 342.49 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 42%|████▏ | 105/250 [00:00<00:00, 342.59 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 42%|████▏ | 106/250 [00:00<00:00, 342.55 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 43%|████▎ | 107/250 [00:00<00:00, 342.70 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 43%|████▎ | 108/250 [00:00<00:00, 342.61 it/sec, feas=True, obj=0.141]
INFO - 10:04:38: 44%|████▎ | 109/250 [00:00<00:00, 342.74 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 44%|████▍ | 110/250 [00:00<00:00, 342.89 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 44%|████▍ | 111/250 [00:00<00:00, 342.98 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 45%|████▍ | 112/250 [00:00<00:00, 343.04 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 45%|████▌ | 113/250 [00:00<00:00, 343.18 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 46%|████▌ | 114/250 [00:00<00:00, 343.26 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 46%|████▌ | 115/250 [00:00<00:00, 343.22 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 46%|████▋ | 116/250 [00:00<00:00, 343.16 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 47%|████▋ | 117/250 [00:00<00:00, 343.18 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 47%|████▋ | 118/250 [00:00<00:00, 343.22 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 48%|████▊ | 119/250 [00:00<00:00, 343.14 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 48%|████▊ | 120/250 [00:00<00:00, 343.14 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 48%|████▊ | 121/250 [00:00<00:00, 343.23 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 49%|████▉ | 122/250 [00:00<00:00, 343.01 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 49%|████▉ | 123/250 [00:00<00:00, 343.03 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 50%|████▉ | 124/250 [00:00<00:00, 343.11 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 50%|█████ | 125/250 [00:00<00:00, 342.70 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 50%|█████ | 126/250 [00:00<00:00, 342.75 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 51%|█████ | 127/250 [00:00<00:00, 342.66 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 51%|█████ | 128/250 [00:00<00:00, 342.68 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 52%|█████▏ | 129/250 [00:00<00:00, 342.49 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 52%|█████▏ | 130/250 [00:00<00:00, 342.47 it/sec, feas=True, obj=0.14]
INFO - 10:04:38: 52%|█████▏ | 131/250 [00:00<00:00, 342.40 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 53%|█████▎ | 132/250 [00:00<00:00, 342.25 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 53%|█████▎ | 133/250 [00:00<00:00, 342.23 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 54%|█████▎ | 134/250 [00:00<00:00, 342.26 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 54%|█████▍ | 135/250 [00:00<00:00, 342.04 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 54%|█████▍ | 136/250 [00:00<00:00, 342.02 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 55%|█████▍ | 137/250 [00:00<00:00, 342.04 it/sec, feas=True, obj=0.142]
INFO - 10:04:38: 55%|█████▌ | 138/250 [00:00<00:00, 341.86 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 56%|█████▌ | 139/250 [00:00<00:00, 341.68 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 56%|█████▌ | 140/250 [00:00<00:00, 341.64 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 56%|█████▋ | 141/250 [00:00<00:00, 341.63 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 57%|█████▋ | 142/250 [00:00<00:00, 341.46 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 57%|█████▋ | 143/250 [00:00<00:00, 341.46 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 58%|█████▊ | 144/250 [00:00<00:00, 341.43 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 58%|█████▊ | 145/250 [00:00<00:00, 341.25 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 58%|█████▊ | 146/250 [00:00<00:00, 341.22 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 59%|█████▉ | 147/250 [00:00<00:00, 341.23 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 59%|█████▉ | 148/250 [00:00<00:00, 341.06 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 60%|█████▉ | 149/250 [00:00<00:00, 341.06 it/sec, feas=True, obj=6.02e+8]
INFO - 10:04:38: 60%|██████ | 150/250 [00:00<00:00, 341.07 it/sec, feas=True, obj=0.176]
INFO - 10:04:38: 60%|██████ | 151/250 [00:00<00:00, 340.91 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 61%|██████ | 152/250 [00:00<00:00, 340.92 it/sec, feas=True, obj=8.55e+8]
INFO - 10:04:38: 61%|██████ | 153/250 [00:00<00:00, 340.94 it/sec, feas=True, obj=0.177]
INFO - 10:04:38: 62%|██████▏ | 154/250 [00:00<00:00, 340.79 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 62%|██████▏ | 155/250 [00:00<00:00, 340.78 it/sec, feas=True, obj=8.81e+8]
INFO - 10:04:38: 62%|██████▏ | 156/250 [00:00<00:00, 340.79 it/sec, feas=True, obj=0.177]
INFO - 10:04:38: 63%|██████▎ | 157/250 [00:00<00:00, 340.78 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 63%|██████▎ | 158/250 [00:00<00:00, 340.79 it/sec, feas=True, obj=8.84e+8]
INFO - 10:04:38: 64%|██████▎ | 159/250 [00:00<00:00, 340.81 it/sec, feas=True, obj=0.177]
INFO - 10:04:38: 64%|██████▍ | 160/250 [00:00<00:00, 340.81 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 64%|██████▍ | 161/250 [00:00<00:00, 340.70 it/sec, feas=True, obj=8.85e+8]
INFO - 10:04:38: 65%|██████▍ | 162/250 [00:00<00:00, 340.69 it/sec, feas=True, obj=0.177]
INFO - 10:04:38: 65%|██████▌ | 163/250 [00:00<00:00, 340.66 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 66%|██████▌ | 164/250 [00:00<00:00, 340.55 it/sec, feas=True, obj=9.14e+8]
INFO - 10:04:38: 66%|██████▌ | 165/250 [00:00<00:00, 340.56 it/sec, feas=True, obj=0.177]
INFO - 10:04:38: 66%|██████▋ | 166/250 [00:00<00:00, 340.56 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 67%|██████▋ | 167/250 [00:00<00:00, 340.56 it/sec, feas=True, obj=9.16e+8]
INFO - 10:04:38: 67%|██████▋ | 168/250 [00:00<00:00, 340.62 it/sec, feas=True, obj=0.177]
INFO - 10:04:38: 68%|██████▊ | 169/250 [00:00<00:00, 340.60 it/sec, feas=True, obj=0.139]
INFO - 10:04:38: 68%|██████▊ | 170/250 [00:00<00:00, 340.62 it/sec, feas=True, obj=9.38e+8]
INFO - 10:04:38: 68%|██████▊ | 171/250 [00:00<00:00, 340.70 it/sec, feas=True, obj=0.177]
INFO - 10:04:39: 69%|██████▉ | 172/250 [00:00<00:00, 340.75 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 69%|██████▉ | 173/250 [00:00<00:00, 340.82 it/sec, feas=True, obj=9.74e+8]
INFO - 10:04:39: 70%|██████▉ | 174/250 [00:00<00:00, 340.82 it/sec, feas=True, obj=0.178]
INFO - 10:04:39: 70%|███████ | 175/250 [00:00<00:00, 340.88 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 70%|███████ | 176/250 [00:00<00:00, 341.00 it/sec, feas=True, obj=9.76e+8]
INFO - 10:04:39: 71%|███████ | 177/250 [00:00<00:00, 341.10 it/sec, feas=True, obj=0.178]
INFO - 10:04:39: 71%|███████ | 178/250 [00:00<00:00, 341.15 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 72%|███████▏ | 179/250 [00:00<00:00, 341.15 it/sec, feas=True, obj=9.89e+8]
INFO - 10:04:39: 72%|███████▏ | 180/250 [00:00<00:00, 341.16 it/sec, feas=True, obj=0.178]
INFO - 10:04:39: 72%|███████▏ | 181/250 [00:00<00:00, 341.14 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 73%|███████▎ | 182/250 [00:00<00:00, 341.24 it/sec, feas=True, obj=9.9e+8]
INFO - 10:04:39: 73%|███████▎ | 183/250 [00:00<00:00, 341.20 it/sec, feas=True, obj=0.178]
INFO - 10:04:39: 74%|███████▎ | 184/250 [00:00<00:00, 341.11 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 74%|███████▍ | 185/250 [00:00<00:00, 341.14 it/sec, feas=True, obj=9.89e+8]
INFO - 10:04:39: 74%|███████▍ | 186/250 [00:00<00:00, 341.18 it/sec, feas=True, obj=0.178]
INFO - 10:04:39: 75%|███████▍ | 187/250 [00:00<00:00, 341.24 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 75%|███████▌ | 188/250 [00:00<00:00, 341.24 it/sec, feas=True, obj=9.95e+8]
INFO - 10:04:39: 76%|███████▌ | 189/250 [00:00<00:00, 341.25 it/sec, feas=True, obj=0.178]
INFO - 10:04:39: 76%|███████▌ | 190/250 [00:00<00:00, 341.23 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 76%|███████▋ | 191/250 [00:00<00:00, 341.17 it/sec, feas=True, obj=1.01e+9]
INFO - 10:04:39: 77%|███████▋ | 192/250 [00:00<00:00, 341.15 it/sec, feas=True, obj=0.178]
INFO - 10:04:39: 77%|███████▋ | 193/250 [00:00<00:00, 341.10 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 78%|███████▊ | 194/250 [00:00<00:00, 341.10 it/sec, feas=True, obj=1.06e+9]
INFO - 10:04:39: 78%|███████▊ | 195/250 [00:00<00:00, 341.09 it/sec, feas=True, obj=0.182]
INFO - 10:04:39: 78%|███████▊ | 196/250 [00:00<00:00, 341.07 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 79%|███████▉ | 197/250 [00:00<00:00, 340.99 it/sec, feas=True, obj=9.52e+8]
INFO - 10:04:39: 79%|███████▉ | 198/250 [00:00<00:00, 340.01 it/sec, feas=True, obj=0.185]
INFO - 10:04:39: 80%|███████▉ | 199/250 [00:00<00:00, 339.91 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 80%|████████ | 200/250 [00:00<00:00, 339.92 it/sec, feas=True, obj=8.35e+8]
INFO - 10:04:39: 80%|████████ | 201/250 [00:00<00:00, 339.97 it/sec, feas=True, obj=0.186]
INFO - 10:04:39: 81%|████████ | 202/250 [00:00<00:00, 339.99 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 81%|████████ | 203/250 [00:00<00:00, 340.01 it/sec, feas=True, obj=8.07e+8]
INFO - 10:04:39: 82%|████████▏ | 204/250 [00:00<00:00, 340.03 it/sec, feas=True, obj=0.195]
INFO - 10:04:39: 82%|████████▏ | 205/250 [00:00<00:00, 340.03 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 82%|████████▏ | 206/250 [00:00<00:00, 340.07 it/sec, feas=True, obj=2.43]
INFO - 10:04:39: 83%|████████▎ | 207/250 [00:00<00:00, 340.12 it/sec, feas=True, obj=0.151]
INFO - 10:04:39: 83%|████████▎ | 208/250 [00:00<00:00, 340.12 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 84%|████████▎ | 209/250 [00:00<00:00, 340.14 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 84%|████████▍ | 210/250 [00:00<00:00, 340.25 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 84%|████████▍ | 211/250 [00:00<00:00, 340.26 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 85%|████████▍ | 212/250 [00:00<00:00, 340.29 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 85%|████████▌ | 213/250 [00:00<00:00, 340.30 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 86%|████████▌ | 214/250 [00:00<00:00, 340.30 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 86%|████████▌ | 215/250 [00:00<00:00, 340.34 it/sec, feas=True, obj=0.144]
INFO - 10:04:39: 86%|████████▋ | 216/250 [00:00<00:00, 340.36 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 87%|████████▋ | 217/250 [00:00<00:00, 340.39 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 87%|████████▋ | 218/250 [00:00<00:00, 340.39 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 88%|████████▊ | 219/250 [00:00<00:00, 340.44 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 88%|████████▊ | 220/250 [00:00<00:00, 340.45 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 88%|████████▊ | 221/250 [00:00<00:00, 340.50 it/sec, feas=True, obj=0.171]
INFO - 10:04:39: 89%|████████▉ | 222/250 [00:00<00:00, 340.53 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 89%|████████▉ | 223/250 [00:00<00:00, 340.56 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 90%|████████▉ | 224/250 [00:00<00:00, 340.54 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 90%|█████████ | 225/250 [00:00<00:00, 340.58 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 90%|█████████ | 226/250 [00:00<00:00, 340.55 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 91%|█████████ | 227/250 [00:00<00:00, 340.60 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 91%|█████████ | 228/250 [00:00<00:00, 340.65 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 92%|█████████▏| 229/250 [00:00<00:00, 340.55 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 92%|█████████▏| 230/250 [00:00<00:00, 340.66 it/sec, feas=True, obj=0.163]
INFO - 10:04:39: 92%|█████████▏| 231/250 [00:00<00:00, 340.74 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 93%|█████████▎| 232/250 [00:00<00:00, 340.79 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 93%|█████████▎| 233/250 [00:00<00:00, 340.87 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 94%|█████████▎| 234/250 [00:00<00:00, 340.94 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 94%|█████████▍| 235/250 [00:00<00:00, 341.02 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 94%|█████████▍| 236/250 [00:00<00:00, 341.05 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 95%|█████████▍| 237/250 [00:00<00:00, 341.10 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 95%|█████████▌| 238/250 [00:00<00:00, 341.15 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 96%|█████████▌| 239/250 [00:00<00:00, 340.29 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 96%|█████████▌| 240/250 [00:00<00:00, 340.36 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 96%|█████████▋| 241/250 [00:00<00:00, 340.30 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 97%|█████████▋| 242/250 [00:00<00:00, 340.31 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 97%|█████████▋| 243/250 [00:00<00:00, 340.40 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 98%|█████████▊| 244/250 [00:00<00:00, 340.47 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 98%|█████████▊| 245/250 [00:00<00:00, 340.54 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 98%|█████████▊| 246/250 [00:00<00:00, 340.63 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 99%|█████████▉| 247/250 [00:00<00:00, 340.70 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 99%|█████████▉| 248/250 [00:00<00:00, 340.76 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 100%|█████████▉| 249/250 [00:00<00:00, 340.84 it/sec, feas=True, obj=0.137]
INFO - 10:04:39: 100%|██████████| 250/250 [00:00<00:00, 340.93 it/sec, feas=True, obj=0.137]
INFO - 10:04:39: Optimization result:
INFO - 10:04:39: Optimizer info:
INFO - 10:04:39: Status: None
INFO - 10:04:39: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 10:04:39: Solution:
INFO - 10:04:39: Objective: 0.13748376007636987
INFO - 10:04:39: Design space:
INFO - 10:04:39: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:39: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:39: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:39: | left_asymptote | 0 | 0 | 0.005013383816827143 | float |
INFO - 10:04:39: | capacity | 0.001428869758313996 | 0.04411590649397912 | 0.05013383816827143 | float |
INFO - 10:04:39: | growth_rate | 0.0001220219568980951 | 0.0002177560199634383 | 0.001098197612082856 | float |
INFO - 10:04:39: | x_lag | 0 | 492.943606724798 | 13200.55816618789 | float |
INFO - 10:04:39: | logistic_nu | 0.1 | 0.3652891871785969 | 10 | float |
INFO - 10:04:39: | asymptote_coeff | 0.1 | 2.21959079503921 | 10 | float |
INFO - 10:04:39: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:39: Optimization problem:
INFO - 10:04:39: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:39: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:39: over the design space:
INFO - 10:04:39: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:39: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:39: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:39: | left_asymptote | 0 | 0.0002064052188704285 | 0.005013383816827143 | float |
INFO - 10:04:39: | capacity | 0.001428869758313996 | 0.01354604287704422 | 0.05013383816827143 | float |
INFO - 10:04:39: | growth_rate | 0.0001220219568980951 | 0.0006910442268580454 | 0.001098197612082856 | float |
INFO - 10:04:39: | x_lag | 0 | 8208.814883231133 | 13200.55816618789 | float |
INFO - 10:04:39: | logistic_nu | 0.1 | 5.62268233127262 | 10 | float |
INFO - 10:04:39: | asymptote_coeff | 0.1 | 8.355177201624285 | 10 | float |
INFO - 10:04:39: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:39: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:39: 1%| | 2/250 [00:00<00:00, 372.18 it/sec, feas=True, obj=1]
INFO - 10:04:39: 1%| | 3/250 [00:00<00:00, 383.99 it/sec, feas=True, obj=0.876]
INFO - 10:04:39: 2%|▏ | 4/250 [00:00<00:00, 377.16 it/sec, feas=True, obj=0.43]
INFO - 10:04:39: 2%|▏ | 5/250 [00:00<00:00, 366.24 it/sec, feas=True, obj=0.744]
INFO - 10:04:39: 2%|▏ | 6/250 [00:00<00:00, 364.90 it/sec, feas=True, obj=0.318]
INFO - 10:04:39: 3%|▎ | 7/250 [00:00<00:00, 363.80 it/sec, feas=True, obj=0.317]
INFO - 10:04:39: 3%|▎ | 8/250 [00:00<00:00, 362.64 it/sec, feas=True, obj=0.317]
INFO - 10:04:39: 4%|▎ | 9/250 [00:00<00:00, 358.81 it/sec, feas=True, obj=0.317]
INFO - 10:04:39: Optimization result:
INFO - 10:04:39: Optimizer info:
INFO - 10:04:39: Status: 0
INFO - 10:04:39: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:39: Solution:
INFO - 10:04:39: Objective: 0.316584919349852
INFO - 10:04:39: Design space:
INFO - 10:04:39: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:39: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:39: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:39: | left_asymptote | 0 | 0.00293231708367569 | 0.005013383816827143 | float |
INFO - 10:04:39: | capacity | 0.001428869758313996 | 0.001428869758665794 | 0.05013383816827143 | float |
INFO - 10:04:39: | growth_rate | 0.0001220219568980951 | 0.001098197612082856 | 0.001098197612082856 | float |
INFO - 10:04:39: | x_lag | 0 | 13200.55816618789 | 13200.55816618789 | float |
INFO - 10:04:39: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:39: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:39: +-----------------+-----------------------+----------------------+----------------------+-------+
INFO - 10:04:39: Optimization problem:
INFO - 10:04:39: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:39: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:39: over the design space:
INFO - 10:04:39: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:39: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:39: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:39: | left_asymptote | 0 | 0.004470929408826713 | 0.005013383816827143 | float |
INFO - 10:04:39: | capacity | 0.001428869758313996 | 0.0306828747002801 | 0.05013383816827143 | float |
INFO - 10:04:39: | growth_rate | 0.0001220219568980951 | 0.0009322326506773585 | 0.001098197612082856 | float |
INFO - 10:04:39: | x_lag | 0 | 7151.737106708963 | 13200.55816618789 | float |
INFO - 10:04:39: | logistic_nu | 0.1 | 0.8873151181548338 | 10 | float |
INFO - 10:04:39: | asymptote_coeff | 0.1 | 3.019796092071068 | 10 | float |
INFO - 10:04:39: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:39: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:39: 1%| | 2/250 [00:00<00:00, 395.15 it/sec, feas=True, obj=1]
INFO - 10:04:39: 1%| | 3/250 [00:00<00:00, 404.97 it/sec, feas=True, obj=0.545]
INFO - 10:04:39: 2%|▏ | 4/250 [00:00<00:00, 331.97 it/sec, feas=True, obj=0.744]
INFO - 10:04:39: 2%|▏ | 5/250 [00:00<00:00, 337.84 it/sec, feas=True, obj=0.318]
INFO - 10:04:39: 2%|▏ | 6/250 [00:00<00:00, 341.28 it/sec, feas=True, obj=0.318]
INFO - 10:04:39: 3%|▎ | 7/250 [00:00<00:00, 343.63 it/sec, feas=True, obj=0.317]
INFO - 10:04:39: 3%|▎ | 8/250 [00:00<00:00, 345.03 it/sec, feas=True, obj=0.317]
INFO - 10:04:39: 4%|▎ | 9/250 [00:00<00:00, 347.40 it/sec, feas=True, obj=0.317]
INFO - 10:04:39: Optimization result:
INFO - 10:04:39: Optimizer info:
INFO - 10:04:39: Status: None
INFO - 10:04:39: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:39: Solution:
INFO - 10:04:39: Objective: 0.31658490796682565
INFO - 10:04:39: Design space:
INFO - 10:04:39: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:39: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:39: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:39: | left_asymptote | 0 | 0.002932318224473219 | 0.005013383816827143 | float |
INFO - 10:04:39: | capacity | 0.001428869758313996 | 0.01815246884937397 | 0.05013383816827143 | float |
INFO - 10:04:39: | growth_rate | 0.0001220219568980951 | 0.0009707051069159789 | 0.001098197612082856 | float |
INFO - 10:04:39: | x_lag | 0 | 9734.569204580786 | 13200.55816618789 | float |
INFO - 10:04:39: | logistic_nu | 0.1 | 0.1000762624435063 | 10 | float |
INFO - 10:04:39: | asymptote_coeff | 0.1 | 6.107572981902948 | 10 | float |
INFO - 10:04:39: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:39: Optimization problem:
INFO - 10:04:39: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:39: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:39: over the design space:
INFO - 10:04:39: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:39: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:39: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:39: | left_asymptote | 0 | 0.002702866652174218 | 0.005013383816827143 | float |
INFO - 10:04:39: | capacity | 0.001428869758313996 | 0.04215075155069191 | 0.05013383816827143 | float |
INFO - 10:04:39: | growth_rate | 0.0001220219568980951 | 0.0008133689826947225 | 0.001098197612082856 | float |
INFO - 10:04:39: | x_lag | 0 | 7587.028358781015 | 13200.55816618789 | float |
INFO - 10:04:39: | logistic_nu | 0.1 | 9.519289087607232 | 10 | float |
INFO - 10:04:39: | asymptote_coeff | 0.1 | 9.085777545900603 | 10 | float |
INFO - 10:04:39: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:39: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:39: 1%| | 2/249 [00:00<00:00, 384.92 it/sec, feas=True, obj=0.95]
INFO - 10:04:39: 1%| | 3/249 [00:00<00:00, 389.84 it/sec, feas=True, obj=0.681]
INFO - 10:04:39: 2%|▏ | 4/249 [00:00<00:00, 383.72 it/sec, feas=True, obj=0.646]
INFO - 10:04:39: 2%|▏ | 5/249 [00:00<00:00, 380.21 it/sec, feas=True, obj=0.306]
INFO - 10:04:39: 2%|▏ | 6/249 [00:00<00:00, 378.08 it/sec, feas=True, obj=0.302]
INFO - 10:04:39: 3%|▎ | 7/249 [00:00<00:00, 375.96 it/sec, feas=True, obj=0.273]
INFO - 10:04:39: 3%|▎ | 8/249 [00:00<00:00, 374.96 it/sec, feas=True, obj=0.258]
INFO - 10:04:39: 4%|▎ | 9/249 [00:00<00:00, 374.37 it/sec, feas=True, obj=0.219]
INFO - 10:04:39: 4%|▍ | 10/249 [00:00<00:00, 372.73 it/sec, feas=True, obj=0.299]
INFO - 10:04:39: 4%|▍ | 11/249 [00:00<00:00, 371.95 it/sec, feas=True, obj=0.207]
INFO - 10:04:39: 5%|▍ | 12/249 [00:00<00:00, 371.34 it/sec, feas=True, obj=0.202]
INFO - 10:04:39: 5%|▌ | 13/249 [00:00<00:00, 371.28 it/sec, feas=True, obj=0.195]
INFO - 10:04:39: 6%|▌ | 14/249 [00:00<00:00, 369.40 it/sec, feas=True, obj=0.489]
INFO - 10:04:39: 6%|▌ | 15/249 [00:00<00:00, 368.83 it/sec, feas=True, obj=0.182]
INFO - 10:04:39: 6%|▋ | 16/249 [00:00<00:00, 368.68 it/sec, feas=True, obj=0.211]
INFO - 10:04:39: 7%|▋ | 17/249 [00:00<00:00, 368.71 it/sec, feas=True, obj=0.176]
INFO - 10:04:39: 7%|▋ | 18/249 [00:00<00:00, 368.29 it/sec, feas=True, obj=0.167]
INFO - 10:04:39: 8%|▊ | 19/249 [00:00<00:00, 368.08 it/sec, feas=True, obj=0.167]
INFO - 10:04:39: 8%|▊ | 20/249 [00:00<00:00, 367.97 it/sec, feas=True, obj=0.165]
INFO - 10:04:39: 8%|▊ | 21/249 [00:00<00:00, 368.06 it/sec, feas=True, obj=0.183]
INFO - 10:04:39: 9%|▉ | 22/249 [00:00<00:00, 367.80 it/sec, feas=True, obj=0.162]
INFO - 10:04:39: 9%|▉ | 23/249 [00:00<00:00, 367.53 it/sec, feas=True, obj=0.159]
INFO - 10:04:39: 10%|▉ | 24/249 [00:00<00:00, 367.28 it/sec, feas=True, obj=0.156]
INFO - 10:04:39: 10%|█ | 25/249 [00:00<00:00, 367.33 it/sec, feas=True, obj=0.155]
INFO - 10:04:39: 10%|█ | 26/249 [00:00<00:00, 361.92 it/sec, feas=True, obj=0.154]
INFO - 10:04:39: 11%|█ | 27/249 [00:00<00:00, 362.02 it/sec, feas=True, obj=0.154]
INFO - 10:04:39: 11%|█ | 28/249 [00:00<00:00, 362.12 it/sec, feas=True, obj=0.153]
INFO - 10:04:39: 12%|█▏ | 29/249 [00:00<00:00, 352.22 it/sec, feas=True, obj=0.153]
INFO - 10:04:39: 12%|█▏ | 30/249 [00:00<00:00, 352.59 it/sec, feas=True, obj=0.153]
INFO - 10:04:39: 12%|█▏ | 31/249 [00:00<00:00, 352.80 it/sec, feas=True, obj=0.153]
INFO - 10:04:39: 13%|█▎ | 32/249 [00:00<00:00, 352.00 it/sec, feas=True, obj=0.152]
INFO - 10:04:39: 13%|█▎ | 33/249 [00:00<00:00, 352.32 it/sec, feas=True, obj=0.157]
INFO - 10:04:39: 14%|█▎ | 34/249 [00:00<00:00, 352.16 it/sec, feas=True, obj=0.152]
INFO - 10:04:39: 14%|█▍ | 35/249 [00:00<00:00, 352.09 it/sec, feas=True, obj=0.156]
INFO - 10:04:39: 14%|█▍ | 36/249 [00:00<00:00, 351.84 it/sec, feas=True, obj=0.152]
INFO - 10:04:39: 15%|█▍ | 37/249 [00:00<00:00, 352.37 it/sec, feas=True, obj=0.156]
INFO - 10:04:39: 15%|█▌ | 38/249 [00:00<00:00, 352.53 it/sec, feas=True, obj=0.152]
INFO - 10:04:39: 16%|█▌ | 39/249 [00:00<00:00, 347.26 it/sec, feas=True, obj=0.156]
INFO - 10:04:39: 16%|█▌ | 40/249 [00:00<00:00, 347.68 it/sec, feas=True, obj=0.152]
INFO - 10:04:39: 16%|█▋ | 41/249 [00:00<00:00, 347.92 it/sec, feas=True, obj=0.152]
INFO - 10:04:39: 17%|█▋ | 42/249 [00:00<00:00, 348.22 it/sec, feas=True, obj=0.152]
INFO - 10:04:39: 17%|█▋ | 43/249 [00:00<00:00, 348.51 it/sec, feas=True, obj=0.152]
INFO - 10:04:39: 18%|█▊ | 44/249 [00:00<00:00, 349.04 it/sec, feas=True, obj=0.209]
INFO - 10:04:39: 18%|█▊ | 45/249 [00:00<00:00, 349.26 it/sec, feas=True, obj=0.152]
INFO - 10:04:39: 18%|█▊ | 46/249 [00:00<00:00, 349.42 it/sec, feas=True, obj=0.15]
INFO - 10:04:39: 19%|█▉ | 47/249 [00:00<00:00, 349.77 it/sec, feas=True, obj=0.149]
INFO - 10:04:39: 19%|█▉ | 48/249 [00:00<00:00, 350.10 it/sec, feas=True, obj=0.149]
INFO - 10:04:39: 20%|█▉ | 49/249 [00:00<00:00, 350.29 it/sec, feas=True, obj=0.148]
INFO - 10:04:39: 20%|██ | 50/249 [00:00<00:00, 350.44 it/sec, feas=True, obj=0.147]
INFO - 10:04:39: 20%|██ | 51/249 [00:00<00:00, 350.62 it/sec, feas=True, obj=0.146]
INFO - 10:04:39: 21%|██ | 52/249 [00:00<00:00, 350.90 it/sec, feas=True, obj=0.146]
INFO - 10:04:39: 21%|██▏ | 53/249 [00:00<00:00, 351.11 it/sec, feas=True, obj=0.146]
INFO - 10:04:39: 22%|██▏ | 54/249 [00:00<00:00, 351.35 it/sec, feas=True, obj=0.146]
INFO - 10:04:39: 22%|██▏ | 55/249 [00:00<00:00, 351.52 it/sec, feas=True, obj=0.145]
INFO - 10:04:39: 22%|██▏ | 56/249 [00:00<00:00, 351.65 it/sec, feas=True, obj=0.145]
INFO - 10:04:39: 23%|██▎ | 57/249 [00:00<00:00, 351.97 it/sec, feas=True, obj=0.145]
INFO - 10:04:39: 23%|██▎ | 58/249 [00:00<00:00, 352.10 it/sec, feas=True, obj=0.145]
INFO - 10:04:39: 24%|██▎ | 59/249 [00:00<00:00, 352.28 it/sec, feas=True, obj=0.144]
INFO - 10:04:39: 24%|██▍ | 60/249 [00:00<00:00, 348.13 it/sec, feas=True, obj=0.144]
INFO - 10:04:39: 24%|██▍ | 61/249 [00:00<00:00, 348.39 it/sec, feas=True, obj=0.386]
INFO - 10:04:39: 25%|██▍ | 62/249 [00:00<00:00, 348.44 it/sec, feas=True, obj=0.144]
INFO - 10:04:39: 25%|██▌ | 63/249 [00:00<00:00, 348.35 it/sec, feas=True, obj=0.157]
INFO - 10:04:39: 26%|██▌ | 64/249 [00:00<00:00, 348.16 it/sec, feas=True, obj=0.144]
INFO - 10:04:39: 26%|██▌ | 65/249 [00:00<00:00, 348.07 it/sec, feas=True, obj=0.157]
INFO - 10:04:39: 27%|██▋ | 66/249 [00:00<00:00, 347.88 it/sec, feas=True, obj=0.144]
INFO - 10:04:39: 27%|██▋ | 67/249 [00:00<00:00, 347.81 it/sec, feas=True, obj=0.157]
INFO - 10:04:39: 27%|██▋ | 68/249 [00:00<00:00, 347.70 it/sec, feas=True, obj=0.144]
INFO - 10:04:39: 28%|██▊ | 69/249 [00:00<00:00, 347.64 it/sec, feas=True, obj=0.157]
INFO - 10:04:39: 28%|██▊ | 70/249 [00:00<00:00, 347.74 it/sec, feas=True, obj=0.144]
INFO - 10:04:39: 29%|██▊ | 71/249 [00:00<00:00, 347.46 it/sec, feas=True, obj=0.157]
INFO - 10:04:39: 29%|██▉ | 72/249 [00:00<00:00, 347.70 it/sec, feas=True, obj=0.144]
INFO - 10:04:39: 29%|██▉ | 73/249 [00:00<00:00, 347.90 it/sec, feas=True, obj=0.157]
INFO - 10:04:39: 30%|██▉ | 74/249 [00:00<00:00, 348.05 it/sec, feas=True, obj=0.144]
INFO - 10:04:39: 30%|███ | 75/249 [00:00<00:00, 348.26 it/sec, feas=True, obj=0.157]
INFO - 10:04:39: 31%|███ | 76/249 [00:00<00:00, 348.46 it/sec, feas=True, obj=0.144]
INFO - 10:04:39: 31%|███ | 77/249 [00:00<00:00, 348.61 it/sec, feas=True, obj=0.144]
INFO - 10:04:39: 31%|███▏ | 78/249 [00:00<00:00, 348.67 it/sec, feas=True, obj=0.144]
INFO - 10:04:39: 32%|███▏ | 79/249 [00:00<00:00, 348.82 it/sec, feas=True, obj=0.144]
INFO - 10:04:39: 32%|███▏ | 80/249 [00:00<00:00, 345.88 it/sec, feas=True, obj=0.144]
INFO - 10:04:39: 33%|███▎ | 81/249 [00:00<00:00, 346.03 it/sec, feas=True, obj=0.144]
INFO - 10:04:39: 33%|███▎ | 82/249 [00:00<00:00, 346.15 it/sec, feas=True, obj=0.143]
INFO - 10:04:39: 33%|███▎ | 83/249 [00:00<00:00, 345.86 it/sec, feas=True, obj=0.146]
INFO - 10:04:39: 34%|███▎ | 84/249 [00:00<00:00, 345.66 it/sec, feas=True, obj=0.143]
INFO - 10:04:39: 34%|███▍ | 85/249 [00:00<00:00, 345.69 it/sec, feas=True, obj=0.144]
INFO - 10:04:39: 35%|███▍ | 86/249 [00:00<00:00, 345.57 it/sec, feas=True, obj=0.143]
INFO - 10:04:39: 35%|███▍ | 87/249 [00:00<00:00, 345.68 it/sec, feas=True, obj=0.143]
INFO - 10:04:39: 35%|███▌ | 88/249 [00:00<00:00, 345.84 it/sec, feas=True, obj=0.143]
INFO - 10:04:39: 36%|███▌ | 89/249 [00:00<00:00, 346.06 it/sec, feas=True, obj=0.143]
INFO - 10:04:39: 36%|███▌ | 90/249 [00:00<00:00, 345.66 it/sec, feas=True, obj=0.143]
INFO - 10:04:39: 37%|███▋ | 91/249 [00:00<00:00, 345.89 it/sec, feas=True, obj=0.15]
INFO - 10:04:39: 37%|███▋ | 92/249 [00:00<00:00, 345.39 it/sec, feas=True, obj=0.143]
INFO - 10:04:39: 37%|███▋ | 93/249 [00:00<00:00, 344.38 it/sec, feas=True, obj=0.142]
INFO - 10:04:39: 38%|███▊ | 94/249 [00:00<00:00, 344.26 it/sec, feas=True, obj=0.142]
INFO - 10:04:39: 38%|███▊ | 95/249 [00:00<00:00, 344.39 it/sec, feas=True, obj=0.142]
INFO - 10:04:39: 39%|███▊ | 96/249 [00:00<00:00, 341.19 it/sec, feas=True, obj=0.142]
INFO - 10:04:39: 39%|███▉ | 97/249 [00:00<00:00, 341.37 it/sec, feas=True, obj=0.161]
INFO - 10:04:39: 39%|███▉ | 98/249 [00:00<00:00, 341.03 it/sec, feas=True, obj=0.142]
INFO - 10:04:39: 40%|███▉ | 99/249 [00:00<00:00, 341.17 it/sec, feas=True, obj=0.142]
INFO - 10:04:39: 40%|████ | 100/249 [00:00<00:00, 338.65 it/sec, feas=True, obj=0.143]
INFO - 10:04:39: 41%|████ | 101/249 [00:00<00:00, 338.82 it/sec, feas=True, obj=0.142]
INFO - 10:04:39: 41%|████ | 102/249 [00:00<00:00, 338.99 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 41%|████▏ | 103/249 [00:00<00:00, 339.16 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 42%|████▏ | 104/249 [00:00<00:00, 339.36 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 42%|████▏ | 105/249 [00:00<00:00, 339.59 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 43%|████▎ | 106/249 [00:00<00:00, 339.84 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 43%|████▎ | 107/249 [00:00<00:00, 340.02 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 43%|████▎ | 108/249 [00:00<00:00, 340.22 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 44%|████▍ | 109/249 [00:00<00:00, 340.41 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 44%|████▍ | 110/249 [00:00<00:00, 340.60 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 45%|████▍ | 111/249 [00:00<00:00, 340.77 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 45%|████▍ | 112/249 [00:00<00:00, 340.98 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 45%|████▌ | 113/249 [00:00<00:00, 341.15 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 46%|████▌ | 114/249 [00:00<00:00, 341.39 it/sec, feas=True, obj=0.146]
INFO - 10:04:39: 46%|████▌ | 115/249 [00:00<00:00, 341.54 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 47%|████▋ | 116/249 [00:00<00:00, 341.69 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 47%|████▋ | 117/249 [00:00<00:00, 341.86 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 47%|████▋ | 118/249 [00:00<00:00, 342.05 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 48%|████▊ | 119/249 [00:00<00:00, 342.00 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 48%|████▊ | 120/249 [00:00<00:00, 342.20 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 49%|████▊ | 121/249 [00:00<00:00, 342.37 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 49%|████▉ | 122/249 [00:00<00:00, 342.51 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 49%|████▉ | 123/249 [00:00<00:00, 342.62 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 50%|████▉ | 124/249 [00:00<00:00, 342.70 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 50%|█████ | 125/249 [00:00<00:00, 342.82 it/sec, feas=True, obj=0.574]
INFO - 10:04:39: 51%|█████ | 126/249 [00:00<00:00, 342.97 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 51%|█████ | 127/249 [00:00<00:00, 343.12 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 51%|█████▏ | 128/249 [00:00<00:00, 343.25 it/sec, feas=True, obj=0.204]
INFO - 10:04:39: 52%|█████▏ | 129/249 [00:00<00:00, 343.33 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 52%|█████▏ | 130/249 [00:00<00:00, 343.44 it/sec, feas=True, obj=0.144]
INFO - 10:04:39: 53%|█████▎ | 131/249 [00:00<00:00, 343.55 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 53%|█████▎ | 132/249 [00:00<00:00, 343.67 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 53%|█████▎ | 133/249 [00:00<00:00, 343.75 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 54%|█████▍ | 134/249 [00:00<00:00, 343.79 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 54%|█████▍ | 135/249 [00:00<00:00, 343.75 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 55%|█████▍ | 136/249 [00:00<00:00, 343.73 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 55%|█████▌ | 137/249 [00:00<00:00, 343.81 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 55%|█████▌ | 138/249 [00:00<00:00, 343.78 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 56%|█████▌ | 139/249 [00:00<00:00, 343.85 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 56%|█████▌ | 140/249 [00:00<00:00, 343.97 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 57%|█████▋ | 141/249 [00:00<00:00, 344.08 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 57%|█████▋ | 142/249 [00:00<00:00, 344.16 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 57%|█████▋ | 143/249 [00:00<00:00, 344.27 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 58%|█████▊ | 144/249 [00:00<00:00, 344.40 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 58%|█████▊ | 145/249 [00:00<00:00, 344.47 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 59%|█████▊ | 146/249 [00:00<00:00, 344.42 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 59%|█████▉ | 147/249 [00:00<00:00, 344.38 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 59%|█████▉ | 148/249 [00:00<00:00, 344.33 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 60%|█████▉ | 149/249 [00:00<00:00, 344.19 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 60%|██████ | 150/249 [00:00<00:00, 344.18 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 61%|██████ | 151/249 [00:00<00:00, 344.12 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 61%|██████ | 152/249 [00:00<00:00, 344.07 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 61%|██████▏ | 153/249 [00:00<00:00, 344.02 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 62%|██████▏ | 154/249 [00:00<00:00, 343.97 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 62%|██████▏ | 155/249 [00:00<00:00, 343.81 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 63%|██████▎ | 156/249 [00:00<00:00, 343.77 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 63%|██████▎ | 157/249 [00:00<00:00, 343.75 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 63%|██████▎ | 158/249 [00:00<00:00, 343.66 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 64%|██████▍ | 159/249 [00:00<00:00, 343.63 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 64%|██████▍ | 160/249 [00:00<00:00, 343.67 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 65%|██████▍ | 161/249 [00:00<00:00, 343.50 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 65%|██████▌ | 162/249 [00:00<00:00, 343.53 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 65%|██████▌ | 163/249 [00:00<00:00, 343.54 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 66%|██████▌ | 164/249 [00:00<00:00, 343.46 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 66%|██████▋ | 165/249 [00:00<00:00, 343.50 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 67%|██████▋ | 166/249 [00:00<00:00, 343.59 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 67%|██████▋ | 167/249 [00:00<00:00, 343.65 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 67%|██████▋ | 168/249 [00:00<00:00, 343.62 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 68%|██████▊ | 169/249 [00:00<00:00, 343.61 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 68%|██████▊ | 170/249 [00:00<00:00, 343.58 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 69%|██████▊ | 171/249 [00:00<00:00, 343.41 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 69%|██████▉ | 172/249 [00:00<00:00, 343.40 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 69%|██████▉ | 173/249 [00:00<00:00, 343.36 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 70%|██████▉ | 174/249 [00:00<00:00, 343.19 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 70%|███████ | 175/249 [00:00<00:00, 343.19 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 71%|███████ | 176/249 [00:00<00:00, 343.16 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 71%|███████ | 177/249 [00:00<00:00, 343.00 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 71%|███████▏ | 178/249 [00:00<00:00, 343.02 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 72%|███████▏ | 179/249 [00:00<00:00, 342.85 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 72%|███████▏ | 180/249 [00:00<00:00, 342.83 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 73%|███████▎ | 181/249 [00:00<00:00, 342.83 it/sec, feas=True, obj=0.17]
INFO - 10:04:39: 73%|███████▎ | 182/249 [00:00<00:00, 342.72 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 73%|███████▎ | 183/249 [00:00<00:00, 342.71 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 74%|███████▍ | 184/249 [00:00<00:00, 342.74 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 74%|███████▍ | 185/249 [00:00<00:00, 342.68 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 75%|███████▍ | 186/249 [00:00<00:00, 342.65 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 75%|███████▌ | 187/249 [00:00<00:00, 342.62 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 76%|███████▌ | 188/249 [00:00<00:00, 342.61 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 76%|███████▌ | 189/249 [00:00<00:00, 342.69 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 76%|███████▋ | 190/249 [00:00<00:00, 341.54 it/sec, feas=True, obj=0.155]
INFO - 10:04:39: 77%|███████▋ | 191/249 [00:00<00:00, 341.63 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 77%|███████▋ | 192/249 [00:00<00:00, 341.67 it/sec, feas=True, obj=0.15]
INFO - 10:04:39: 78%|███████▊ | 193/249 [00:00<00:00, 341.73 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 78%|███████▊ | 194/249 [00:00<00:00, 341.85 it/sec, feas=True, obj=0.157]
INFO - 10:04:39: 78%|███████▊ | 195/249 [00:00<00:00, 341.99 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 79%|███████▊ | 196/249 [00:00<00:00, 342.09 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 79%|███████▉ | 197/249 [00:00<00:00, 342.21 it/sec, feas=True, obj=3.06]
INFO - 10:04:39: 80%|███████▉ | 198/249 [00:00<00:00, 342.33 it/sec, feas=True, obj=0.143]
INFO - 10:04:39: 80%|███████▉ | 199/249 [00:00<00:00, 342.46 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 80%|████████ | 200/249 [00:00<00:00, 342.57 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 81%|████████ | 201/249 [00:00<00:00, 342.53 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 81%|████████ | 202/249 [00:00<00:00, 342.61 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 82%|████████▏ | 203/249 [00:00<00:00, 342.71 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 82%|████████▏ | 204/249 [00:00<00:00, 342.81 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 82%|████████▏ | 205/249 [00:00<00:00, 342.91 it/sec, feas=True, obj=3.3]
INFO - 10:04:39: 83%|████████▎ | 206/249 [00:00<00:00, 343.00 it/sec, feas=True, obj=0.145]
INFO - 10:04:39: 83%|████████▎ | 207/249 [00:00<00:00, 343.08 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 84%|████████▎ | 208/249 [00:00<00:00, 343.18 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 84%|████████▍ | 209/249 [00:00<00:00, 343.23 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 84%|████████▍ | 210/249 [00:00<00:00, 343.30 it/sec, feas=True, obj=0.149]
INFO - 10:04:39: 85%|████████▍ | 211/249 [00:00<00:00, 343.36 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 85%|████████▌ | 212/249 [00:00<00:00, 343.44 it/sec, feas=True, obj=0.146]
INFO - 10:04:39: 86%|████████▌ | 213/249 [00:00<00:00, 343.52 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 86%|████████▌ | 214/249 [00:00<00:00, 343.58 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 86%|████████▋ | 215/249 [00:00<00:00, 343.64 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 87%|████████▋ | 216/249 [00:00<00:00, 343.70 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 87%|████████▋ | 217/249 [00:00<00:00, 343.76 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 88%|████████▊ | 218/249 [00:00<00:00, 343.84 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 88%|████████▊ | 219/249 [00:00<00:00, 343.89 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 88%|████████▊ | 220/249 [00:00<00:00, 343.76 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 89%|████████▉ | 221/249 [00:00<00:00, 343.80 it/sec, feas=True, obj=0.141]
INFO - 10:04:39: 89%|████████▉ | 222/249 [00:00<00:00, 343.82 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 90%|████████▉ | 223/249 [00:00<00:00, 343.86 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 90%|████████▉ | 224/249 [00:00<00:00, 343.90 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 90%|█████████ | 225/249 [00:00<00:00, 344.00 it/sec, feas=True, obj=0.139]
INFO - 10:04:39: 91%|█████████ | 226/249 [00:00<00:00, 344.04 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 91%|█████████ | 227/249 [00:00<00:00, 344.08 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 92%|█████████▏| 228/249 [00:00<00:00, 344.11 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 92%|█████████▏| 229/249 [00:00<00:00, 344.15 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 92%|█████████▏| 230/249 [00:00<00:00, 344.23 it/sec, feas=True, obj=0.14]
INFO - 10:04:39: 93%|█████████▎| 231/249 [00:00<00:00, 344.27 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 93%|█████████▎| 232/249 [00:00<00:00, 344.29 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 94%|█████████▎| 233/249 [00:00<00:00, 344.32 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 94%|█████████▍| 234/249 [00:00<00:00, 344.34 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 94%|█████████▍| 235/249 [00:00<00:00, 344.27 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 95%|█████████▍| 236/249 [00:00<00:00, 344.24 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 95%|█████████▌| 237/249 [00:00<00:00, 344.28 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 96%|█████████▌| 238/249 [00:00<00:00, 344.23 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 96%|█████████▌| 239/249 [00:00<00:00, 344.18 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 96%|█████████▋| 240/249 [00:00<00:00, 344.13 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 97%|█████████▋| 241/249 [00:00<00:00, 344.11 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 97%|█████████▋| 242/249 [00:00<00:00, 344.18 it/sec, feas=True, obj=0.138]
INFO - 10:04:39: 98%|█████████▊| 243/249 [00:00<00:00, 344.23 it/sec, feas=True, obj=0.138]
INFO - 10:04:40: 98%|█████████▊| 244/249 [00:00<00:00, 344.25 it/sec, feas=True, obj=0.138]
INFO - 10:04:40: 98%|█████████▊| 245/249 [00:00<00:00, 344.26 it/sec, feas=True, obj=0.147]
INFO - 10:04:40: 99%|█████████▉| 246/249 [00:00<00:00, 344.29 it/sec, feas=True, obj=0.138]
INFO - 10:04:40: 99%|█████████▉| 247/249 [00:00<00:00, 344.32 it/sec, feas=True, obj=0.138]
INFO - 10:04:40: 100%|█████████▉| 248/249 [00:00<00:00, 344.31 it/sec, feas=True, obj=0.138]
INFO - 10:04:40: 100%|██████████| 249/249 [00:00<00:00, 344.38 it/sec, feas=True, obj=0.15]
INFO - 10:04:40: Optimization result:
INFO - 10:04:40: Optimizer info:
INFO - 10:04:40: Status: None
INFO - 10:04:40: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 10:04:40: Solution:
INFO - 10:04:40: Objective: 0.13753484746531475
INFO - 10:04:40: Design space:
INFO - 10:04:40: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:40: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:40: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:40: | left_asymptote | 0 | 0 | 0.005013383816827143 | float |
INFO - 10:04:40: | capacity | 0.001428869758313996 | 0.04307717942646756 | 0.05013383816827143 | float |
INFO - 10:04:40: | growth_rate | 0.0001220219568980951 | 0.0002319466588337064 | 0.001098197612082856 | float |
INFO - 10:04:40: | x_lag | 0 | 1370.609542506297 | 13200.55816618789 | float |
INFO - 10:04:40: | logistic_nu | 0.1 | 0.4077265901280219 | 10 | float |
INFO - 10:04:40: | asymptote_coeff | 0.1 | 2.435874500533643 | 10 | float |
INFO - 10:04:40: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:40: Optimization result:
INFO - 10:04:40: Optimizer info:
INFO - 10:04:40: Status: None
INFO - 10:04:40: Message: None
INFO - 10:04:40: Solution:
INFO - 10:04:40: Objective: 0.13731127669094048
INFO - 10:04:40: Design space:
INFO - 10:04:40: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:40: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:40: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:40: | left_asymptote | 0 | 0 | 0.005013383816827143 | float |
INFO - 10:04:40: | capacity | 0.001428869758313996 | 0.05013383816827143 | 0.05013383816827143 | float |
INFO - 10:04:40: | growth_rate | 0.0001220219568980951 | 0.0002321679438341142 | 0.001098197612082856 | float |
INFO - 10:04:40: | x_lag | 0 | 0 | 13200.55816618789 | float |
INFO - 10:04:40: | logistic_nu | 0.1 | 0.3368271833053553 | 10 | float |
INFO - 10:04:40: | asymptote_coeff | 0.1 | 2.196550660042016 | 10 | float |
INFO - 10:04:40: +-----------------+-----------------------+-----------------------+----------------------+-------+
INFO - 10:04:40: *** End MDOScenario execution ***
BRA {'left_asymptote': array([0.]), 'capacity': array([0.05013384]), 'growth_rate': array([0.00023217]), 'x_lag': array([0.]), 'logistic_nu': array([0.33682718]), 'asymptote_coeff': array([2.19655066])}
INFO - 10:04:40: *** Start MDOScenario execution ***
INFO - 10:04:40: MDOScenario
INFO - 10:04:40: Disciplines: JAXChain
INFO - 10:04:40: MDO formulation: DisciplinaryOpt
INFO - 10:04:40: Optimization problem:
INFO - 10:04:40: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:40: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:40: over the design space:
INFO - 10:04:40: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:40: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:40: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:40: | left_asymptote | 0 | 2.354639862275782e-05 | 0.003526030637650995 | float |
INFO - 10:04:40: | capacity | 2.354639862275782e-05 | 0.003526030637650995 | 0.03526030637650995 | float |
INFO - 10:04:40: | growth_rate | 5.485438714492993e-05 | 0.0002742719357246497 | 0.0004936894843043693 | float |
INFO - 10:04:40: | x_lag | 0 | 5071.930103018651 | 10143.8602060373 | float |
INFO - 10:04:40: | logistic_nu | 0.1 | 1 | 10 | float |
INFO - 10:04:40: | asymptote_coeff | 0.1 | 1 | 10 | float |
INFO - 10:04:40: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:40: Solving optimization problem with algorithm MultiStart:
INFO - 10:04:40: Optimization problem:
INFO - 10:04:40: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:40: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:40: over the design space:
INFO - 10:04:40: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:40: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:40: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:40: | left_asymptote | 0 | 0.002010412992030342 | 0.003526030637650995 | float |
INFO - 10:04:40: | capacity | 2.354639862275782e-05 | 0.01620836930585978 | 0.03526030637650995 | float |
INFO - 10:04:40: | growth_rate | 5.485438714492993e-05 | 8.589551970222885e-05 | 0.0004936894843043693 | float |
INFO - 10:04:40: | x_lag | 0 | 9036.436210862328 | 10143.8602060373 | float |
INFO - 10:04:40: | logistic_nu | 0.1 | 7.368669008241702 | 10 | float |
INFO - 10:04:40: | asymptote_coeff | 0.1 | 7.989486619901931 | 10 | float |
INFO - 10:04:40: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:40: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:40: 1%| | 2/250 [00:00<00:24, 10.24 it/sec, feas=True, obj=1]
INFO - 10:04:40: 1%| | 3/250 [00:00<00:16, 15.20 it/sec, feas=True, obj=0.818]
INFO - 10:04:40: 2%|▏ | 4/250 [00:00<00:12, 20.03 it/sec, feas=True, obj=1.33]
INFO - 10:04:40: 2%|▏ | 5/250 [00:00<00:09, 24.75 it/sec, feas=True, obj=0.751]
INFO - 10:04:40: 2%|▏ | 6/250 [00:00<00:08, 29.36 it/sec, feas=True, obj=1.14]
INFO - 10:04:40: 3%|▎ | 7/250 [00:00<00:07, 33.85 it/sec, feas=True, obj=0.735]
INFO - 10:04:40: 3%|▎ | 8/250 [00:00<00:06, 38.09 it/sec, feas=True, obj=0.725]
INFO - 10:04:40: 4%|▎ | 9/250 [00:00<00:05, 42.27 it/sec, feas=True, obj=0.705]
INFO - 10:04:40: 4%|▍ | 10/250 [00:00<00:05, 46.34 it/sec, feas=True, obj=0.683]
INFO - 10:04:40: 4%|▍ | 11/250 [00:00<00:04, 50.30 it/sec, feas=True, obj=0.678]
INFO - 10:04:40: 5%|▍ | 12/250 [00:00<00:04, 54.15 it/sec, feas=True, obj=1]
INFO - 10:04:40: 5%|▌ | 13/250 [00:00<00:04, 57.90 it/sec, feas=True, obj=0.649]
INFO - 10:04:40: 6%|▌ | 14/250 [00:00<00:03, 61.59 it/sec, feas=True, obj=0.383]
INFO - 10:04:40: 6%|▌ | 15/250 [00:00<00:03, 65.19 it/sec, feas=True, obj=4.53]
INFO - 10:04:40: 6%|▋ | 16/250 [00:00<00:03, 68.69 it/sec, feas=True, obj=0.229]
INFO - 10:04:40: 7%|▋ | 17/250 [00:00<00:03, 72.10 it/sec, feas=True, obj=0.268]
INFO - 10:04:40: 7%|▋ | 18/250 [00:00<00:03, 75.05 it/sec, feas=True, obj=0.217]
INFO - 10:04:40: 8%|▊ | 19/250 [00:00<00:02, 78.31 it/sec, feas=True, obj=0.211]
INFO - 10:04:40: 8%|▊ | 20/250 [00:00<00:02, 81.46 it/sec, feas=True, obj=0.182]
INFO - 10:04:40: 8%|▊ | 21/250 [00:00<00:02, 84.53 it/sec, feas=True, obj=0.182]
INFO - 10:04:40: 9%|▉ | 22/250 [00:00<00:02, 87.57 it/sec, feas=True, obj=0.181]
INFO - 10:04:40: 9%|▉ | 23/250 [00:00<00:02, 90.50 it/sec, feas=True, obj=0.18]
INFO - 10:04:40: 10%|▉ | 24/250 [00:00<00:02, 93.39 it/sec, feas=True, obj=0.179]
INFO - 10:04:40: 10%|█ | 25/250 [00:00<00:02, 96.23 it/sec, feas=True, obj=0.182]
INFO - 10:04:40: 10%|█ | 26/250 [00:00<00:02, 98.97 it/sec, feas=True, obj=0.178]
INFO - 10:04:40: 11%|█ | 27/250 [00:00<00:02, 101.65 it/sec, feas=True, obj=0.177]
INFO - 10:04:40: 11%|█ | 28/250 [00:00<00:02, 104.35 it/sec, feas=True, obj=0.176]
INFO - 10:04:40: 12%|█▏ | 29/250 [00:00<00:02, 106.90 it/sec, feas=True, obj=0.176]
INFO - 10:04:40: 12%|█▏ | 30/250 [00:00<00:02, 109.42 it/sec, feas=True, obj=0.188]
INFO - 10:04:40: 12%|█▏ | 31/250 [00:00<00:01, 111.92 it/sec, feas=True, obj=0.176]
INFO - 10:04:40: 13%|█▎ | 32/250 [00:00<00:01, 114.35 it/sec, feas=True, obj=0.189]
INFO - 10:04:40: 13%|█▎ | 33/250 [00:00<00:01, 116.70 it/sec, feas=True, obj=0.176]
INFO - 10:04:40: 14%|█▎ | 34/250 [00:00<00:01, 119.08 it/sec, feas=True, obj=0.189]
INFO - 10:04:40: 14%|█▍ | 35/250 [00:00<00:01, 121.41 it/sec, feas=True, obj=0.176]
INFO - 10:04:40: 14%|█▍ | 36/250 [00:00<00:01, 123.64 it/sec, feas=True, obj=0.176]
INFO - 10:04:40: 15%|█▍ | 37/250 [00:00<00:01, 125.83 it/sec, feas=True, obj=0.176]
INFO - 10:04:40: 15%|█▌ | 38/250 [00:00<00:01, 127.98 it/sec, feas=True, obj=0.176]
INFO - 10:04:40: 16%|█▌ | 39/250 [00:00<00:01, 130.04 it/sec, feas=True, obj=0.176]
INFO - 10:04:40: 16%|█▌ | 40/250 [00:00<00:01, 132.10 it/sec, feas=True, obj=0.175]
INFO - 10:04:40: 16%|█▋ | 41/250 [00:00<00:01, 134.17 it/sec, feas=True, obj=0.206]
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INFO - 10:04:40: 18%|█▊ | 45/250 [00:00<00:01, 141.98 it/sec, feas=True, obj=0.186]
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INFO - 10:04:40: 21%|██ | 53/250 [00:00<00:01, 155.74 it/sec, feas=True, obj=3.2e+10]
INFO - 10:04:40: 22%|██▏ | 54/250 [00:00<00:01, 157.34 it/sec, feas=True, obj=0.203]
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INFO - 10:04:40: 25%|██▍ | 62/250 [00:00<00:01, 168.29 it/sec, feas=True, obj=0.204]
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INFO - 10:04:40: 26%|██▌ | 64/250 [00:00<00:01, 170.74 it/sec, feas=True, obj=0.204]
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INFO - 10:04:40: 28%|██▊ | 69/250 [00:00<00:01, 176.68 it/sec, feas=True, obj=0.171]
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INFO - 10:04:40: 28%|██▊ | 71/250 [00:00<00:00, 179.16 it/sec, feas=True, obj=0.171]
INFO - 10:04:40: 29%|██▉ | 72/250 [00:00<00:00, 180.44 it/sec, feas=True, obj=0.204]
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INFO - 10:04:40: 30%|███ | 76/250 [00:00<00:00, 184.29 it/sec, feas=True, obj=3.2e+10]
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INFO - 10:04:40: 31%|███ | 78/250 [00:00<00:00, 186.53 it/sec, feas=True, obj=0.171]
INFO - 10:04:40: 32%|███▏ | 79/250 [00:00<00:00, 187.62 it/sec, feas=True, obj=3.2e+10]
INFO - 10:04:40: 32%|███▏ | 80/250 [00:00<00:00, 188.69 it/sec, feas=True, obj=0.204]
INFO - 10:04:40: 32%|███▏ | 81/250 [00:00<00:00, 189.73 it/sec, feas=True, obj=0.171]
INFO - 10:04:40: 33%|███▎ | 82/250 [00:00<00:00, 190.82 it/sec, feas=True, obj=3.2e+10]
INFO - 10:04:40: 33%|███▎ | 83/250 [00:00<00:00, 191.86 it/sec, feas=True, obj=0.204]
INFO - 10:04:40: 34%|███▎ | 84/250 [00:00<00:00, 192.96 it/sec, feas=True, obj=0.171]
INFO - 10:04:40: 34%|███▍ | 85/250 [00:00<00:00, 194.02 it/sec, feas=True, obj=3.2e+10]
INFO - 10:04:40: 34%|███▍ | 86/250 [00:00<00:00, 195.02 it/sec, feas=True, obj=0.204]
INFO - 10:04:40: 35%|███▍ | 87/250 [00:00<00:00, 195.97 it/sec, feas=True, obj=0.171]
INFO - 10:04:40: 35%|███▌ | 88/250 [00:00<00:00, 196.95 it/sec, feas=True, obj=3.2e+10]
INFO - 10:04:40: 36%|███▌ | 89/250 [00:00<00:00, 197.96 it/sec, feas=True, obj=0.204]
INFO - 10:04:40: 36%|███▌ | 90/250 [00:00<00:00, 198.98 it/sec, feas=True, obj=0.171]
INFO - 10:04:40: 36%|███▋ | 91/250 [00:00<00:00, 199.91 it/sec, feas=True, obj=3.2e+10]
INFO - 10:04:40: 37%|███▋ | 92/250 [00:00<00:00, 200.90 it/sec, feas=True, obj=0.204]
INFO - 10:04:40: 37%|███▋ | 93/250 [00:00<00:00, 201.84 it/sec, feas=True, obj=0.171]
INFO - 10:04:40: 38%|███▊ | 94/250 [00:00<00:00, 202.81 it/sec, feas=True, obj=3.2e+10]
INFO - 10:04:40: 38%|███▊ | 95/250 [00:00<00:00, 203.78 it/sec, feas=True, obj=0.204]
INFO - 10:04:40: 38%|███▊ | 96/250 [00:00<00:00, 204.69 it/sec, feas=True, obj=0.171]
INFO - 10:04:40: 39%|███▉ | 97/250 [00:00<00:00, 205.61 it/sec, feas=True, obj=1.07e+4]
INFO - 10:04:40: 39%|███▉ | 98/250 [00:00<00:00, 206.55 it/sec, feas=True, obj=0.189]
INFO - 10:04:40: 40%|███▉ | 99/250 [00:00<00:00, 207.48 it/sec, feas=True, obj=0.17]
INFO - 10:04:40: 40%|████ | 100/250 [00:00<00:00, 208.38 it/sec, feas=True, obj=0.17]
INFO - 10:04:40: 40%|████ | 101/250 [00:00<00:00, 209.25 it/sec, feas=True, obj=0.17]
INFO - 10:04:40: 41%|████ | 102/250 [00:00<00:00, 210.16 it/sec, feas=True, obj=2.49e+4]
INFO - 10:04:40: 41%|████ | 103/250 [00:00<00:00, 211.03 it/sec, feas=True, obj=0.227]
INFO - 10:04:40: 42%|████▏ | 104/250 [00:00<00:00, 211.86 it/sec, feas=True, obj=0.17]
INFO - 10:04:40: 42%|████▏ | 105/250 [00:00<00:00, 212.71 it/sec, feas=True, obj=0.168]
INFO - 10:04:40: 42%|████▏ | 106/250 [00:00<00:00, 213.57 it/sec, feas=True, obj=0.169]
INFO - 10:04:40: 43%|████▎ | 107/250 [00:00<00:00, 214.38 it/sec, feas=True, obj=0.167]
INFO - 10:04:40: 43%|████▎ | 108/250 [00:00<00:00, 215.20 it/sec, feas=True, obj=3.64]
INFO - 10:04:40: 44%|████▎ | 109/250 [00:00<00:00, 216.02 it/sec, feas=True, obj=0.174]
INFO - 10:04:40: 44%|████▍ | 110/250 [00:00<00:00, 216.83 it/sec, feas=True, obj=0.167]
INFO - 10:04:40: 44%|████▍ | 111/250 [00:00<00:00, 217.57 it/sec, feas=True, obj=0.174]
INFO - 10:04:40: 45%|████▍ | 112/250 [00:00<00:00, 218.29 it/sec, feas=True, obj=0.166]
INFO - 10:04:40: 45%|████▌ | 113/250 [00:00<00:00, 219.01 it/sec, feas=True, obj=0.188]
INFO - 10:04:40: 46%|████▌ | 114/250 [00:00<00:00, 219.72 it/sec, feas=True, obj=0.166]
INFO - 10:04:40: 46%|████▌ | 115/250 [00:00<00:00, 220.48 it/sec, feas=True, obj=0.166]
INFO - 10:04:40: 46%|████▋ | 116/250 [00:00<00:00, 221.27 it/sec, feas=True, obj=0.166]
INFO - 10:04:40: 47%|████▋ | 117/250 [00:00<00:00, 221.38 it/sec, feas=True, obj=0.166]
INFO - 10:04:40: 47%|████▋ | 118/250 [00:00<00:00, 222.10 it/sec, feas=True, obj=0.165]
INFO - 10:04:40: 48%|████▊ | 119/250 [00:00<00:00, 222.78 it/sec, feas=True, obj=0.229]
INFO - 10:04:40: 48%|████▊ | 120/250 [00:00<00:00, 223.44 it/sec, feas=True, obj=0.165]
INFO - 10:04:40: 48%|████▊ | 121/250 [00:00<00:00, 224.13 it/sec, feas=True, obj=0.165]
INFO - 10:04:40: 49%|████▉ | 122/250 [00:00<00:00, 224.78 it/sec, feas=True, obj=0.165]
INFO - 10:04:40: 49%|████▉ | 123/250 [00:00<00:00, 225.43 it/sec, feas=True, obj=0.165]
INFO - 10:04:40: 50%|████▉ | 124/250 [00:00<00:00, 226.14 it/sec, feas=True, obj=0.165]
INFO - 10:04:40: 50%|█████ | 125/250 [00:00<00:00, 226.81 it/sec, feas=True, obj=0.165]
INFO - 10:04:40: 50%|█████ | 126/250 [00:00<00:00, 227.42 it/sec, feas=True, obj=0.165]
INFO - 10:04:40: 51%|█████ | 127/250 [00:00<00:00, 228.03 it/sec, feas=True, obj=0.165]
INFO - 10:04:40: 51%|█████ | 128/250 [00:00<00:00, 228.62 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 52%|█████▏ | 129/250 [00:00<00:00, 229.26 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 52%|█████▏ | 130/250 [00:00<00:00, 229.95 it/sec, feas=True, obj=0.224]
INFO - 10:04:40: 52%|█████▏ | 131/250 [00:00<00:00, 230.55 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 53%|█████▎ | 132/250 [00:00<00:00, 231.09 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 53%|█████▎ | 133/250 [00:00<00:00, 231.67 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 54%|█████▎ | 134/250 [00:00<00:00, 232.23 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 54%|█████▍ | 135/250 [00:00<00:00, 232.76 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 54%|█████▍ | 136/250 [00:00<00:00, 233.37 it/sec, feas=True, obj=0.165]
INFO - 10:04:40: 55%|█████▍ | 137/250 [00:00<00:00, 233.94 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 55%|█████▌ | 138/250 [00:00<00:00, 234.56 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 56%|█████▌ | 139/250 [00:00<00:00, 235.15 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 56%|█████▌ | 140/250 [00:00<00:00, 235.75 it/sec, feas=True, obj=0.165]
INFO - 10:04:40: 56%|█████▋ | 141/250 [00:00<00:00, 236.35 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 57%|█████▋ | 142/250 [00:00<00:00, 236.94 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 57%|█████▋ | 143/250 [00:00<00:00, 237.51 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 58%|█████▊ | 144/250 [00:00<00:00, 238.08 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 58%|█████▊ | 145/250 [00:00<00:00, 238.66 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 58%|█████▊ | 146/250 [00:00<00:00, 238.75 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 59%|█████▉ | 147/250 [00:00<00:00, 238.45 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 59%|█████▉ | 148/250 [00:00<00:00, 238.94 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 60%|█████▉ | 149/250 [00:00<00:00, 239.43 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 60%|██████ | 150/250 [00:00<00:00, 239.91 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 60%|██████ | 151/250 [00:00<00:00, 240.38 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 61%|██████ | 152/250 [00:00<00:00, 240.86 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 61%|██████ | 153/250 [00:00<00:00, 241.30 it/sec, feas=True, obj=0.164]
INFO - 10:04:40: 62%|██████▏ | 154/250 [00:00<00:00, 241.76 it/sec, feas=True, obj=0.163]
INFO - 10:04:40: 62%|██████▏ | 155/250 [00:00<00:00, 242.21 it/sec, feas=True, obj=0.163]
INFO - 10:04:40: 62%|██████▏ | 156/250 [00:00<00:00, 242.67 it/sec, feas=True, obj=0.163]
INFO - 10:04:40: 63%|██████▎ | 157/250 [00:00<00:00, 243.19 it/sec, feas=True, obj=0.173]
INFO - 10:04:40: 63%|██████▎ | 158/250 [00:00<00:00, 243.70 it/sec, feas=True, obj=0.163]
INFO - 10:04:40: 64%|██████▎ | 159/250 [00:00<00:00, 243.31 it/sec, feas=True, obj=0.163]
INFO - 10:04:40: 64%|██████▍ | 160/250 [00:00<00:00, 243.75 it/sec, feas=True, obj=0.163]
INFO - 10:04:40: 64%|██████▍ | 161/250 [00:00<00:00, 244.20 it/sec, feas=True, obj=0.163]
INFO - 10:04:40: 65%|██████▍ | 162/250 [00:00<00:00, 244.62 it/sec, feas=True, obj=0.163]
INFO - 10:04:40: 65%|██████▌ | 163/250 [00:00<00:00, 245.03 it/sec, feas=True, obj=0.163]
INFO - 10:04:40: 66%|██████▌ | 164/250 [00:00<00:00, 245.45 it/sec, feas=True, obj=0.163]
INFO - 10:04:40: 66%|██████▌ | 165/250 [00:00<00:00, 245.85 it/sec, feas=True, obj=0.162]
INFO - 10:04:40: 66%|██████▋ | 166/250 [00:00<00:00, 246.25 it/sec, feas=True, obj=0.159]
INFO - 10:04:40: 67%|██████▋ | 167/250 [00:00<00:00, 246.68 it/sec, feas=True, obj=0.18]
INFO - 10:04:40: 67%|██████▋ | 168/250 [00:00<00:00, 247.10 it/sec, feas=True, obj=0.156]
INFO - 10:04:40: 68%|██████▊ | 169/250 [00:00<00:00, 247.52 it/sec, feas=True, obj=0.605]
INFO - 10:04:40: 68%|██████▊ | 170/250 [00:00<00:00, 247.95 it/sec, feas=True, obj=0.156]
INFO - 10:04:40: 68%|██████▊ | 171/250 [00:00<00:00, 248.44 it/sec, feas=True, obj=0.235]
INFO - 10:04:40: 69%|██████▉ | 172/250 [00:00<00:00, 248.83 it/sec, feas=True, obj=0.155]
INFO - 10:04:40: 69%|██████▉ | 173/250 [00:00<00:00, 249.24 it/sec, feas=True, obj=0.158]
INFO - 10:04:40: 70%|██████▉ | 174/250 [00:00<00:00, 249.64 it/sec, feas=True, obj=0.155]
INFO - 10:04:40: 70%|███████ | 175/250 [00:00<00:00, 250.01 it/sec, feas=True, obj=0.154]
INFO - 10:04:40: 70%|███████ | 176/250 [00:00<00:00, 250.42 it/sec, feas=True, obj=0.154]
INFO - 10:04:40: 71%|███████ | 177/250 [00:00<00:00, 250.80 it/sec, feas=True, obj=0.154]
INFO - 10:04:40: 71%|███████ | 178/250 [00:00<00:00, 251.24 it/sec, feas=True, obj=0.153]
INFO - 10:04:40: 72%|███████▏ | 179/250 [00:00<00:00, 251.69 it/sec, feas=True, obj=0.153]
INFO - 10:04:40: 72%|███████▏ | 180/250 [00:00<00:00, 252.13 it/sec, feas=True, obj=0.257]
INFO - 10:04:40: 72%|███████▏ | 181/250 [00:00<00:00, 252.56 it/sec, feas=True, obj=0.153]
INFO - 10:04:40: 73%|███████▎ | 182/250 [00:00<00:00, 252.26 it/sec, feas=True, obj=0.153]
INFO - 10:04:40: 73%|███████▎ | 183/250 [00:00<00:00, 252.67 it/sec, feas=True, obj=0.153]
INFO - 10:04:40: 74%|███████▎ | 184/250 [00:00<00:00, 253.03 it/sec, feas=True, obj=0.153]
INFO - 10:04:40: 74%|███████▍ | 185/250 [00:00<00:00, 253.38 it/sec, feas=True, obj=0.153]
INFO - 10:04:40: 74%|███████▍ | 186/250 [00:00<00:00, 253.59 it/sec, feas=True, obj=0.153]
INFO - 10:04:40: Optimization result:
INFO - 10:04:40: Optimizer info:
INFO - 10:04:40: Status: None
INFO - 10:04:40: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:40: Solution:
INFO - 10:04:40: Objective: 0.15302499528801794
INFO - 10:04:40: Design space:
INFO - 10:04:40: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:40: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:40: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:40: | left_asymptote | 0 | 0 | 0.003526030637650995 | float |
INFO - 10:04:40: | capacity | 2.354639862275782e-05 | 0.03526029892504304 | 0.03526030637650995 | float |
INFO - 10:04:40: | growth_rate | 5.485438714492993e-05 | 0.0003527534883841395 | 0.0004936894843043693 | float |
INFO - 10:04:40: | x_lag | 0 | 0 | 10143.8602060373 | float |
INFO - 10:04:40: | logistic_nu | 0.1 | 0.180280529922043 | 10 | float |
INFO - 10:04:40: | asymptote_coeff | 0.1 | 1.51791688609898 | 10 | float |
INFO - 10:04:40: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:40: Optimization problem:
INFO - 10:04:40: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:40: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:40: over the design space:
INFO - 10:04:40: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:40: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:40: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:40: | left_asymptote | 0 | 0.001223287708952251 | 0.003526030637650995 | float |
INFO - 10:04:40: | capacity | 2.354639862275782e-05 | 0.005136743944081027 | 0.03526030637650995 | float |
INFO - 10:04:40: | growth_rate | 5.485438714492993e-05 | 0.0001262249930050695 | 0.0004936894843043693 | float |
INFO - 10:04:40: | x_lag | 0 | 6603.858329366734 | 10143.8602060373 | float |
INFO - 10:04:40: | logistic_nu | 0.1 | 0.5484496378270003 | 10 | float |
INFO - 10:04:40: | asymptote_coeff | 0.1 | 4.282038415160894 | 10 | float |
INFO - 10:04:40: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:40: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:40: 1%| | 2/250 [00:00<00:00, 389.66 it/sec, feas=True, obj=1]
INFO - 10:04:40: 1%| | 3/250 [00:00<00:00, 394.05 it/sec, feas=True, obj=0.753]
INFO - 10:04:40: 2%|▏ | 4/250 [00:00<00:00, 324.37 it/sec, feas=True, obj=0.75]
INFO - 10:04:40: 2%|▏ | 5/250 [00:00<00:00, 327.91 it/sec, feas=True, obj=0.736]
INFO - 10:04:40: 2%|▏ | 6/250 [00:00<00:00, 331.33 it/sec, feas=True, obj=0.723]
INFO - 10:04:40: 3%|▎ | 7/250 [00:00<00:00, 336.02 it/sec, feas=True, obj=0.72]
INFO - 10:04:40: 3%|▎ | 8/250 [00:00<00:00, 337.42 it/sec, feas=True, obj=0.714]
INFO - 10:04:40: 4%|▎ | 9/250 [00:00<00:00, 339.34 it/sec, feas=True, obj=0.71]
INFO - 10:04:40: 4%|▍ | 10/250 [00:00<00:00, 340.38 it/sec, feas=True, obj=0.707]
INFO - 10:04:40: 4%|▍ | 11/250 [00:00<00:00, 340.69 it/sec, feas=True, obj=0.694]
INFO - 10:04:40: 5%|▍ | 12/250 [00:00<00:00, 342.87 it/sec, feas=True, obj=0.794]
INFO - 10:04:40: 5%|▌ | 13/250 [00:00<00:00, 327.37 it/sec, feas=True, obj=0.674]
INFO - 10:04:40: 6%|▌ | 14/250 [00:00<00:00, 328.23 it/sec, feas=True, obj=0.667]
INFO - 10:04:40: 6%|▌ | 15/250 [00:00<00:00, 329.66 it/sec, feas=True, obj=0.936]
INFO - 10:04:40: 6%|▋ | 16/250 [00:00<00:00, 330.13 it/sec, feas=True, obj=0.666]
INFO - 10:04:40: 7%|▋ | 17/250 [00:00<00:00, 330.92 it/sec, feas=True, obj=1.11]
INFO - 10:04:41: 7%|▋ | 18/250 [00:00<00:00, 331.58 it/sec, feas=True, obj=0.645]
INFO - 10:04:41: 8%|▊ | 19/250 [00:00<00:00, 332.24 it/sec, feas=True, obj=0.495]
INFO - 10:04:41: 8%|▊ | 20/250 [00:00<00:00, 333.09 it/sec, feas=True, obj=1.4]
INFO - 10:04:41: 8%|▊ | 21/250 [00:00<00:00, 333.69 it/sec, feas=True, obj=0.409]
INFO - 10:04:41: 9%|▉ | 22/250 [00:00<00:00, 335.27 it/sec, feas=True, obj=3.14]
INFO - 10:04:41: 9%|▉ | 23/250 [00:00<00:00, 335.88 it/sec, feas=True, obj=0.716]
INFO - 10:04:41: 10%|▉ | 24/250 [00:00<00:00, 336.44 it/sec, feas=True, obj=0.301]
INFO - 10:04:41: 10%|█ | 25/250 [00:00<00:00, 336.64 it/sec, feas=True, obj=8.39]
INFO - 10:04:41: 10%|█ | 26/250 [00:00<00:00, 337.07 it/sec, feas=True, obj=0.307]
INFO - 10:04:41: 11%|█ | 27/250 [00:00<00:00, 337.43 it/sec, feas=True, obj=0.283]
INFO - 10:04:41: 11%|█ | 28/250 [00:00<00:00, 337.79 it/sec, feas=True, obj=0.822]
INFO - 10:04:41: 12%|█▏ | 29/250 [00:00<00:00, 338.92 it/sec, feas=True, obj=0.346]
INFO - 10:04:41: 12%|█▏ | 30/250 [00:00<00:00, 339.19 it/sec, feas=True, obj=0.256]
INFO - 10:04:41: 12%|█▏ | 31/250 [00:00<00:00, 339.48 it/sec, feas=True, obj=0.211]
INFO - 10:04:41: 13%|█▎ | 32/250 [00:00<00:00, 339.38 it/sec, feas=True, obj=0.189]
INFO - 10:04:41: 13%|█▎ | 33/250 [00:00<00:00, 339.64 it/sec, feas=True, obj=0.188]
INFO - 10:04:41: 14%|█▎ | 34/250 [00:00<00:00, 339.84 it/sec, feas=True, obj=0.188]
INFO - 10:04:41: 14%|█▍ | 35/250 [00:00<00:00, 340.36 it/sec, feas=True, obj=0.187]
INFO - 10:04:41: 14%|█▍ | 36/250 [00:00<00:00, 341.10 it/sec, feas=True, obj=0.186]
INFO - 10:04:41: 15%|█▍ | 37/250 [00:00<00:00, 341.27 it/sec, feas=True, obj=0.184]
INFO - 10:04:41: 15%|█▌ | 38/250 [00:00<00:00, 340.99 it/sec, feas=True, obj=0.18]
INFO - 10:04:41: 16%|█▌ | 39/250 [00:00<00:00, 341.10 it/sec, feas=True, obj=0.175]
INFO - 10:04:41: 16%|█▌ | 40/250 [00:00<00:00, 338.96 it/sec, feas=True, obj=0.17]
INFO - 10:04:41: 16%|█▋ | 41/250 [00:00<00:00, 339.14 it/sec, feas=True, obj=0.169]
INFO - 10:04:41: 17%|█▋ | 42/250 [00:00<00:00, 339.31 it/sec, feas=True, obj=0.168]
INFO - 10:04:41: 17%|█▋ | 43/250 [00:00<00:00, 339.14 it/sec, feas=True, obj=0.168]
INFO - 10:04:41: 18%|█▊ | 44/250 [00:00<00:00, 339.30 it/sec, feas=True, obj=0.167]
INFO - 10:04:41: 18%|█▊ | 45/250 [00:00<00:00, 339.53 it/sec, feas=True, obj=0.167]
INFO - 10:04:41: 18%|█▊ | 46/250 [00:00<00:00, 339.66 it/sec, feas=True, obj=0.167]
INFO - 10:04:41: 19%|█▉ | 47/250 [00:00<00:00, 339.74 it/sec, feas=True, obj=0.166]
INFO - 10:04:41: 19%|█▉ | 48/250 [00:00<00:00, 340.11 it/sec, feas=True, obj=0.166]
INFO - 10:04:41: 20%|█▉ | 49/250 [00:00<00:00, 340.44 it/sec, feas=True, obj=0.166]
INFO - 10:04:41: 20%|██ | 50/250 [00:00<00:00, 340.67 it/sec, feas=True, obj=0.166]
INFO - 10:04:41: 20%|██ | 51/250 [00:00<00:00, 340.80 it/sec, feas=True, obj=0.165]
INFO - 10:04:41: 21%|██ | 52/250 [00:00<00:00, 341.26 it/sec, feas=True, obj=0.167]
INFO - 10:04:41: 21%|██ | 53/250 [00:00<00:00, 341.57 it/sec, feas=True, obj=0.165]
INFO - 10:04:41: 22%|██▏ | 54/250 [00:00<00:00, 341.95 it/sec, feas=True, obj=0.163]
INFO - 10:04:41: 22%|██▏ | 55/250 [00:00<00:00, 342.45 it/sec, feas=True, obj=1.75]
INFO - 10:04:41: 22%|██▏ | 56/250 [00:00<00:00, 342.80 it/sec, feas=True, obj=0.17]
INFO - 10:04:41: 23%|██▎ | 57/250 [00:00<00:00, 343.07 it/sec, feas=True, obj=0.163]
INFO - 10:04:41: 23%|██▎ | 58/250 [00:00<00:00, 343.44 it/sec, feas=True, obj=0.345]
INFO - 10:04:41: 24%|██▎ | 59/250 [00:00<00:00, 343.79 it/sec, feas=True, obj=0.161]
INFO - 10:04:41: 24%|██▍ | 60/250 [00:00<00:00, 344.10 it/sec, feas=True, obj=0.16]
INFO - 10:04:41: 24%|██▍ | 61/250 [00:00<00:00, 344.40 it/sec, feas=True, obj=0.162]
INFO - 10:04:41: 25%|██▍ | 62/250 [00:00<00:00, 344.57 it/sec, feas=True, obj=0.16]
INFO - 10:04:41: 25%|██▌ | 63/250 [00:00<00:00, 344.76 it/sec, feas=True, obj=0.158]
INFO - 10:04:41: 26%|██▌ | 64/250 [00:00<00:00, 345.09 it/sec, feas=True, obj=0.155]
INFO - 10:04:41: 26%|██▌ | 65/250 [00:00<00:00, 345.38 it/sec, feas=True, obj=0.156]
INFO - 10:04:41: 26%|██▋ | 66/250 [00:00<00:00, 345.60 it/sec, feas=True, obj=0.155]
INFO - 10:04:41: 27%|██▋ | 67/250 [00:00<00:00, 345.91 it/sec, feas=True, obj=0.155]
INFO - 10:04:41: 27%|██▋ | 68/250 [00:00<00:00, 346.22 it/sec, feas=True, obj=0.154]
INFO - 10:04:41: 28%|██▊ | 69/250 [00:00<00:00, 346.42 it/sec, feas=True, obj=0.154]
INFO - 10:04:41: 28%|██▊ | 70/250 [00:00<00:00, 346.61 it/sec, feas=True, obj=0.154]
INFO - 10:04:41: 28%|██▊ | 71/250 [00:00<00:00, 346.78 it/sec, feas=True, obj=0.154]
INFO - 10:04:41: 29%|██▉ | 72/250 [00:00<00:00, 346.96 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 29%|██▉ | 73/250 [00:00<00:00, 347.09 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 30%|██▉ | 74/250 [00:00<00:00, 347.31 it/sec, feas=True, obj=0.393]
INFO - 10:04:41: 30%|███ | 75/250 [00:00<00:00, 347.52 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 30%|███ | 76/250 [00:00<00:00, 347.77 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 31%|███ | 77/250 [00:00<00:00, 347.97 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 31%|███ | 78/250 [00:00<00:00, 348.09 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 32%|███▏ | 79/250 [00:00<00:00, 346.83 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 32%|███▏ | 80/250 [00:00<00:00, 346.44 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 32%|███▏ | 81/250 [00:00<00:00, 346.59 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 33%|███▎ | 82/250 [00:00<00:00, 346.79 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 33%|███▎ | 83/250 [00:00<00:00, 346.76 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 34%|███▎ | 84/250 [00:00<00:00, 346.69 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 34%|███▍ | 85/250 [00:00<00:00, 346.80 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 34%|███▍ | 86/250 [00:00<00:00, 347.02 it/sec, feas=True, obj=0.227]
INFO - 10:04:41: 35%|███▍ | 87/250 [00:00<00:00, 347.28 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 35%|███▌ | 88/250 [00:00<00:00, 347.26 it/sec, feas=True, obj=0.213]
INFO - 10:04:41: 36%|███▌ | 89/250 [00:00<00:00, 347.26 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 36%|███▌ | 90/250 [00:00<00:00, 347.24 it/sec, feas=True, obj=0.213]
INFO - 10:04:41: 36%|███▋ | 91/250 [00:00<00:00, 347.16 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 37%|███▋ | 92/250 [00:00<00:00, 347.36 it/sec, feas=True, obj=0.213]
INFO - 10:04:41: 37%|███▋ | 93/250 [00:00<00:00, 347.58 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 38%|███▊ | 94/250 [00:00<00:00, 344.69 it/sec, feas=True, obj=0.213]
INFO - 10:04:41: 38%|███▊ | 95/250 [00:00<00:00, 344.74 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 38%|███▊ | 96/250 [00:00<00:00, 344.60 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 39%|███▉ | 97/250 [00:00<00:00, 344.50 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: Optimization result:
INFO - 10:04:41: Optimizer info:
INFO - 10:04:41: Status: None
INFO - 10:04:41: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:41: Solution:
INFO - 10:04:41: Objective: 0.15306059626225343
INFO - 10:04:41: Design space:
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | left_asymptote | 0 | 0 | 0.003526030637650995 | float |
INFO - 10:04:41: | capacity | 2.354639862275782e-05 | 0.03399961825386241 | 0.03526030637650995 | float |
INFO - 10:04:41: | growth_rate | 5.485438714492993e-05 | 0.0003564794824460395 | 0.0004936894843043693 | float |
INFO - 10:04:41: | x_lag | 0 | 0 | 10143.8602060373 | float |
INFO - 10:04:41: | logistic_nu | 0.1 | 0.1807944496787587 | 10 | float |
INFO - 10:04:41: | asymptote_coeff | 0.1 | 1.511402222204984 | 10 | float |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: Optimization problem:
INFO - 10:04:41: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:41: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:41: over the design space:
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | left_asymptote | 0 | 0.002743468096576471 | 0.003526030637650995 | float |
INFO - 10:04:41: | capacity | 2.354639862275782e-05 | 0.01211337202184355 | 0.03526030637650995 | float |
INFO - 10:04:41: | growth_rate | 5.485438714492993e-05 | 0.0001551385329759914 | 0.0004936894843043693 | float |
INFO - 10:04:41: | x_lag | 0 | 1747.505636405739 | 10143.8602060373 | float |
INFO - 10:04:41: | logistic_nu | 0.1 | 4.260096820785328 | 10 | float |
INFO - 10:04:41: | asymptote_coeff | 0.1 | 9.734456184588874 | 10 | float |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:41: 1%| | 2/250 [00:00<00:00, 368.94 it/sec, feas=True, obj=1]
INFO - 10:04:41: 1%| | 3/250 [00:00<00:00, 382.70 it/sec, feas=True, obj=0.761]
INFO - 10:04:41: 2%|▏ | 4/250 [00:00<00:00, 375.68 it/sec, feas=True, obj=0.76]
INFO - 10:04:41: 2%|▏ | 5/250 [00:00<00:00, 370.53 it/sec, feas=True, obj=0.76]
INFO - 10:04:41: 2%|▏ | 6/250 [00:00<00:00, 366.37 it/sec, feas=True, obj=0.762]
INFO - 10:04:41: 3%|▎ | 7/250 [00:00<00:00, 361.64 it/sec, feas=True, obj=0.759]
INFO - 10:04:41: 3%|▎ | 8/250 [00:00<00:00, 359.69 it/sec, feas=True, obj=0.759]
INFO - 10:04:41: 4%|▎ | 9/250 [00:00<00:00, 358.08 it/sec, feas=True, obj=0.754]
INFO - 10:04:41: 4%|▍ | 10/250 [00:00<00:00, 355.90 it/sec, feas=True, obj=0.762]
INFO - 10:04:41: 4%|▍ | 11/250 [00:00<00:00, 355.45 it/sec, feas=True, obj=0.752]
INFO - 10:04:41: 5%|▍ | 12/250 [00:00<00:00, 354.97 it/sec, feas=True, obj=0.745]
INFO - 10:04:41: 5%|▌ | 13/250 [00:00<00:00, 356.36 it/sec, feas=True, obj=0.913]
INFO - 10:04:41: 6%|▌ | 14/250 [00:00<00:00, 355.25 it/sec, feas=True, obj=0.733]
INFO - 10:04:41: 6%|▌ | 15/250 [00:00<00:00, 336.38 it/sec, feas=True, obj=1]
INFO - 10:04:41: 6%|▋ | 16/250 [00:00<00:00, 335.93 it/sec, feas=True, obj=0.728]
INFO - 10:04:41: 7%|▋ | 17/250 [00:00<00:00, 323.08 it/sec, feas=True, obj=0.737]
INFO - 10:04:41: 7%|▋ | 18/250 [00:00<00:00, 325.06 it/sec, feas=True, obj=0.727]
INFO - 10:04:41: 8%|▊ | 19/250 [00:00<00:00, 327.01 it/sec, feas=True, obj=1.06]
INFO - 10:04:41: 8%|▊ | 20/250 [00:00<00:00, 328.54 it/sec, feas=True, obj=0.722]
INFO - 10:04:41: 8%|▊ | 21/250 [00:00<00:00, 330.66 it/sec, feas=True, obj=0.771]
INFO - 10:04:41: 9%|▉ | 22/250 [00:00<00:00, 331.76 it/sec, feas=True, obj=0.719]
INFO - 10:04:41: 9%|▉ | 23/250 [00:00<00:00, 333.00 it/sec, feas=True, obj=0.706]
INFO - 10:04:41: 10%|▉ | 24/250 [00:00<00:00, 334.21 it/sec, feas=True, obj=0.702]
INFO - 10:04:41: 10%|█ | 25/250 [00:00<00:00, 335.65 it/sec, feas=True, obj=0.712]
INFO - 10:04:41: 10%|█ | 26/250 [00:00<00:00, 335.88 it/sec, feas=True, obj=0.653]
INFO - 10:04:41: 11%|█ | 27/250 [00:00<00:00, 335.98 it/sec, feas=True, obj=25.7]
INFO - 10:04:41: 11%|█ | 28/250 [00:00<00:00, 336.01 it/sec, feas=True, obj=2.51]
INFO - 10:04:41: 12%|█▏ | 29/250 [00:00<00:00, 333.29 it/sec, feas=True, obj=0.613]
INFO - 10:04:41: 12%|█▏ | 30/250 [00:00<00:00, 333.47 it/sec, feas=True, obj=0.226]
INFO - 10:04:41: 12%|█▏ | 31/250 [00:00<00:00, 333.75 it/sec, feas=True, obj=0.248]
INFO - 10:04:41: 13%|█▎ | 32/250 [00:00<00:00, 334.51 it/sec, feas=True, obj=0.218]
INFO - 10:04:41: 13%|█▎ | 33/250 [00:00<00:00, 335.01 it/sec, feas=True, obj=0.205]
INFO - 10:04:41: 14%|█▎ | 34/250 [00:00<00:00, 335.38 it/sec, feas=True, obj=0.249]
INFO - 10:04:41: 14%|█▍ | 35/250 [00:00<00:00, 335.45 it/sec, feas=True, obj=0.193]
INFO - 10:04:41: 14%|█▍ | 36/250 [00:00<00:00, 335.85 it/sec, feas=True, obj=0.198]
INFO - 10:04:41: 15%|█▍ | 37/250 [00:00<00:00, 336.13 it/sec, feas=True, obj=0.191]
INFO - 10:04:41: 15%|█▌ | 38/250 [00:00<00:00, 336.29 it/sec, feas=True, obj=0.187]
INFO - 10:04:41: 16%|█▌ | 39/250 [00:00<00:00, 336.85 it/sec, feas=True, obj=0.184]
INFO - 10:04:41: 16%|█▌ | 40/250 [00:00<00:00, 337.58 it/sec, feas=True, obj=0.183]
INFO - 10:04:41: 16%|█▋ | 41/250 [00:00<00:00, 337.87 it/sec, feas=True, obj=1]
INFO - 10:04:41: 17%|█▋ | 42/250 [00:00<00:00, 337.94 it/sec, feas=True, obj=0.183]
INFO - 10:04:41: 17%|█▋ | 43/250 [00:00<00:00, 338.07 it/sec, feas=True, obj=0.183]
INFO - 10:04:41: 18%|█▊ | 44/250 [00:00<00:00, 338.33 it/sec, feas=True, obj=0.383]
INFO - 10:04:41: 18%|█▊ | 45/250 [00:00<00:00, 338.73 it/sec, feas=True, obj=0.183]
INFO - 10:04:41: 18%|█▊ | 46/250 [00:00<00:00, 339.47 it/sec, feas=True, obj=0.182]
INFO - 10:04:41: 19%|█▉ | 47/250 [00:00<00:00, 338.09 it/sec, feas=True, obj=0.182]
INFO - 10:04:41: 19%|█▉ | 48/250 [00:00<00:00, 338.52 it/sec, feas=True, obj=0.181]
INFO - 10:04:41: 20%|█▉ | 49/250 [00:00<00:00, 334.14 it/sec, feas=True, obj=0.18]
INFO - 10:04:41: 20%|██ | 50/250 [00:00<00:00, 334.66 it/sec, feas=True, obj=0.179]
INFO - 10:04:41: 20%|██ | 51/250 [00:00<00:00, 335.15 it/sec, feas=True, obj=0.178]
INFO - 10:04:41: 21%|██ | 52/250 [00:00<00:00, 335.30 it/sec, feas=True, obj=0.178]
INFO - 10:04:41: 21%|██ | 53/250 [00:00<00:00, 334.93 it/sec, feas=True, obj=0.178]
INFO - 10:04:41: 22%|██▏ | 54/250 [00:00<00:00, 335.44 it/sec, feas=True, obj=0.177]
INFO - 10:04:41: 22%|██▏ | 55/250 [00:00<00:00, 335.81 it/sec, feas=True, obj=0.177]
INFO - 10:04:41: 22%|██▏ | 56/250 [00:00<00:00, 336.38 it/sec, feas=True, obj=0.177]
INFO - 10:04:41: 23%|██▎ | 57/250 [00:00<00:00, 336.66 it/sec, feas=True, obj=0.18]
INFO - 10:04:41: 23%|██▎ | 58/250 [00:00<00:00, 336.87 it/sec, feas=True, obj=0.177]
INFO - 10:04:41: 24%|██▎ | 59/250 [00:00<00:00, 337.13 it/sec, feas=True, obj=0.177]
INFO - 10:04:41: 24%|██▍ | 60/250 [00:00<00:00, 337.22 it/sec, feas=True, obj=0.177]
INFO - 10:04:41: 24%|██▍ | 61/250 [00:00<00:00, 337.65 it/sec, feas=True, obj=0.19]
INFO - 10:04:41: 25%|██▍ | 62/250 [00:00<00:00, 338.08 it/sec, feas=True, obj=0.177]
INFO - 10:04:41: 25%|██▌ | 63/250 [00:00<00:00, 338.46 it/sec, feas=True, obj=0.177]
INFO - 10:04:41: 26%|██▌ | 64/250 [00:00<00:00, 338.80 it/sec, feas=True, obj=0.177]
INFO - 10:04:41: 26%|██▌ | 65/250 [00:00<00:00, 339.22 it/sec, feas=True, obj=0.177]
INFO - 10:04:41: 26%|██▋ | 66/250 [00:00<00:00, 339.62 it/sec, feas=True, obj=0.177]
INFO - 10:04:41: 27%|██▋ | 67/250 [00:00<00:00, 339.97 it/sec, feas=True, obj=0.177]
INFO - 10:04:41: 27%|██▋ | 68/250 [00:00<00:00, 340.26 it/sec, feas=True, obj=0.177]
INFO - 10:04:41: 28%|██▊ | 69/250 [00:00<00:00, 340.75 it/sec, feas=True, obj=0.177]
INFO - 10:04:41: 28%|██▊ | 70/250 [00:00<00:00, 341.03 it/sec, feas=True, obj=0.177]
INFO - 10:04:41: 28%|██▊ | 71/250 [00:00<00:00, 341.30 it/sec, feas=True, obj=0.176]
INFO - 10:04:41: 29%|██▉ | 72/250 [00:00<00:00, 341.64 it/sec, feas=True, obj=0.176]
INFO - 10:04:41: 29%|██▉ | 73/250 [00:00<00:00, 342.09 it/sec, feas=True, obj=0.176]
INFO - 10:04:41: 30%|██▉ | 74/250 [00:00<00:00, 342.42 it/sec, feas=True, obj=0.175]
INFO - 10:04:41: 30%|███ | 75/250 [00:00<00:00, 342.77 it/sec, feas=True, obj=0.175]
INFO - 10:04:41: 30%|███ | 76/250 [00:00<00:00, 341.55 it/sec, feas=True, obj=0.174]
INFO - 10:04:41: 31%|███ | 77/250 [00:00<00:00, 340.89 it/sec, feas=True, obj=0.174]
INFO - 10:04:41: 31%|███ | 78/250 [00:00<00:00, 340.88 it/sec, feas=True, obj=0.173]
INFO - 10:04:41: 32%|███▏ | 79/250 [00:00<00:00, 340.99 it/sec, feas=True, obj=0.18]
INFO - 10:04:41: 32%|███▏ | 80/250 [00:00<00:00, 341.22 it/sec, feas=True, obj=0.172]
INFO - 10:04:41: 32%|███▏ | 81/250 [00:00<00:00, 341.32 it/sec, feas=True, obj=1.14e+3]
INFO - 10:04:41: 33%|███▎ | 82/250 [00:00<00:00, 341.44 it/sec, feas=True, obj=0.194]
INFO - 10:04:41: 33%|███▎ | 83/250 [00:00<00:00, 341.48 it/sec, feas=True, obj=0.171]
INFO - 10:04:41: 34%|███▎ | 84/250 [00:00<00:00, 341.67 it/sec, feas=True, obj=5.4e+3]
INFO - 10:04:41: 34%|███▍ | 85/250 [00:00<00:00, 341.78 it/sec, feas=True, obj=0.182]
INFO - 10:04:41: 34%|███▍ | 86/250 [00:00<00:00, 341.79 it/sec, feas=True, obj=0.17]
INFO - 10:04:41: 35%|███▍ | 87/250 [00:00<00:00, 341.89 it/sec, feas=True, obj=8.82e+5]
INFO - 10:04:41: 35%|███▌ | 88/250 [00:00<00:00, 342.10 it/sec, feas=True, obj=0.17]
INFO - 10:04:41: 36%|███▌ | 89/250 [00:00<00:00, 342.24 it/sec, feas=True, obj=0.17]
INFO - 10:04:41: 36%|███▌ | 90/250 [00:00<00:00, 342.30 it/sec, feas=True, obj=1.72e+4]
INFO - 10:04:41: 36%|███▋ | 91/250 [00:00<00:00, 342.53 it/sec, feas=True, obj=0.198]
INFO - 10:04:41: 37%|███▋ | 92/250 [00:00<00:00, 342.82 it/sec, feas=True, obj=0.169]
INFO - 10:04:41: 37%|███▋ | 93/250 [00:00<00:00, 342.91 it/sec, feas=True, obj=0.169]
INFO - 10:04:41: 38%|███▊ | 94/250 [00:00<00:00, 342.87 it/sec, feas=True, obj=0.168]
INFO - 10:04:41: 38%|███▊ | 95/250 [00:00<00:00, 342.92 it/sec, feas=True, obj=0.174]
INFO - 10:04:41: 38%|███▊ | 96/250 [00:00<00:00, 343.03 it/sec, feas=True, obj=0.168]
INFO - 10:04:41: 39%|███▉ | 97/250 [00:00<00:00, 343.31 it/sec, feas=True, obj=0.176]
INFO - 10:04:41: 39%|███▉ | 98/250 [00:00<00:00, 343.28 it/sec, feas=True, obj=0.168]
INFO - 10:04:41: 40%|███▉ | 99/250 [00:00<00:00, 343.46 it/sec, feas=True, obj=0.167]
INFO - 10:04:41: 40%|████ | 100/250 [00:00<00:00, 343.50 it/sec, feas=True, obj=0.172]
INFO - 10:04:41: 40%|████ | 101/250 [00:00<00:00, 343.47 it/sec, feas=True, obj=0.167]
INFO - 10:04:41: 41%|████ | 102/250 [00:00<00:00, 343.47 it/sec, feas=True, obj=0.166]
INFO - 10:04:41: 41%|████ | 103/250 [00:00<00:00, 343.50 it/sec, feas=True, obj=0.166]
INFO - 10:04:41: 42%|████▏ | 104/250 [00:00<00:00, 343.60 it/sec, feas=True, obj=0.165]
INFO - 10:04:41: 42%|████▏ | 105/250 [00:00<00:00, 343.46 it/sec, feas=True, obj=0.164]
INFO - 10:04:41: 42%|████▏ | 106/250 [00:00<00:00, 343.56 it/sec, feas=True, obj=0.163]
INFO - 10:04:41: 43%|████▎ | 107/250 [00:00<00:00, 343.51 it/sec, feas=True, obj=0.163]
INFO - 10:04:41: 43%|████▎ | 108/250 [00:00<00:00, 343.60 it/sec, feas=True, obj=0.175]
INFO - 10:04:41: 44%|████▎ | 109/250 [00:00<00:00, 343.55 it/sec, feas=True, obj=0.162]
INFO - 10:04:41: 44%|████▍ | 110/250 [00:00<00:00, 343.57 it/sec, feas=True, obj=0.166]
INFO - 10:04:41: 44%|████▍ | 111/250 [00:00<00:00, 343.60 it/sec, feas=True, obj=0.16]
INFO - 10:04:41: 45%|████▍ | 112/250 [00:00<00:00, 341.87 it/sec, feas=True, obj=0.161]
INFO - 10:04:41: 45%|████▌ | 113/250 [00:00<00:00, 341.22 it/sec, feas=True, obj=0.16]
INFO - 10:04:41: 46%|████▌ | 114/250 [00:00<00:00, 341.37 it/sec, feas=True, obj=0.203]
INFO - 10:04:41: 46%|████▌ | 115/250 [00:00<00:00, 341.57 it/sec, feas=True, obj=0.159]
INFO - 10:04:41: 46%|████▋ | 116/250 [00:00<00:00, 341.82 it/sec, feas=True, obj=0.306]
INFO - 10:04:41: 47%|████▋ | 117/250 [00:00<00:00, 341.94 it/sec, feas=True, obj=0.159]
INFO - 10:04:41: 47%|████▋ | 118/250 [00:00<00:00, 342.08 it/sec, feas=True, obj=0.159]
INFO - 10:04:41: 48%|████▊ | 119/250 [00:00<00:00, 342.12 it/sec, feas=True, obj=0.159]
INFO - 10:04:41: 48%|████▊ | 120/250 [00:00<00:00, 342.36 it/sec, feas=True, obj=0.158]
INFO - 10:04:41: 48%|████▊ | 121/250 [00:00<00:00, 342.44 it/sec, feas=True, obj=0.158]
INFO - 10:04:41: 49%|████▉ | 122/250 [00:00<00:00, 342.44 it/sec, feas=True, obj=0.157]
INFO - 10:04:41: 49%|████▉ | 123/250 [00:00<00:00, 342.45 it/sec, feas=True, obj=0.156]
INFO - 10:04:41: 50%|████▉ | 124/250 [00:00<00:00, 342.48 it/sec, feas=True, obj=0.204]
INFO - 10:04:41: 50%|█████ | 125/250 [00:00<00:00, 342.63 it/sec, feas=True, obj=0.156]
INFO - 10:04:41: 50%|█████ | 126/250 [00:00<00:00, 342.86 it/sec, feas=True, obj=0.193]
INFO - 10:04:41: 51%|█████ | 127/250 [00:00<00:00, 343.02 it/sec, feas=True, obj=0.156]
INFO - 10:04:41: 51%|█████ | 128/250 [00:00<00:00, 343.01 it/sec, feas=True, obj=0.155]
INFO - 10:04:41: 52%|█████▏ | 129/250 [00:00<00:00, 343.02 it/sec, feas=True, obj=0.154]
INFO - 10:04:41: 52%|█████▏ | 130/250 [00:00<00:00, 343.18 it/sec, feas=True, obj=0.175]
INFO - 10:04:41: 52%|█████▏ | 131/250 [00:00<00:00, 343.36 it/sec, feas=True, obj=0.154]
INFO - 10:04:41: 53%|█████▎ | 132/250 [00:00<00:00, 343.47 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 53%|█████▎ | 133/250 [00:00<00:00, 343.60 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 54%|█████▎ | 134/250 [00:00<00:00, 343.72 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 54%|█████▍ | 135/250 [00:00<00:00, 343.85 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 54%|█████▍ | 136/250 [00:00<00:00, 344.03 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 55%|█████▍ | 137/250 [00:00<00:00, 344.17 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 55%|█████▌ | 138/250 [00:00<00:00, 344.33 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: 56%|█████▌ | 139/250 [00:00<00:00, 344.50 it/sec, feas=True, obj=0.153]
INFO - 10:04:41: Optimization result:
INFO - 10:04:41: Optimizer info:
INFO - 10:04:41: Status: None
INFO - 10:04:41: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:41: Solution:
INFO - 10:04:41: Objective: 0.15302499560625069
INFO - 10:04:41: Design space:
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | left_asymptote | 0 | 0 | 0.003526030637650995 | float |
INFO - 10:04:41: | capacity | 2.354639862275782e-05 | 0.03526026792854306 | 0.03526030637650995 | float |
INFO - 10:04:41: | growth_rate | 5.485438714492993e-05 | 0.0003527351872233461 | 0.0004936894843043693 | float |
INFO - 10:04:41: | x_lag | 0 | 0 | 10143.8602060373 | float |
INFO - 10:04:41: | logistic_nu | 0.1 | 0.1802822465231361 | 10 | float |
INFO - 10:04:41: | asymptote_coeff | 0.1 | 1.517913921940665 | 10 | float |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: Optimization problem:
INFO - 10:04:41: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:41: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:41: over the design space:
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | left_asymptote | 0 | 0.001420549694539539 | 0.003526030637650995 | float |
INFO - 10:04:41: | capacity | 2.354639862275782e-05 | 0.01772235282643809 | 0.03526030637650995 | float |
INFO - 10:04:41: | growth_rate | 5.485438714492993e-05 | 0.0003241731805765644 | 0.0004936894843043693 | float |
INFO - 10:04:41: | x_lag | 0 | 191.467322196824 | 10143.8602060373 | float |
INFO - 10:04:41: | logistic_nu | 0.1 | 2.587510942749914 | 10 | float |
INFO - 10:04:41: | asymptote_coeff | 0.1 | 0.7930309738998174 | 10 | float |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:41: 1%| | 2/250 [00:00<00:00, 395.91 it/sec, feas=True, obj=0.87]
INFO - 10:04:41: 1%| | 3/250 [00:00<00:00, 407.03 it/sec, feas=True, obj=0.822]
INFO - 10:04:41: 2%|▏ | 4/250 [00:00<00:00, 396.68 it/sec, feas=True, obj=0.764]
INFO - 10:04:41: 2%|▏ | 5/250 [00:00<00:00, 390.47 it/sec, feas=True, obj=0.76]
INFO - 10:04:41: 2%|▏ | 6/250 [00:00<00:00, 386.20 it/sec, feas=True, obj=0.76]
INFO - 10:04:41: 3%|▎ | 7/250 [00:00<00:00, 381.63 it/sec, feas=True, obj=0.76]
INFO - 10:04:41: Optimization result:
INFO - 10:04:41: Optimizer info:
INFO - 10:04:41: Status: 0
INFO - 10:04:41: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:41: Solution:
INFO - 10:04:41: Objective: 0.7597554217598756
INFO - 10:04:41: Design space:
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | left_asymptote | 0 | 0.0008724314090842787 | 0.003526030637650995 | float |
INFO - 10:04:41: | capacity | 2.354639862275782e-05 | 0.0002363069515713245 | 0.03526030637650995 | float |
INFO - 10:04:41: | growth_rate | 5.485438714492993e-05 | 6.123999056028996e-05 | 0.0004936894843043693 | float |
INFO - 10:04:41: | x_lag | 0 | 10143.8602060373 | 10143.8602060373 | float |
INFO - 10:04:41: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:41: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: Optimization problem:
INFO - 10:04:41: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:41: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:41: over the design space:
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | left_asymptote | 0 | 0.0008854109150980012 | 0.003526030637650995 | float |
INFO - 10:04:41: | capacity | 2.354639862275782e-05 | 0.03351310720247658 | 0.03526030637650995 | float |
INFO - 10:04:41: | growth_rate | 5.485438714492993e-05 | 0.0003983474284214687 | 0.0004936894843043693 | float |
INFO - 10:04:41: | x_lag | 0 | 8083.52108645837 | 10143.8602060373 | float |
INFO - 10:04:41: | logistic_nu | 0.1 | 4.841685669245659 | 10 | float |
INFO - 10:04:41: | asymptote_coeff | 0.1 | 3.806533090469718 | 10 | float |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:41: 1%| | 2/250 [00:00<00:00, 398.24 it/sec, feas=True, obj=1]
INFO - 10:04:41: 1%| | 3/250 [00:00<00:00, 410.84 it/sec, feas=True, obj=0.872]
INFO - 10:04:41: 2%|▏ | 4/250 [00:00<00:00, 399.58 it/sec, feas=True, obj=0.802]
INFO - 10:04:41: 2%|▏ | 5/250 [00:00<00:00, 393.96 it/sec, feas=True, obj=0.76]
INFO - 10:04:41: 2%|▏ | 6/250 [00:00<00:00, 388.19 it/sec, feas=True, obj=0.76]
INFO - 10:04:41: 3%|▎ | 7/250 [00:00<00:00, 383.78 it/sec, feas=True, obj=0.76]
INFO - 10:04:41: Optimization result:
INFO - 10:04:41: Optimizer info:
INFO - 10:04:41: Status: 0
INFO - 10:04:41: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:41: Solution:
INFO - 10:04:41: Objective: 0.7597554217554539
INFO - 10:04:41: Design space:
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | left_asymptote | 0 | 0.0008724312682965598 | 0.003526030637650995 | float |
INFO - 10:04:41: | capacity | 2.354639862275782e-05 | 0.001143362086340078 | 0.03526030637650995 | float |
INFO - 10:04:41: | growth_rate | 5.485438714492993e-05 | 0.0004922799608774251 | 0.0004936894843043693 | float |
INFO - 10:04:41: | x_lag | 0 | 10143.8602060373 | 10143.8602060373 | float |
INFO - 10:04:41: | logistic_nu | 0.1 | 0.1000000122245434 | 10 | float |
INFO - 10:04:41: | asymptote_coeff | 0.1 | 9.634575317546172 | 10 | float |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: Optimization problem:
INFO - 10:04:41: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:41: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:41: over the design space:
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | left_asymptote | 0 | 0.003326488756623299 | 0.003526030637650995 | float |
INFO - 10:04:41: | capacity | 2.354639862275782e-05 | 0.007037376334874898 | 0.03526030637650995 | float |
INFO - 10:04:41: | growth_rate | 5.485438714492993e-05 | 0.0003471726975102463 | 0.0004936894843043693 | float |
INFO - 10:04:41: | x_lag | 0 | 3678.457726658126 | 10143.8602060373 | float |
INFO - 10:04:41: | logistic_nu | 0.1 | 5.169901185402307 | 10 | float |
INFO - 10:04:41: | asymptote_coeff | 0.1 | 6.84670587772096 | 10 | float |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:41: 1%| | 2/250 [00:00<00:01, 187.67 it/sec, feas=True, obj=0.934]
INFO - 10:04:41: 1%| | 3/250 [00:00<00:01, 195.87 it/sec, feas=True, obj=0.812]
INFO - 10:04:41: 2%|▏ | 4/250 [00:00<00:01, 221.62 it/sec, feas=True, obj=0.768]
INFO - 10:04:41: 2%|▏ | 5/250 [00:00<00:01, 240.33 it/sec, feas=True, obj=0.76]
INFO - 10:04:41: 2%|▏ | 6/250 [00:00<00:00, 254.54 it/sec, feas=True, obj=0.76]
INFO - 10:04:41: 3%|▎ | 7/250 [00:00<00:00, 265.16 it/sec, feas=True, obj=0.76]
INFO - 10:04:41: Optimization result:
INFO - 10:04:41: Optimizer info:
INFO - 10:04:41: Status: 0
INFO - 10:04:41: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:41: Solution:
INFO - 10:04:41: Objective: 0.7597554217710242
INFO - 10:04:41: Design space:
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | left_asymptote | 0 | 0.0008724314088332707 | 0.003526030637650995 | float |
INFO - 10:04:41: | capacity | 2.354639862275782e-05 | 3.103426858846968e-05 | 0.03526030637650995 | float |
INFO - 10:04:41: | growth_rate | 5.485438714492993e-05 | 0.0003885609175708883 | 0.0004936894843043693 | float |
INFO - 10:04:41: | x_lag | 0 | 6306.403397536063 | 10143.8602060373 | float |
INFO - 10:04:41: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:41: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: Optimization problem:
INFO - 10:04:41: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:41: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:41: over the design space:
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: | left_asymptote | 0 | 0.00251577408927353 | 0.003526030637650995 | float |
INFO - 10:04:41: | capacity | 2.354639862275782e-05 | 0.001252703476425592 | 0.03526030637650995 | float |
INFO - 10:04:41: | growth_rate | 5.485438714492993e-05 | 0.0002352727367450953 | 0.0004936894843043693 | float |
INFO - 10:04:41: | x_lag | 0 | 7453.88862803596 | 10143.8602060373 | float |
INFO - 10:04:41: | logistic_nu | 0.1 | 3.561734423309778 | 10 | float |
INFO - 10:04:41: | asymptote_coeff | 0.1 | 0.196786351209056 | 10 | float |
INFO - 10:04:41: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:41: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:41: 1%| | 2/250 [00:00<00:00, 393.43 it/sec, feas=True, obj=0.99]
INFO - 10:04:41: 1%| | 3/250 [00:00<00:00, 407.00 it/sec, feas=True, obj=0.762]
INFO - 10:04:41: 2%|▏ | 4/250 [00:00<00:00, 394.43 it/sec, feas=True, obj=0.757]
INFO - 10:04:41: 2%|▏ | 5/250 [00:00<00:00, 389.05 it/sec, feas=True, obj=0.756]
INFO - 10:04:41: 2%|▏ | 6/250 [00:00<00:00, 387.07 it/sec, feas=True, obj=0.756]
INFO - 10:04:41: 3%|▎ | 7/250 [00:00<00:00, 378.44 it/sec, feas=True, obj=0.756]
INFO - 10:04:41: 3%|▎ | 8/250 [00:00<00:00, 377.43 it/sec, feas=True, obj=0.756]
INFO - 10:04:41: 4%|▎ | 9/250 [00:00<00:00, 373.70 it/sec, feas=True, obj=0.756]
INFO - 10:04:41: 4%|▍ | 10/250 [00:00<00:00, 372.85 it/sec, feas=True, obj=0.755]
INFO - 10:04:41: 4%|▍ | 11/250 [00:00<00:00, 348.07 it/sec, feas=True, obj=0.751]
INFO - 10:04:41: 5%|▍ | 12/250 [00:00<00:00, 348.44 it/sec, feas=True, obj=0.724]
INFO - 10:04:41: 5%|▌ | 13/250 [00:00<00:00, 349.23 it/sec, feas=True, obj=0.675]
INFO - 10:04:41: 6%|▌ | 14/250 [00:00<00:00, 347.14 it/sec, feas=True, obj=0.608]
INFO - 10:04:41: 6%|▌ | 15/250 [00:00<00:00, 347.49 it/sec, feas=True, obj=0.59]
INFO - 10:04:41: 6%|▋ | 16/250 [00:00<00:00, 348.07 it/sec, feas=True, obj=0.588]
INFO - 10:04:41: 7%|▋ | 17/250 [00:00<00:00, 348.24 it/sec, feas=True, obj=0.58]
INFO - 10:04:41: 7%|▋ | 18/250 [00:00<00:00, 342.26 it/sec, feas=True, obj=0.548]
INFO - 10:04:41: 8%|▊ | 19/250 [00:00<00:00, 342.39 it/sec, feas=True, obj=0.394]
INFO - 10:04:41: 8%|▊ | 20/250 [00:00<00:00, 342.35 it/sec, feas=True, obj=0.384]
INFO - 10:04:41: 8%|▊ | 21/250 [00:00<00:00, 342.24 it/sec, feas=True, obj=0.38]
INFO - 10:04:41: 9%|▉ | 22/250 [00:00<00:00, 342.20 it/sec, feas=True, obj=0.351]
INFO - 10:04:41: 9%|▉ | 23/250 [00:00<00:00, 342.73 it/sec, feas=True, obj=0.311]
INFO - 10:04:41: 10%|▉ | 24/250 [00:00<00:00, 342.74 it/sec, feas=True, obj=0.279]
INFO - 10:04:41: 10%|█ | 25/250 [00:00<00:00, 343.28 it/sec, feas=True, obj=0.288]
INFO - 10:04:41: 10%|█ | 26/250 [00:00<00:00, 343.47 it/sec, feas=True, obj=0.245]
INFO - 10:04:41: 11%|█ | 27/250 [00:00<00:00, 344.38 it/sec, feas=True, obj=0.244]
INFO - 10:04:41: 11%|█ | 28/250 [00:00<00:00, 344.72 it/sec, feas=True, obj=1]
INFO - 10:04:41: 12%|█▏ | 29/250 [00:00<00:00, 344.49 it/sec, feas=True, obj=0.982]
INFO - 10:04:41: 12%|█▏ | 30/250 [00:00<00:00, 344.33 it/sec, feas=True, obj=0.242]
INFO - 10:04:41: 12%|█▏ | 31/250 [00:00<00:00, 344.41 it/sec, feas=True, obj=0.998]
INFO - 10:04:41: 13%|█▎ | 32/250 [00:00<00:00, 344.57 it/sec, feas=True, obj=0.238]
INFO - 10:04:41: 13%|█▎ | 33/250 [00:00<00:00, 344.78 it/sec, feas=True, obj=0.309]
INFO - 10:04:41: 14%|█▎ | 34/250 [00:00<00:00, 345.48 it/sec, feas=True, obj=0.222]
INFO - 10:04:41: 14%|█▍ | 35/250 [00:00<00:00, 345.49 it/sec, feas=True, obj=0.216]
INFO - 10:04:41: 14%|█▍ | 36/250 [00:00<00:00, 345.60 it/sec, feas=True, obj=0.559]
INFO - 10:04:41: 15%|█▍ | 37/250 [00:00<00:00, 345.53 it/sec, feas=True, obj=0.206]
INFO - 10:04:41: 15%|█▌ | 38/250 [00:00<00:00, 345.85 it/sec, feas=True, obj=0.202]
INFO - 10:04:41: 16%|█▌ | 39/250 [00:00<00:00, 345.94 it/sec, feas=True, obj=0.232]
INFO - 10:04:41: 16%|█▌ | 40/250 [00:00<00:00, 346.41 it/sec, feas=True, obj=0.199]
INFO - 10:04:41: 16%|█▋ | 41/250 [00:00<00:00, 346.85 it/sec, feas=True, obj=0.199]
INFO - 10:04:41: 17%|█▋ | 42/250 [00:00<00:00, 346.83 it/sec, feas=True, obj=0.196]
INFO - 10:04:41: 17%|█▋ | 43/250 [00:00<00:00, 346.74 it/sec, feas=True, obj=0.193]
INFO - 10:04:41: 18%|█▊ | 44/250 [00:00<00:00, 346.60 it/sec, feas=True, obj=0.188]
INFO - 10:04:41: 18%|█▊ | 45/250 [00:00<00:00, 341.85 it/sec, feas=True, obj=0.185]
INFO - 10:04:41: 18%|█▊ | 46/250 [00:00<00:00, 341.77 it/sec, feas=True, obj=0.181]
INFO - 10:04:41: 19%|█▉ | 47/250 [00:00<00:00, 342.02 it/sec, feas=True, obj=0.868]
INFO - 10:04:41: 19%|█▉ | 48/250 [00:00<00:00, 342.12 it/sec, feas=True, obj=0.18]
INFO - 10:04:41: 20%|█▉ | 49/250 [00:00<00:00, 342.25 it/sec, feas=True, obj=0.383]
INFO - 10:04:41: 20%|██ | 50/250 [00:00<00:00, 342.28 it/sec, feas=True, obj=0.179]
INFO - 10:04:41: 20%|██ | 51/250 [00:00<00:00, 342.71 it/sec, feas=True, obj=0.335]
INFO - 10:04:41: 21%|██ | 52/250 [00:00<00:00, 343.20 it/sec, feas=True, obj=0.178]
INFO - 10:04:41: 21%|██ | 53/250 [00:00<00:00, 343.59 it/sec, feas=True, obj=0.176]
INFO - 10:04:41: 22%|██▏ | 54/250 [00:00<00:00, 343.64 it/sec, feas=True, obj=0.176]
INFO - 10:04:41: 22%|██▏ | 55/250 [00:00<00:00, 343.39 it/sec, feas=True, obj=0.175]
INFO - 10:04:41: 22%|██▏ | 56/250 [00:00<00:00, 343.65 it/sec, feas=True, obj=0.174]
INFO - 10:04:41: 23%|██▎ | 57/250 [00:00<00:00, 344.00 it/sec, feas=True, obj=0.174]
INFO - 10:04:41: 23%|██▎ | 58/250 [00:00<00:00, 344.32 it/sec, feas=True, obj=0.174]
INFO - 10:04:41: 24%|██▎ | 59/250 [00:00<00:00, 344.58 it/sec, feas=True, obj=0.173]
INFO - 10:04:41: 24%|██▍ | 60/250 [00:00<00:00, 344.88 it/sec, feas=True, obj=0.173]
INFO - 10:04:41: 24%|██▍ | 61/250 [00:00<00:00, 345.17 it/sec, feas=True, obj=0.173]
INFO - 10:04:41: 25%|██▍ | 62/250 [00:00<00:00, 345.53 it/sec, feas=True, obj=0.173]
INFO - 10:04:41: 25%|██▌ | 63/250 [00:00<00:00, 345.84 it/sec, feas=True, obj=0.172]
INFO - 10:04:41: 26%|██▌ | 64/250 [00:00<00:00, 346.04 it/sec, feas=True, obj=0.172]
INFO - 10:04:41: 26%|██▌ | 65/250 [00:00<00:00, 346.37 it/sec, feas=True, obj=0.223]
INFO - 10:04:41: 26%|██▋ | 66/250 [00:00<00:00, 344.25 it/sec, feas=True, obj=0.171]
INFO - 10:04:41: 27%|██▋ | 67/250 [00:00<00:00, 344.06 it/sec, feas=True, obj=1]
INFO - 10:04:41: 27%|██▋ | 68/250 [00:00<00:00, 344.19 it/sec, feas=True, obj=0.171]
INFO - 10:04:41: 28%|██▊ | 69/250 [00:00<00:00, 344.44 it/sec, feas=True, obj=1]
INFO - 10:04:41: 28%|██▊ | 70/250 [00:00<00:00, 344.34 it/sec, feas=True, obj=0.171]
INFO - 10:04:41: 28%|██▊ | 71/250 [00:00<00:00, 344.29 it/sec, feas=True, obj=1]
INFO - 10:04:41: 29%|██▉ | 72/250 [00:00<00:00, 344.38 it/sec, feas=True, obj=0.171]
INFO - 10:04:41: 29%|██▉ | 73/250 [00:00<00:00, 344.39 it/sec, feas=True, obj=1]
INFO - 10:04:41: 30%|██▉ | 74/250 [00:00<00:00, 344.27 it/sec, feas=True, obj=0.171]
INFO - 10:04:41: 30%|███ | 75/250 [00:00<00:00, 344.27 it/sec, feas=True, obj=1]
INFO - 10:04:41: 30%|███ | 76/250 [00:00<00:00, 344.22 it/sec, feas=True, obj=0.171]
INFO - 10:04:41: 31%|███ | 77/250 [00:00<00:00, 344.49 it/sec, feas=True, obj=1]
INFO - 10:04:41: 31%|███ | 78/250 [00:00<00:00, 344.44 it/sec, feas=True, obj=0.171]
INFO - 10:04:41: 32%|███▏ | 79/250 [00:00<00:00, 344.31 it/sec, feas=True, obj=1]
INFO - 10:04:41: 32%|███▏ | 80/250 [00:00<00:00, 344.52 it/sec, feas=True, obj=0.171]
INFO - 10:04:41: 32%|███▏ | 81/250 [00:00<00:00, 344.77 it/sec, feas=True, obj=1]
INFO - 10:04:41: 33%|███▎ | 82/250 [00:00<00:00, 344.99 it/sec, feas=True, obj=0.171]
INFO - 10:04:41: 33%|███▎ | 83/250 [00:00<00:00, 345.33 it/sec, feas=True, obj=1]
INFO - 10:04:41: 34%|███▎ | 84/250 [00:00<00:00, 345.53 it/sec, feas=True, obj=0.171]
INFO - 10:04:41: 34%|███▍ | 85/250 [00:00<00:00, 345.76 it/sec, feas=True, obj=1]
INFO - 10:04:41: 34%|███▍ | 86/250 [00:00<00:00, 346.07 it/sec, feas=True, obj=0.171]
INFO - 10:04:41: 35%|███▍ | 87/250 [00:00<00:00, 345.76 it/sec, feas=True, obj=0.53]
INFO - 10:04:41: 35%|███▌ | 88/250 [00:00<00:00, 345.75 it/sec, feas=True, obj=0.171]
INFO - 10:04:41: 36%|███▌ | 89/250 [00:00<00:00, 345.61 it/sec, feas=True, obj=0.171]
INFO - 10:04:41: 36%|███▌ | 90/250 [00:00<00:00, 345.83 it/sec, feas=True, obj=0.221]
INFO - 10:04:41: 36%|███▋ | 91/250 [00:00<00:00, 345.96 it/sec, feas=True, obj=0.17]
INFO - 10:04:41: 37%|███▋ | 92/250 [00:00<00:00, 345.02 it/sec, feas=True, obj=0.284]
INFO - 10:04:41: 37%|███▋ | 93/250 [00:00<00:00, 345.17 it/sec, feas=True, obj=0.17]
INFO - 10:04:41: 38%|███▊ | 94/250 [00:00<00:00, 345.28 it/sec, feas=True, obj=0.17]
INFO - 10:04:41: 38%|███▊ | 95/250 [00:00<00:00, 345.33 it/sec, feas=True, obj=0.17]
INFO - 10:04:41: 38%|███▊ | 96/250 [00:00<00:00, 345.39 it/sec, feas=True, obj=0.169]
INFO - 10:04:41: 39%|███▉ | 97/250 [00:00<00:00, 345.46 it/sec, feas=True, obj=0.168]
INFO - 10:04:41: 39%|███▉ | 98/250 [00:00<00:00, 345.51 it/sec, feas=True, obj=0.167]
INFO - 10:04:42: 40%|███▉ | 99/250 [00:00<00:00, 345.63 it/sec, feas=True, obj=0.167]
INFO - 10:04:42: 40%|████ | 100/250 [00:00<00:00, 345.70 it/sec, feas=True, obj=0.167]
INFO - 10:04:42: 40%|████ | 101/250 [00:00<00:00, 345.56 it/sec, feas=True, obj=0.167]
INFO - 10:04:42: 41%|████ | 102/250 [00:00<00:00, 345.61 it/sec, feas=True, obj=0.166]
INFO - 10:04:42: 41%|████ | 103/250 [00:00<00:00, 345.75 it/sec, feas=True, obj=0.166]
INFO - 10:04:42: 42%|████▏ | 104/250 [00:00<00:00, 345.90 it/sec, feas=True, obj=0.165]
INFO - 10:04:42: 42%|████▏ | 105/250 [00:00<00:00, 346.01 it/sec, feas=True, obj=0.165]
INFO - 10:04:42: 42%|████▏ | 106/250 [00:00<00:00, 346.12 it/sec, feas=True, obj=0.165]
INFO - 10:04:42: 43%|████▎ | 107/250 [00:00<00:00, 346.20 it/sec, feas=True, obj=0.164]
INFO - 10:04:42: 43%|████▎ | 108/250 [00:00<00:00, 346.31 it/sec, feas=True, obj=0.167]
INFO - 10:04:42: 44%|████▎ | 109/250 [00:00<00:00, 346.40 it/sec, feas=True, obj=0.163]
INFO - 10:04:42: 44%|████▍ | 110/250 [00:00<00:00, 346.45 it/sec, feas=True, obj=0.163]
INFO - 10:04:42: 44%|████▍ | 111/250 [00:00<00:00, 346.60 it/sec, feas=True, obj=0.163]
INFO - 10:04:42: 45%|████▍ | 112/250 [00:00<00:00, 346.72 it/sec, feas=True, obj=0.162]
INFO - 10:04:42: 45%|████▌ | 113/250 [00:00<00:00, 346.90 it/sec, feas=True, obj=0.163]
INFO - 10:04:42: 46%|████▌ | 114/250 [00:00<00:00, 345.79 it/sec, feas=True, obj=0.162]
INFO - 10:04:42: 46%|████▌ | 115/250 [00:00<00:00, 345.91 it/sec, feas=True, obj=0.161]
INFO - 10:04:42: 46%|████▋ | 116/250 [00:00<00:00, 345.89 it/sec, feas=True, obj=0.161]
INFO - 10:04:42: 47%|████▋ | 117/250 [00:00<00:00, 345.98 it/sec, feas=True, obj=0.16]
INFO - 10:04:42: 47%|████▋ | 118/250 [00:00<00:00, 345.96 it/sec, feas=True, obj=0.159]
INFO - 10:04:42: 48%|████▊ | 119/250 [00:00<00:00, 345.89 it/sec, feas=True, obj=0.159]
INFO - 10:04:42: 48%|████▊ | 120/250 [00:00<00:00, 346.00 it/sec, feas=True, obj=0.158]
INFO - 10:04:42: 48%|████▊ | 121/250 [00:00<00:00, 346.23 it/sec, feas=True, obj=0.158]
INFO - 10:04:42: 49%|████▉ | 122/250 [00:00<00:00, 346.22 it/sec, feas=True, obj=0.158]
INFO - 10:04:42: 49%|████▉ | 123/250 [00:00<00:00, 346.27 it/sec, feas=True, obj=0.158]
INFO - 10:04:42: 50%|████▉ | 124/250 [00:00<00:00, 346.39 it/sec, feas=True, obj=0.157]
INFO - 10:04:42: 50%|█████ | 125/250 [00:00<00:00, 346.37 it/sec, feas=True, obj=0.157]
INFO - 10:04:42: 50%|█████ | 126/250 [00:00<00:00, 346.47 it/sec, feas=True, obj=0.156]
INFO - 10:04:42: 51%|█████ | 127/250 [00:00<00:00, 346.65 it/sec, feas=True, obj=0.156]
INFO - 10:04:42: 51%|█████ | 128/250 [00:00<00:00, 346.47 it/sec, feas=True, obj=0.157]
INFO - 10:04:42: 52%|█████▏ | 129/250 [00:00<00:00, 346.58 it/sec, feas=True, obj=0.155]
INFO - 10:04:42: 52%|█████▏ | 130/250 [00:00<00:00, 346.54 it/sec, feas=True, obj=0.155]
INFO - 10:04:42: 52%|█████▏ | 131/250 [00:00<00:00, 346.52 it/sec, feas=True, obj=0.155]
INFO - 10:04:42: 53%|█████▎ | 132/250 [00:00<00:00, 346.62 it/sec, feas=True, obj=0.155]
INFO - 10:04:42: 53%|█████▎ | 133/250 [00:00<00:00, 346.79 it/sec, feas=True, obj=0.154]
INFO - 10:04:42: 54%|█████▎ | 134/250 [00:00<00:00, 345.64 it/sec, feas=True, obj=0.154]
INFO - 10:04:42: 54%|█████▍ | 135/250 [00:00<00:00, 345.63 it/sec, feas=True, obj=0.155]
INFO - 10:04:42: 54%|█████▍ | 136/250 [00:00<00:00, 345.55 it/sec, feas=True, obj=0.154]
INFO - 10:04:42: 55%|█████▍ | 137/250 [00:00<00:00, 345.43 it/sec, feas=True, obj=0.154]
INFO - 10:04:42: 55%|█████▌ | 138/250 [00:00<00:00, 345.44 it/sec, feas=True, obj=0.154]
INFO - 10:04:42: 56%|█████▌ | 139/250 [00:00<00:00, 345.53 it/sec, feas=True, obj=0.154]
INFO - 10:04:42: 56%|█████▌ | 140/250 [00:00<00:00, 345.51 it/sec, feas=True, obj=0.154]
INFO - 10:04:42: 56%|█████▋ | 141/250 [00:00<00:00, 345.50 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 57%|█████▋ | 142/250 [00:00<00:00, 345.59 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 57%|█████▋ | 143/250 [00:00<00:00, 345.72 it/sec, feas=True, obj=0.265]
INFO - 10:04:42: 58%|█████▊ | 144/250 [00:00<00:00, 345.87 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 58%|█████▊ | 145/250 [00:00<00:00, 345.87 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 58%|█████▊ | 146/250 [00:00<00:00, 345.86 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 59%|█████▉ | 147/250 [00:00<00:00, 345.84 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 59%|█████▉ | 148/250 [00:00<00:00, 345.84 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 60%|█████▉ | 149/250 [00:00<00:00, 345.84 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 60%|██████ | 150/250 [00:00<00:00, 345.82 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 60%|██████ | 151/250 [00:00<00:00, 345.96 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 61%|██████ | 152/250 [00:00<00:00, 345.90 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 61%|██████ | 153/250 [00:00<00:00, 345.98 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 62%|██████▏ | 154/250 [00:00<00:00, 345.96 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 62%|██████▏ | 155/250 [00:00<00:00, 345.95 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 62%|██████▏ | 156/250 [00:00<00:00, 345.90 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 63%|██████▎ | 157/250 [00:00<00:00, 345.88 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 63%|██████▎ | 158/250 [00:00<00:00, 345.99 it/sec, feas=True, obj=0.171]
INFO - 10:04:42: 64%|██████▎ | 159/250 [00:00<00:00, 346.11 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 64%|██████▍ | 160/250 [00:00<00:00, 346.12 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 64%|██████▍ | 161/250 [00:00<00:00, 346.07 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 65%|██████▍ | 162/250 [00:00<00:00, 346.06 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 65%|██████▌ | 163/250 [00:00<00:00, 345.77 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: Optimization result:
INFO - 10:04:42: Optimizer info:
INFO - 10:04:42: Status: 0
INFO - 10:04:42: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:42: Solution:
INFO - 10:04:42: Objective: 0.15302499483643223
INFO - 10:04:42: Design space:
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 0.03526030637650995 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 0.0003527353354092524 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 0 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 0.1802823021132912 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 1.517914530610214 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: Optimization problem:
INFO - 10:04:42: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:42: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:42: over the design space:
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0.0008235995195824635 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 0.0265504492950007 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 0.0002952762790171243 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 4059.742777459041 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 1.584139511566824 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 8.646435449387221 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:42: 1%| | 2/250 [00:00<00:00, 386.93 it/sec, feas=True, obj=1]
INFO - 10:04:42: 1%| | 3/250 [00:00<00:00, 357.17 it/sec, feas=True, obj=0.957]
INFO - 10:04:42: 2%|▏ | 4/250 [00:00<00:00, 357.95 it/sec, feas=True, obj=0.819]
INFO - 10:04:42: 2%|▏ | 5/250 [00:00<00:00, 354.70 it/sec, feas=True, obj=0.776]
INFO - 10:04:42: 2%|▏ | 6/250 [00:00<00:00, 353.83 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 3%|▎ | 7/250 [00:00<00:00, 354.21 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 3%|▎ | 8/250 [00:00<00:00, 349.87 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: Optimization result:
INFO - 10:04:42: Optimizer info:
INFO - 10:04:42: Status: 0
INFO - 10:04:42: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:42: Solution:
INFO - 10:04:42: Objective: 0.759755421360343
INFO - 10:04:42: Design space:
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0.0008724314066206077 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 0.01424021251695978 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 0.000384565058585548 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 6812.108302294855 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 0.1000011370477007 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 9.306596907072533 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: Optimization problem:
INFO - 10:04:42: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:42: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:42: over the design space:
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0.0005156941539779164 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 0.01989188886559047 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 7.498305612207914e-05 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 3539.811181481325 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 3.881851228413161 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 5.404868117632494 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:42: 1%| | 2/250 [00:00<00:00, 367.63 it/sec, feas=True, obj=1]
INFO - 10:04:42: 1%| | 3/250 [00:00<00:00, 383.72 it/sec, feas=True, obj=0.895]
INFO - 10:04:42: 2%|▏ | 4/250 [00:00<00:00, 373.50 it/sec, feas=True, obj=0.816]
INFO - 10:04:42: 2%|▏ | 5/250 [00:00<00:00, 366.28 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 2%|▏ | 6/250 [00:00<00:00, 360.27 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 3%|▎ | 7/250 [00:00<00:00, 355.07 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 3%|▎ | 8/250 [00:00<00:00, 356.47 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 4%|▎ | 9/250 [00:00<00:00, 355.04 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: Optimization result:
INFO - 10:04:42: Optimizer info:
INFO - 10:04:42: Status: None
INFO - 10:04:42: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:42: Solution:
INFO - 10:04:42: Objective: 0.7597554282469189
INFO - 10:04:42: Design space:
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0.0008724328238250577 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 0.0002266541147449866 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 0.0002107125056482401 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 6371.258600065458 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 0.1382132137057326 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 9.730308254784111 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: Optimization problem:
INFO - 10:04:42: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:42: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:42: over the design space:
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0.00296714903917338 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 0.03247956430145429 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 0.0001183602103495616 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 4775.17853698624 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 8.234739433018818 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 3.408753901197628 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:42: 1%| | 2/250 [00:00<00:00, 276.30 it/sec, feas=True, obj=0.841]
INFO - 10:04:42: 1%| | 3/250 [00:00<00:00, 305.32 it/sec, feas=True, obj=0.783]
INFO - 10:04:42: 2%|▏ | 4/250 [00:00<00:00, 314.84 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 2%|▏ | 5/250 [00:00<00:00, 321.01 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 2%|▏ | 6/250 [00:00<00:00, 321.45 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 3%|▎ | 7/250 [00:00<00:00, 321.76 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: Optimization result:
INFO - 10:04:42: Optimizer info:
INFO - 10:04:42: Status: 0
INFO - 10:04:42: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:42: Solution:
INFO - 10:04:42: Objective: 0.759755421760693
INFO - 10:04:42: Design space:
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0.0008724314099041995 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 2.354639950966225e-05 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 0.0004936894843043693 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 10143.8602060373 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: Optimization problem:
INFO - 10:04:42: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:42: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:42: over the design space:
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0.003399035040415052 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 0.01452780879354661 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 0.0002734082565285639 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 8375.674632481547 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 8.81154772732992 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 4.60272431489444 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:42: 1%| | 2/250 [00:00<00:00, 367.74 it/sec, feas=True, obj=0.799]
INFO - 10:04:42: 1%| | 3/250 [00:00<00:00, 384.25 it/sec, feas=True, obj=0.78]
INFO - 10:04:42: 2%|▏ | 4/250 [00:00<00:00, 374.09 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 2%|▏ | 5/250 [00:00<00:00, 366.72 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 2%|▏ | 6/250 [00:00<00:00, 361.12 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: Optimization result:
INFO - 10:04:42: Optimizer info:
INFO - 10:04:42: Status: 0
INFO - 10:04:42: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:42: Solution:
INFO - 10:04:42: Objective: 0.759755421760697
INFO - 10:04:42: Design space:
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0.0008724313041655964 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 2.354639897652942e-05 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 0.0004936894843043693 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 10143.8602060373 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: Optimization problem:
INFO - 10:04:42: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:42: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:42: over the design space:
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0.001310979836996202 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 0.009808114045336365 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 0.0002182811627868458 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 2919.711844632503 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 9.197003967850243 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 2.224733400313706 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:42: 1%| | 2/250 [00:00<00:00, 369.59 it/sec, feas=True, obj=0.95]
INFO - 10:04:42: 1%| | 3/250 [00:00<00:00, 376.04 it/sec, feas=True, obj=0.891]
INFO - 10:04:42: 2%|▏ | 4/250 [00:00<00:00, 366.86 it/sec, feas=True, obj=0.727]
INFO - 10:04:42: 2%|▏ | 5/250 [00:00<00:00, 359.65 it/sec, feas=True, obj=0.72]
INFO - 10:04:42: 2%|▏ | 6/250 [00:00<00:00, 357.76 it/sec, feas=True, obj=0.851]
INFO - 10:04:42: 3%|▎ | 7/250 [00:00<00:00, 353.89 it/sec, feas=True, obj=0.706]
INFO - 10:04:42: 3%|▎ | 8/250 [00:00<00:00, 353.22 it/sec, feas=True, obj=0.697]
INFO - 10:04:42: 4%|▎ | 9/250 [00:00<00:00, 353.70 it/sec, feas=True, obj=0.723]
INFO - 10:04:42: 4%|▍ | 10/250 [00:00<00:00, 354.00 it/sec, feas=True, obj=0.691]
INFO - 10:04:42: 4%|▍ | 11/250 [00:00<00:00, 354.10 it/sec, feas=True, obj=0.782]
INFO - 10:04:42: 5%|▍ | 12/250 [00:00<00:00, 355.12 it/sec, feas=True, obj=0.683]
INFO - 10:04:42: 5%|▌ | 13/250 [00:00<00:00, 354.35 it/sec, feas=True, obj=0.58]
INFO - 10:04:42: 6%|▌ | 14/250 [00:00<00:00, 354.71 it/sec, feas=True, obj=0.542]
INFO - 10:04:42: 6%|▌ | 15/250 [00:00<00:00, 353.47 it/sec, feas=True, obj=0.716]
INFO - 10:04:42: 6%|▋ | 16/250 [00:00<00:00, 353.49 it/sec, feas=True, obj=0.449]
INFO - 10:04:42: 7%|▋ | 17/250 [00:00<00:00, 353.71 it/sec, feas=True, obj=0.314]
INFO - 10:04:42: 7%|▋ | 18/250 [00:00<00:00, 352.88 it/sec, feas=True, obj=3.98]
INFO - 10:04:42: 8%|▊ | 19/250 [00:00<00:00, 353.34 it/sec, feas=True, obj=0.253]
INFO - 10:04:42: 8%|▊ | 20/250 [00:00<00:00, 353.35 it/sec, feas=True, obj=0.227]
INFO - 10:04:42: 8%|▊ | 21/250 [00:00<00:00, 353.59 it/sec, feas=True, obj=0.265]
INFO - 10:04:42: 9%|▉ | 22/250 [00:00<00:00, 353.03 it/sec, feas=True, obj=0.185]
INFO - 10:04:42: 9%|▉ | 23/250 [00:00<00:00, 353.57 it/sec, feas=True, obj=0.182]
INFO - 10:04:42: 10%|▉ | 24/250 [00:00<00:00, 354.05 it/sec, feas=True, obj=0.181]
INFO - 10:04:42: 10%|█ | 25/250 [00:00<00:00, 354.53 it/sec, feas=True, obj=0.181]
INFO - 10:04:42: 10%|█ | 26/250 [00:00<00:00, 354.71 it/sec, feas=True, obj=0.179]
INFO - 10:04:42: 11%|█ | 27/250 [00:00<00:00, 355.20 it/sec, feas=True, obj=0.183]
INFO - 10:04:42: 11%|█ | 28/250 [00:00<00:00, 355.57 it/sec, feas=True, obj=0.177]
INFO - 10:04:42: 12%|█▏ | 29/250 [00:00<00:00, 355.25 it/sec, feas=True, obj=0.175]
INFO - 10:04:42: 12%|█▏ | 30/250 [00:00<00:00, 355.20 it/sec, feas=True, obj=0.172]
INFO - 10:04:42: 12%|█▏ | 31/250 [00:00<00:00, 355.22 it/sec, feas=True, obj=0.186]
INFO - 10:04:42: 13%|█▎ | 32/250 [00:00<00:00, 354.90 it/sec, feas=True, obj=0.171]
INFO - 10:04:42: 13%|█▎ | 33/250 [00:00<00:00, 355.24 it/sec, feas=True, obj=0.185]
INFO - 10:04:42: 14%|█▎ | 34/250 [00:00<00:00, 355.61 it/sec, feas=True, obj=0.171]
INFO - 10:04:42: 14%|█▍ | 35/250 [00:00<00:00, 355.74 it/sec, feas=True, obj=0.169]
INFO - 10:04:42: 14%|█▍ | 36/250 [00:00<00:00, 355.99 it/sec, feas=True, obj=0.168]
INFO - 10:04:42: 15%|█▍ | 37/250 [00:00<00:00, 348.17 it/sec, feas=True, obj=0.167]
INFO - 10:04:42: 15%|█▌ | 38/250 [00:00<00:00, 348.52 it/sec, feas=True, obj=3.2e+10]
INFO - 10:04:42: 16%|█▌ | 39/250 [00:00<00:00, 342.47 it/sec, feas=True, obj=0.176]
INFO - 10:04:42: 16%|█▌ | 40/250 [00:00<00:00, 342.50 it/sec, feas=True, obj=0.166]
INFO - 10:04:42: 16%|█▋ | 41/250 [00:00<00:00, 342.67 it/sec, feas=True, obj=2.85e+10]
INFO - 10:04:42: 17%|█▋ | 42/250 [00:00<00:00, 342.77 it/sec, feas=True, obj=0.225]
INFO - 10:04:42: 17%|█▋ | 43/250 [00:00<00:00, 342.75 it/sec, feas=True, obj=0.166]
INFO - 10:04:42: 18%|█▊ | 44/250 [00:00<00:00, 342.88 it/sec, feas=True, obj=0.822]
INFO - 10:04:42: 18%|█▊ | 45/250 [00:00<00:00, 343.08 it/sec, feas=True, obj=0.287]
INFO - 10:04:42: 18%|█▊ | 46/250 [00:00<00:00, 343.04 it/sec, feas=True, obj=0.166]
INFO - 10:04:42: 19%|█▉ | 47/250 [00:00<00:00, 343.66 it/sec, feas=True, obj=3.52e+6]
INFO - 10:04:42: 19%|█▉ | 48/250 [00:00<00:00, 343.82 it/sec, feas=True, obj=0.242]
INFO - 10:04:42: 20%|█▉ | 49/250 [00:00<00:00, 343.65 it/sec, feas=True, obj=0.165]
INFO - 10:04:42: 20%|██ | 50/250 [00:00<00:00, 343.82 it/sec, feas=True, obj=5.19e+9]
INFO - 10:04:42: 20%|██ | 51/250 [00:00<00:00, 343.98 it/sec, feas=True, obj=0.265]
INFO - 10:04:42: 21%|██ | 52/250 [00:00<00:00, 344.02 it/sec, feas=True, obj=0.164]
INFO - 10:04:42: 21%|██ | 53/250 [00:00<00:00, 344.41 it/sec, feas=True, obj=3.27e+3]
INFO - 10:04:42: 22%|██▏ | 54/250 [00:00<00:00, 344.97 it/sec, feas=True, obj=0.163]
INFO - 10:04:42: 22%|██▏ | 55/250 [00:00<00:00, 345.10 it/sec, feas=True, obj=1.27]
INFO - 10:04:42: 22%|██▏ | 56/250 [00:00<00:00, 345.19 it/sec, feas=True, obj=0.159]
INFO - 10:04:42: 23%|██▎ | 57/250 [00:00<00:00, 345.09 it/sec, feas=True, obj=0.159]
INFO - 10:04:42: 23%|██▎ | 58/250 [00:00<00:00, 345.22 it/sec, feas=True, obj=0.319]
INFO - 10:04:42: 24%|██▎ | 59/250 [00:00<00:00, 345.18 it/sec, feas=True, obj=0.159]
INFO - 10:04:42: 24%|██▍ | 60/250 [00:00<00:00, 345.64 it/sec, feas=True, obj=0.205]
INFO - 10:04:42: 24%|██▍ | 61/250 [00:00<00:00, 345.62 it/sec, feas=True, obj=0.159]
INFO - 10:04:42: 25%|██▍ | 62/250 [00:00<00:00, 345.91 it/sec, feas=True, obj=0.165]
INFO - 10:04:42: 25%|██▌ | 63/250 [00:00<00:00, 345.97 it/sec, feas=True, obj=0.158]
INFO - 10:04:42: 26%|██▌ | 64/250 [00:00<00:00, 345.94 it/sec, feas=True, obj=0.157]
INFO - 10:04:42: 26%|██▌ | 65/250 [00:00<00:00, 346.23 it/sec, feas=True, obj=0.157]
INFO - 10:04:42: 26%|██▋ | 66/250 [00:00<00:00, 346.49 it/sec, feas=True, obj=0.157]
INFO - 10:04:42: 27%|██▋ | 67/250 [00:00<00:00, 346.54 it/sec, feas=True, obj=0.156]
INFO - 10:04:42: 27%|██▋ | 68/250 [00:00<00:00, 346.53 it/sec, feas=True, obj=0.156]
INFO - 10:04:42: 28%|██▊ | 69/250 [00:00<00:00, 346.33 it/sec, feas=True, obj=0.155]
INFO - 10:04:42: 28%|██▊ | 70/250 [00:00<00:00, 346.41 it/sec, feas=True, obj=0.158]
INFO - 10:04:42: 28%|██▊ | 71/250 [00:00<00:00, 346.42 it/sec, feas=True, obj=0.155]
INFO - 10:04:42: 29%|██▉ | 72/250 [00:00<00:00, 346.64 it/sec, feas=True, obj=0.155]
INFO - 10:04:42: 29%|██▉ | 73/250 [00:00<00:00, 346.64 it/sec, feas=True, obj=0.155]
INFO - 10:04:42: 30%|██▉ | 74/250 [00:00<00:00, 346.60 it/sec, feas=True, obj=0.155]
INFO - 10:04:42: 30%|███ | 75/250 [00:00<00:00, 346.77 it/sec, feas=True, obj=0.159]
INFO - 10:04:42: 30%|███ | 76/250 [00:00<00:00, 346.84 it/sec, feas=True, obj=0.155]
INFO - 10:04:42: 31%|███ | 77/250 [00:00<00:00, 345.34 it/sec, feas=True, obj=0.159]
INFO - 10:04:42: 31%|███ | 78/250 [00:00<00:00, 345.09 it/sec, feas=True, obj=0.155]
INFO - 10:04:42: 32%|███▏ | 79/250 [00:00<00:00, 345.19 it/sec, feas=True, obj=0.155]
INFO - 10:04:42: 32%|███▏ | 80/250 [00:00<00:00, 345.04 it/sec, feas=True, obj=0.154]
INFO - 10:04:42: 32%|███▏ | 81/250 [00:00<00:00, 345.25 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 33%|███▎ | 82/250 [00:00<00:00, 345.23 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 33%|███▎ | 83/250 [00:00<00:00, 345.44 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 34%|███▎ | 84/250 [00:00<00:00, 345.66 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 34%|███▍ | 85/250 [00:00<00:00, 345.90 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 34%|███▍ | 86/250 [00:00<00:00, 346.01 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 35%|███▍ | 87/250 [00:00<00:00, 346.19 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 35%|███▌ | 88/250 [00:00<00:00, 346.40 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 36%|███▌ | 89/250 [00:00<00:00, 346.56 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 36%|███▌ | 90/250 [00:00<00:00, 346.75 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 36%|███▋ | 91/250 [00:00<00:00, 346.90 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 37%|███▋ | 92/250 [00:00<00:00, 347.14 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 37%|███▋ | 93/250 [00:00<00:00, 345.74 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 38%|███▊ | 94/250 [00:00<00:00, 345.58 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 38%|███▊ | 95/250 [00:00<00:00, 345.54 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 38%|███▊ | 96/250 [00:00<00:00, 345.63 it/sec, feas=True, obj=0.264]
INFO - 10:04:42: 39%|███▉ | 97/250 [00:00<00:00, 345.66 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 39%|███▉ | 98/250 [00:00<00:00, 345.80 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 40%|███▉ | 99/250 [00:00<00:00, 345.95 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 40%|████ | 100/250 [00:00<00:00, 346.11 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 40%|████ | 101/250 [00:00<00:00, 346.31 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 41%|████ | 102/250 [00:00<00:00, 346.52 it/sec, feas=True, obj=0.187]
INFO - 10:04:42: 41%|████ | 103/250 [00:00<00:00, 346.49 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 42%|████▏ | 104/250 [00:00<00:00, 346.64 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 42%|████▏ | 105/250 [00:00<00:00, 346.81 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: 42%|████▏ | 106/250 [00:00<00:00, 346.95 it/sec, feas=True, obj=0.153]
INFO - 10:04:42: Optimization result:
INFO - 10:04:42: Optimizer info:
INFO - 10:04:42: Status: None
INFO - 10:04:42: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:42: Solution:
INFO - 10:04:42: Objective: 0.1530249948364323
INFO - 10:04:42: Design space:
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 0.03526030637650995 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 0.0003527353392840448 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 0 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 0.1802823010567852 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 1.517914528508511 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: Optimization problem:
INFO - 10:04:42: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:42: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:42: over the design space:
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0.001637252847972055 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 0.01239465749440808 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 0.0004659629439066677 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 9493.218766826472 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 2.425630286446258 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 7.080730934612159 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:42: 1%| | 2/250 [00:00<00:00, 394.55 it/sec, feas=True, obj=1]
INFO - 10:04:42: 1%| | 3/250 [00:00<00:00, 407.23 it/sec, feas=True, obj=0.807]
INFO - 10:04:42: 2%|▏ | 4/250 [00:00<00:00, 396.27 it/sec, feas=True, obj=0.772]
INFO - 10:04:42: 2%|▏ | 5/250 [00:00<00:00, 390.68 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 2%|▏ | 6/250 [00:00<00:00, 387.74 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 3%|▎ | 7/250 [00:00<00:00, 381.37 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: Optimization result:
INFO - 10:04:42: Optimizer info:
INFO - 10:04:42: Status: 0
INFO - 10:04:42: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:42: Solution:
INFO - 10:04:42: Objective: 0.7597554217384617
INFO - 10:04:42: Design space:
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0.0008724314087596957 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 0.002593788187673806 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 0.0004899767561646621 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 10108.90048191452 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 0.1000001002929253 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 9.01879278648852 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: Optimization problem:
INFO - 10:04:42: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:42: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:42: over the design space:
INFO - 10:04:42: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0.002318300440361144 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 0.03084510469084467 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 0.000190170760987681 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 922.6804547713064 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 1.720671591034137 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 6.258728338364227 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:42: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:42: 1%| | 2/250 [00:00<00:00, 277.57 it/sec, feas=True, obj=1]
INFO - 10:04:42: 1%| | 3/250 [00:00<00:00, 309.00 it/sec, feas=True, obj=0.869]
INFO - 10:04:42: 2%|▏ | 4/250 [00:00<00:00, 320.44 it/sec, feas=True, obj=0.8]
INFO - 10:04:42: 2%|▏ | 5/250 [00:00<00:00, 324.30 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 2%|▏ | 6/250 [00:00<00:00, 327.05 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 3%|▎ | 7/250 [00:00<00:00, 329.67 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: Optimization result:
INFO - 10:04:42: Optimizer info:
INFO - 10:04:42: Status: 0
INFO - 10:04:42: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:42: Solution:
INFO - 10:04:42: Objective: 0.7597554214859089
INFO - 10:04:42: Design space:
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0.0008724312867222787 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 0.009266589561467814 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 0.0001758558198552596 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 7258.358621998687 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 0.1000010494000923 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 8.905960161609014 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: Optimization problem:
INFO - 10:04:42: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:42: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:42: over the design space:
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0.0003405283585582879 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 0.02490618851542874 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 0.0001810718953750062 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 9657.300568594192 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 6.787332013229979 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 1.867656520116681 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:42: 1%| | 2/250 [00:00<00:00, 382.20 it/sec, feas=True, obj=1]
INFO - 10:04:42: 1%| | 3/250 [00:00<00:00, 392.26 it/sec, feas=True, obj=0.87]
INFO - 10:04:42: 2%|▏ | 4/250 [00:00<00:00, 386.65 it/sec, feas=True, obj=0.8]
INFO - 10:04:42: 2%|▏ | 5/250 [00:00<00:00, 342.57 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 2%|▏ | 6/250 [00:00<00:00, 342.10 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 3%|▎ | 7/250 [00:00<00:00, 343.10 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 3%|▎ | 8/250 [00:00<00:00, 344.19 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 4%|▎ | 9/250 [00:00<00:00, 344.89 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: Optimization result:
INFO - 10:04:42: Optimizer info:
INFO - 10:04:42: Status: None
INFO - 10:04:42: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:42: Solution:
INFO - 10:04:42: Objective: 0.759755433946387
INFO - 10:04:42: Design space:
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0.0008724316191073453 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 2.364603570087362e-05 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 0.0004910063056690078 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 10143.8602060373 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 0.1490562580198492 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 9.914181488753057 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: Optimization problem:
INFO - 10:04:42: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:42: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:42: over the design space:
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0.002276353148667523 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 0.02454463935206779 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 0.0004807100058208206 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 2480.651785084679 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 6.425630516779915 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 1.548411432916598 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:42: 1%| | 2/250 [00:00<00:00, 384.09 it/sec, feas=True, obj=0.765]
INFO - 10:04:42: 1%| | 3/250 [00:00<00:00, 390.70 it/sec, feas=True, obj=0.761]
INFO - 10:04:42: 2%|▏ | 4/250 [00:00<00:00, 385.82 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 2%|▏ | 5/250 [00:00<00:00, 377.60 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: 2%|▏ | 6/250 [00:00<00:00, 371.53 it/sec, feas=True, obj=0.76]
INFO - 10:04:42: Optimization result:
INFO - 10:04:42: Optimizer info:
INFO - 10:04:42: Status: 0
INFO - 10:04:42: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:42: Solution:
INFO - 10:04:42: Objective: 0.7597554217603848
INFO - 10:04:42: Design space:
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0.0008724314099072585 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 9.545676649963337e-05 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 0.0004936894843043693 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 10143.8602060373 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: Optimization problem:
INFO - 10:04:42: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:42: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:42: over the design space:
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: | left_asymptote | 0 | 0.0006751841518251778 | 0.003526030637650995 | float |
INFO - 10:04:42: | capacity | 2.354639862275782e-05 | 0.002488086439288356 | 0.03526030637650995 | float |
INFO - 10:04:42: | growth_rate | 5.485438714492993e-05 | 0.0004409753767341247 | 0.0004936894843043693 | float |
INFO - 10:04:42: | x_lag | 0 | 1134.766665589024 | 10143.8602060373 | float |
INFO - 10:04:42: | logistic_nu | 0.1 | 7.841656902223648 | 10 | float |
INFO - 10:04:42: | asymptote_coeff | 0.1 | 5.549818106841609 | 10 | float |
INFO - 10:04:42: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:42: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:42: 1%| | 2/250 [00:00<00:00, 390.19 it/sec, feas=True, obj=0.992]
INFO - 10:04:42: 1%| | 3/250 [00:00<00:00, 398.24 it/sec, feas=True, obj=0.754]
INFO - 10:04:42: 2%|▏ | 4/250 [00:00<00:00, 383.66 it/sec, feas=True, obj=0.753]
INFO - 10:04:42: 2%|▏ | 5/250 [00:00<00:00, 375.97 it/sec, feas=True, obj=0.753]
INFO - 10:04:42: 2%|▏ | 6/250 [00:00<00:00, 372.05 it/sec, feas=True, obj=0.753]
INFO - 10:04:42: 3%|▎ | 7/250 [00:00<00:00, 368.11 it/sec, feas=True, obj=0.753]
INFO - 10:04:42: 3%|▎ | 8/250 [00:00<00:00, 362.03 it/sec, feas=True, obj=0.752]
INFO - 10:04:42: 4%|▎ | 9/250 [00:00<00:00, 361.83 it/sec, feas=True, obj=0.75]
INFO - 10:04:42: 4%|▍ | 10/250 [00:00<00:00, 362.05 it/sec, feas=True, obj=0.745]
INFO - 10:04:42: 4%|▍ | 11/250 [00:00<00:00, 362.15 it/sec, feas=True, obj=0.747]
INFO - 10:04:42: 5%|▍ | 12/250 [00:00<00:00, 360.89 it/sec, feas=True, obj=0.735]
INFO - 10:04:42: 5%|▌ | 13/250 [00:00<00:00, 361.49 it/sec, feas=True, obj=0.75]
INFO - 10:04:42: 6%|▌ | 14/250 [00:00<00:00, 362.13 it/sec, feas=True, obj=0.731]
INFO - 10:04:42: 6%|▌ | 15/250 [00:00<00:00, 362.48 it/sec, feas=True, obj=0.783]
INFO - 10:04:42: 6%|▋ | 16/250 [00:00<00:00, 362.61 it/sec, feas=True, obj=0.727]
INFO - 10:04:42: 7%|▋ | 17/250 [00:00<00:00, 363.09 it/sec, feas=True, obj=0.944]
INFO - 10:04:42: 7%|▋ | 18/250 [00:00<00:00, 362.70 it/sec, feas=True, obj=0.724]
INFO - 10:04:42: 8%|▊ | 19/250 [00:00<00:00, 362.23 it/sec, feas=True, obj=0.772]
INFO - 10:04:42: 8%|▊ | 20/250 [00:00<00:00, 361.51 it/sec, feas=True, obj=0.722]
INFO - 10:04:42: 8%|▊ | 21/250 [00:00<00:00, 360.97 it/sec, feas=True, obj=0.743]
INFO - 10:04:42: 9%|▉ | 22/250 [00:00<00:00, 360.46 it/sec, feas=True, obj=0.712]
INFO - 10:04:42: 9%|▉ | 23/250 [00:00<00:00, 359.93 it/sec, feas=True, obj=0.695]
INFO - 10:04:42: 10%|▉ | 24/250 [00:00<00:00, 354.36 it/sec, feas=True, obj=0.583]
INFO - 10:04:42: 10%|█ | 25/250 [00:00<00:00, 354.09 it/sec, feas=True, obj=5.71]
INFO - 10:04:42: 10%|█ | 26/250 [00:00<00:00, 353.89 it/sec, feas=True, obj=0.571]
INFO - 10:04:42: 11%|█ | 27/250 [00:00<00:00, 353.25 it/sec, feas=True, obj=1.3]
INFO - 10:04:42: 11%|█ | 28/250 [00:00<00:00, 352.91 it/sec, feas=True, obj=0.57]
INFO - 10:04:42: 12%|█▏ | 29/250 [00:00<00:00, 352.68 it/sec, feas=True, obj=0.936]
INFO - 10:04:42: 12%|█▏ | 30/250 [00:00<00:00, 352.35 it/sec, feas=True, obj=0.569]
INFO - 10:04:42: 12%|█▏ | 31/250 [00:00<00:00, 351.23 it/sec, feas=True, obj=0.871]
INFO - 10:04:42: 13%|█▎ | 32/250 [00:00<00:00, 351.15 it/sec, feas=True, obj=0.569]
INFO - 10:04:42: 13%|█▎ | 33/250 [00:00<00:00, 351.05 it/sec, feas=True, obj=0.822]
INFO - 10:04:42: 14%|█▎ | 34/250 [00:00<00:00, 350.65 it/sec, feas=True, obj=0.569]
INFO - 10:04:42: 14%|█▍ | 35/250 [00:00<00:00, 350.28 it/sec, feas=True, obj=0.796]
INFO - 10:04:42: 14%|█▍ | 36/250 [00:00<00:00, 350.08 it/sec, feas=True, obj=0.569]
INFO - 10:04:42: 15%|█▍ | 37/250 [00:00<00:00, 349.81 it/sec, feas=True, obj=0.779]
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INFO - 10:04:42: 16%|█▌ | 39/250 [00:00<00:00, 349.74 it/sec, feas=True, obj=0.77]
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INFO - 10:04:42: 16%|█▋ | 41/250 [00:00<00:00, 350.32 it/sec, feas=True, obj=0.778]
INFO - 10:04:42: 17%|█▋ | 42/250 [00:00<00:00, 350.61 it/sec, feas=True, obj=0.569]
INFO - 10:04:42: 17%|█▋ | 43/250 [00:00<00:00, 343.77 it/sec, feas=True, obj=0.522]
INFO - 10:04:42: 18%|█▊ | 44/250 [00:00<00:00, 344.20 it/sec, feas=True, obj=0.843]
INFO - 10:04:42: 18%|█▊ | 45/250 [00:00<00:00, 344.61 it/sec, feas=True, obj=0.505]
INFO - 10:04:42: 18%|█▊ | 46/250 [00:00<00:00, 344.33 it/sec, feas=True, obj=1.18]
INFO - 10:04:42: 19%|█▉ | 47/250 [00:00<00:00, 344.30 it/sec, feas=True, obj=0.505]
INFO - 10:04:42: 19%|█▉ | 48/250 [00:00<00:00, 344.35 it/sec, feas=True, obj=0.976]
INFO - 10:04:42: 20%|█▉ | 49/250 [00:00<00:00, 343.59 it/sec, feas=True, obj=0.505]
INFO - 10:04:42: 20%|██ | 50/250 [00:00<00:00, 343.22 it/sec, feas=True, obj=0.964]
INFO - 10:04:42: 20%|██ | 51/250 [00:00<00:00, 342.69 it/sec, feas=True, obj=0.505]
INFO - 10:04:42: 21%|██ | 52/250 [00:00<00:00, 342.30 it/sec, feas=True, obj=1.01]
INFO - 10:04:42: 21%|██ | 53/250 [00:00<00:00, 342.22 it/sec, feas=True, obj=0.505]
INFO - 10:04:42: 22%|██▏ | 54/250 [00:00<00:00, 342.24 it/sec, feas=True, obj=0.974]
INFO - 10:04:42: 22%|██▏ | 55/250 [00:00<00:00, 341.95 it/sec, feas=True, obj=0.505]
INFO - 10:04:42: 22%|██▏ | 56/250 [00:00<00:00, 342.05 it/sec, feas=True, obj=0.662]
INFO - 10:04:42: 23%|██▎ | 57/250 [00:00<00:00, 341.92 it/sec, feas=True, obj=0.503]
INFO - 10:04:42: 23%|██▎ | 58/250 [00:00<00:00, 342.05 it/sec, feas=True, obj=0.636]
INFO - 10:04:42: 24%|██▎ | 59/250 [00:00<00:00, 342.08 it/sec, feas=True, obj=0.503]
INFO - 10:04:42: 24%|██▍ | 60/250 [00:00<00:00, 342.17 it/sec, feas=True, obj=0.599]
INFO - 10:04:42: 24%|██▍ | 61/250 [00:00<00:00, 341.19 it/sec, feas=True, obj=0.503]
INFO - 10:04:42: 25%|██▍ | 62/250 [00:00<00:00, 341.33 it/sec, feas=True, obj=0.594]
INFO - 10:04:42: 25%|██▌ | 63/250 [00:00<00:00, 341.57 it/sec, feas=True, obj=0.503]
INFO - 10:04:42: 26%|██▌ | 64/250 [00:00<00:00, 341.61 it/sec, feas=True, obj=0.469]
INFO - 10:04:42: 26%|██▌ | 65/250 [00:00<00:00, 341.89 it/sec, feas=True, obj=0.433]
INFO - 10:04:42: 26%|██▋ | 66/250 [00:00<00:00, 342.28 it/sec, feas=True, obj=0.428]
INFO - 10:04:42: 27%|██▋ | 67/250 [00:00<00:00, 341.24 it/sec, feas=True, obj=0.413]
INFO - 10:04:42: 27%|██▋ | 68/250 [00:00<00:00, 341.53 it/sec, feas=True, obj=0.402]
INFO - 10:04:42: 28%|██▊ | 69/250 [00:00<00:00, 341.80 it/sec, feas=True, obj=0.384]
INFO - 10:04:42: 28%|██▊ | 70/250 [00:00<00:00, 342.11 it/sec, feas=True, obj=0.28]
INFO - 10:04:42: 28%|██▊ | 71/250 [00:00<00:00, 342.38 it/sec, feas=True, obj=0.25]
INFO - 10:04:42: 29%|██▉ | 72/250 [00:00<00:00, 342.70 it/sec, feas=True, obj=1.74]
INFO - 10:04:42: 29%|██▉ | 73/250 [00:00<00:00, 342.98 it/sec, feas=True, obj=0.214]
INFO - 10:04:42: 30%|██▉ | 74/250 [00:00<00:00, 343.33 it/sec, feas=True, obj=0.191]
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INFO - 10:04:42: 30%|███ | 76/250 [00:00<00:00, 343.78 it/sec, feas=True, obj=0.184]
INFO - 10:04:42: 31%|███ | 77/250 [00:00<00:00, 344.03 it/sec, feas=True, obj=0.184]
INFO - 10:04:42: 31%|███ | 78/250 [00:00<00:00, 344.38 it/sec, feas=True, obj=0.184]
INFO - 10:04:42: 32%|███▏ | 79/250 [00:00<00:00, 344.59 it/sec, feas=True, obj=0.184]
INFO - 10:04:42: 32%|███▏ | 80/250 [00:00<00:00, 344.87 it/sec, feas=True, obj=0.185]
INFO - 10:04:42: 32%|███▏ | 81/250 [00:00<00:00, 345.14 it/sec, feas=True, obj=0.182]
INFO - 10:04:42: 33%|███▎ | 82/250 [00:00<00:00, 345.35 it/sec, feas=True, obj=0.199]
INFO - 10:04:42: 33%|███▎ | 83/250 [00:00<00:00, 345.52 it/sec, feas=True, obj=0.181]
INFO - 10:04:42: 34%|███▎ | 84/250 [00:00<00:00, 345.70 it/sec, feas=True, obj=0.179]
INFO - 10:04:42: 34%|███▍ | 85/250 [00:00<00:00, 346.01 it/sec, feas=True, obj=0.179]
INFO - 10:04:42: 34%|███▍ | 86/250 [00:00<00:00, 346.17 it/sec, feas=True, obj=0.178]
INFO - 10:04:42: 35%|███▍ | 87/250 [00:00<00:00, 346.31 it/sec, feas=True, obj=0.178]
INFO - 10:04:42: 35%|███▌ | 88/250 [00:00<00:00, 346.56 it/sec, feas=True, obj=0.179]
INFO - 10:04:42: 36%|███▌ | 89/250 [00:00<00:00, 346.77 it/sec, feas=True, obj=0.177]
INFO - 10:04:42: 36%|███▌ | 90/250 [00:00<00:00, 346.94 it/sec, feas=True, obj=0.176]
INFO - 10:04:42: 36%|███▋ | 91/250 [00:00<00:00, 347.06 it/sec, feas=True, obj=0.174]
INFO - 10:04:42: 37%|███▋ | 92/250 [00:00<00:00, 347.29 it/sec, feas=True, obj=0.224]
INFO - 10:04:42: 37%|███▋ | 93/250 [00:00<00:00, 347.46 it/sec, feas=True, obj=0.174]
INFO - 10:04:42: 38%|███▊ | 94/250 [00:00<00:00, 347.66 it/sec, feas=True, obj=0.201]
INFO - 10:04:42: 38%|███▊ | 95/250 [00:00<00:00, 347.79 it/sec, feas=True, obj=0.174]
INFO - 10:04:42: 38%|███▊ | 96/250 [00:00<00:00, 348.02 it/sec, feas=True, obj=0.2]
INFO - 10:04:42: 39%|███▉ | 97/250 [00:00<00:00, 348.22 it/sec, feas=True, obj=0.174]
INFO - 10:04:42: 39%|███▉ | 98/250 [00:00<00:00, 348.39 it/sec, feas=True, obj=0.2]
INFO - 10:04:42: 40%|███▉ | 99/250 [00:00<00:00, 348.55 it/sec, feas=True, obj=0.174]
INFO - 10:04:42: 40%|████ | 100/250 [00:00<00:00, 348.79 it/sec, feas=True, obj=0.2]
INFO - 10:04:42: 40%|████ | 101/250 [00:00<00:00, 348.95 it/sec, feas=True, obj=0.174]
INFO - 10:04:42: 41%|████ | 102/250 [00:00<00:00, 348.77 it/sec, feas=True, obj=0.173]
INFO - 10:04:42: 41%|████ | 103/250 [00:00<00:00, 348.73 it/sec, feas=True, obj=0.173]
INFO - 10:04:42: 42%|████▏ | 104/250 [00:00<00:00, 348.69 it/sec, feas=True, obj=0.173]
INFO - 10:04:42: 42%|████▏ | 105/250 [00:00<00:00, 348.26 it/sec, feas=True, obj=0.173]
INFO - 10:04:43: 42%|████▏ | 106/250 [00:00<00:00, 348.26 it/sec, feas=True, obj=0.173]
INFO - 10:04:43: 43%|████▎ | 107/250 [00:00<00:00, 348.34 it/sec, feas=True, obj=0.173]
INFO - 10:04:43: 43%|████▎ | 108/250 [00:00<00:00, 348.49 it/sec, feas=True, obj=0.17]
INFO - 10:04:43: 44%|████▎ | 109/250 [00:00<00:00, 348.55 it/sec, feas=True, obj=0.172]
INFO - 10:04:43: 44%|████▍ | 110/250 [00:00<00:00, 348.64 it/sec, feas=True, obj=0.17]
INFO - 10:04:43: 44%|████▍ | 111/250 [00:00<00:00, 348.81 it/sec, feas=True, obj=8.17e+9]
INFO - 10:04:43: 45%|████▍ | 112/250 [00:00<00:00, 348.98 it/sec, feas=True, obj=0.193]
INFO - 10:04:43: 45%|████▌ | 113/250 [00:00<00:00, 349.13 it/sec, feas=True, obj=0.17]
INFO - 10:04:43: 46%|████▌ | 114/250 [00:00<00:00, 349.24 it/sec, feas=True, obj=0.17]
INFO - 10:04:43: 46%|████▌ | 115/250 [00:00<00:00, 349.32 it/sec, feas=True, obj=0.17]
INFO - 10:04:43: 46%|████▋ | 116/250 [00:00<00:00, 349.46 it/sec, feas=True, obj=1.3e+4]
INFO - 10:04:43: 47%|████▋ | 117/250 [00:00<00:00, 349.66 it/sec, feas=True, obj=0.185]
INFO - 10:04:43: 47%|████▋ | 118/250 [00:00<00:00, 349.82 it/sec, feas=True, obj=0.169]
INFO - 10:04:43: 48%|████▊ | 119/250 [00:00<00:00, 349.97 it/sec, feas=True, obj=0.168]
INFO - 10:04:43: 48%|████▊ | 120/250 [00:00<00:00, 350.06 it/sec, feas=True, obj=0.168]
INFO - 10:04:43: 48%|████▊ | 121/250 [00:00<00:00, 350.14 it/sec, feas=True, obj=0.168]
INFO - 10:04:43: 49%|████▉ | 122/250 [00:00<00:00, 350.20 it/sec, feas=True, obj=0.168]
INFO - 10:04:43: 49%|████▉ | 123/250 [00:00<00:00, 350.25 it/sec, feas=True, obj=4.28e+4]
INFO - 10:04:43: 50%|████▉ | 124/250 [00:00<00:00, 350.34 it/sec, feas=True, obj=0.206]
INFO - 10:04:43: 50%|█████ | 125/250 [00:00<00:00, 350.41 it/sec, feas=True, obj=0.166]
INFO - 10:04:43: 50%|█████ | 126/250 [00:00<00:00, 350.48 it/sec, feas=True, obj=2.64]
INFO - 10:04:43: 51%|█████ | 127/250 [00:00<00:00, 350.54 it/sec, feas=True, obj=0.166]
INFO - 10:04:43: 51%|█████ | 128/250 [00:00<00:00, 350.57 it/sec, feas=True, obj=0.166]
INFO - 10:04:43: 52%|█████▏ | 129/250 [00:00<00:00, 350.66 it/sec, feas=True, obj=6.42e+9]
INFO - 10:04:43: 52%|█████▏ | 130/250 [00:00<00:00, 350.58 it/sec, feas=True, obj=0.186]
INFO - 10:04:43: 52%|█████▏ | 131/250 [00:00<00:00, 350.39 it/sec, feas=True, obj=0.164]
INFO - 10:04:43: 53%|█████▎ | 132/250 [00:00<00:00, 350.06 it/sec, feas=True, obj=0.166]
INFO - 10:04:43: 53%|█████▎ | 133/250 [00:00<00:00, 350.10 it/sec, feas=True, obj=0.163]
INFO - 10:04:43: 54%|█████▎ | 134/250 [00:00<00:00, 350.04 it/sec, feas=True, obj=0.163]
INFO - 10:04:43: 54%|█████▍ | 135/250 [00:00<00:00, 350.06 it/sec, feas=True, obj=4.65e+7]
INFO - 10:04:43: 54%|█████▍ | 136/250 [00:00<00:00, 349.93 it/sec, feas=True, obj=0.258]
INFO - 10:04:43: 55%|█████▍ | 137/250 [00:00<00:00, 349.82 it/sec, feas=True, obj=0.162]
INFO - 10:04:43: 55%|█████▌ | 138/250 [00:00<00:00, 349.79 it/sec, feas=True, obj=0.235]
INFO - 10:04:43: 56%|█████▌ | 139/250 [00:00<00:00, 349.69 it/sec, feas=True, obj=0.166]
INFO - 10:04:43: 56%|█████▌ | 140/250 [00:00<00:00, 349.62 it/sec, feas=True, obj=0.162]
INFO - 10:04:43: 56%|█████▋ | 141/250 [00:00<00:00, 349.60 it/sec, feas=True, obj=192]
INFO - 10:04:43: 57%|█████▋ | 142/250 [00:00<00:00, 349.55 it/sec, feas=True, obj=0.188]
INFO - 10:04:43: 57%|█████▋ | 143/250 [00:00<00:00, 349.47 it/sec, feas=True, obj=0.161]
INFO - 10:04:43: 58%|█████▊ | 144/250 [00:00<00:00, 349.30 it/sec, feas=True, obj=0.406]
INFO - 10:04:43: 58%|█████▊ | 145/250 [00:00<00:00, 349.26 it/sec, feas=True, obj=0.161]
INFO - 10:04:43: 58%|█████▊ | 146/250 [00:00<00:00, 349.20 it/sec, feas=True, obj=0.161]
INFO - 10:04:43: 59%|█████▉ | 147/250 [00:00<00:00, 349.04 it/sec, feas=True, obj=0.16]
INFO - 10:04:43: 59%|█████▉ | 148/250 [00:00<00:00, 348.91 it/sec, feas=True, obj=0.16]
INFO - 10:04:43: 60%|█████▉ | 149/250 [00:00<00:00, 348.84 it/sec, feas=True, obj=0.159]
INFO - 10:04:43: 60%|██████ | 150/250 [00:00<00:00, 348.72 it/sec, feas=True, obj=0.312]
INFO - 10:04:43: 60%|██████ | 151/250 [00:00<00:00, 348.69 it/sec, feas=True, obj=0.159]
INFO - 10:04:43: 61%|██████ | 152/250 [00:00<00:00, 348.59 it/sec, feas=True, obj=0.158]
INFO - 10:04:43: 61%|██████ | 153/250 [00:00<00:00, 348.39 it/sec, feas=True, obj=0.158]
INFO - 10:04:43: 62%|██████▏ | 154/250 [00:00<00:00, 348.34 it/sec, feas=True, obj=0.157]
INFO - 10:04:43: 62%|██████▏ | 155/250 [00:00<00:00, 348.36 it/sec, feas=True, obj=0.158]
INFO - 10:04:43: 62%|██████▏ | 156/250 [00:00<00:00, 348.28 it/sec, feas=True, obj=0.156]
INFO - 10:04:43: 63%|██████▎ | 157/250 [00:00<00:00, 348.27 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 63%|██████▎ | 158/250 [00:00<00:00, 348.33 it/sec, feas=True, obj=0.169]
INFO - 10:04:43: 64%|██████▎ | 159/250 [00:00<00:00, 348.39 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 64%|██████▍ | 160/250 [00:00<00:00, 348.45 it/sec, feas=True, obj=0.157]
INFO - 10:04:43: 64%|██████▍ | 161/250 [00:00<00:00, 347.03 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 65%|██████▍ | 162/250 [00:00<00:00, 347.05 it/sec, feas=True, obj=0.155]
INFO - 10:04:43: 65%|██████▌ | 163/250 [00:00<00:00, 347.06 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 66%|██████▌ | 164/250 [00:00<00:00, 347.04 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: 66%|██████▌ | 165/250 [00:00<00:00, 347.00 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: 66%|██████▋ | 166/250 [00:00<00:00, 346.96 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: 67%|██████▋ | 167/250 [00:00<00:00, 346.93 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: 67%|██████▋ | 168/250 [00:00<00:00, 346.90 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: 68%|██████▊ | 169/250 [00:00<00:00, 346.90 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: 68%|██████▊ | 170/250 [00:00<00:00, 346.83 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: 68%|██████▊ | 171/250 [00:00<00:00, 346.81 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: 69%|██████▉ | 172/250 [00:00<00:00, 346.80 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: 69%|██████▉ | 173/250 [00:00<00:00, 346.91 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: 70%|██████▉ | 174/250 [00:00<00:00, 346.00 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: 70%|███████ | 175/250 [00:00<00:00, 345.99 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: 70%|███████ | 176/250 [00:00<00:00, 345.97 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: 71%|███████ | 177/250 [00:00<00:00, 345.96 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: Optimization result:
INFO - 10:04:43: Optimizer info:
INFO - 10:04:43: Status: None
INFO - 10:04:43: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:43: Solution:
INFO - 10:04:43: Objective: 0.15302499939590591
INFO - 10:04:43: Design space:
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | left_asymptote | 0 | 0 | 0.003526030637650995 | float |
INFO - 10:04:43: | capacity | 2.354639862275782e-05 | 0.03526007877790244 | 0.03526030637650995 | float |
INFO - 10:04:43: | growth_rate | 5.485438714492993e-05 | 0.0003527329146442961 | 0.0004936894843043693 | float |
INFO - 10:04:43: | x_lag | 0 | 0 | 10143.8602060373 | float |
INFO - 10:04:43: | logistic_nu | 0.1 | 0.1802825611071042 | 10 | float |
INFO - 10:04:43: | asymptote_coeff | 0.1 | 1.517912562359047 | 10 | float |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: Optimization problem:
INFO - 10:04:43: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:43: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:43: over the design space:
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | left_asymptote | 0 | 0.0001451696403266392 | 0.003526030637650995 | float |
INFO - 10:04:43: | capacity | 2.354639862275782e-05 | 0.008790001541378016 | 0.03526030637650995 | float |
INFO - 10:04:43: | growth_rate | 5.485438714492993e-05 | 0.0003106556272163161 | 0.0004936894843043693 | float |
INFO - 10:04:43: | x_lag | 0 | 6307.996191102108 | 10143.8602060373 | float |
INFO - 10:04:43: | logistic_nu | 0.1 | 5.62268233127262 | 10 | float |
INFO - 10:04:43: | asymptote_coeff | 0.1 | 8.355177201624285 | 10 | float |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:43: 1%| | 2/250 [00:00<00:00, 369.75 it/sec, feas=True, obj=1]
INFO - 10:04:43: 1%| | 3/250 [00:00<00:00, 380.85 it/sec, feas=True, obj=0.936]
INFO - 10:04:43: 2%|▏ | 4/250 [00:00<00:00, 371.30 it/sec, feas=True, obj=0.844]
INFO - 10:04:43: 2%|▏ | 5/250 [00:00<00:00, 366.39 it/sec, feas=True, obj=0.76]
INFO - 10:04:43: 2%|▏ | 6/250 [00:00<00:00, 325.92 it/sec, feas=True, obj=0.76]
INFO - 10:04:43: 3%|▎ | 7/250 [00:00<00:00, 331.24 it/sec, feas=True, obj=0.76]
INFO - 10:04:43: 3%|▎ | 8/250 [00:00<00:00, 332.48 it/sec, feas=True, obj=0.76]
INFO - 10:04:43: 4%|▎ | 9/250 [00:00<00:00, 334.12 it/sec, feas=True, obj=0.76]
INFO - 10:04:43: 4%|▍ | 10/250 [00:00<00:00, 334.90 it/sec, feas=True, obj=0.76]
INFO - 10:04:43: 4%|▍ | 11/250 [00:00<00:00, 335.97 it/sec, feas=True, obj=0.76]
INFO - 10:04:43: 5%|▍ | 12/250 [00:00<00:00, 336.94 it/sec, feas=True, obj=0.76]
INFO - 10:04:43: 5%|▌ | 13/250 [00:00<00:00, 337.54 it/sec, feas=True, obj=0.76]
INFO - 10:04:43: 6%|▌ | 14/250 [00:00<00:00, 339.34 it/sec, feas=True, obj=0.76]
INFO - 10:04:43: 6%|▌ | 15/250 [00:00<00:00, 341.16 it/sec, feas=True, obj=0.76]
INFO - 10:04:43: 6%|▋ | 16/250 [00:00<00:00, 342.39 it/sec, feas=True, obj=0.76]
INFO - 10:04:43: Optimization result:
INFO - 10:04:43: Optimizer info:
INFO - 10:04:43: Status: None
INFO - 10:04:43: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:43: Solution:
INFO - 10:04:43: Objective: 0.7597554223541945
INFO - 10:04:43: Design space:
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | left_asymptote | 0 | 0.0008724319312784984 | 0.003526030637650995 | float |
INFO - 10:04:43: | capacity | 2.354639862275782e-05 | 8.178866204471846e-05 | 0.03526030637650995 | float |
INFO - 10:04:43: | growth_rate | 5.485438714492993e-05 | 0.0004905604639518065 | 0.0004936894843043693 | float |
INFO - 10:04:43: | x_lag | 0 | 10081.58545391028 | 10143.8602060373 | float |
INFO - 10:04:43: | logistic_nu | 0.1 | 0.12645360455624 | 10 | float |
INFO - 10:04:43: | asymptote_coeff | 0.1 | 9.975908342403342 | 10 | float |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: Optimization problem:
INFO - 10:04:43: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:43: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:43: over the design space:
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | left_asymptote | 0 | 0.003144509706475041 | 0.003526030637650995 | float |
INFO - 10:04:43: | capacity | 2.354639862275782e-05 | 0.02118804735580315 | 0.03526030637650995 | float |
INFO - 10:04:43: | growth_rate | 5.485438714492993e-05 | 0.0004190807296436529 | 0.0004936894843043693 | float |
INFO - 10:04:43: | x_lag | 0 | 5495.693479583795 | 10143.8602060373 | float |
INFO - 10:04:43: | logistic_nu | 0.1 | 0.8873151181548338 | 10 | float |
INFO - 10:04:43: | asymptote_coeff | 0.1 | 3.019796092071068 | 10 | float |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:43: 1%| | 2/250 [00:00<00:00, 395.41 it/sec, feas=True, obj=1]
INFO - 10:04:43: 1%| | 3/250 [00:00<00:00, 408.34 it/sec, feas=True, obj=0.761]
INFO - 10:04:43: 2%|▏ | 4/250 [00:00<00:00, 396.21 it/sec, feas=True, obj=0.76]
INFO - 10:04:43: 2%|▏ | 5/250 [00:00<00:00, 379.84 it/sec, feas=True, obj=0.76]
INFO - 10:04:43: 2%|▏ | 6/250 [00:00<00:00, 375.36 it/sec, feas=True, obj=0.76]
INFO - 10:04:43: Optimization result:
INFO - 10:04:43: Optimizer info:
INFO - 10:04:43: Status: 0
INFO - 10:04:43: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:43: Solution:
INFO - 10:04:43: Objective: 0.759755421538406
INFO - 10:04:43: Design space:
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | left_asymptote | 0 | 0.0008724314157947675 | 0.003526030637650995 | float |
INFO - 10:04:43: | capacity | 2.354639862275782e-05 | 0.005443458365433904 | 0.03526030637650995 | float |
INFO - 10:04:43: | growth_rate | 5.485438714492993e-05 | 0.0004747009476849636 | 0.0004936894843043693 | float |
INFO - 10:04:43: | x_lag | 0 | 8961.561318729231 | 10143.8602060373 | float |
INFO - 10:04:43: | logistic_nu | 0.1 | 0.1000009198473433 | 10 | float |
INFO - 10:04:43: | asymptote_coeff | 0.1 | 8.211723890528043 | 10 | float |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: Optimization problem:
INFO - 10:04:43: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:43: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:43: over the design space:
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | left_asymptote | 0 | 0.001900989625622368 | 0.003526030637650995 | float |
INFO - 10:04:43: | capacity | 2.354639862275782e-05 | 0.02948475377459463 | 0.03526030637650995 | float |
INFO - 10:04:43: | growth_rate | 5.485438714492993e-05 | 0.0003656461361759282 | 0.0004936894843043693 | float |
INFO - 10:04:43: | x_lag | 0 | 5830.189457279635 | 10143.8602060373 | float |
INFO - 10:04:43: | logistic_nu | 0.1 | 9.519289087607232 | 10 | float |
INFO - 10:04:43: | asymptote_coeff | 0.1 | 9.085777545900603 | 10 | float |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:43: 1%| | 2/249 [00:00<00:00, 378.39 it/sec, feas=True, obj=1]
INFO - 10:04:43: 1%| | 3/249 [00:00<00:00, 392.46 it/sec, feas=True, obj=0.823]
INFO - 10:04:43: 2%|▏ | 4/249 [00:00<00:00, 386.36 it/sec, feas=True, obj=0.78]
INFO - 10:04:43: 2%|▏ | 5/249 [00:00<00:00, 381.39 it/sec, feas=True, obj=0.745]
INFO - 10:04:43: 2%|▏ | 6/249 [00:00<00:00, 378.16 it/sec, feas=True, obj=1.53]
INFO - 10:04:43: 3%|▎ | 7/249 [00:00<00:00, 373.92 it/sec, feas=True, obj=0.725]
INFO - 10:04:43: 3%|▎ | 8/249 [00:00<00:00, 373.30 it/sec, feas=True, obj=0.975]
INFO - 10:04:43: 4%|▎ | 9/249 [00:00<00:00, 371.92 it/sec, feas=True, obj=0.709]
INFO - 10:04:43: 4%|▍ | 10/249 [00:00<00:00, 370.84 it/sec, feas=True, obj=0.688]
INFO - 10:04:43: 4%|▍ | 11/249 [00:00<00:00, 370.53 it/sec, feas=True, obj=0.628]
INFO - 10:04:43: 5%|▍ | 12/249 [00:00<00:00, 370.25 it/sec, feas=True, obj=0.567]
INFO - 10:04:43: 5%|▌ | 13/249 [00:00<00:00, 369.89 it/sec, feas=True, obj=0.448]
INFO - 10:04:43: 6%|▌ | 14/249 [00:00<00:00, 369.29 it/sec, feas=True, obj=0.44]
INFO - 10:04:43: 6%|▌ | 15/249 [00:00<00:00, 368.92 it/sec, feas=True, obj=0.352]
INFO - 10:04:43: 6%|▋ | 16/249 [00:00<00:00, 369.02 it/sec, feas=True, obj=0.952]
INFO - 10:04:43: 7%|▋ | 17/249 [00:00<00:00, 368.56 it/sec, feas=True, obj=0.341]
INFO - 10:04:43: 7%|▋ | 18/249 [00:00<00:00, 368.28 it/sec, feas=True, obj=0.363]
INFO - 10:04:43: 8%|▊ | 19/249 [00:00<00:00, 368.07 it/sec, feas=True, obj=0.32]
INFO - 10:04:43: 8%|▊ | 20/249 [00:00<00:00, 367.86 it/sec, feas=True, obj=0.303]
INFO - 10:04:43: 8%|▊ | 21/249 [00:00<00:00, 367.41 it/sec, feas=True, obj=0.216]
INFO - 10:04:43: 9%|▉ | 22/249 [00:00<00:00, 367.02 it/sec, feas=True, obj=0.199]
INFO - 10:04:43: 9%|▉ | 23/249 [00:00<00:00, 366.74 it/sec, feas=True, obj=0.186]
INFO - 10:04:43: 10%|▉ | 24/249 [00:00<00:00, 366.10 it/sec, feas=True, obj=0.188]
INFO - 10:04:43: 10%|█ | 25/249 [00:00<00:00, 366.12 it/sec, feas=True, obj=0.183]
INFO - 10:04:43: 10%|█ | 26/249 [00:00<00:00, 365.80 it/sec, feas=True, obj=0.183]
INFO - 10:04:43: 11%|█ | 27/249 [00:00<00:00, 365.48 it/sec, feas=True, obj=0.182]
INFO - 10:04:43: 11%|█ | 28/249 [00:00<00:00, 365.13 it/sec, feas=True, obj=0.182]
INFO - 10:04:43: 12%|█▏ | 29/249 [00:00<00:00, 365.03 it/sec, feas=True, obj=0.181]
INFO - 10:04:43: 12%|█▏ | 30/249 [00:00<00:00, 364.75 it/sec, feas=True, obj=0.18]
INFO - 10:04:43: 12%|█▏ | 31/249 [00:00<00:00, 364.32 it/sec, feas=True, obj=0.178]
INFO - 10:04:43: 13%|█▎ | 32/249 [00:00<00:00, 364.20 it/sec, feas=True, obj=0.184]
INFO - 10:04:43: 13%|█▎ | 33/249 [00:00<00:00, 363.62 it/sec, feas=True, obj=0.178]
INFO - 10:04:43: 14%|█▎ | 34/249 [00:00<00:00, 363.10 it/sec, feas=True, obj=0.177]
INFO - 10:04:43: 14%|█▍ | 35/249 [00:00<00:00, 361.73 it/sec, feas=True, obj=0.177]
INFO - 10:04:43: 14%|█▍ | 36/249 [00:00<00:00, 360.83 it/sec, feas=True, obj=0.177]
INFO - 10:04:43: 15%|█▍ | 37/249 [00:00<00:00, 360.79 it/sec, feas=True, obj=0.177]
INFO - 10:04:43: 15%|█▌ | 38/249 [00:00<00:00, 360.82 it/sec, feas=True, obj=0.177]
INFO - 10:04:43: 16%|█▌ | 39/249 [00:00<00:00, 360.37 it/sec, feas=True, obj=0.176]
INFO - 10:04:43: 16%|█▌ | 40/249 [00:00<00:00, 360.11 it/sec, feas=True, obj=0.203]
INFO - 10:04:43: 16%|█▋ | 41/249 [00:00<00:00, 359.75 it/sec, feas=True, obj=0.176]
INFO - 10:04:43: 17%|█▋ | 42/249 [00:00<00:00, 359.31 it/sec, feas=True, obj=0.175]
INFO - 10:04:43: 17%|█▋ | 43/249 [00:00<00:00, 359.12 it/sec, feas=True, obj=0.206]
INFO - 10:04:43: 18%|█▊ | 44/249 [00:00<00:00, 358.83 it/sec, feas=True, obj=0.175]
INFO - 10:04:43: 18%|█▊ | 45/249 [00:00<00:00, 358.77 it/sec, feas=True, obj=0.218]
INFO - 10:04:43: 18%|█▊ | 46/249 [00:00<00:00, 358.60 it/sec, feas=True, obj=0.174]
INFO - 10:04:43: 19%|█▉ | 47/249 [00:00<00:00, 358.49 it/sec, feas=True, obj=0.174]
INFO - 10:04:43: 19%|█▉ | 48/249 [00:00<00:00, 358.49 it/sec, feas=True, obj=0.174]
INFO - 10:04:43: 20%|█▉ | 49/249 [00:00<00:00, 358.56 it/sec, feas=True, obj=0.174]
INFO - 10:04:43: 20%|██ | 50/249 [00:00<00:00, 358.59 it/sec, feas=True, obj=0.174]
INFO - 10:04:43: 20%|██ | 51/249 [00:00<00:00, 358.52 it/sec, feas=True, obj=0.173]
INFO - 10:04:43: 21%|██ | 52/249 [00:00<00:00, 358.47 it/sec, feas=True, obj=0.177]
INFO - 10:04:43: 21%|██▏ | 53/249 [00:00<00:00, 358.40 it/sec, feas=True, obj=0.172]
INFO - 10:04:43: 22%|██▏ | 54/249 [00:00<00:00, 358.31 it/sec, feas=True, obj=671]
INFO - 10:04:43: 22%|██▏ | 55/249 [00:00<00:00, 358.60 it/sec, feas=True, obj=0.193]
INFO - 10:04:43: 22%|██▏ | 56/249 [00:00<00:00, 358.40 it/sec, feas=True, obj=0.171]
INFO - 10:04:43: 23%|██▎ | 57/249 [00:00<00:00, 358.30 it/sec, feas=True, obj=1.37e+10]
INFO - 10:04:43: 23%|██▎ | 58/249 [00:00<00:00, 358.20 it/sec, feas=True, obj=0.223]
INFO - 10:04:43: 24%|██▎ | 59/249 [00:00<00:00, 357.99 it/sec, feas=True, obj=0.171]
INFO - 10:04:43: 24%|██▍ | 60/249 [00:00<00:00, 357.84 it/sec, feas=True, obj=1.05e+10]
INFO - 10:04:43: 24%|██▍ | 61/249 [00:00<00:00, 357.75 it/sec, feas=True, obj=0.222]
INFO - 10:04:43: 25%|██▍ | 62/249 [00:00<00:00, 357.69 it/sec, feas=True, obj=0.171]
INFO - 10:04:43: 25%|██▌ | 63/249 [00:00<00:00, 357.57 it/sec, feas=True, obj=8.76e+9]
INFO - 10:04:43: 26%|██▌ | 64/249 [00:00<00:00, 357.51 it/sec, feas=True, obj=0.223]
INFO - 10:04:43: 26%|██▌ | 65/249 [00:00<00:00, 357.48 it/sec, feas=True, obj=0.171]
INFO - 10:04:43: 27%|██▋ | 66/249 [00:00<00:00, 357.38 it/sec, feas=True, obj=8.3e+9]
INFO - 10:04:43: 27%|██▋ | 67/249 [00:00<00:00, 357.30 it/sec, feas=True, obj=0.224]
INFO - 10:04:43: 27%|██▋ | 68/249 [00:00<00:00, 357.28 it/sec, feas=True, obj=0.171]
INFO - 10:04:43: 28%|██▊ | 69/249 [00:00<00:00, 357.24 it/sec, feas=True, obj=8.18e+9]
INFO - 10:04:43: 28%|██▊ | 70/249 [00:00<00:00, 357.14 it/sec, feas=True, obj=0.224]
INFO - 10:04:43: 29%|██▊ | 71/249 [00:00<00:00, 357.01 it/sec, feas=True, obj=0.171]
INFO - 10:04:43: 29%|██▉ | 72/249 [00:00<00:00, 356.98 it/sec, feas=True, obj=8.16e+9]
INFO - 10:04:43: 29%|██▉ | 73/249 [00:00<00:00, 357.20 it/sec, feas=True, obj=0.224]
INFO - 10:04:43: 30%|██▉ | 74/249 [00:00<00:00, 357.06 it/sec, feas=True, obj=0.171]
INFO - 10:04:43: 30%|███ | 75/249 [00:00<00:00, 357.00 it/sec, feas=True, obj=8.15e+9]
INFO - 10:04:43: 31%|███ | 76/249 [00:00<00:00, 356.92 it/sec, feas=True, obj=0.224]
INFO - 10:04:43: 31%|███ | 77/249 [00:00<00:00, 356.58 it/sec, feas=True, obj=0.171]
INFO - 10:04:43: 31%|███▏ | 78/249 [00:00<00:00, 356.69 it/sec, feas=True, obj=8.15e+9]
INFO - 10:04:43: 32%|███▏ | 79/249 [00:00<00:00, 356.64 it/sec, feas=True, obj=0.224]
INFO - 10:04:43: 32%|███▏ | 80/249 [00:00<00:00, 356.55 it/sec, feas=True, obj=0.171]
INFO - 10:04:43: 33%|███▎ | 81/249 [00:00<00:00, 356.65 it/sec, feas=True, obj=8.14e+9]
INFO - 10:04:43: 33%|███▎ | 82/249 [00:00<00:00, 356.71 it/sec, feas=True, obj=0.224]
INFO - 10:04:43: 33%|███▎ | 83/249 [00:00<00:00, 356.68 it/sec, feas=True, obj=0.171]
INFO - 10:04:43: 34%|███▎ | 84/249 [00:00<00:00, 356.79 it/sec, feas=True, obj=8.14e+9]
INFO - 10:04:43: 34%|███▍ | 85/249 [00:00<00:00, 356.87 it/sec, feas=True, obj=0.224]
INFO - 10:04:43: 35%|███▍ | 86/249 [00:00<00:00, 356.85 it/sec, feas=True, obj=0.171]
INFO - 10:04:43: 35%|███▍ | 87/249 [00:00<00:00, 356.89 it/sec, feas=True, obj=3.38e+3]
INFO - 10:04:43: 35%|███▌ | 88/249 [00:00<00:00, 356.95 it/sec, feas=True, obj=0.186]
INFO - 10:04:43: 36%|███▌ | 89/249 [00:00<00:00, 356.93 it/sec, feas=True, obj=0.169]
INFO - 10:04:43: 36%|███▌ | 90/249 [00:00<00:00, 356.83 it/sec, feas=True, obj=0.169]
INFO - 10:04:43: 37%|███▋ | 91/249 [00:00<00:00, 356.68 it/sec, feas=True, obj=0.169]
INFO - 10:04:43: 37%|███▋ | 92/249 [00:00<00:00, 356.55 it/sec, feas=True, obj=16]
INFO - 10:04:43: 37%|███▋ | 93/249 [00:00<00:00, 356.40 it/sec, feas=True, obj=0.199]
INFO - 10:04:43: 38%|███▊ | 94/249 [00:00<00:00, 356.22 it/sec, feas=True, obj=0.169]
INFO - 10:04:43: 38%|███▊ | 95/249 [00:00<00:00, 356.05 it/sec, feas=True, obj=0.168]
INFO - 10:04:43: 39%|███▊ | 96/249 [00:00<00:00, 355.80 it/sec, feas=True, obj=0.167]
INFO - 10:04:43: 39%|███▉ | 97/249 [00:00<00:00, 355.71 it/sec, feas=True, obj=0.167]
INFO - 10:04:43: 39%|███▉ | 98/249 [00:00<00:00, 355.49 it/sec, feas=True, obj=0.166]
INFO - 10:04:43: 40%|███▉ | 99/249 [00:00<00:00, 355.60 it/sec, feas=True, obj=0.165]
INFO - 10:04:43: 40%|████ | 100/249 [00:00<00:00, 355.65 it/sec, feas=True, obj=0.164]
INFO - 10:04:43: 41%|████ | 101/249 [00:00<00:00, 355.59 it/sec, feas=True, obj=0.176]
INFO - 10:04:43: 41%|████ | 102/249 [00:00<00:00, 354.41 it/sec, feas=True, obj=0.164]
INFO - 10:04:43: 41%|████▏ | 103/249 [00:00<00:00, 354.54 it/sec, feas=True, obj=0.164]
INFO - 10:04:43: 42%|████▏ | 104/249 [00:00<00:00, 354.65 it/sec, feas=True, obj=0.163]
INFO - 10:04:43: 42%|████▏ | 105/249 [00:00<00:00, 354.75 it/sec, feas=True, obj=0.17]
INFO - 10:04:43: 43%|████▎ | 106/249 [00:00<00:00, 354.84 it/sec, feas=True, obj=0.163]
INFO - 10:04:43: 43%|████▎ | 107/249 [00:00<00:00, 354.96 it/sec, feas=True, obj=0.162]
INFO - 10:04:43: 43%|████▎ | 108/249 [00:00<00:00, 355.08 it/sec, feas=True, obj=0.165]
INFO - 10:04:43: 44%|████▍ | 109/249 [00:00<00:00, 355.09 it/sec, feas=True, obj=0.162]
INFO - 10:04:43: 44%|████▍ | 110/249 [00:00<00:00, 355.20 it/sec, feas=True, obj=0.164]
INFO - 10:04:43: 45%|████▍ | 111/249 [00:00<00:00, 355.30 it/sec, feas=True, obj=0.161]
INFO - 10:04:43: 45%|████▍ | 112/249 [00:00<00:00, 355.36 it/sec, feas=True, obj=0.16]
INFO - 10:04:43: 45%|████▌ | 113/249 [00:00<00:00, 355.45 it/sec, feas=True, obj=0.161]
INFO - 10:04:43: 46%|████▌ | 114/249 [00:00<00:00, 355.26 it/sec, feas=True, obj=0.159]
INFO - 10:04:43: 46%|████▌ | 115/249 [00:00<00:00, 355.32 it/sec, feas=True, obj=0.159]
INFO - 10:04:43: 47%|████▋ | 116/249 [00:00<00:00, 355.37 it/sec, feas=True, obj=0.158]
INFO - 10:04:43: 47%|████▋ | 117/249 [00:00<00:00, 355.41 it/sec, feas=True, obj=0.157]
INFO - 10:04:43: 47%|████▋ | 118/249 [00:00<00:00, 355.51 it/sec, feas=True, obj=0.16]
INFO - 10:04:43: 48%|████▊ | 119/249 [00:00<00:00, 355.55 it/sec, feas=True, obj=0.157]
INFO - 10:04:43: 48%|████▊ | 120/249 [00:00<00:00, 355.69 it/sec, feas=True, obj=0.158]
INFO - 10:04:43: 49%|████▊ | 121/249 [00:00<00:00, 355.74 it/sec, feas=True, obj=0.157]
INFO - 10:04:43: 49%|████▉ | 122/249 [00:00<00:00, 355.82 it/sec, feas=True, obj=0.158]
INFO - 10:04:43: 49%|████▉ | 123/249 [00:00<00:00, 355.87 it/sec, feas=True, obj=0.156]
INFO - 10:04:43: 50%|████▉ | 124/249 [00:00<00:00, 355.99 it/sec, feas=True, obj=0.161]
INFO - 10:04:43: 50%|█████ | 125/249 [00:00<00:00, 356.04 it/sec, feas=True, obj=0.156]
INFO - 10:04:43: 51%|█████ | 126/249 [00:00<00:00, 356.08 it/sec, feas=True, obj=0.155]
INFO - 10:04:43: 51%|█████ | 127/249 [00:00<00:00, 356.14 it/sec, feas=True, obj=0.155]
INFO - 10:04:43: 51%|█████▏ | 128/249 [00:00<00:00, 355.99 it/sec, feas=True, obj=0.155]
INFO - 10:04:43: 52%|█████▏ | 129/249 [00:00<00:00, 355.91 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 52%|█████▏ | 130/249 [00:00<00:00, 355.96 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 53%|█████▎ | 131/249 [00:00<00:00, 356.04 it/sec, feas=True, obj=0.182]
INFO - 10:04:43: 53%|█████▎ | 132/249 [00:00<00:00, 355.94 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 53%|█████▎ | 133/249 [00:00<00:00, 356.03 it/sec, feas=True, obj=0.184]
INFO - 10:04:43: 54%|█████▍ | 134/249 [00:00<00:00, 356.11 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 54%|█████▍ | 135/249 [00:00<00:00, 356.19 it/sec, feas=True, obj=0.183]
INFO - 10:04:43: 55%|█████▍ | 136/249 [00:00<00:00, 356.22 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 55%|█████▌ | 137/249 [00:00<00:00, 356.17 it/sec, feas=True, obj=0.183]
INFO - 10:04:43: 55%|█████▌ | 138/249 [00:00<00:00, 356.23 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 56%|█████▌ | 139/249 [00:00<00:00, 356.30 it/sec, feas=True, obj=0.183]
INFO - 10:04:43: 56%|█████▌ | 140/249 [00:00<00:00, 356.19 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 57%|█████▋ | 141/249 [00:00<00:00, 356.24 it/sec, feas=True, obj=0.183]
INFO - 10:04:43: 57%|█████▋ | 142/249 [00:00<00:00, 356.22 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 57%|█████▋ | 143/249 [00:00<00:00, 356.15 it/sec, feas=True, obj=0.183]
INFO - 10:04:43: 58%|█████▊ | 144/249 [00:00<00:00, 356.16 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 58%|█████▊ | 145/249 [00:00<00:00, 356.21 it/sec, feas=True, obj=0.183]
INFO - 10:04:43: 59%|█████▊ | 146/249 [00:00<00:00, 356.12 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 59%|█████▉ | 147/249 [00:00<00:00, 356.09 it/sec, feas=True, obj=0.183]
INFO - 10:04:43: 59%|█████▉ | 148/249 [00:00<00:00, 356.02 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 60%|█████▉ | 149/249 [00:00<00:00, 356.00 it/sec, feas=True, obj=0.183]
INFO - 10:04:43: 60%|██████ | 150/249 [00:00<00:00, 355.94 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 61%|██████ | 151/249 [00:00<00:00, 355.91 it/sec, feas=True, obj=0.183]
INFO - 10:04:43: 61%|██████ | 152/249 [00:00<00:00, 355.80 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 61%|██████▏ | 153/249 [00:00<00:00, 355.67 it/sec, feas=True, obj=0.183]
INFO - 10:04:43: 62%|██████▏ | 154/249 [00:00<00:00, 355.70 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 62%|██████▏ | 155/249 [00:00<00:00, 355.77 it/sec, feas=True, obj=0.183]
INFO - 10:04:43: 63%|██████▎ | 156/249 [00:00<00:00, 355.83 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 63%|██████▎ | 157/249 [00:00<00:00, 355.80 it/sec, feas=True, obj=0.183]
INFO - 10:04:43: 63%|██████▎ | 158/249 [00:00<00:00, 355.75 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 64%|██████▍ | 159/249 [00:00<00:00, 355.70 it/sec, feas=True, obj=0.183]
INFO - 10:04:43: 64%|██████▍ | 160/249 [00:00<00:00, 355.62 it/sec, feas=True, obj=0.154]
INFO - 10:04:43: 65%|██████▍ | 161/249 [00:00<00:00, 355.51 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: 65%|██████▌ | 162/249 [00:00<00:00, 355.58 it/sec, feas=True, obj=0.163]
INFO - 10:04:43: 65%|██████▌ | 163/249 [00:00<00:00, 355.64 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: 66%|██████▌ | 164/249 [00:00<00:00, 353.74 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: 66%|██████▋ | 165/249 [00:00<00:00, 353.78 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: 67%|██████▋ | 166/249 [00:00<00:00, 353.48 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: 67%|██████▋ | 167/249 [00:00<00:00, 353.52 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: 67%|██████▋ | 168/249 [00:00<00:00, 353.54 it/sec, feas=True, obj=0.153]
INFO - 10:04:43: Optimization result:
INFO - 10:04:43: Optimizer info:
INFO - 10:04:43: Status: None
INFO - 10:04:43: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:43: Solution:
INFO - 10:04:43: Objective: 0.15302499483646398
INFO - 10:04:43: Design space:
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | left_asymptote | 0 | 0 | 0.003526030637650995 | float |
INFO - 10:04:43: | capacity | 2.354639862275782e-05 | 0.03526030637650995 | 0.03526030637650995 | float |
INFO - 10:04:43: | growth_rate | 5.485438714492993e-05 | 0.0003527351582794221 | 0.0004936894843043693 | float |
INFO - 10:04:43: | x_lag | 0 | 0 | 10143.8602060373 | float |
INFO - 10:04:43: | logistic_nu | 0.1 | 0.1802823044298376 | 10 | float |
INFO - 10:04:43: | asymptote_coeff | 0.1 | 1.517914461378432 | 10 | float |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: Optimization result:
INFO - 10:04:43: Optimizer info:
INFO - 10:04:43: Status: None
INFO - 10:04:43: Message: None
INFO - 10:04:43: Solution:
INFO - 10:04:43: Objective: 0.15302499483643223
INFO - 10:04:43: Design space:
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | left_asymptote | 0 | 0 | 0.003526030637650995 | float |
INFO - 10:04:43: | capacity | 2.354639862275782e-05 | 0.03526030637650995 | 0.03526030637650995 | float |
INFO - 10:04:43: | growth_rate | 5.485438714492993e-05 | 0.0003527353354092524 | 0.0004936894843043693 | float |
INFO - 10:04:43: | x_lag | 0 | 0 | 10143.8602060373 | float |
INFO - 10:04:43: | logistic_nu | 0.1 | 0.1802823021132912 | 10 | float |
INFO - 10:04:43: | asymptote_coeff | 0.1 | 1.517914530610214 | 10 | float |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: *** End MDOScenario execution ***
CHN {'left_asymptote': array([0.]), 'capacity': array([0.03526031]), 'growth_rate': array([0.00035274]), 'x_lag': array([0.]), 'logistic_nu': array([0.1802823]), 'asymptote_coeff': array([1.51791453])}
INFO - 10:04:43: *** Start MDOScenario execution ***
INFO - 10:04:43: MDOScenario
INFO - 10:04:43: Disciplines: JAXChain
INFO - 10:04:43: MDO formulation: DisciplinaryOpt
INFO - 10:04:43: Optimization problem:
INFO - 10:04:43: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:43: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:43: over the design space:
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | left_asymptote | 0 | 0.0001131663373556318 | 0.0008766314571631867 | float |
INFO - 10:04:43: | capacity | 0.0001131663373556318 | 0.0008766314571631867 | 0.008766314571631866 | float |
INFO - 10:04:43: | growth_rate | 2.329124728008176e-05 | 0.0001164562364004088 | 0.0002096212255207359 | float |
INFO - 10:04:43: | x_lag | 0 | 1025.081894866177 | 2050.163789732353 | float |
INFO - 10:04:43: | logistic_nu | 0.1 | 1 | 10 | float |
INFO - 10:04:43: | asymptote_coeff | 0.1 | 1 | 10 | float |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: Solving optimization problem with algorithm MultiStart:
INFO - 10:04:43: Optimization problem:
INFO - 10:04:43: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:43: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:43: over the design space:
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: | left_asymptote | 0 | 0.0004998230168179842 | 0.0008766314571631867 | float |
INFO - 10:04:43: | capacity | 0.0001131663373556318 | 0.004087699519456359 | 0.008766314571631866 | float |
INFO - 10:04:43: | growth_rate | 2.329124728008176e-05 | 3.64713543212133e-05 | 0.0002096212255207359 | float |
INFO - 10:04:43: | x_lag | 0 | 1826.343613914355 | 2050.163789732353 | float |
INFO - 10:04:43: | logistic_nu | 0.1 | 7.368669008241702 | 10 | float |
INFO - 10:04:43: | asymptote_coeff | 0.1 | 7.989486619901931 | 10 | float |
INFO - 10:04:43: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:43: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:44: 1%| | 2/250 [00:00<00:18, 13.66 it/sec, feas=True, obj=1]
INFO - 10:04:44: 1%| | 3/250 [00:00<00:12, 20.20 it/sec, feas=True, obj=0.687]
INFO - 10:04:44: 2%|▏ | 4/250 [00:00<00:09, 26.44 it/sec, feas=True, obj=8.53]
INFO - 10:04:44: 2%|▏ | 5/250 [00:00<00:07, 32.45 it/sec, feas=True, obj=0.588]
INFO - 10:04:44: 2%|▏ | 6/250 [00:00<00:06, 38.27 it/sec, feas=True, obj=0.601]
INFO - 10:04:44: 3%|▎ | 7/250 [00:00<00:05, 43.88 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 3%|▎ | 8/250 [00:00<00:04, 48.96 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 4%|▎ | 9/250 [00:00<00:04, 54.18 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 4%|▍ | 10/250 [00:00<00:04, 59.21 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 4%|▍ | 11/250 [00:00<00:03, 64.09 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 5%|▍ | 12/250 [00:00<00:03, 68.82 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 5%|▌ | 13/250 [00:00<00:03, 72.87 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 6%|▌ | 14/250 [00:00<00:03, 76.35 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 6%|▌ | 15/250 [00:00<00:02, 80.56 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 6%|▋ | 16/250 [00:00<00:02, 84.64 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 7%|▋ | 17/250 [00:00<00:02, 88.64 it/sec, feas=True, obj=0.592]
INFO - 10:04:44: 7%|▋ | 18/250 [00:00<00:02, 88.51 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 8%|▊ | 19/250 [00:00<00:02, 92.14 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 8%|▊ | 20/250 [00:00<00:02, 95.68 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 8%|▊ | 21/250 [00:00<00:02, 99.14 it/sec, feas=True, obj=0.587]
INFO - 10:04:44: 9%|▉ | 22/250 [00:00<00:02, 102.51 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 9%|▉ | 23/250 [00:00<00:02, 104.86 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 10%|▉ | 24/250 [00:00<00:02, 108.06 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 10%|█ | 25/250 [00:00<00:02, 111.17 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 10%|█ | 26/250 [00:00<00:01, 114.19 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 11%|█ | 27/250 [00:00<00:01, 117.17 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 11%|█ | 28/250 [00:00<00:01, 120.08 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 12%|█▏ | 29/250 [00:00<00:01, 122.84 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 12%|█▏ | 30/250 [00:00<00:01, 125.58 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 12%|█▏ | 31/250 [00:00<00:01, 128.21 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 13%|█▎ | 32/250 [00:00<00:01, 130.82 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 13%|█▎ | 33/250 [00:00<00:01, 133.31 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 14%|█▎ | 34/250 [00:00<00:01, 135.77 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 14%|█▍ | 35/250 [00:00<00:01, 138.24 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 14%|█▍ | 36/250 [00:00<00:01, 140.64 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 15%|█▍ | 37/250 [00:00<00:01, 142.92 it/sec, feas=True, obj=0.639]
INFO - 10:04:44: 15%|█▌ | 38/250 [00:00<00:01, 145.18 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 16%|█▌ | 39/250 [00:00<00:01, 147.37 it/sec, feas=True, obj=0.652]
INFO - 10:04:44: 16%|█▌ | 40/250 [00:00<00:01, 149.50 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 16%|█▋ | 41/250 [00:00<00:01, 151.67 it/sec, feas=True, obj=0.605]
INFO - 10:04:44: 17%|█▋ | 42/250 [00:00<00:01, 153.78 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 17%|█▋ | 43/250 [00:00<00:01, 155.81 it/sec, feas=True, obj=0.622]
INFO - 10:04:44: 18%|█▊ | 44/250 [00:00<00:01, 157.81 it/sec, feas=True, obj=0.583]
INFO - 10:04:44: 18%|█▊ | 45/250 [00:00<00:01, 159.81 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 18%|█▊ | 46/250 [00:00<00:01, 161.75 it/sec, feas=True, obj=0.583]
INFO - 10:04:44: 19%|█▉ | 47/250 [00:00<00:01, 163.61 it/sec, feas=True, obj=0.597]
INFO - 10:04:44: 19%|█▉ | 48/250 [00:00<00:01, 165.50 it/sec, feas=True, obj=0.583]
INFO - 10:04:44: 20%|█▉ | 49/250 [00:00<00:01, 167.35 it/sec, feas=True, obj=0.853]
INFO - 10:04:44: 20%|██ | 50/250 [00:00<00:01, 169.18 it/sec, feas=True, obj=0.583]
INFO - 10:04:44: 20%|██ | 51/250 [00:00<00:01, 171.01 it/sec, feas=True, obj=0.606]
INFO - 10:04:44: 21%|██ | 52/250 [00:00<00:01, 172.75 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 21%|██ | 53/250 [00:00<00:01, 174.46 it/sec, feas=True, obj=4.7]
INFO - 10:04:44: 22%|██▏ | 54/250 [00:00<00:01, 176.17 it/sec, feas=True, obj=0.574]
INFO - 10:04:44: 22%|██▏ | 55/250 [00:00<00:01, 177.88 it/sec, feas=True, obj=0.576]
INFO - 10:04:44: 22%|██▏ | 56/250 [00:00<00:01, 179.51 it/sec, feas=True, obj=0.569]
INFO - 10:04:44: 23%|██▎ | 57/250 [00:00<00:01, 181.12 it/sec, feas=True, obj=106]
INFO - 10:04:44: 23%|██▎ | 58/250 [00:00<00:01, 182.73 it/sec, feas=True, obj=0.835]
INFO - 10:04:44: 24%|██▎ | 59/250 [00:00<00:01, 184.21 it/sec, feas=True, obj=0.566]
INFO - 10:04:44: 24%|██▍ | 60/250 [00:00<00:01, 185.70 it/sec, feas=True, obj=0.863]
INFO - 10:04:44: 24%|██▍ | 61/250 [00:00<00:01, 187.14 it/sec, feas=True, obj=0.566]
INFO - 10:04:44: 25%|██▍ | 62/250 [00:00<00:00, 188.63 it/sec, feas=True, obj=0.864]
INFO - 10:04:44: 25%|██▌ | 63/250 [00:00<00:00, 190.02 it/sec, feas=True, obj=0.566]
INFO - 10:04:44: 26%|██▌ | 64/250 [00:00<00:00, 191.48 it/sec, feas=True, obj=0.864]
INFO - 10:04:44: 26%|██▌ | 65/250 [00:00<00:00, 192.82 it/sec, feas=True, obj=0.566]
INFO - 10:04:44: 26%|██▋ | 66/250 [00:00<00:00, 194.21 it/sec, feas=True, obj=0.864]
INFO - 10:04:44: 27%|██▋ | 67/250 [00:00<00:00, 195.50 it/sec, feas=True, obj=0.566]
INFO - 10:04:44: 27%|██▋ | 68/250 [00:00<00:00, 196.83 it/sec, feas=True, obj=0.864]
INFO - 10:04:44: 28%|██▊ | 69/250 [00:00<00:00, 198.02 it/sec, feas=True, obj=0.566]
INFO - 10:04:44: 28%|██▊ | 70/250 [00:00<00:00, 198.11 it/sec, feas=True, obj=0.864]
INFO - 10:04:44: 28%|██▊ | 71/250 [00:00<00:00, 199.31 it/sec, feas=True, obj=0.566]
INFO - 10:04:44: 29%|██▉ | 72/250 [00:00<00:00, 200.44 it/sec, feas=True, obj=0.566]
INFO - 10:04:44: 29%|██▉ | 73/250 [00:00<00:00, 201.24 it/sec, feas=True, obj=0.566]
INFO - 10:04:44: Optimization result:
INFO - 10:04:44: Optimizer info:
INFO - 10:04:44: Status: 0
INFO - 10:04:44: Message: CONVERGENCE: RELATIVE REDUCTION OF F <= FACTR*EPSMCH
INFO - 10:04:44: Solution:
INFO - 10:04:44: Objective: 0.5664104887853377
INFO - 10:04:44: Design space:
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | left_asymptote | 0 | 3.474150220484472e-05 | 0.0008766314571631867 | float |
INFO - 10:04:44: | capacity | 0.0001131663373556318 | 0.005893440976406893 | 0.008766314571631866 | float |
INFO - 10:04:44: | growth_rate | 2.329124728008176e-05 | 9.411997316736256e-05 | 0.0002096212255207359 | float |
INFO - 10:04:44: | x_lag | 0 | 1651.901858720962 | 2050.163789732353 | float |
INFO - 10:04:44: | logistic_nu | 0.1 | 0.4739437582795174 | 10 | float |
INFO - 10:04:44: | asymptote_coeff | 0.1 | 3.297186768674832 | 10 | float |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: Optimization problem:
INFO - 10:04:44: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:44: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:44: over the design space:
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | left_asymptote | 0 | 0.0003041302237643152 | 0.0008766314571631867 | float |
INFO - 10:04:44: | capacity | 0.0001131663373556318 | 0.001368822542402687 | 0.008766314571631866 | float |
INFO - 10:04:44: | growth_rate | 2.329124728008176e-05 | 5.359530345749926e-05 | 0.0002096212255207359 | float |
INFO - 10:04:44: | x_lag | 0 | 1334.698127181612 | 2050.163789732353 | float |
INFO - 10:04:44: | logistic_nu | 0.1 | 0.5484496378270003 | 10 | float |
INFO - 10:04:44: | asymptote_coeff | 0.1 | 4.282038415160894 | 10 | float |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:44: 1%| | 2/250 [00:00<00:00, 270.43 it/sec, feas=True, obj=1]
INFO - 10:04:44: 1%| | 3/250 [00:00<00:00, 299.04 it/sec, feas=True, obj=0.587]
INFO - 10:04:44: 2%|▏ | 4/250 [00:00<00:00, 294.05 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 2%|▏ | 5/250 [00:00<00:00, 269.05 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 2%|▏ | 6/250 [00:00<00:00, 258.57 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 3%|▎ | 7/250 [00:00<00:00, 267.21 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 3%|▎ | 8/250 [00:00<00:00, 274.12 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 4%|▎ | 9/250 [00:00<00:00, 278.71 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 4%|▍ | 10/250 [00:00<00:00, 281.11 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 4%|▍ | 11/250 [00:00<00:00, 282.35 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 5%|▍ | 12/250 [00:00<00:00, 276.12 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 5%|▌ | 13/250 [00:00<00:00, 275.72 it/sec, feas=True, obj=0.594]
INFO - 10:04:44: 6%|▌ | 14/250 [00:00<00:00, 279.95 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 6%|▌ | 15/250 [00:00<00:00, 279.70 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 6%|▋ | 16/250 [00:00<00:00, 269.12 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 7%|▋ | 17/250 [00:00<00:00, 272.57 it/sec, feas=True, obj=0.592]
INFO - 10:04:44: 7%|▋ | 18/250 [00:00<00:00, 275.19 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 8%|▊ | 19/250 [00:00<00:00, 278.02 it/sec, feas=True, obj=0.583]
INFO - 10:04:44: 8%|▊ | 20/250 [00:00<00:00, 280.79 it/sec, feas=True, obj=0.583]
INFO - 10:04:44: 8%|▊ | 21/250 [00:00<00:00, 274.76 it/sec, feas=True, obj=0.583]
INFO - 10:04:44: 9%|▉ | 22/250 [00:00<00:00, 277.73 it/sec, feas=True, obj=0.583]
INFO - 10:04:44: 9%|▉ | 23/250 [00:00<00:00, 278.97 it/sec, feas=True, obj=0.583]
INFO - 10:04:44: 10%|▉ | 24/250 [00:00<00:00, 278.79 it/sec, feas=True, obj=0.583]
INFO - 10:04:44: 10%|█ | 25/250 [00:00<00:00, 273.30 it/sec, feas=True, obj=0.583]
INFO - 10:04:44: 10%|█ | 26/250 [00:00<00:00, 275.91 it/sec, feas=True, obj=0.811]
INFO - 10:04:44: 11%|█ | 27/250 [00:00<00:00, 276.38 it/sec, feas=True, obj=0.583]
INFO - 10:04:44: 11%|█ | 28/250 [00:00<00:00, 278.67 it/sec, feas=True, obj=0.583]
INFO - 10:04:44: 12%|█▏ | 29/250 [00:00<00:00, 281.02 it/sec, feas=True, obj=1.26]
INFO - 10:04:44: 12%|█▏ | 30/250 [00:00<00:00, 283.03 it/sec, feas=True, obj=0.583]
INFO - 10:04:44: 12%|█▏ | 31/250 [00:00<00:00, 284.97 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 13%|█▎ | 32/250 [00:00<00:00, 286.83 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 13%|█▎ | 33/250 [00:00<00:00, 288.67 it/sec, feas=True, obj=1.51]
INFO - 10:04:44: 14%|█▎ | 34/250 [00:00<00:00, 290.38 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 14%|█▍ | 35/250 [00:00<00:00, 291.99 it/sec, feas=True, obj=0.603]
INFO - 10:04:44: 14%|█▍ | 36/250 [00:00<00:00, 291.16 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 15%|█▍ | 37/250 [00:00<00:00, 292.71 it/sec, feas=True, obj=1.67]
INFO - 10:04:44: 15%|█▌ | 38/250 [00:00<00:00, 292.55 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 16%|█▌ | 39/250 [00:00<00:00, 293.96 it/sec, feas=True, obj=0.646]
INFO - 10:04:44: 16%|█▌ | 40/250 [00:00<00:00, 295.23 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 16%|█▋ | 41/250 [00:00<00:00, 296.62 it/sec, feas=True, obj=1.94]
INFO - 10:04:44: 17%|█▋ | 42/250 [00:00<00:00, 297.82 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 17%|█▋ | 43/250 [00:00<00:00, 299.09 it/sec, feas=True, obj=0.679]
INFO - 10:04:44: 18%|█▊ | 44/250 [00:00<00:00, 300.21 it/sec, feas=True, obj=0.581]
INFO - 10:04:44: 18%|█▊ | 45/250 [00:00<00:00, 301.50 it/sec, feas=True, obj=0.571]
INFO - 10:04:44: 18%|█▊ | 46/250 [00:00<00:00, 301.58 it/sec, feas=True, obj=0.589]
INFO - 10:04:44: 19%|█▉ | 47/250 [00:00<00:00, 302.78 it/sec, feas=True, obj=0.613]
INFO - 10:04:44: 19%|█▉ | 48/250 [00:00<00:00, 303.81 it/sec, feas=True, obj=0.556]
INFO - 10:04:44: 20%|█▉ | 49/250 [00:00<00:00, 304.82 it/sec, feas=True, obj=1.7]
INFO - 10:04:44: 20%|██ | 50/250 [00:00<00:00, 305.75 it/sec, feas=True, obj=0.548]
INFO - 10:04:44: 20%|██ | 51/250 [00:00<00:00, 306.86 it/sec, feas=True, obj=3.19]
INFO - 10:04:44: 21%|██ | 52/250 [00:00<00:00, 307.84 it/sec, feas=True, obj=0.747]
INFO - 10:04:44: 21%|██ | 53/250 [00:00<00:00, 308.48 it/sec, feas=True, obj=0.524]
INFO - 10:04:44: 22%|██▏ | 54/250 [00:00<00:00, 309.41 it/sec, feas=True, obj=0.757]
INFO - 10:04:44: 22%|██▏ | 55/250 [00:00<00:00, 309.99 it/sec, feas=True, obj=0.524]
INFO - 10:04:44: 22%|██▏ | 56/250 [00:00<00:00, 310.89 it/sec, feas=True, obj=0.758]
INFO - 10:04:44: 23%|██▎ | 57/250 [00:00<00:00, 311.43 it/sec, feas=True, obj=0.524]
INFO - 10:04:44: 23%|██▎ | 58/250 [00:00<00:00, 312.20 it/sec, feas=True, obj=0.758]
INFO - 10:04:44: 24%|██▎ | 59/250 [00:00<00:00, 312.71 it/sec, feas=True, obj=0.524]
INFO - 10:04:44: 24%|██▍ | 60/250 [00:00<00:00, 313.49 it/sec, feas=True, obj=0.758]
INFO - 10:04:44: 24%|██▍ | 61/250 [00:00<00:00, 314.06 it/sec, feas=True, obj=0.524]
INFO - 10:04:44: 25%|██▍ | 62/250 [00:00<00:00, 314.80 it/sec, feas=True, obj=0.758]
INFO - 10:04:44: 25%|██▌ | 63/250 [00:00<00:00, 315.21 it/sec, feas=True, obj=0.524]
INFO - 10:04:44: 26%|██▌ | 64/250 [00:00<00:00, 313.11 it/sec, feas=True, obj=0.758]
INFO - 10:04:44: 26%|██▌ | 65/250 [00:00<00:00, 313.28 it/sec, feas=True, obj=0.524]
INFO - 10:04:44: 26%|██▋ | 66/250 [00:00<00:00, 314.01 it/sec, feas=True, obj=0.758]
INFO - 10:04:44: 27%|██▋ | 67/250 [00:00<00:00, 311.26 it/sec, feas=True, obj=0.524]
INFO - 10:04:44: Optimization result:
INFO - 10:04:44: Optimizer info:
INFO - 10:04:44: Status: 0
INFO - 10:04:44: Message: CONVERGENCE: RELATIVE REDUCTION OF F <= FACTR*EPSMCH
INFO - 10:04:44: Solution:
INFO - 10:04:44: Objective: 0.5243365694012976
INFO - 10:04:44: Design space:
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | left_asymptote | 0 | 6.823177690731172e-05 | 0.0008766314571631867 | float |
INFO - 10:04:44: | capacity | 0.0001131663373556318 | 0.006692255772181973 | 0.008766314571631866 | float |
INFO - 10:04:44: | growth_rate | 2.329124728008176e-05 | 0.000168807199466578 | 0.0002096212255207359 | float |
INFO - 10:04:44: | x_lag | 0 | 1631.921588132313 | 2050.163789732353 | float |
INFO - 10:04:44: | logistic_nu | 0.1 | 0.3510187748480728 | 10 | float |
INFO - 10:04:44: | asymptote_coeff | 0.1 | 2.090244765095902 | 10 | float |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: Optimization problem:
INFO - 10:04:44: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:44: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:44: over the design space:
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | left_asymptote | 0 | 0.0006820730397239938 | 0.0008766314571631867 | float |
INFO - 10:04:44: | capacity | 0.0001131663373556318 | 0.003082084402181448 | 0.008766314571631866 | float |
INFO - 10:04:44: | growth_rate | 2.329124728008176e-05 | 6.587203179694826e-05 | 0.0002096212255207359 | float |
INFO - 10:04:44: | x_lag | 0 | 353.1863319626532 | 2050.163789732353 | float |
INFO - 10:04:44: | logistic_nu | 0.1 | 4.260096820785328 | 10 | float |
INFO - 10:04:44: | asymptote_coeff | 0.1 | 9.734456184588874 | 10 | float |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:44: 1%| | 2/250 [00:00<00:00, 390.62 it/sec, feas=True, obj=1]
INFO - 10:04:44: 1%| | 3/250 [00:00<00:00, 401.34 it/sec, feas=True, obj=0.592]
INFO - 10:04:44: 2%|▏ | 4/250 [00:00<00:00, 393.95 it/sec, feas=True, obj=0.599]
INFO - 10:04:44: 2%|▏ | 5/250 [00:00<00:00, 388.17 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 2%|▏ | 6/250 [00:00<00:00, 384.68 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 3%|▎ | 7/250 [00:00<00:00, 371.01 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 3%|▎ | 8/250 [00:00<00:00, 368.79 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 4%|▎ | 9/250 [00:00<00:00, 367.90 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 4%|▍ | 10/250 [00:00<00:00, 363.77 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 4%|▍ | 11/250 [00:00<00:00, 356.33 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 5%|▍ | 12/250 [00:00<00:00, 328.25 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 5%|▌ | 13/250 [00:00<00:00, 328.39 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 6%|▌ | 14/250 [00:00<00:00, 330.71 it/sec, feas=True, obj=0.742]
INFO - 10:04:44: 6%|▌ | 15/250 [00:00<00:00, 332.81 it/sec, feas=True, obj=0.587]
INFO - 10:04:44: 6%|▋ | 16/250 [00:00<00:00, 333.74 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 7%|▋ | 17/250 [00:00<00:00, 334.96 it/sec, feas=True, obj=0.68]
INFO - 10:04:44: 7%|▋ | 18/250 [00:00<00:00, 336.31 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 8%|▊ | 19/250 [00:00<00:00, 337.46 it/sec, feas=True, obj=0.595]
INFO - 10:04:44: 8%|▊ | 20/250 [00:00<00:00, 330.58 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 8%|▊ | 21/250 [00:00<00:00, 332.06 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 9%|▉ | 22/250 [00:00<00:00, 333.00 it/sec, feas=True, obj=0.585]
INFO - 10:04:44: 9%|▉ | 23/250 [00:00<00:00, 333.30 it/sec, feas=True, obj=0.66]
INFO - 10:04:44: 10%|▉ | 24/250 [00:00<00:00, 334.17 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 10%|█ | 25/250 [00:00<00:00, 335.04 it/sec, feas=True, obj=0.998]
INFO - 10:04:44: 10%|█ | 26/250 [00:00<00:00, 330.93 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 11%|█ | 27/250 [00:00<00:00, 331.95 it/sec, feas=True, obj=0.906]
INFO - 10:04:44: 11%|█ | 28/250 [00:00<00:00, 324.02 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 12%|█▏ | 29/250 [00:00<00:00, 324.27 it/sec, feas=True, obj=0.902]
INFO - 10:04:44: 12%|█▏ | 30/250 [00:00<00:00, 324.58 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 12%|█▏ | 31/250 [00:00<00:00, 324.88 it/sec, feas=True, obj=0.901]
INFO - 10:04:44: 13%|█▎ | 32/250 [00:00<00:00, 325.11 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 13%|█▎ | 33/250 [00:00<00:00, 325.38 it/sec, feas=True, obj=0.901]
INFO - 10:04:44: 14%|█▎ | 34/250 [00:00<00:00, 316.51 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 14%|█▍ | 35/250 [00:00<00:00, 317.62 it/sec, feas=True, obj=0.9]
INFO - 10:04:44: 14%|█▍ | 36/250 [00:00<00:00, 317.38 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 15%|█▍ | 37/250 [00:00<00:00, 318.42 it/sec, feas=True, obj=0.9]
INFO - 10:04:44: 15%|█▌ | 38/250 [00:00<00:00, 318.18 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 16%|█▌ | 39/250 [00:00<00:00, 318.55 it/sec, feas=True, obj=0.9]
INFO - 10:04:44: 16%|█▌ | 40/250 [00:00<00:00, 318.88 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 16%|█▋ | 41/250 [00:00<00:00, 319.25 it/sec, feas=True, obj=0.897]
INFO - 10:04:44: 17%|█▋ | 42/250 [00:00<00:00, 319.56 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 17%|█▋ | 43/250 [00:00<00:00, 320.49 it/sec, feas=True, obj=0.897]
INFO - 10:04:44: 18%|█▊ | 44/250 [00:00<00:00, 320.15 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 18%|█▊ | 45/250 [00:00<00:00, 320.97 it/sec, feas=True, obj=0.878]
INFO - 10:04:44: 18%|█▊ | 46/250 [00:00<00:00, 320.72 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 19%|█▉ | 47/250 [00:00<00:00, 321.56 it/sec, feas=True, obj=0.86]
INFO - 10:04:44: 19%|█▉ | 48/250 [00:00<00:00, 322.04 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 20%|█▉ | 49/250 [00:00<00:00, 322.72 it/sec, feas=True, obj=0.86]
INFO - 10:04:44: 20%|██ | 50/250 [00:00<00:00, 323.33 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 20%|██ | 51/250 [00:00<00:00, 324.02 it/sec, feas=True, obj=0.849]
INFO - 10:04:44: 21%|██ | 52/250 [00:00<00:00, 324.66 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 21%|██ | 53/250 [00:00<00:00, 325.28 it/sec, feas=True, obj=0.846]
INFO - 10:04:44: 22%|██▏ | 54/250 [00:00<00:00, 325.72 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 22%|██▏ | 55/250 [00:00<00:00, 326.27 it/sec, feas=True, obj=0.809]
INFO - 10:04:44: 22%|██▏ | 56/250 [00:00<00:00, 326.76 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 23%|██▎ | 57/250 [00:00<00:00, 327.32 it/sec, feas=True, obj=0.709]
INFO - 10:04:44: 23%|██▎ | 58/250 [00:00<00:00, 327.75 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 24%|██▎ | 59/250 [00:00<00:00, 328.23 it/sec, feas=True, obj=0.637]
INFO - 10:04:44: 24%|██▍ | 60/250 [00:00<00:00, 328.68 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 24%|██▍ | 61/250 [00:00<00:00, 329.16 it/sec, feas=True, obj=0.583]
INFO - 10:04:44: 25%|██▍ | 62/250 [00:00<00:00, 329.66 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 25%|██▌ | 63/250 [00:00<00:00, 329.80 it/sec, feas=True, obj=0.664]
INFO - 10:04:44: 26%|██▌ | 64/250 [00:00<00:00, 330.17 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 26%|██▌ | 65/250 [00:00<00:00, 330.59 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 26%|██▋ | 66/250 [00:00<00:00, 330.81 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 27%|██▋ | 67/250 [00:00<00:00, 331.29 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 27%|██▋ | 68/250 [00:00<00:00, 331.70 it/sec, feas=True, obj=0.583]
INFO - 10:04:44: 28%|██▊ | 69/250 [00:00<00:00, 332.09 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 28%|██▊ | 70/250 [00:00<00:00, 332.43 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 28%|██▊ | 71/250 [00:00<00:00, 332.83 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 29%|██▉ | 72/250 [00:00<00:00, 333.19 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 29%|██▉ | 73/250 [00:00<00:00, 333.48 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 30%|██▉ | 74/250 [00:00<00:00, 333.83 it/sec, feas=True, obj=0.583]
INFO - 10:04:44: 30%|███ | 75/250 [00:00<00:00, 334.15 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 30%|███ | 76/250 [00:00<00:00, 334.55 it/sec, feas=True, obj=0.584]
INFO - 10:04:44: 31%|███ | 77/250 [00:00<00:00, 334.82 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 31%|███ | 78/250 [00:00<00:00, 335.07 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 32%|███▏ | 79/250 [00:00<00:00, 335.38 it/sec, feas=True, obj=0.59]
INFO - 10:04:44: 32%|███▏ | 80/250 [00:00<00:00, 335.65 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 32%|███▏ | 81/250 [00:00<00:00, 335.95 it/sec, feas=True, obj=0.589]
INFO - 10:04:44: 33%|███▎ | 82/250 [00:00<00:00, 336.18 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 33%|███▎ | 83/250 [00:00<00:00, 336.43 it/sec, feas=True, obj=0.587]
INFO - 10:04:44: 34%|███▎ | 84/250 [00:00<00:00, 336.65 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 34%|███▍ | 85/250 [00:00<00:00, 336.65 it/sec, feas=True, obj=0.587]
INFO - 10:04:44: 34%|███▍ | 86/250 [00:00<00:00, 336.84 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 35%|███▍ | 87/250 [00:00<00:00, 337.15 it/sec, feas=True, obj=0.587]
INFO - 10:04:44: 35%|███▌ | 88/250 [00:00<00:00, 337.36 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 36%|███▌ | 89/250 [00:00<00:00, 337.62 it/sec, feas=True, obj=0.587]
INFO - 10:04:44: 36%|███▌ | 90/250 [00:00<00:00, 337.83 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 36%|███▋ | 91/250 [00:00<00:00, 338.11 it/sec, feas=True, obj=0.587]
INFO - 10:04:44: 37%|███▋ | 92/250 [00:00<00:00, 338.30 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 37%|███▋ | 93/250 [00:00<00:00, 338.54 it/sec, feas=True, obj=0.587]
INFO - 10:04:44: 38%|███▊ | 94/250 [00:00<00:00, 338.73 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 38%|███▊ | 95/250 [00:00<00:00, 338.99 it/sec, feas=True, obj=0.587]
INFO - 10:04:44: 38%|███▊ | 96/250 [00:00<00:00, 339.19 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 39%|███▉ | 97/250 [00:00<00:00, 339.41 it/sec, feas=True, obj=0.587]
INFO - 10:04:44: 39%|███▉ | 98/250 [00:00<00:00, 339.58 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 40%|███▉ | 99/250 [00:00<00:00, 339.81 it/sec, feas=True, obj=0.587]
INFO - 10:04:44: 40%|████ | 100/250 [00:00<00:00, 340.03 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 40%|████ | 101/250 [00:00<00:00, 340.17 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 41%|████ | 102/250 [00:00<00:00, 340.35 it/sec, feas=True, obj=0.588]
INFO - 10:04:44: 41%|████ | 103/250 [00:00<00:00, 340.48 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 42%|████▏ | 104/250 [00:00<00:00, 340.64 it/sec, feas=True, obj=0.588]
INFO - 10:04:44: 42%|████▏ | 105/250 [00:00<00:00, 340.78 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 42%|████▏ | 106/250 [00:00<00:00, 340.95 it/sec, feas=True, obj=0.588]
INFO - 10:04:44: 43%|████▎ | 107/250 [00:00<00:00, 341.06 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 43%|████▎ | 108/250 [00:00<00:00, 341.21 it/sec, feas=True, obj=0.588]
INFO - 10:04:44: 44%|████▎ | 109/250 [00:00<00:00, 341.12 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 44%|████▍ | 110/250 [00:00<00:00, 341.28 it/sec, feas=True, obj=0.588]
INFO - 10:04:44: 44%|████▍ | 111/250 [00:00<00:00, 341.42 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 45%|████▍ | 112/250 [00:00<00:00, 341.55 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 45%|████▌ | 113/250 [00:00<00:00, 341.66 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 46%|████▌ | 114/250 [00:00<00:00, 341.85 it/sec, feas=True, obj=0.614]
INFO - 10:04:44: 46%|████▌ | 115/250 [00:00<00:00, 341.96 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 46%|████▋ | 116/250 [00:00<00:00, 342.12 it/sec, feas=True, obj=0.614]
INFO - 10:04:44: 47%|████▋ | 117/250 [00:00<00:00, 342.21 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 47%|████▋ | 118/250 [00:00<00:00, 342.35 it/sec, feas=True, obj=0.614]
INFO - 10:04:44: 48%|████▊ | 119/250 [00:00<00:00, 342.47 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 48%|████▊ | 120/250 [00:00<00:00, 342.42 it/sec, feas=True, obj=0.614]
INFO - 10:04:44: 48%|████▊ | 121/250 [00:00<00:00, 342.49 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: 49%|████▉ | 122/250 [00:00<00:00, 342.58 it/sec, feas=True, obj=0.614]
INFO - 10:04:44: 49%|████▉ | 123/250 [00:00<00:00, 342.28 it/sec, feas=True, obj=0.582]
INFO - 10:04:44: Optimization result:
INFO - 10:04:44: Optimizer info:
INFO - 10:04:44: Status: 0
INFO - 10:04:44: Message: CONVERGENCE: RELATIVE REDUCTION OF F <= FACTR*EPSMCH
INFO - 10:04:44: Solution:
INFO - 10:04:44: Objective: 0.5816596270210499
INFO - 10:04:44: Design space:
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | left_asymptote | 0 | 0 | 0.0008766314571631867 | float |
INFO - 10:04:44: | capacity | 0.0001131663373556318 | 0.00839043510830288 | 0.008766314571631866 | float |
INFO - 10:04:44: | growth_rate | 2.329124728008176e-05 | 7.513407237810026e-05 | 0.0002096212255207359 | float |
INFO - 10:04:44: | x_lag | 0 | 378.5772888701485 | 2050.163789732353 | float |
INFO - 10:04:44: | logistic_nu | 0.1 | 0.7044697441856271 | 10 | float |
INFO - 10:04:44: | asymptote_coeff | 0.1 | 9.76639806704463 | 10 | float |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: Optimization problem:
INFO - 10:04:44: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:44: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:44: over the design space:
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | left_asymptote | 0 | 0.0003531729235133704 | 0.0008766314571631867 | float |
INFO - 10:04:44: | capacity | 0.0001131663373556318 | 0.004459490905385058 | 0.008766314571631866 | float |
INFO - 10:04:44: | growth_rate | 2.329124728008176e-05 | 0.0001376443727359595 | 0.0002096212255207359 | float |
INFO - 10:04:44: | x_lag | 0 | 38.6972378277965 | 2050.163789732353 | float |
INFO - 10:04:44: | logistic_nu | 0.1 | 2.587510942749914 | 10 | float |
INFO - 10:04:44: | asymptote_coeff | 0.1 | 0.7930309738998174 | 10 | float |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:44: 1%| | 2/250 [00:00<00:00, 380.38 it/sec, feas=True, obj=1]
INFO - 10:04:44: 1%| | 3/250 [00:00<00:00, 393.31 it/sec, feas=True, obj=0.832]
INFO - 10:04:44: 2%|▏ | 4/250 [00:00<00:00, 384.82 it/sec, feas=True, obj=1.12]
INFO - 10:04:44: 2%|▏ | 5/250 [00:00<00:00, 379.79 it/sec, feas=True, obj=0.588]
INFO - 10:04:44: 2%|▏ | 6/250 [00:00<00:00, 377.92 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 3%|▎ | 7/250 [00:00<00:00, 375.25 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 3%|▎ | 8/250 [00:00<00:00, 373.59 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 4%|▎ | 9/250 [00:00<00:00, 371.79 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 4%|▍ | 10/250 [00:00<00:00, 371.18 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 4%|▍ | 11/250 [00:00<00:00, 370.36 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 5%|▍ | 12/250 [00:00<00:00, 369.29 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 5%|▌ | 13/250 [00:00<00:00, 368.80 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 6%|▌ | 14/250 [00:00<00:00, 368.42 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 6%|▌ | 15/250 [00:00<00:00, 368.02 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 6%|▋ | 16/250 [00:00<00:00, 367.34 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 7%|▋ | 17/250 [00:00<00:00, 366.81 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 7%|▋ | 18/250 [00:00<00:00, 366.36 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 8%|▊ | 19/250 [00:00<00:00, 364.61 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 8%|▊ | 20/250 [00:00<00:00, 364.39 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: Optimization result:
INFO - 10:04:44: Optimizer info:
INFO - 10:04:44: Status: None
INFO - 10:04:44: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:44: Solution:
INFO - 10:04:44: Objective: 0.5859138957763981
INFO - 10:04:44: Design space:
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | left_asymptote | 0 | 0.0002878105238594912 | 0.0008766314571631867 | float |
INFO - 10:04:44: | capacity | 0.0001131663373556318 | 0.000290446515269845 | 0.008766314571631866 | float |
INFO - 10:04:44: | growth_rate | 2.329124728008176e-05 | 0.0001054762852677271 | 0.0002096212255207359 | float |
INFO - 10:04:44: | x_lag | 0 | 986.7731410868649 | 2050.163789732353 | float |
INFO - 10:04:44: | logistic_nu | 0.1 | 0.1679275463717322 | 10 | float |
INFO - 10:04:44: | asymptote_coeff | 0.1 | 9.208944343383493 | 10 | float |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: Optimization problem:
INFO - 10:04:44: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:44: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:44: over the design space:
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | left_asymptote | 0 | 0.0002201282803395134 | 0.0008766314571631867 | float |
INFO - 10:04:44: | capacity | 0.0001131663373556318 | 0.008337252039855291 | 0.008766314571631866 | float |
INFO - 10:04:44: | growth_rate | 2.329124728008176e-05 | 0.000169138859107765 | 0.0002096212255207359 | float |
INFO - 10:04:44: | x_lag | 0 | 1633.751046286248 | 2050.163789732353 | float |
INFO - 10:04:44: | logistic_nu | 0.1 | 4.841685669245659 | 10 | float |
INFO - 10:04:44: | asymptote_coeff | 0.1 | 3.806533090469718 | 10 | float |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:44: 1%| | 2/250 [00:00<00:00, 386.80 it/sec, feas=True, obj=1]
INFO - 10:04:44: 1%| | 3/250 [00:00<00:00, 391.75 it/sec, feas=True, obj=0.787]
INFO - 10:04:44: 2%|▏ | 4/250 [00:00<00:00, 377.36 it/sec, feas=True, obj=0.997]
INFO - 10:04:44: 2%|▏ | 5/250 [00:00<00:00, 366.96 it/sec, feas=True, obj=0.587]
INFO - 10:04:44: 2%|▏ | 6/250 [00:00<00:00, 365.85 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 3%|▎ | 7/250 [00:00<00:00, 365.77 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 3%|▎ | 8/250 [00:00<00:00, 363.55 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: Optimization result:
INFO - 10:04:44: Optimizer info:
INFO - 10:04:44: Status: 0
INFO - 10:04:44: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:44: Solution:
INFO - 10:04:44: Objective: 0.5859138960385624
INFO - 10:04:44: Design space:
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | left_asymptote | 0 | 0.0002878102846941287 | 0.0008766314571631867 | float |
INFO - 10:04:44: | capacity | 0.0001131663373556318 | 0.0002762850721180585 | 0.008766314571631866 | float |
INFO - 10:04:44: | growth_rate | 2.329124728008176e-05 | 0.0001963162975800626 | 0.0002096212255207359 | float |
INFO - 10:04:44: | x_lag | 0 | 2020.900021120024 | 2050.163789732353 | float |
INFO - 10:04:44: | logistic_nu | 0.1 | 0.1256327491473389 | 10 | float |
INFO - 10:04:44: | asymptote_coeff | 0.1 | 9.736461678889178 | 10 | float |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: Optimization problem:
INFO - 10:04:44: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:44: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:44: over the design space:
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | left_asymptote | 0 | 0.0008270219364566606 | 0.0008766314571631867 | float |
INFO - 10:04:44: | capacity | 0.0001131663373556318 | 0.001835563917793818 | 0.008766314571631866 | float |
INFO - 10:04:44: | growth_rate | 2.329124728008176e-05 | 0.0001474099988618969 | 0.0002096212255207359 | float |
INFO - 10:04:44: | x_lag | 0 | 743.4488133784863 | 2050.163789732353 | float |
INFO - 10:04:44: | logistic_nu | 0.1 | 5.169901185402307 | 10 | float |
INFO - 10:04:44: | asymptote_coeff | 0.1 | 6.84670587772096 | 10 | float |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:44: 1%| | 2/250 [00:00<00:00, 383.80 it/sec, feas=True, obj=0.744]
INFO - 10:04:44: 1%| | 3/250 [00:00<00:00, 395.88 it/sec, feas=True, obj=0.638]
INFO - 10:04:44: 2%|▏ | 4/250 [00:00<00:00, 386.72 it/sec, feas=True, obj=0.598]
INFO - 10:04:44: 2%|▏ | 5/250 [00:00<00:00, 372.65 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 2%|▏ | 6/250 [00:00<00:00, 370.02 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: 3%|▎ | 7/250 [00:00<00:00, 367.14 it/sec, feas=True, obj=0.586]
INFO - 10:04:44: Optimization result:
INFO - 10:04:44: Optimizer info:
INFO - 10:04:44: Status: 0
INFO - 10:04:44: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:44: Solution:
INFO - 10:04:44: Objective: 0.5859138960234617
INFO - 10:04:44: Design space:
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | left_asymptote | 0 | 0.0002878102822977369 | 0.0008766314571631867 | float |
INFO - 10:04:44: | capacity | 0.0001131663373556318 | 0.0001235963101167607 | 0.008766314571631866 | float |
INFO - 10:04:44: | growth_rate | 2.329124728008176e-05 | 0.0001477299314905366 | 0.0002096212255207359 | float |
INFO - 10:04:44: | x_lag | 0 | 768.7559057681078 | 2050.163789732353 | float |
INFO - 10:04:44: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:44: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: Optimization problem:
INFO - 10:04:44: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:44: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:44: over the design space:
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: | left_asymptote | 0 | 0.0006254644194590613 | 0.0008766314571631867 | float |
INFO - 10:04:44: | capacity | 0.0001131663373556318 | 0.0004150124322892293 | 0.008766314571631866 | float |
INFO - 10:04:44: | growth_rate | 2.329124728008176e-05 | 9.989712354845038e-05 | 0.0002096212255207359 | float |
INFO - 10:04:44: | x_lag | 0 | 1506.496762327414 | 2050.163789732353 | float |
INFO - 10:04:44: | logistic_nu | 0.1 | 3.561734423309778 | 10 | float |
INFO - 10:04:44: | asymptote_coeff | 0.1 | 0.196786351209056 | 10 | float |
INFO - 10:04:44: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:44: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:45: 1%| | 2/250 [00:00<00:00, 389.88 it/sec, feas=True, obj=0.747]
INFO - 10:04:45: 1%| | 3/250 [00:00<00:00, 399.56 it/sec, feas=True, obj=0.596]
INFO - 10:04:45: 2%|▏ | 4/250 [00:00<00:00, 389.81 it/sec, feas=True, obj=0.596]
INFO - 10:04:45: 2%|▏ | 5/250 [00:00<00:00, 383.10 it/sec, feas=True, obj=0.596]
INFO - 10:04:45: 2%|▏ | 6/250 [00:00<00:00, 378.34 it/sec, feas=True, obj=0.595]
INFO - 10:04:45: 3%|▎ | 7/250 [00:00<00:00, 376.04 it/sec, feas=True, obj=0.594]
INFO - 10:04:45: 3%|▎ | 8/250 [00:00<00:00, 374.82 it/sec, feas=True, obj=0.593]
INFO - 10:04:45: 4%|▎ | 9/250 [00:00<00:00, 373.03 it/sec, feas=True, obj=0.59]
INFO - 10:04:45: 4%|▍ | 10/250 [00:00<00:00, 370.45 it/sec, feas=True, obj=0.585]
INFO - 10:04:45: 4%|▍ | 11/250 [00:00<00:00, 369.26 it/sec, feas=True, obj=0.584]
INFO - 10:04:45: 5%|▍ | 12/250 [00:00<00:00, 367.71 it/sec, feas=True, obj=0.584]
INFO - 10:04:45: 5%|▌ | 13/250 [00:00<00:00, 367.01 it/sec, feas=True, obj=0.583]
INFO - 10:04:45: 6%|▌ | 14/250 [00:00<00:00, 367.04 it/sec, feas=True, obj=0.579]
INFO - 10:04:45: 6%|▌ | 15/250 [00:00<00:00, 366.55 it/sec, feas=True, obj=0.578]
INFO - 10:04:45: 6%|▋ | 16/250 [00:00<00:00, 366.28 it/sec, feas=True, obj=0.572]
INFO - 10:04:45: 7%|▋ | 17/250 [00:00<00:00, 366.08 it/sec, feas=True, obj=0.829]
INFO - 10:04:45: 7%|▋ | 18/250 [00:00<00:00, 366.03 it/sec, feas=True, obj=0.567]
INFO - 10:04:45: 8%|▊ | 19/250 [00:00<00:00, 365.72 it/sec, feas=True, obj=0.562]
INFO - 10:04:45: 8%|▊ | 20/250 [00:00<00:00, 365.38 it/sec, feas=True, obj=0.564]
INFO - 10:04:45: 8%|▊ | 21/250 [00:00<00:00, 363.08 it/sec, feas=True, obj=0.561]
INFO - 10:04:45: 9%|▉ | 22/250 [00:00<00:00, 362.13 it/sec, feas=True, obj=0.796]
INFO - 10:04:45: 9%|▉ | 23/250 [00:00<00:00, 361.92 it/sec, feas=True, obj=0.467]
INFO - 10:04:45: 10%|▉ | 24/250 [00:00<00:00, 361.34 it/sec, feas=True, obj=0.787]
INFO - 10:04:45: 10%|█ | 25/250 [00:00<00:00, 359.78 it/sec, feas=True, obj=0.398]
INFO - 10:04:45: 10%|█ | 26/250 [00:00<00:00, 358.35 it/sec, feas=True, obj=0.369]
INFO - 10:04:45: 11%|█ | 27/250 [00:00<00:00, 354.13 it/sec, feas=True, obj=0.361]
INFO - 10:04:45: 11%|█ | 28/250 [00:00<00:00, 353.09 it/sec, feas=True, obj=0.348]
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INFO - 10:04:45: 72%|███████▏ | 179/250 [00:00<00:00, 331.13 it/sec, feas=True, obj=0.122]
INFO - 10:04:45: 72%|███████▏ | 180/250 [00:00<00:00, 331.27 it/sec, feas=True, obj=0.144]
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INFO - 10:04:45: 73%|███████▎ | 182/250 [00:00<00:00, 331.43 it/sec, feas=True, obj=0.144]
INFO - 10:04:45: 73%|███████▎ | 183/250 [00:00<00:00, 331.23 it/sec, feas=True, obj=0.122]
INFO - 10:04:45: 74%|███████▎ | 184/250 [00:00<00:00, 331.25 it/sec, feas=True, obj=0.144]
INFO - 10:04:45: 74%|███████▍ | 185/250 [00:00<00:00, 331.29 it/sec, feas=True, obj=0.122]
INFO - 10:04:45: 74%|███████▍ | 186/250 [00:00<00:00, 331.43 it/sec, feas=True, obj=0.144]
INFO - 10:04:45: 75%|███████▍ | 187/250 [00:00<00:00, 330.65 it/sec, feas=True, obj=0.122]
INFO - 10:04:45: 75%|███████▌ | 188/250 [00:00<00:00, 330.79 it/sec, feas=True, obj=0.144]
INFO - 10:04:45: 76%|███████▌ | 189/250 [00:00<00:00, 330.92 it/sec, feas=True, obj=0.122]
INFO - 10:04:45: 76%|███████▌ | 190/250 [00:00<00:00, 331.04 it/sec, feas=True, obj=0.122]
INFO - 10:04:45: 76%|███████▋ | 191/250 [00:00<00:00, 331.02 it/sec, feas=True, obj=0.122]
INFO - 10:04:45: Optimization result:
INFO - 10:04:45: Optimizer info:
INFO - 10:04:45: Status: None
INFO - 10:04:45: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:45: Solution:
INFO - 10:04:45: Objective: 0.12208063999374441
INFO - 10:04:45: Design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 0 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.008766314571631866 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 0.0002078303079921299 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 2042.371330817162 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 0.1628115265397335 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 0.4476319612637988 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Optimization problem:
INFO - 10:04:45: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:45: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:45: over the design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 0.0002047609113945362 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.006627420857426671 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 0.0001253747090886224 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 820.5098915913993 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 1.584139511566824 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 8.646435449387221 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:45: 1%| | 2/250 [00:00<00:00, 376.64 it/sec, feas=True, obj=1]
INFO - 10:04:45: 1%| | 3/250 [00:00<00:00, 388.67 it/sec, feas=True, obj=0.938]
INFO - 10:04:45: 2%|▏ | 4/250 [00:00<00:00, 373.41 it/sec, feas=True, obj=0.72]
INFO - 10:04:45: 2%|▏ | 5/250 [00:00<00:00, 370.19 it/sec, feas=True, obj=0.821]
INFO - 10:04:45: 2%|▏ | 6/250 [00:00<00:00, 368.55 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 3%|▎ | 7/250 [00:00<00:00, 366.77 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 3%|▎ | 8/250 [00:00<00:00, 365.17 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 4%|▎ | 9/250 [00:00<00:00, 362.68 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: Optimization result:
INFO - 10:04:45: Optimizer info:
INFO - 10:04:45: Status: 0
INFO - 10:04:45: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:45: Solution:
INFO - 10:04:45: Objective: 0.5859138959280408
INFO - 10:04:45: Design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 0.0002878102833513049 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.005149328701497869 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 0.000125956120851154 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 851.7620106973817 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 0.1000007853649037 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 9.007392456881654 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Optimization problem:
INFO - 10:04:45: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:45: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:45: over the design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 0.0001282103770809446 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.004992267385350049 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 3.183790746474532e-05 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 715.4271213678065 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 3.881851228413161 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 5.404868117632494 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:45: 1%| | 2/250 [00:00<00:00, 365.37 it/sec, feas=True, obj=1]
INFO - 10:04:45: 1%| | 3/250 [00:00<00:00, 382.51 it/sec, feas=True, obj=0.843]
INFO - 10:04:45: 2%|▏ | 4/250 [00:00<00:00, 376.49 it/sec, feas=True, obj=1.16]
INFO - 10:04:45: 2%|▏ | 5/250 [00:00<00:00, 362.86 it/sec, feas=True, obj=0.588]
INFO - 10:04:45: 2%|▏ | 6/250 [00:00<00:00, 361.47 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 3%|▎ | 7/250 [00:00<00:00, 355.54 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 3%|▎ | 8/250 [00:00<00:00, 351.33 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: Optimization result:
INFO - 10:04:45: Optimizer info:
INFO - 10:04:45: Status: 0
INFO - 10:04:45: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:45: Solution:
INFO - 10:04:45: Objective: 0.585913896046505
INFO - 10:04:45: Design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 0.000287810296472385 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.0001484510465136602 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 3.315779616327889e-05 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 756.9431753475972 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 0.1231664710110216 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 9.673233778185907 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Optimization problem:
INFO - 10:04:45: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:45: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:45: over the design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 0.000737683943541606 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.008083443235225066 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 5.025590606072303e-05 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 965.1057809540463 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 8.234739433018818 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 3.408753901197628 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:45: 1%| | 2/250 [00:00<00:00, 359.81 it/sec, feas=True, obj=0.641]
INFO - 10:04:45: 1%| | 3/250 [00:00<00:00, 367.66 it/sec, feas=True, obj=0.594]
INFO - 10:04:45: 2%|▏ | 4/250 [00:00<00:00, 356.60 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 2%|▏ | 5/250 [00:00<00:00, 353.93 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 2%|▏ | 6/250 [00:00<00:00, 353.43 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: Optimization result:
INFO - 10:04:45: Optimizer info:
INFO - 10:04:45: Status: 0
INFO - 10:04:45: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:45: Solution:
INFO - 10:04:45: Objective: 0.585913896022684
INFO - 10:04:45: Design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 0.0002878102690414693 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.0001131663373759604 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 5.640222370754281e-05 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 1070.901529482635 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Optimization problem:
INFO - 10:04:45: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:45: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:45: over the design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 0.0008450581820278295 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.003675001551798636 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 0.0001160895170407786 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 1692.797859721447 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 8.81154772732992 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 4.60272431489444 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:45: 1%| | 2/250 [00:00<00:00, 385.51 it/sec, feas=True, obj=0.755]
INFO - 10:04:45: 1%| | 3/250 [00:00<00:00, 393.67 it/sec, feas=True, obj=0.649]
INFO - 10:04:45: 2%|▏ | 4/250 [00:00<00:00, 376.71 it/sec, feas=True, obj=0.603]
INFO - 10:04:45: 2%|▏ | 5/250 [00:00<00:00, 367.45 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 2%|▏ | 6/250 [00:00<00:00, 365.90 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 3%|▎ | 7/250 [00:00<00:00, 362.96 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: Optimization result:
INFO - 10:04:45: Optimizer info:
INFO - 10:04:45: Status: 0
INFO - 10:04:45: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:45: Solution:
INFO - 10:04:45: Objective: 0.5859138960233082
INFO - 10:04:45: Design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 0.0002878102884034092 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.0001131663373850752 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 0.0001230767423476659 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 1780.691903786663 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Optimization problem:
INFO - 10:04:45: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:45: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:45: over the design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 0.0003259319849764985 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.002515978466179313 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 9.268247816933479e-05 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 590.0995655239416 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 9.197003967850243 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 2.224733400313706 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:45: 1%| | 2/250 [00:00<00:00, 383.39 it/sec, feas=True, obj=0.826]
INFO - 10:04:45: 1%| | 3/250 [00:00<00:00, 395.32 it/sec, feas=True, obj=0.604]
INFO - 10:04:45: 2%|▏ | 4/250 [00:00<00:00, 384.76 it/sec, feas=True, obj=0.613]
INFO - 10:04:45: 2%|▏ | 5/250 [00:00<00:00, 375.82 it/sec, feas=True, obj=0.585]
INFO - 10:04:45: 2%|▏ | 6/250 [00:00<00:00, 372.65 it/sec, feas=True, obj=0.585]
INFO - 10:04:45: 3%|▎ | 7/250 [00:00<00:00, 364.31 it/sec, feas=True, obj=0.585]
INFO - 10:04:45: 3%|▎ | 8/250 [00:00<00:00, 360.37 it/sec, feas=True, obj=0.585]
INFO - 10:04:45: 4%|▎ | 9/250 [00:00<00:00, 360.15 it/sec, feas=True, obj=0.585]
INFO - 10:04:45: 4%|▍ | 10/250 [00:00<00:00, 356.78 it/sec, feas=True, obj=0.585]
INFO - 10:04:45: 4%|▍ | 11/250 [00:00<00:00, 356.72 it/sec, feas=True, obj=0.585]
INFO - 10:04:45: 5%|▍ | 12/250 [00:00<00:00, 356.60 it/sec, feas=True, obj=0.585]
INFO - 10:04:45: 5%|▌ | 13/250 [00:00<00:00, 356.30 it/sec, feas=True, obj=0.585]
INFO - 10:04:45: 6%|▌ | 14/250 [00:00<00:00, 353.34 it/sec, feas=True, obj=0.585]
INFO - 10:04:45: 6%|▌ | 15/250 [00:00<00:00, 352.80 it/sec, feas=True, obj=0.584]
INFO - 10:04:45: 6%|▋ | 16/250 [00:00<00:00, 353.22 it/sec, feas=True, obj=0.632]
INFO - 10:04:45: 7%|▋ | 17/250 [00:00<00:00, 352.10 it/sec, feas=True, obj=0.584]
INFO - 10:04:45: 7%|▋ | 18/250 [00:00<00:00, 352.39 it/sec, feas=True, obj=0.584]
INFO - 10:04:45: 8%|▊ | 19/250 [00:00<00:00, 351.48 it/sec, feas=True, obj=0.658]
INFO - 10:04:45: 8%|▊ | 20/250 [00:00<00:00, 350.95 it/sec, feas=True, obj=0.583]
INFO - 10:04:45: 8%|▊ | 21/250 [00:00<00:00, 351.45 it/sec, feas=True, obj=0.584]
INFO - 10:04:45: 9%|▉ | 22/250 [00:00<00:00, 350.44 it/sec, feas=True, obj=0.583]
INFO - 10:04:45: 9%|▉ | 23/250 [00:00<00:00, 350.11 it/sec, feas=True, obj=0.639]
INFO - 10:04:45: 10%|▉ | 24/250 [00:00<00:00, 350.21 it/sec, feas=True, obj=0.583]
INFO - 10:04:45: 10%|█ | 25/250 [00:00<00:00, 349.56 it/sec, feas=True, obj=0.646]
INFO - 10:04:45: 10%|█ | 26/250 [00:00<00:00, 349.07 it/sec, feas=True, obj=0.583]
INFO - 10:04:45: 11%|█ | 27/250 [00:00<00:00, 349.41 it/sec, feas=True, obj=0.578]
INFO - 10:04:45: 11%|█ | 28/250 [00:00<00:00, 348.96 it/sec, feas=True, obj=0.621]
INFO - 10:04:45: 12%|█▏ | 29/250 [00:00<00:00, 349.39 it/sec, feas=True, obj=0.577]
INFO - 10:04:45: 12%|█▏ | 30/250 [00:00<00:00, 349.65 it/sec, feas=True, obj=0.577]
INFO - 10:04:45: 12%|█▏ | 31/250 [00:00<00:00, 349.94 it/sec, feas=True, obj=4.96]
INFO - 10:04:45: 13%|█▎ | 32/250 [00:00<00:00, 350.18 it/sec, feas=True, obj=0.623]
INFO - 10:04:45: 13%|█▎ | 33/250 [00:00<00:00, 349.78 it/sec, feas=True, obj=0.577]
INFO - 10:04:45: 14%|█▎ | 34/250 [00:00<00:00, 348.99 it/sec, feas=True, obj=0.574]
INFO - 10:04:45: 14%|█▍ | 35/250 [00:00<00:00, 348.81 it/sec, feas=True, obj=0.574]
INFO - 10:04:45: 14%|█▍ | 36/250 [00:00<00:00, 348.50 it/sec, feas=True, obj=0.574]
INFO - 10:04:45: 15%|█▍ | 37/250 [00:00<00:00, 348.41 it/sec, feas=True, obj=6.03]
INFO - 10:04:45: 15%|█▌ | 38/250 [00:00<00:00, 348.39 it/sec, feas=True, obj=0.563]
INFO - 10:04:45: 16%|█▌ | 39/250 [00:00<00:00, 347.62 it/sec, feas=True, obj=0.527]
INFO - 10:04:45: 16%|█▌ | 40/250 [00:00<00:00, 347.48 it/sec, feas=True, obj=0.503]
INFO - 10:04:45: 16%|█▋ | 41/250 [00:00<00:00, 347.49 it/sec, feas=True, obj=2.22]
INFO - 10:04:45: 17%|█▋ | 42/250 [00:00<00:00, 346.99 it/sec, feas=True, obj=0.491]
INFO - 10:04:45: 17%|█▋ | 43/250 [00:00<00:00, 347.03 it/sec, feas=True, obj=0.483]
INFO - 10:04:45: 18%|█▊ | 44/250 [00:00<00:00, 346.96 it/sec, feas=True, obj=0.46]
INFO - 10:04:45: 18%|█▊ | 45/250 [00:00<00:00, 347.24 it/sec, feas=True, obj=6.31]
INFO - 10:04:45: 18%|█▊ | 46/250 [00:00<00:00, 347.43 it/sec, feas=True, obj=0.447]
INFO - 10:04:45: 19%|█▉ | 47/250 [00:00<00:00, 347.75 it/sec, feas=True, obj=0.493]
INFO - 10:04:45: 19%|█▉ | 48/250 [00:00<00:00, 348.14 it/sec, feas=True, obj=0.438]
INFO - 10:04:45: 20%|█▉ | 49/250 [00:00<00:00, 348.43 it/sec, feas=True, obj=0.437]
INFO - 10:04:45: 20%|██ | 50/250 [00:00<00:00, 348.66 it/sec, feas=True, obj=0.435]
INFO - 10:04:45: 20%|██ | 51/250 [00:00<00:00, 348.81 it/sec, feas=True, obj=0.435]
INFO - 10:04:45: 21%|██ | 52/250 [00:00<00:00, 349.06 it/sec, feas=True, obj=1.7]
INFO - 10:04:45: 21%|██ | 53/250 [00:00<00:00, 348.91 it/sec, feas=True, obj=0.285]
INFO - 10:04:45: 22%|██▏ | 54/250 [00:00<00:00, 349.13 it/sec, feas=True, obj=0.193]
INFO - 10:04:45: 22%|██▏ | 55/250 [00:00<00:00, 349.20 it/sec, feas=True, obj=0.216]
INFO - 10:04:45: 22%|██▏ | 56/250 [00:00<00:00, 348.86 it/sec, feas=True, obj=0.139]
INFO - 10:04:45: 23%|██▎ | 57/250 [00:00<00:00, 348.48 it/sec, feas=True, obj=0.139]
INFO - 10:04:45: 23%|██▎ | 58/250 [00:00<00:00, 348.02 it/sec, feas=True, obj=0.139]
INFO - 10:04:45: 24%|██▎ | 59/250 [00:00<00:00, 347.94 it/sec, feas=True, obj=0.139]
INFO - 10:04:45: 24%|██▍ | 60/250 [00:00<00:00, 347.17 it/sec, feas=True, obj=0.139]
INFO - 10:04:45: 24%|██▍ | 61/250 [00:00<00:00, 347.11 it/sec, feas=True, obj=0.139]
INFO - 10:04:45: 25%|██▍ | 62/250 [00:00<00:00, 347.03 it/sec, feas=True, obj=0.139]
INFO - 10:04:45: Optimization result:
INFO - 10:04:45: Optimizer info:
INFO - 10:04:45: Status: None
INFO - 10:04:45: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:45: Solution:
INFO - 10:04:45: Objective: 0.13908665777739337
INFO - 10:04:45: Design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 0 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.008490837709901645 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 0.0001648859500057575 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 1946.298062848902 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 0.1419032582209494 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 0.3878522206484247 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Optimization problem:
INFO - 10:04:45: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:45: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:45: over the design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 0.000407049029732334 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.003151160131385176 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 0.0001978484988121533 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 1918.66340509816 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 2.425630286446258 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 7.080730934612159 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:45: 1%| | 2/250 [00:00<00:00, 372.03 it/sec, feas=True, obj=1]
INFO - 10:04:45: 1%| | 3/250 [00:00<00:00, 380.15 it/sec, feas=True, obj=0.738]
INFO - 10:04:45: 2%|▏ | 4/250 [00:00<00:00, 375.30 it/sec, feas=True, obj=0.867]
INFO - 10:04:45: 2%|▏ | 5/250 [00:00<00:00, 362.97 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 2%|▏ | 6/250 [00:00<00:00, 362.80 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 3%|▎ | 7/250 [00:00<00:00, 358.91 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 3%|▎ | 8/250 [00:00<00:00, 357.74 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 4%|▎ | 9/250 [00:00<00:00, 353.53 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: Optimization result:
INFO - 10:04:45: Optimizer info:
INFO - 10:04:45: Status: None
INFO - 10:04:45: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:45: Solution:
INFO - 10:04:45: Objective: 0.5859137966469091
INFO - 10:04:45: Design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 0.0002878131138001394 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.0007172887560930356 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 0.000203486252943796 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 1993.360177912354 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 0.1672686360777187 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 8.83745609604876 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Optimization problem:
INFO - 10:04:45: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:45: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:45: over the design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 0.0005763690965912142 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.007682066340686009 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 8.07467633883646e-05 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 186.4818737091886 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 1.720671591034137 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 6.258728338364227 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:45: 1%| | 2/250 [00:00<00:00, 363.57 it/sec, feas=True, obj=1]
INFO - 10:04:45: 1%| | 3/250 [00:00<00:00, 381.81 it/sec, feas=True, obj=0.795]
INFO - 10:04:45: 2%|▏ | 4/250 [00:00<00:00, 371.07 it/sec, feas=True, obj=1.02]
INFO - 10:04:45: 2%|▏ | 5/250 [00:00<00:00, 360.06 it/sec, feas=True, obj=0.587]
INFO - 10:04:45: 2%|▏ | 6/250 [00:00<00:00, 355.79 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 3%|▎ | 7/250 [00:00<00:00, 352.92 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 3%|▎ | 8/250 [00:00<00:00, 350.89 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: Optimization result:
INFO - 10:04:45: Optimizer info:
INFO - 10:04:45: Status: 0
INFO - 10:04:45: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:45: Solution:
INFO - 10:04:45: Objective: 0.5859138959626252
INFO - 10:04:45: Design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 0.000287810284745131 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.003179116346013381 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 7.687076797309719e-05 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 283.0484626436283 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 0.100001062904114 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 8.520215430068577 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Optimization problem:
INFO - 10:04:45: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:45: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:45: over the design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 8.466116771101273e-05 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.006223637073946818 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 7.688337269195372e-05 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 1951.825787239232 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 6.787332013229979 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 1.867656520116681 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:45: 1%| | 2/250 [00:00<00:00, 346.25 it/sec, feas=True, obj=1]
INFO - 10:04:45: 1%| | 3/250 [00:00<00:00, 351.65 it/sec, feas=True, obj=0.826]
INFO - 10:04:45: 2%|▏ | 4/250 [00:00<00:00, 349.43 it/sec, feas=True, obj=1.11]
INFO - 10:04:45: 2%|▏ | 5/250 [00:00<00:00, 348.66 it/sec, feas=True, obj=0.588]
INFO - 10:04:45: 2%|▏ | 6/250 [00:00<00:00, 344.80 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 3%|▎ | 7/250 [00:00<00:00, 345.52 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 3%|▎ | 8/250 [00:00<00:00, 345.16 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 4%|▎ | 9/250 [00:00<00:00, 342.70 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 4%|▍ | 10/250 [00:00<00:00, 342.81 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 4%|▍ | 11/250 [00:00<00:00, 343.35 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 5%|▍ | 12/250 [00:00<00:00, 341.25 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 5%|▌ | 13/250 [00:00<00:00, 340.82 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 6%|▌ | 14/250 [00:00<00:00, 341.00 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 6%|▌ | 15/250 [00:00<00:00, 339.59 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 6%|▋ | 16/250 [00:00<00:00, 339.66 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 7%|▋ | 17/250 [00:00<00:00, 339.65 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 7%|▋ | 18/250 [00:00<00:00, 338.53 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 8%|▊ | 19/250 [00:00<00:00, 338.75 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: Optimization result:
INFO - 10:04:45: Optimizer info:
INFO - 10:04:45: Status: None
INFO - 10:04:45: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:45: Solution:
INFO - 10:04:45: Objective: 0.58591389636068
INFO - 10:04:45: Design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 0.0002878108921788974 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.0001195046314541819 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 0.000113871183427795 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 2048.446106771913 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 0.1332342658705526 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 9.918917968462077 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Optimization problem:
INFO - 10:04:45: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:45: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:45: over the design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 0.0005659402832256203 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.0061348508601603 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 0.0002041101213290491 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 501.3616474809718 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 6.425630516779915 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 1.548411432916598 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:45: 1%| | 2/250 [00:00<00:00, 356.99 it/sec, feas=True, obj=0.587]
INFO - 10:04:45: 1%| | 3/250 [00:00<00:00, 367.93 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 2%|▏ | 4/250 [00:00<00:00, 355.73 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: 2%|▏ | 5/250 [00:00<00:00, 347.68 it/sec, feas=True, obj=0.586]
INFO - 10:04:45: Optimization result:
INFO - 10:04:45: Optimizer info:
INFO - 10:04:45: Status: 0
INFO - 10:04:45: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:45: Solution:
INFO - 10:04:45: Objective: 0.5859138960239552
INFO - 10:04:45: Design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 0.0002878102768478878 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.0001219976033014782 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 0.000201681794288332 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 1199.73391831396 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 10 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Optimization problem:
INFO - 10:04:45: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:45: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:45: over the design space:
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: | left_asymptote | 0 | 0.0001678623153604545 | 0.0008766314571631867 | float |
INFO - 10:04:45: | capacity | 0.0001131663373556318 | 0.00071838742790345 | 0.008766314571631866 | float |
INFO - 10:04:45: | growth_rate | 2.329124728008176e-05 | 0.0001872387438548026 | 0.0002096212255207359 | float |
INFO - 10:04:45: | x_lag | 0 | 229.3463711380117 | 2050.163789732353 | float |
INFO - 10:04:45: | logistic_nu | 0.1 | 7.841656902223648 | 10 | float |
INFO - 10:04:45: | asymptote_coeff | 0.1 | 5.549818106841609 | 10 | float |
INFO - 10:04:45: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:45: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:45: 1%| | 2/250 [00:00<00:00, 367.37 it/sec, feas=True, obj=0.843]
INFO - 10:04:46: 1%| | 3/250 [00:00<00:00, 383.13 it/sec, feas=True, obj=0.585]
INFO - 10:04:46: 2%|▏ | 4/250 [00:00<00:00, 376.64 it/sec, feas=True, obj=0.585]
INFO - 10:04:46: 2%|▏ | 5/250 [00:00<00:00, 373.59 it/sec, feas=True, obj=0.585]
INFO - 10:04:46: 2%|▏ | 6/250 [00:00<00:00, 367.22 it/sec, feas=True, obj=0.585]
INFO - 10:04:46: 3%|▎ | 7/250 [00:00<00:00, 367.09 it/sec, feas=True, obj=0.585]
INFO - 10:04:46: 3%|▎ | 8/250 [00:00<00:00, 366.47 it/sec, feas=True, obj=0.585]
INFO - 10:04:46: 4%|▎ | 9/250 [00:00<00:00, 365.39 it/sec, feas=True, obj=0.585]
INFO - 10:04:46: 4%|▍ | 10/250 [00:00<00:00, 362.35 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 4%|▍ | 11/250 [00:00<00:00, 362.55 it/sec, feas=True, obj=0.585]
INFO - 10:04:46: 5%|▍ | 12/250 [00:00<00:00, 360.58 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 5%|▌ | 13/250 [00:00<00:00, 358.65 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 6%|▌ | 14/250 [00:00<00:00, 358.78 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 6%|▌ | 15/250 [00:00<00:00, 357.77 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 6%|▋ | 16/250 [00:00<00:00, 356.60 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 7%|▋ | 17/250 [00:00<00:00, 355.71 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 7%|▋ | 18/250 [00:00<00:00, 355.11 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 8%|▊ | 19/250 [00:00<00:00, 354.88 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 8%|▊ | 20/250 [00:00<00:00, 353.50 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 8%|▊ | 21/250 [00:00<00:00, 352.98 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 9%|▉ | 22/250 [00:00<00:00, 352.93 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 9%|▉ | 23/250 [00:00<00:00, 351.77 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 10%|▉ | 24/250 [00:00<00:00, 351.66 it/sec, feas=True, obj=0.583]
INFO - 10:04:46: 10%|█ | 25/250 [00:00<00:00, 351.41 it/sec, feas=True, obj=0.59]
INFO - 10:04:46: 10%|█ | 26/250 [00:00<00:00, 351.61 it/sec, feas=True, obj=0.583]
INFO - 10:04:46: 11%|█ | 27/250 [00:00<00:00, 351.88 it/sec, feas=True, obj=0.583]
INFO - 10:04:46: 11%|█ | 28/250 [00:00<00:00, 350.87 it/sec, feas=True, obj=0.583]
INFO - 10:04:46: 12%|█▏ | 29/250 [00:00<00:00, 349.95 it/sec, feas=True, obj=1]
INFO - 10:04:46: 12%|█▏ | 30/250 [00:00<00:00, 350.16 it/sec, feas=True, obj=0.583]
INFO - 10:04:46: 12%|█▏ | 31/250 [00:00<00:00, 350.48 it/sec, feas=True, obj=0.661]
INFO - 10:04:46: 13%|█▎ | 32/250 [00:00<00:00, 349.76 it/sec, feas=True, obj=0.583]
INFO - 10:04:46: 13%|█▎ | 33/250 [00:00<00:00, 350.13 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 14%|█▎ | 34/250 [00:00<00:00, 350.32 it/sec, feas=True, obj=0.583]
INFO - 10:04:46: 14%|█▍ | 35/250 [00:00<00:00, 350.47 it/sec, feas=True, obj=0.583]
INFO - 10:04:46: 14%|█▍ | 36/250 [00:00<00:00, 350.11 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 15%|█▍ | 37/250 [00:00<00:00, 350.07 it/sec, feas=True, obj=0.582]
INFO - 10:04:46: 15%|█▌ | 38/250 [00:00<00:00, 350.35 it/sec, feas=True, obj=0.618]
INFO - 10:04:46: 16%|█▌ | 39/250 [00:00<00:00, 349.86 it/sec, feas=True, obj=0.582]
INFO - 10:04:46: 16%|█▌ | 40/250 [00:00<00:00, 350.20 it/sec, feas=True, obj=0.583]
INFO - 10:04:46: 16%|█▋ | 41/250 [00:00<00:00, 350.33 it/sec, feas=True, obj=0.582]
INFO - 10:04:46: 17%|█▋ | 42/250 [00:00<00:00, 350.15 it/sec, feas=True, obj=0.591]
INFO - 10:04:46: 17%|█▋ | 43/250 [00:00<00:00, 349.94 it/sec, feas=True, obj=0.582]
INFO - 10:04:46: 18%|█▊ | 44/250 [00:00<00:00, 349.73 it/sec, feas=True, obj=0.62]
INFO - 10:04:46: 18%|█▊ | 45/250 [00:00<00:00, 349.42 it/sec, feas=True, obj=0.582]
INFO - 10:04:46: 18%|█▊ | 46/250 [00:00<00:00, 348.85 it/sec, feas=True, obj=0.585]
INFO - 10:04:46: 19%|█▉ | 47/250 [00:00<00:00, 348.64 it/sec, feas=True, obj=0.582]
INFO - 10:04:46: 19%|█▉ | 48/250 [00:00<00:00, 348.36 it/sec, feas=True, obj=0.582]
INFO - 10:04:46: 20%|█▉ | 49/250 [00:00<00:00, 347.78 it/sec, feas=True, obj=0.701]
INFO - 10:04:46: 20%|██ | 50/250 [00:00<00:00, 347.68 it/sec, feas=True, obj=0.582]
INFO - 10:04:46: 20%|██ | 51/250 [00:00<00:00, 347.64 it/sec, feas=True, obj=0.595]
INFO - 10:04:46: 21%|██ | 52/250 [00:00<00:00, 347.04 it/sec, feas=True, obj=0.582]
INFO - 10:04:46: 21%|██ | 53/250 [00:00<00:00, 347.00 it/sec, feas=True, obj=0.581]
INFO - 10:04:46: 22%|██▏ | 54/250 [00:00<00:00, 346.82 it/sec, feas=True, obj=0.581]
INFO - 10:04:46: 22%|██▏ | 55/250 [00:00<00:00, 346.79 it/sec, feas=True, obj=0.645]
INFO - 10:04:46: 22%|██▏ | 56/250 [00:00<00:00, 346.29 it/sec, feas=True, obj=0.581]
INFO - 10:04:46: 23%|██▎ | 57/250 [00:00<00:00, 346.19 it/sec, feas=True, obj=0.581]
INFO - 10:04:46: 23%|██▎ | 58/250 [00:00<00:00, 346.07 it/sec, feas=True, obj=0.581]
INFO - 10:04:46: 24%|██▎ | 59/250 [00:00<00:00, 345.65 it/sec, feas=True, obj=0.621]
INFO - 10:04:46: 24%|██▍ | 60/250 [00:00<00:00, 345.59 it/sec, feas=True, obj=0.581]
INFO - 10:04:46: 24%|██▍ | 61/250 [00:00<00:00, 345.57 it/sec, feas=True, obj=0.581]
INFO - 10:04:46: 25%|██▍ | 62/250 [00:00<00:00, 345.14 it/sec, feas=True, obj=0.581]
INFO - 10:04:46: 25%|██▌ | 63/250 [00:00<00:00, 345.09 it/sec, feas=True, obj=0.58]
INFO - 10:04:46: 26%|██▌ | 64/250 [00:00<00:00, 345.02 it/sec, feas=True, obj=0.58]
INFO - 10:04:46: 26%|██▌ | 65/250 [00:00<00:00, 344.70 it/sec, feas=True, obj=0.582]
INFO - 10:04:46: 26%|██▋ | 66/250 [00:00<00:00, 344.67 it/sec, feas=True, obj=0.58]
INFO - 10:04:46: 27%|██▋ | 67/250 [00:00<00:00, 344.57 it/sec, feas=True, obj=0.58]
INFO - 10:04:46: 27%|██▋ | 68/250 [00:00<00:00, 344.29 it/sec, feas=True, obj=0.58]
INFO - 10:04:46: 28%|██▊ | 69/250 [00:00<00:00, 344.24 it/sec, feas=True, obj=0.579]
INFO - 10:04:46: 28%|██▊ | 70/250 [00:00<00:00, 344.45 it/sec, feas=True, obj=0.579]
INFO - 10:04:46: 28%|██▊ | 71/250 [00:00<00:00, 344.31 it/sec, feas=True, obj=0.707]
INFO - 10:04:46: 29%|██▉ | 72/250 [00:00<00:00, 344.32 it/sec, feas=True, obj=0.578]
INFO - 10:04:46: 29%|██▉ | 73/250 [00:00<00:00, 344.53 it/sec, feas=True, obj=0.59]
INFO - 10:04:46: 30%|██▉ | 74/250 [00:00<00:00, 344.65 it/sec, feas=True, obj=0.578]
INFO - 10:04:46: 30%|███ | 75/250 [00:00<00:00, 344.54 it/sec, feas=True, obj=0.863]
INFO - 10:04:46: 30%|███ | 76/250 [00:00<00:00, 344.69 it/sec, feas=True, obj=0.578]
INFO - 10:04:46: 31%|███ | 77/250 [00:00<00:00, 344.92 it/sec, feas=True, obj=0.577]
INFO - 10:04:46: 31%|███ | 78/250 [00:00<00:00, 344.71 it/sec, feas=True, obj=0.577]
INFO - 10:04:46: 32%|███▏ | 79/250 [00:00<00:00, 344.64 it/sec, feas=True, obj=0.576]
INFO - 10:04:46: 32%|███▏ | 80/250 [00:00<00:00, 344.84 it/sec, feas=True, obj=0.575]
INFO - 10:04:46: 32%|███▏ | 81/250 [00:00<00:00, 344.98 it/sec, feas=True, obj=0.575]
INFO - 10:04:46: 33%|███▎ | 82/250 [00:00<00:00, 344.81 it/sec, feas=True, obj=0.575]
INFO - 10:04:46: 33%|███▎ | 83/250 [00:00<00:00, 344.71 it/sec, feas=True, obj=0.574]
INFO - 10:04:46: 34%|███▎ | 84/250 [00:00<00:00, 344.81 it/sec, feas=True, obj=0.569]
INFO - 10:04:46: 34%|███▍ | 85/250 [00:00<00:00, 344.69 it/sec, feas=True, obj=7.65]
INFO - 10:04:46: 34%|███▍ | 86/250 [00:00<00:00, 344.78 it/sec, feas=True, obj=0.568]
INFO - 10:04:46: 35%|███▍ | 87/250 [00:00<00:00, 344.91 it/sec, feas=True, obj=0.566]
INFO - 10:04:46: 35%|███▌ | 88/250 [00:00<00:00, 345.07 it/sec, feas=True, obj=0.491]
INFO - 10:04:46: 36%|███▌ | 89/250 [00:00<00:00, 345.08 it/sec, feas=True, obj=9.82]
INFO - 10:04:46: 36%|███▌ | 90/250 [00:00<00:00, 345.08 it/sec, feas=True, obj=0.499]
INFO - 10:04:46: 36%|███▋ | 91/250 [00:00<00:00, 344.98 it/sec, feas=True, obj=0.482]
INFO - 10:04:46: 37%|███▋ | 92/250 [00:00<00:00, 344.69 it/sec, feas=True, obj=1.7]
INFO - 10:04:46: 37%|███▋ | 93/250 [00:00<00:00, 344.66 it/sec, feas=True, obj=0.385]
INFO - 10:04:46: 38%|███▊ | 94/250 [00:00<00:00, 344.66 it/sec, feas=True, obj=0.167]
INFO - 10:04:46: 38%|███▊ | 95/250 [00:00<00:00, 344.41 it/sec, feas=True, obj=0.167]
INFO - 10:04:46: 38%|███▊ | 96/250 [00:00<00:00, 344.22 it/sec, feas=True, obj=0.144]
INFO - 10:04:46: 39%|███▉ | 97/250 [00:00<00:00, 344.16 it/sec, feas=True, obj=0.14]
INFO - 10:04:46: 39%|███▉ | 98/250 [00:00<00:00, 344.13 it/sec, feas=True, obj=0.81]
INFO - 10:04:46: 40%|███▉ | 99/250 [00:00<00:00, 343.90 it/sec, feas=True, obj=9.11]
INFO - 10:04:46: 40%|████ | 100/250 [00:00<00:00, 344.03 it/sec, feas=True, obj=6.4]
INFO - 10:04:46: 40%|████ | 101/250 [00:00<00:00, 344.17 it/sec, feas=True, obj=0.475]
INFO - 10:04:46: 41%|████ | 102/250 [00:00<00:00, 344.05 it/sec, feas=True, obj=0.135]
INFO - 10:04:46: 41%|████ | 103/250 [00:00<00:00, 341.60 it/sec, feas=True, obj=0.134]
INFO - 10:04:46: 42%|████▏ | 104/250 [00:00<00:00, 341.75 it/sec, feas=True, obj=7.93]
INFO - 10:04:46: 42%|████▏ | 105/250 [00:00<00:00, 341.74 it/sec, feas=True, obj=4.16]
INFO - 10:04:46: 42%|████▏ | 106/250 [00:00<00:00, 341.90 it/sec, feas=True, obj=0.143]
INFO - 10:04:46: 43%|████▎ | 107/250 [00:00<00:00, 341.27 it/sec, feas=True, obj=0.134]
INFO - 10:04:46: 43%|████▎ | 108/250 [00:00<00:00, 341.41 it/sec, feas=True, obj=9.1]
INFO - 10:04:46: 44%|████▎ | 109/250 [00:00<00:00, 341.62 it/sec, feas=True, obj=0.156]
INFO - 10:04:46: 44%|████▍ | 110/250 [00:00<00:00, 341.61 it/sec, feas=True, obj=0.134]
INFO - 10:04:46: 44%|████▍ | 111/250 [00:00<00:00, 341.69 it/sec, feas=True, obj=9.57]
INFO - 10:04:46: 45%|████▍ | 112/250 [00:00<00:00, 341.80 it/sec, feas=True, obj=0.134]
INFO - 10:04:46: 45%|████▌ | 113/250 [00:00<00:00, 340.84 it/sec, feas=True, obj=0.134]
INFO - 10:04:46: 46%|████▌ | 114/250 [00:00<00:00, 340.99 it/sec, feas=True, obj=9.6]
INFO - 10:04:46: 46%|████▌ | 115/250 [00:00<00:00, 341.18 it/sec, feas=True, obj=0.134]
INFO - 10:04:46: 46%|████▋ | 116/250 [00:00<00:00, 341.18 it/sec, feas=True, obj=0.134]
INFO - 10:04:46: 47%|████▋ | 117/250 [00:00<00:00, 341.21 it/sec, feas=True, obj=0.133]
INFO - 10:04:46: 47%|████▋ | 118/250 [00:00<00:00, 339.72 it/sec, feas=True, obj=7.94]
INFO - 10:04:46: 48%|████▊ | 119/250 [00:00<00:00, 339.82 it/sec, feas=True, obj=4.21]
INFO - 10:04:46: 48%|████▊ | 120/250 [00:00<00:00, 340.00 it/sec, feas=True, obj=0.143]
INFO - 10:04:46: 48%|████▊ | 121/250 [00:00<00:00, 340.04 it/sec, feas=True, obj=0.133]
INFO - 10:04:46: 49%|████▉ | 122/250 [00:00<00:00, 340.24 it/sec, feas=True, obj=9.06]
INFO - 10:04:46: 49%|████▉ | 123/250 [00:00<00:00, 340.50 it/sec, feas=True, obj=0.161]
INFO - 10:04:46: 50%|████▉ | 124/250 [00:00<00:00, 340.54 it/sec, feas=True, obj=0.133]
INFO - 10:04:46: 50%|█████ | 125/250 [00:00<00:00, 340.73 it/sec, feas=True, obj=9.56]
INFO - 10:04:46: 50%|█████ | 126/250 [00:00<00:00, 340.91 it/sec, feas=True, obj=0.133]
INFO - 10:04:46: 51%|█████ | 127/250 [00:00<00:00, 340.97 it/sec, feas=True, obj=0.133]
INFO - 10:04:46: 51%|█████ | 128/250 [00:00<00:00, 341.16 it/sec, feas=True, obj=9.6]
INFO - 10:04:46: 52%|█████▏ | 129/250 [00:00<00:00, 341.07 it/sec, feas=True, obj=0.133]
INFO - 10:04:46: 52%|█████▏ | 130/250 [00:00<00:00, 341.02 it/sec, feas=True, obj=0.133]
INFO - 10:04:46: 52%|█████▏ | 131/250 [00:00<00:00, 341.01 it/sec, feas=True, obj=9.6]
INFO - 10:04:46: 53%|█████▎ | 132/250 [00:00<00:00, 341.08 it/sec, feas=True, obj=0.133]
INFO - 10:04:46: 53%|█████▎ | 133/250 [00:00<00:00, 341.10 it/sec, feas=True, obj=0.133]
INFO - 10:04:46: 54%|█████▎ | 134/250 [00:00<00:00, 341.24 it/sec, feas=True, obj=0.133]
INFO - 10:04:46: Optimization result:
INFO - 10:04:46: Optimizer info:
INFO - 10:04:46: Status: None
INFO - 10:04:46: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:46: Solution:
INFO - 10:04:46: Objective: 0.1329311791309453
INFO - 10:04:46: Design space:
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: | left_asymptote | 0 | 1.305987525634932e-09 | 0.0008766314571631867 | float |
INFO - 10:04:46: | capacity | 0.0001131663373556318 | 0.008551625608092778 | 0.008766314571631866 | float |
INFO - 10:04:46: | growth_rate | 2.329124728008176e-05 | 0.0002096212255207359 | 0.0002096212255207359 | float |
INFO - 10:04:46: | x_lag | 0 | 1751.466488429779 | 2050.163789732353 | float |
INFO - 10:04:46: | logistic_nu | 0.1 | 0.1485772826599327 | 10 | float |
INFO - 10:04:46: | asymptote_coeff | 0.1 | 0.4425292717500081 | 10 | float |
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: Optimization problem:
INFO - 10:04:46: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:46: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:46: over the design space:
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: | left_asymptote | 0 | 3.609165274303372e-05 | 0.0008766314571631867 | float |
INFO - 10:04:46: | capacity | 0.0001131663373556318 | 0.002265958929154616 | 0.008766314571631866 | float |
INFO - 10:04:46: | growth_rate | 2.329124728008176e-05 | 0.0001319048012208606 | 0.0002096212255207359 | float |
INFO - 10:04:46: | x_lag | 0 | 1274.901774481295 | 2050.163789732353 | float |
INFO - 10:04:46: | logistic_nu | 0.1 | 5.62268233127262 | 10 | float |
INFO - 10:04:46: | asymptote_coeff | 0.1 | 8.355177201624285 | 10 | float |
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:46: 1%| | 2/250 [00:00<00:00, 392.84 it/sec, feas=True, obj=1]
INFO - 10:04:46: 1%| | 3/250 [00:00<00:00, 403.39 it/sec, feas=True, obj=0.918]
INFO - 10:04:46: 2%|▏ | 4/250 [00:00<00:00, 394.66 it/sec, feas=True, obj=0.655]
INFO - 10:04:46: 2%|▏ | 5/250 [00:00<00:00, 389.71 it/sec, feas=True, obj=0.677]
INFO - 10:04:46: 2%|▏ | 6/250 [00:00<00:00, 385.69 it/sec, feas=True, obj=0.586]
INFO - 10:04:46: 3%|▎ | 7/250 [00:00<00:00, 382.65 it/sec, feas=True, obj=0.586]
INFO - 10:04:46: 3%|▎ | 8/250 [00:00<00:00, 380.82 it/sec, feas=True, obj=0.586]
INFO - 10:04:46: 4%|▎ | 9/250 [00:00<00:00, 379.12 it/sec, feas=True, obj=0.586]
INFO - 10:04:46: 4%|▍ | 10/250 [00:00<00:00, 362.59 it/sec, feas=True, obj=0.586]
INFO - 10:04:46: 4%|▍ | 11/250 [00:00<00:00, 362.46 it/sec, feas=True, obj=0.586]
INFO - 10:04:46: 5%|▍ | 12/250 [00:00<00:00, 363.16 it/sec, feas=True, obj=0.586]
INFO - 10:04:46: 5%|▌ | 13/250 [00:00<00:00, 363.42 it/sec, feas=True, obj=0.586]
INFO - 10:04:46: 6%|▌ | 14/250 [00:00<00:00, 363.55 it/sec, feas=True, obj=0.586]
INFO - 10:04:46: 6%|▌ | 15/250 [00:00<00:00, 345.08 it/sec, feas=True, obj=0.586]
INFO - 10:04:46: 6%|▋ | 16/250 [00:00<00:00, 345.03 it/sec, feas=True, obj=0.586]
INFO - 10:04:46: 7%|▋ | 17/250 [00:00<00:00, 345.80 it/sec, feas=True, obj=0.586]
INFO - 10:04:46: 7%|▋ | 18/250 [00:00<00:00, 346.61 it/sec, feas=True, obj=0.586]
INFO - 10:04:46: Optimization result:
INFO - 10:04:46: Optimizer info:
INFO - 10:04:46: Status: None
INFO - 10:04:46: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:46: Solution:
INFO - 10:04:46: Objective: 0.5859138965752165
INFO - 10:04:46: Design space:
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: | left_asymptote | 0 | 0.0002878101344515354 | 0.0008766314571631867 | float |
INFO - 10:04:46: | capacity | 0.0001131663373556318 | 0.0001362275677871086 | 0.008766314571631866 | float |
INFO - 10:04:46: | growth_rate | 2.329124728008176e-05 | 0.0001340882357260761 | 0.0002096212255207359 | float |
INFO - 10:04:46: | x_lag | 0 | 1321.37711351891 | 2050.163789732353 | float |
INFO - 10:04:46: | logistic_nu | 0.1 | 0.1371916207672776 | 10 | float |
INFO - 10:04:46: | asymptote_coeff | 0.1 | 9.968580458165269 | 10 | float |
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: Optimization problem:
INFO - 10:04:46: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:46: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:46: over the design space:
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: | left_asymptote | 0 | 0.0007817788355598073 | 0.0008766314571631867 | float |
INFO - 10:04:46: | capacity | 0.0001131663373556318 | 0.005310567125677042 | 0.008766314571631866 | float |
INFO - 10:04:46: | growth_rate | 2.329124728008176e-05 | 0.0001779422469648281 | 0.0002096212255207359 | float |
INFO - 10:04:46: | x_lag | 0 | 1110.728218100353 | 2050.163789732353 | float |
INFO - 10:04:46: | logistic_nu | 0.1 | 0.8873151181548338 | 10 | float |
INFO - 10:04:46: | asymptote_coeff | 0.1 | 3.019796092071068 | 10 | float |
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:46: 1%| | 2/250 [00:00<00:00, 340.56 it/sec, feas=True, obj=1]
INFO - 10:04:46: 1%| | 3/250 [00:00<00:00, 354.51 it/sec, feas=True, obj=0.646]
INFO - 10:04:46: 2%|▏ | 4/250 [00:00<00:00, 351.35 it/sec, feas=True, obj=0.662]
INFO - 10:04:46: 2%|▏ | 5/250 [00:00<00:00, 351.25 it/sec, feas=True, obj=0.586]
INFO - 10:04:46: 2%|▏ | 6/250 [00:00<00:00, 350.79 it/sec, feas=True, obj=0.586]
INFO - 10:04:46: 3%|▎ | 7/250 [00:00<00:00, 348.94 it/sec, feas=True, obj=0.586]
INFO - 10:04:46: Optimization result:
INFO - 10:04:46: Optimizer info:
INFO - 10:04:46: Status: 0
INFO - 10:04:46: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:46: Solution:
INFO - 10:04:46: Objective: 0.5859138957985244
INFO - 10:04:46: Design space:
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: | left_asymptote | 0 | 0.0002878102831269148 | 0.0008766314571631867 | float |
INFO - 10:04:46: | capacity | 0.0001131663373556318 | 0.00188103734202543 | 0.008766314571631866 | float |
INFO - 10:04:46: | growth_rate | 2.329124728008176e-05 | 0.0001877363557128979 | 0.0002096212255207359 | float |
INFO - 10:04:46: | x_lag | 0 | 1486.356345377516 | 2050.163789732353 | float |
INFO - 10:04:46: | logistic_nu | 0.1 | 0.1000011855605309 | 10 | float |
INFO - 10:04:46: | asymptote_coeff | 0.1 | 7.640282181751144 | 10 | float |
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: Optimization problem:
INFO - 10:04:46: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:46: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:46: over the design space:
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: | left_asymptote | 0 | 0.0004726184984800983 | 0.0008766314571631867 | float |
INFO - 10:04:46: | capacity | 0.0001131663373556318 | 0.007348002762299909 | 0.008766314571631866 | float |
INFO - 10:04:46: | growth_rate | 2.329124728008176e-05 | 0.000155253846008325 | 0.0002096212255207359 | float |
INFO - 10:04:46: | x_lag | 0 | 1178.332811160004 | 2050.163789732353 | float |
INFO - 10:04:46: | logistic_nu | 0.1 | 9.519289087607232 | 10 | float |
INFO - 10:04:46: | asymptote_coeff | 0.1 | 9.085777545900603 | 10 | float |
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:46: 1%| | 2/249 [00:00<00:00, 376.44 it/sec, feas=True, obj=0.989]
INFO - 10:04:46: 1%| | 3/249 [00:00<00:00, 386.10 it/sec, feas=True, obj=0.713]
INFO - 10:04:46: 2%|▏ | 4/249 [00:00<00:00, 373.86 it/sec, feas=True, obj=9.87]
INFO - 10:04:46: 2%|▏ | 5/249 [00:00<00:00, 367.43 it/sec, feas=True, obj=0.61]
INFO - 10:04:46: 2%|▏ | 6/249 [00:00<00:00, 364.72 it/sec, feas=True, obj=19.4]
INFO - 10:04:46: 3%|▎ | 7/249 [00:00<00:00, 362.99 it/sec, feas=True, obj=0.587]
INFO - 10:04:46: 3%|▎ | 8/249 [00:00<00:00, 361.71 it/sec, feas=True, obj=0.585]
INFO - 10:04:46: 4%|▎ | 9/249 [00:00<00:00, 360.41 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 4%|▍ | 10/249 [00:00<00:00, 358.07 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 4%|▍ | 11/249 [00:00<00:00, 358.56 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 5%|▍ | 12/249 [00:00<00:00, 359.14 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 5%|▌ | 13/249 [00:00<00:00, 360.39 it/sec, feas=True, obj=0.586]
INFO - 10:04:46: 6%|▌ | 14/249 [00:00<00:00, 360.56 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 6%|▌ | 15/249 [00:00<00:00, 361.00 it/sec, feas=True, obj=0.658]
INFO - 10:04:46: 6%|▋ | 16/249 [00:00<00:00, 361.59 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 7%|▋ | 17/249 [00:00<00:00, 362.20 it/sec, feas=True, obj=0.613]
INFO - 10:04:46: 7%|▋ | 18/249 [00:00<00:00, 362.44 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 8%|▊ | 19/249 [00:00<00:00, 362.77 it/sec, feas=True, obj=0.664]
INFO - 10:04:46: 8%|▊ | 20/249 [00:00<00:00, 363.35 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 8%|▊ | 21/249 [00:00<00:00, 363.51 it/sec, feas=True, obj=0.611]
INFO - 10:04:46: 9%|▉ | 22/249 [00:00<00:00, 363.54 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 9%|▉ | 23/249 [00:00<00:00, 358.05 it/sec, feas=True, obj=0.662]
INFO - 10:04:46: 10%|▉ | 24/249 [00:00<00:00, 358.64 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 10%|█ | 25/249 [00:00<00:00, 358.39 it/sec, feas=True, obj=0.615]
INFO - 10:04:46: 10%|█ | 26/249 [00:00<00:00, 357.93 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 11%|█ | 27/249 [00:00<00:00, 357.49 it/sec, feas=True, obj=0.586]
INFO - 10:04:46: 11%|█ | 28/249 [00:00<00:00, 355.67 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 12%|█▏ | 29/249 [00:00<00:00, 355.74 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 12%|█▏ | 30/249 [00:00<00:00, 356.14 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 12%|█▏ | 31/249 [00:00<00:00, 339.78 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 13%|█▎ | 32/249 [00:00<00:00, 340.59 it/sec, feas=True, obj=0.583]
INFO - 10:04:46: 13%|█▎ | 33/249 [00:00<00:00, 341.18 it/sec, feas=True, obj=0.583]
INFO - 10:04:46: 14%|█▎ | 34/249 [00:00<00:00, 341.44 it/sec, feas=True, obj=0.619]
INFO - 10:04:46: 14%|█▍ | 35/249 [00:00<00:00, 341.58 it/sec, feas=True, obj=0.583]
INFO - 10:04:46: 14%|█▍ | 36/249 [00:00<00:00, 338.13 it/sec, feas=True, obj=0.587]
INFO - 10:04:46: 15%|█▍ | 37/249 [00:00<00:00, 338.37 it/sec, feas=True, obj=0.582]
INFO - 10:04:46: 15%|█▌ | 38/249 [00:00<00:00, 339.05 it/sec, feas=True, obj=0.581]
INFO - 10:04:46: 16%|█▌ | 39/249 [00:00<00:00, 338.43 it/sec, feas=True, obj=0.578]
INFO - 10:04:46: 16%|█▌ | 40/249 [00:00<00:00, 338.92 it/sec, feas=True, obj=0.558]
INFO - 10:04:46: 16%|█▋ | 41/249 [00:00<00:00, 339.43 it/sec, feas=True, obj=0.631]
INFO - 10:04:46: 17%|█▋ | 42/249 [00:00<00:00, 339.42 it/sec, feas=True, obj=0.557]
INFO - 10:04:46: 17%|█▋ | 43/249 [00:00<00:00, 339.02 it/sec, feas=True, obj=0.557]
INFO - 10:04:46: 18%|█▊ | 44/249 [00:00<00:00, 335.34 it/sec, feas=True, obj=0.557]
INFO - 10:04:46: 18%|█▊ | 45/249 [00:00<00:00, 335.28 it/sec, feas=True, obj=0.554]
INFO - 10:04:46: 18%|█▊ | 46/249 [00:00<00:00, 335.45 it/sec, feas=True, obj=0.553]
INFO - 10:04:46: 19%|█▉ | 47/249 [00:00<00:00, 336.05 it/sec, feas=True, obj=0.548]
INFO - 10:04:46: 19%|█▉ | 48/249 [00:00<00:00, 336.30 it/sec, feas=True, obj=0.589]
INFO - 10:04:46: 20%|█▉ | 49/249 [00:00<00:00, 336.73 it/sec, feas=True, obj=0.544]
INFO - 10:04:46: 20%|██ | 50/249 [00:00<00:00, 337.32 it/sec, feas=True, obj=0.584]
INFO - 10:04:46: 20%|██ | 51/249 [00:00<00:00, 337.84 it/sec, feas=True, obj=0.542]
INFO - 10:04:46: 21%|██ | 52/249 [00:00<00:00, 338.29 it/sec, feas=True, obj=0.537]
INFO - 10:04:46: 21%|██▏ | 53/249 [00:00<00:00, 338.79 it/sec, feas=True, obj=9.8]
INFO - 10:04:46: 22%|██▏ | 54/249 [00:00<00:00, 339.21 it/sec, feas=True, obj=0.532]
INFO - 10:04:46: 22%|██▏ | 55/249 [00:00<00:00, 339.64 it/sec, feas=True, obj=0.531]
INFO - 10:04:46: 22%|██▏ | 56/249 [00:00<00:00, 340.11 it/sec, feas=True, obj=3.31]
INFO - 10:04:46: 23%|██▎ | 57/249 [00:00<00:00, 340.41 it/sec, feas=True, obj=0.52]
INFO - 10:04:46: 23%|██▎ | 58/249 [00:00<00:00, 340.65 it/sec, feas=True, obj=0.483]
INFO - 10:04:46: 24%|██▎ | 59/249 [00:00<00:00, 340.35 it/sec, feas=True, obj=18]
INFO - 10:04:46: 24%|██▍ | 60/249 [00:00<00:00, 340.68 it/sec, feas=True, obj=0.382]
INFO - 10:04:46: 24%|██▍ | 61/249 [00:00<00:00, 340.86 it/sec, feas=True, obj=0.54]
INFO - 10:04:46: 25%|██▍ | 62/249 [00:00<00:00, 340.87 it/sec, feas=True, obj=0.343]
INFO - 10:04:46: 25%|██▌ | 63/249 [00:00<00:00, 341.03 it/sec, feas=True, obj=2.28]
INFO - 10:04:46: 26%|██▌ | 64/249 [00:00<00:00, 341.28 it/sec, feas=True, obj=0.257]
INFO - 10:04:46: 26%|██▌ | 65/249 [00:00<00:00, 341.48 it/sec, feas=True, obj=0.372]
INFO - 10:04:46: 27%|██▋ | 66/249 [00:00<00:00, 341.76 it/sec, feas=True, obj=0.143]
INFO - 10:04:46: 27%|██▋ | 67/249 [00:00<00:00, 342.12 it/sec, feas=True, obj=51.4]
INFO - 10:04:46: 27%|██▋ | 68/249 [00:00<00:00, 342.26 it/sec, feas=True, obj=0.737]
INFO - 10:04:46: 28%|██▊ | 69/249 [00:00<00:00, 342.53 it/sec, feas=True, obj=0.136]
INFO - 10:04:46: 28%|██▊ | 70/249 [00:00<00:00, 342.69 it/sec, feas=True, obj=1.7]
INFO - 10:04:46: 29%|██▊ | 71/249 [00:00<00:00, 343.02 it/sec, feas=True, obj=0.131]
INFO - 10:04:46: 29%|██▉ | 72/249 [00:00<00:00, 343.04 it/sec, feas=True, obj=0.196]
INFO - 10:04:46: 29%|██▉ | 73/249 [00:00<00:00, 343.25 it/sec, feas=True, obj=0.121]
INFO - 10:04:46: 30%|██▉ | 74/249 [00:00<00:00, 343.33 it/sec, feas=True, obj=0.129]
INFO - 10:04:46: 30%|███ | 75/249 [00:00<00:00, 343.09 it/sec, feas=True, obj=0.121]
INFO - 10:04:46: 31%|███ | 76/249 [00:00<00:00, 343.12 it/sec, feas=True, obj=0.121]
INFO - 10:04:46: 31%|███ | 77/249 [00:00<00:00, 343.18 it/sec, feas=True, obj=0.12]
INFO - 10:04:46: 31%|███▏ | 78/249 [00:00<00:00, 343.24 it/sec, feas=True, obj=0.12]
INFO - 10:04:46: 32%|███▏ | 79/249 [00:00<00:00, 343.51 it/sec, feas=True, obj=0.12]
INFO - 10:04:46: 32%|███▏ | 80/249 [00:00<00:00, 343.64 it/sec, feas=True, obj=0.121]
INFO - 10:04:46: 33%|███▎ | 81/249 [00:00<00:00, 343.65 it/sec, feas=True, obj=0.12]
INFO - 10:04:46: 33%|███▎ | 82/249 [00:00<00:00, 343.75 it/sec, feas=True, obj=0.12]
INFO - 10:04:46: 33%|███▎ | 83/249 [00:00<00:00, 343.44 it/sec, feas=True, obj=0.12]
INFO - 10:04:46: 34%|███▎ | 84/249 [00:00<00:00, 343.44 it/sec, feas=True, obj=0.12]
INFO - 10:04:46: 34%|███▍ | 85/249 [00:00<00:00, 343.47 it/sec, feas=True, obj=0.12]
INFO - 10:04:46: 35%|███▍ | 86/249 [00:00<00:00, 343.54 it/sec, feas=True, obj=0.12]
INFO - 10:04:46: 35%|███▍ | 87/249 [00:00<00:00, 343.50 it/sec, feas=True, obj=0.119]
INFO - 10:04:46: 35%|███▌ | 88/249 [00:00<00:00, 343.52 it/sec, feas=True, obj=0.119]
INFO - 10:04:46: 36%|███▌ | 89/249 [00:00<00:00, 343.67 it/sec, feas=True, obj=0.288]
INFO - 10:04:46: 36%|███▌ | 90/249 [00:00<00:00, 343.72 it/sec, feas=True, obj=0.119]
INFO - 10:04:46: 37%|███▋ | 91/249 [00:00<00:00, 343.75 it/sec, feas=True, obj=0.119]
INFO - 10:04:46: 37%|███▋ | 92/249 [00:00<00:00, 343.74 it/sec, feas=True, obj=0.119]
INFO - 10:04:46: 37%|███▋ | 93/249 [00:00<00:00, 343.82 it/sec, feas=True, obj=0.119]
INFO - 10:04:46: 38%|███▊ | 94/249 [00:00<00:00, 343.94 it/sec, feas=True, obj=0.119]
INFO - 10:04:46: Optimization result:
INFO - 10:04:46: Optimizer info:
INFO - 10:04:46: Status: None
INFO - 10:04:46: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:46: Solution:
INFO - 10:04:46: Objective: 0.11919901758383433
INFO - 10:04:46: Design space:
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: | left_asymptote | 0 | 0 | 0.0008766314571631867 | float |
INFO - 10:04:46: | capacity | 0.0001131663373556318 | 0.008763765091080601 | 0.008766314571631866 | float |
INFO - 10:04:46: | growth_rate | 2.329124728008176e-05 | 0.0002096212255207359 | 0.0002096212255207359 | float |
INFO - 10:04:46: | x_lag | 0 | 0 | 2050.163789732353 | float |
INFO - 10:04:46: | logistic_nu | 0.1 | 0.1216450101366927 | 10 | float |
INFO - 10:04:46: | asymptote_coeff | 0.1 | 0.6673978455212526 | 10 | float |
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: Optimization result:
INFO - 10:04:46: Optimizer info:
INFO - 10:04:46: Status: None
INFO - 10:04:46: Message: None
INFO - 10:04:46: Solution:
INFO - 10:04:46: Objective: 0.11919901758383433
INFO - 10:04:46: Design space:
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: | left_asymptote | 0 | 0 | 0.0008766314571631867 | float |
INFO - 10:04:46: | capacity | 0.0001131663373556318 | 0.008763765091080601 | 0.008766314571631866 | float |
INFO - 10:04:46: | growth_rate | 2.329124728008176e-05 | 0.0002096212255207359 | 0.0002096212255207359 | float |
INFO - 10:04:46: | x_lag | 0 | 0 | 2050.163789732353 | float |
INFO - 10:04:46: | logistic_nu | 0.1 | 0.1216450101366927 | 10 | float |
INFO - 10:04:46: | asymptote_coeff | 0.1 | 0.6673978455212526 | 10 | float |
INFO - 10:04:46: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:46: *** End MDOScenario execution ***
IND {'left_asymptote': array([0.]), 'capacity': array([0.00876377]), 'growth_rate': array([0.00020962]), 'x_lag': array([0.]), 'logistic_nu': array([0.12164501]), 'asymptote_coeff': array([0.66739785])}
ICAO RPK data#
Now, we explore ICAO data on Revenue Passenger-Kilometers. The data here is only available on the global level.
results = run_global_rpk_calibration(plot_calibration=True)
print(results[0])
INFO - 10:04:47: *** Start MDOScenario execution ***
INFO - 10:04:47: MDOScenario
INFO - 10:04:47: Disciplines: JAXChain
INFO - 10:04:47: MDO formulation: DisciplinaryOpt
INFO - 10:04:47: Optimization problem:
INFO - 10:04:47: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:47: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:47: over the design space:
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: | left_asymptote | 0 | 0.0001247844987118294 | 0.001118996202615428 | float |
INFO - 10:04:47: | capacity | 0.0001247844987118294 | 0.001118996202615428 | 0.01118996202615428 | float |
INFO - 10:04:47: | growth_rate | 1.293433685408852e-05 | 6.467168427044259e-05 | 0.0001164090316867967 | float |
INFO - 10:04:47: | x_lag | 0 | 1133.045367049352 | 33991.36101148056 | float |
INFO - 10:04:47: | logistic_nu | 0.1 | 1 | 10 | float |
INFO - 10:04:47: | asymptote_coeff | 0.5 | 1 | 2 | float |
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: Solving optimization problem with algorithm MultiStart:
INFO - 10:04:47: Optimization problem:
INFO - 10:04:47: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:47: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:47: over the design space:
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: | left_asymptote | 0 | 0.0001074830689381703 | 0.001118996202615428 | float |
INFO - 10:04:47: | capacity | 0.0001247844987118294 | 0.002646205320586326 | 0.01118996202615428 | float |
INFO - 10:04:47: | growth_rate | 1.293433685408852e-05 | 7.745321271536466e-05 | 0.0001164090316867967 | float |
INFO - 10:04:47: | x_lag | 0 | 10623.27682599343 | 33991.36101148056 | float |
INFO - 10:04:47: | logistic_nu | 0.1 | 8.855365152878441 | 10 | float |
INFO - 10:04:47: | asymptote_coeff | 0.5 | 0.7843839093781164 | 2 | float |
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:47: 1%| | 3/500 [00:00<00:24, 20.15 it/sec, feas=True, obj=0.549]
INFO - 10:04:47: 1%| | 4/500 [00:00<00:18, 26.41 it/sec, feas=True, obj=0.529]
INFO - 10:04:47: 1%| | 5/500 [00:00<00:15, 32.50 it/sec, feas=True, obj=2.31]
INFO - 10:04:47: 1%| | 6/500 [00:00<00:12, 38.41 it/sec, feas=True, obj=0.454]
INFO - 10:04:47: 1%|▏ | 7/500 [00:00<00:11, 44.15 it/sec, feas=True, obj=0.454]
INFO - 10:04:47: 2%|▏ | 8/500 [00:00<00:09, 49.44 it/sec, feas=True, obj=0.453]
INFO - 10:04:47: 2%|▏ | 9/500 [00:00<00:08, 54.70 it/sec, feas=True, obj=0.452]
INFO - 10:04:47: 2%|▏ | 10/500 [00:00<00:08, 59.75 it/sec, feas=True, obj=0.448]
INFO - 10:04:47: 2%|▏ | 11/500 [00:00<00:07, 63.99 it/sec, feas=True, obj=0.444]
INFO - 10:04:47: 2%|▏ | 12/500 [00:00<00:07, 68.69 it/sec, feas=True, obj=0.421]
INFO - 10:04:47: 3%|▎ | 13/500 [00:00<00:06, 73.24 it/sec, feas=True, obj=0.419]
INFO - 10:04:47: 3%|▎ | 14/500 [00:00<00:06, 77.64 it/sec, feas=True, obj=0.413]
INFO - 10:04:47: 3%|▎ | 15/500 [00:00<00:05, 81.90 it/sec, feas=True, obj=1]
INFO - 10:04:47: 3%|▎ | 16/500 [00:00<00:05, 86.02 it/sec, feas=True, obj=0.405]
INFO - 10:04:47: 3%|▎ | 17/500 [00:00<00:05, 90.06 it/sec, feas=True, obj=1]
INFO - 10:04:47: 4%|▎ | 18/500 [00:00<00:05, 93.97 it/sec, feas=True, obj=0.402]
INFO - 10:04:47: 4%|▍ | 19/500 [00:00<00:04, 97.77 it/sec, feas=True, obj=0.5]
INFO - 10:04:47: 4%|▍ | 20/500 [00:00<00:04, 101.44 it/sec, feas=True, obj=0.388]
INFO - 10:04:47: 4%|▍ | 21/500 [00:00<00:04, 105.04 it/sec, feas=True, obj=1]
INFO - 10:04:47: 4%|▍ | 22/500 [00:00<00:04, 108.52 it/sec, feas=True, obj=0.385]
INFO - 10:04:47: 5%|▍ | 23/500 [00:00<00:04, 111.92 it/sec, feas=True, obj=0.538]
INFO - 10:04:47: 5%|▍ | 24/500 [00:00<00:04, 115.19 it/sec, feas=True, obj=0.378]
INFO - 10:04:47: 5%|▌ | 25/500 [00:00<00:04, 118.38 it/sec, feas=True, obj=0.392]
INFO - 10:04:47: 5%|▌ | 26/500 [00:00<00:03, 121.50 it/sec, feas=True, obj=0.359]
INFO - 10:04:47: 5%|▌ | 27/500 [00:00<00:03, 124.47 it/sec, feas=True, obj=0.305]
INFO - 10:04:47: 6%|▌ | 28/500 [00:00<00:03, 127.46 it/sec, feas=True, obj=0.286]
INFO - 10:04:47: 6%|▌ | 29/500 [00:00<00:03, 130.37 it/sec, feas=True, obj=0.999]
INFO - 10:04:47: 6%|▌ | 30/500 [00:00<00:03, 133.21 it/sec, feas=True, obj=0.279]
INFO - 10:04:47: 6%|▌ | 31/500 [00:00<00:03, 136.03 it/sec, feas=True, obj=0.382]
INFO - 10:04:47: 6%|▋ | 32/500 [00:00<00:03, 137.39 it/sec, feas=True, obj=0.246]
INFO - 10:04:47: 7%|▋ | 33/500 [00:00<00:03, 139.99 it/sec, feas=True, obj=0.997]
INFO - 10:04:47: 7%|▋ | 34/500 [00:00<00:03, 142.53 it/sec, feas=True, obj=0.246]
INFO - 10:04:47: 7%|▋ | 35/500 [00:00<00:03, 144.86 it/sec, feas=True, obj=0.246]
INFO - 10:04:47: 7%|▋ | 36/500 [00:00<00:03, 147.18 it/sec, feas=True, obj=0.246]
INFO - 10:04:47: 7%|▋ | 37/500 [00:00<00:03, 149.49 it/sec, feas=True, obj=0.246]
INFO - 10:04:47: Optimization result:
INFO - 10:04:47: Optimizer info:
INFO - 10:04:47: Status: None
INFO - 10:04:47: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:47: Solution:
INFO - 10:04:47: Objective: 0.24580648436271982
INFO - 10:04:47: Design space:
INFO - 10:04:47: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:47: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:47: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:47: | left_asymptote | 0 | 0 | 0.001118996202615428 | float |
INFO - 10:04:47: | capacity | 0.0001247844987118294 | 0.003322204990191571 | 0.01118996202615428 | float |
INFO - 10:04:47: | growth_rate | 1.293433685408852e-05 | 0.000110956566054656 | 0.0001164090316867967 | float |
INFO - 10:04:47: | x_lag | 0 | 16507.30656122664 | 33991.36101148056 | float |
INFO - 10:04:47: | logistic_nu | 0.1 | 0.8512251616128195 | 10 | float |
INFO - 10:04:47: | asymptote_coeff | 0.5 | 1.67616355455045 | 2 | float |
INFO - 10:04:47: +-----------------+-----------------------+----------------------+-----------------------+-------+
INFO - 10:04:47: Optimization problem:
INFO - 10:04:47: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:47: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:47: over the design space:
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: | left_asymptote | 0 | 0.0006178710285714009 | 0.001118996202615428 | float |
INFO - 10:04:47: | capacity | 0.0001247844987118294 | 0.006269537726620367 | 0.01118996202615428 | float |
INFO - 10:04:47: | growth_rate | 1.293433685408852e-05 | 0.0001160928377282885 | 0.0001164090316867967 | float |
INFO - 10:04:47: | x_lag | 0 | 14134.07043903807 | 33991.36101148056 | float |
INFO - 10:04:47: | logistic_nu | 0.1 | 1.668484416815452 | 10 | float |
INFO - 10:04:47: | asymptote_coeff | 0.5 | 1.978585807889154 | 2 | float |
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:47: 1%| | 3/500 [00:00<00:01, 405.82 it/sec, feas=True, obj=0.804]
INFO - 10:04:47: 1%| | 4/500 [00:00<00:01, 395.12 it/sec, feas=True, obj=0.583]
INFO - 10:04:47: 1%| | 5/500 [00:00<00:01, 390.76 it/sec, feas=True, obj=0.513]
INFO - 10:04:47: 1%| | 6/500 [00:00<00:01, 387.03 it/sec, feas=True, obj=0.495]
INFO - 10:04:47: 1%|▏ | 7/500 [00:00<00:01, 381.29 it/sec, feas=True, obj=0.494]
INFO - 10:04:47: 2%|▏ | 8/500 [00:00<00:01, 377.40 it/sec, feas=True, obj=0.494]
INFO - 10:04:47: 2%|▏ | 9/500 [00:00<00:01, 360.25 it/sec, feas=True, obj=0.494]
INFO - 10:04:47: 2%|▏ | 10/500 [00:00<00:01, 359.35 it/sec, feas=True, obj=0.494]
INFO - 10:04:47: Optimization result:
INFO - 10:04:47: Optimizer info:
INFO - 10:04:47: Status: None
INFO - 10:04:47: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:47: Solution:
INFO - 10:04:47: Objective: 0.4944263555090213
INFO - 10:04:47: Design space:
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: | left_asymptote | 0 | 0.0004651008913274694 | 0.001118996202615428 | float |
INFO - 10:04:47: | capacity | 0.0001247844987118294 | 0.002864281625352087 | 0.01118996202615428 | float |
INFO - 10:04:47: | growth_rate | 1.293433685408852e-05 | 0.0001164090316867967 | 0.0001164090316867967 | float |
INFO - 10:04:47: | x_lag | 0 | 24536.46058340629 | 33991.36101148056 | float |
INFO - 10:04:47: | logistic_nu | 0.1 | 0.1001112025224814 | 10 | float |
INFO - 10:04:47: | asymptote_coeff | 0.5 | 1.995863892031994 | 2 | float |
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: Optimization problem:
INFO - 10:04:47: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:47: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:47: over the design space:
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: | left_asymptote | 0 | 0.00105687262338892 | 0.001118996202615428 | float |
INFO - 10:04:47: | capacity | 0.0001247844987118294 | 0.00741591180794564 | 0.01118996202615428 | float |
INFO - 10:04:47: | growth_rate | 1.293433685408852e-05 | 2.671881313223555e-05 | 0.0001164090316867967 | float |
INFO - 10:04:47: | x_lag | 0 | 9589.085567713368 | 33991.36101148056 | float |
INFO - 10:04:47: | logistic_nu | 0.1 | 7.739745187505417 | 10 | float |
INFO - 10:04:47: | asymptote_coeff | 0.5 | 1.013430571614073 | 2 | float |
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:47: 1%| | 3/500 [00:00<00:01, 389.05 it/sec, feas=True, obj=0.734]
INFO - 10:04:47: 1%| | 4/500 [00:00<00:01, 376.07 it/sec, feas=True, obj=0.574]
INFO - 10:04:47: 1%| | 5/500 [00:00<00:01, 371.31 it/sec, feas=True, obj=0.599]
INFO - 10:04:47: 1%| | 6/500 [00:00<00:01, 370.40 it/sec, feas=True, obj=0.494]
INFO - 10:04:47: 1%|▏ | 7/500 [00:00<00:01, 370.36 it/sec, feas=True, obj=0.494]
INFO - 10:04:47: 2%|▏ | 8/500 [00:00<00:01, 366.53 it/sec, feas=True, obj=0.494]
INFO - 10:04:47: Optimization result:
INFO - 10:04:47: Optimizer info:
INFO - 10:04:47: Status: 0
INFO - 10:04:47: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:47: Solution:
INFO - 10:04:47: Objective: 0.494426362886704
INFO - 10:04:47: Design space:
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: | left_asymptote | 0 | 0.0004651011357300558 | 0.001118996202615428 | float |
INFO - 10:04:47: | capacity | 0.0001247844987118294 | 0.000124784530433186 | 0.01118996202615428 | float |
INFO - 10:04:47: | growth_rate | 1.293433685408852e-05 | 6.546527089097608e-05 | 0.0001164090316867967 | float |
INFO - 10:04:47: | x_lag | 0 | 33991.36101148056 | 33991.36101148056 | float |
INFO - 10:04:47: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:47: | asymptote_coeff | 0.5 | 2 | 2 | float |
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: Optimization problem:
INFO - 10:04:47: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:47: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:47: over the design space:
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: | left_asymptote | 0 | 0.0004816191005612311 | 0.001118996202615428 | float |
INFO - 10:04:47: | capacity | 0.0001247844987118294 | 0.0001752746735743394 | 0.01118996202615428 | float |
INFO - 10:04:47: | growth_rate | 1.293433685408852e-05 | 1.652431120606857e-05 | 0.0001164090316867967 | float |
INFO - 10:04:47: | x_lag | 0 | 18166.34104945116 | 33991.36101148056 | float |
INFO - 10:04:47: | logistic_nu | 0.1 | 3.106752410464576 | 10 | float |
INFO - 10:04:47: | asymptote_coeff | 0.5 | 1.180753314545727 | 2 | float |
INFO - 10:04:47: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:47: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:47: 1%| | 3/500 [00:00<00:01, 409.19 it/sec, feas=True, obj=1.34]
INFO - 10:04:47: 1%| | 4/500 [00:00<00:01, 398.12 it/sec, feas=True, obj=0.496]
INFO - 10:04:47: 1%| | 5/500 [00:00<00:01, 336.69 it/sec, feas=True, obj=0.495]
INFO - 10:04:47: 1%| | 6/500 [00:00<00:01, 339.33 it/sec, feas=True, obj=0.495]
INFO - 10:04:47: 1%|▏ | 7/500 [00:00<00:01, 340.57 it/sec, feas=True, obj=0.495]
INFO - 10:04:47: 2%|▏ | 8/500 [00:00<00:01, 341.66 it/sec, feas=True, obj=0.495]
INFO - 10:04:47: 2%|▏ | 9/500 [00:00<00:01, 340.73 it/sec, feas=True, obj=0.495]
INFO - 10:04:47: 2%|▏ | 10/500 [00:00<00:01, 341.01 it/sec, feas=True, obj=0.495]
INFO - 10:04:47: 2%|▏ | 11/500 [00:00<00:01, 341.36 it/sec, feas=True, obj=0.495]
INFO - 10:04:47: 2%|▏ | 12/500 [00:00<00:01, 341.61 it/sec, feas=True, obj=0.494]
INFO - 10:04:47: 3%|▎ | 13/500 [00:00<00:01, 341.73 it/sec, feas=True, obj=0.491]
INFO - 10:04:47: 3%|▎ | 14/500 [00:00<00:01, 341.61 it/sec, feas=True, obj=0.839]
INFO - 10:04:47: 3%|▎ | 15/500 [00:00<00:01, 342.28 it/sec, feas=True, obj=0.491]
INFO - 10:04:47: 3%|▎ | 16/500 [00:00<00:01, 343.67 it/sec, feas=True, obj=0.518]
INFO - 10:04:47: 3%|▎ | 17/500 [00:00<00:01, 342.93 it/sec, feas=True, obj=0.491]
INFO - 10:04:47: 4%|▎ | 18/500 [00:00<00:01, 342.98 it/sec, feas=True, obj=0.513]
INFO - 10:04:47: 4%|▍ | 19/500 [00:00<00:01, 343.96 it/sec, feas=True, obj=0.491]
INFO - 10:04:47: 4%|▍ | 20/500 [00:00<00:01, 345.18 it/sec, feas=True, obj=0.512]
INFO - 10:04:47: 4%|▍ | 21/500 [00:00<00:01, 346.42 it/sec, feas=True, obj=0.491]
INFO - 10:04:47: 4%|▍ | 22/500 [00:00<00:01, 346.89 it/sec, feas=True, obj=0.512]
INFO - 10:04:47: 5%|▍ | 23/500 [00:00<00:01, 347.45 it/sec, feas=True, obj=0.491]
INFO - 10:04:47: 5%|▍ | 24/500 [00:00<00:01, 348.37 it/sec, feas=True, obj=0.512]
INFO - 10:04:47: 5%|▌ | 25/500 [00:00<00:01, 338.32 it/sec, feas=True, obj=0.491]
INFO - 10:04:47: 5%|▌ | 26/500 [00:00<00:01, 339.38 it/sec, feas=True, obj=0.512]
INFO - 10:04:47: 5%|▌ | 27/500 [00:00<00:01, 340.20 it/sec, feas=True, obj=0.491]
INFO - 10:04:47: 6%|▌ | 28/500 [00:00<00:01, 340.47 it/sec, feas=True, obj=0.512]
INFO - 10:04:47: 6%|▌ | 29/500 [00:00<00:01, 341.04 it/sec, feas=True, obj=0.491]
INFO - 10:04:47: 6%|▌ | 30/500 [00:00<00:01, 342.05 it/sec, feas=True, obj=0.512]
INFO - 10:04:47: 6%|▌ | 31/500 [00:00<00:01, 342.65 it/sec, feas=True, obj=0.491]
INFO - 10:04:47: 6%|▋ | 32/500 [00:00<00:01, 342.99 it/sec, feas=True, obj=0.512]
INFO - 10:04:47: 7%|▋ | 33/500 [00:00<00:01, 340.62 it/sec, feas=True, obj=0.491]
INFO - 10:04:47: 7%|▋ | 34/500 [00:00<00:01, 340.94 it/sec, feas=True, obj=0.512]
INFO - 10:04:47: 7%|▋ | 35/500 [00:00<00:01, 341.39 it/sec, feas=True, obj=0.491]
INFO - 10:04:47: 7%|▋ | 36/500 [00:00<00:01, 341.75 it/sec, feas=True, obj=0.491]
INFO - 10:04:47: 7%|▋ | 37/500 [00:00<00:01, 342.32 it/sec, feas=True, obj=0.512]
INFO - 10:04:47: 8%|▊ | 38/500 [00:00<00:01, 342.92 it/sec, feas=True, obj=0.491]
INFO - 10:04:47: 8%|▊ | 39/500 [00:00<00:01, 343.67 it/sec, feas=True, obj=0.511]
INFO - 10:04:47: 8%|▊ | 40/500 [00:00<00:01, 344.11 it/sec, feas=True, obj=0.491]
INFO - 10:04:47: 8%|▊ | 41/500 [00:00<00:01, 344.35 it/sec, feas=True, obj=0.511]
INFO - 10:04:47: 8%|▊ | 42/500 [00:00<00:01, 344.42 it/sec, feas=True, obj=0.491]
INFO - 10:04:47: 9%|▊ | 43/500 [00:00<00:01, 344.67 it/sec, feas=True, obj=0.511]
INFO - 10:04:47: 9%|▉ | 44/500 [00:00<00:01, 345.11 it/sec, feas=True, obj=0.491]
INFO - 10:04:47: 9%|▉ | 45/500 [00:00<00:01, 345.24 it/sec, feas=True, obj=0.511]
INFO - 10:04:47: 9%|▉ | 46/500 [00:00<00:01, 345.56 it/sec, feas=True, obj=0.491]
INFO - 10:04:48: 9%|▉ | 47/500 [00:00<00:01, 345.85 it/sec, feas=True, obj=0.491]
INFO - 10:04:48: 10%|▉ | 48/500 [00:00<00:01, 345.53 it/sec, feas=True, obj=0.511]
INFO - 10:04:48: 10%|▉ | 49/500 [00:00<00:01, 345.95 it/sec, feas=True, obj=0.491]
INFO - 10:04:48: 10%|█ | 50/500 [00:00<00:01, 346.31 it/sec, feas=True, obj=0.509]
INFO - 10:04:48: 10%|█ | 51/500 [00:00<00:01, 346.62 it/sec, feas=True, obj=0.491]
INFO - 10:04:48: 10%|█ | 52/500 [00:00<00:01, 347.12 it/sec, feas=True, obj=0.491]
INFO - 10:04:48: 11%|█ | 53/500 [00:00<00:01, 347.48 it/sec, feas=True, obj=0.49]
INFO - 10:04:48: 11%|█ | 54/500 [00:00<00:01, 347.73 it/sec, feas=True, obj=0.49]
INFO - 10:04:48: 11%|█ | 55/500 [00:00<00:01, 348.17 it/sec, feas=True, obj=0.49]
INFO - 10:04:48: 11%|█ | 56/500 [00:00<00:01, 348.58 it/sec, feas=True, obj=0.49]
INFO - 10:04:48: 11%|█▏ | 57/500 [00:00<00:01, 348.83 it/sec, feas=True, obj=0.49]
INFO - 10:04:48: 12%|█▏ | 58/500 [00:00<00:01, 349.06 it/sec, feas=True, obj=0.489]
INFO - 10:04:48: 12%|█▏ | 59/500 [00:00<00:01, 349.32 it/sec, feas=True, obj=0.489]
INFO - 10:04:48: 12%|█▏ | 60/500 [00:00<00:01, 349.70 it/sec, feas=True, obj=0.504]
INFO - 10:04:48: 12%|█▏ | 61/500 [00:00<00:01, 346.77 it/sec, feas=True, obj=0.488]
INFO - 10:04:48: 12%|█▏ | 62/500 [00:00<00:01, 346.91 it/sec, feas=True, obj=0.48]
INFO - 10:04:48: 13%|█▎ | 63/500 [00:00<00:01, 347.01 it/sec, feas=True, obj=1]
INFO - 10:04:48: 13%|█▎ | 64/500 [00:00<00:01, 347.30 it/sec, feas=True, obj=0.48]
INFO - 10:04:48: 13%|█▎ | 65/500 [00:00<00:01, 347.65 it/sec, feas=True, obj=0.525]
INFO - 10:04:48: 13%|█▎ | 66/500 [00:00<00:01, 347.94 it/sec, feas=True, obj=0.478]
INFO - 10:04:48: 13%|█▎ | 67/500 [00:00<00:01, 348.24 it/sec, feas=True, obj=1]
INFO - 10:04:48: 14%|█▎ | 68/500 [00:00<00:01, 347.27 it/sec, feas=True, obj=0.475]
INFO - 10:04:48: 14%|█▍ | 69/500 [00:00<00:01, 347.61 it/sec, feas=True, obj=0.489]
INFO - 10:04:48: 14%|█▍ | 70/500 [00:00<00:01, 347.83 it/sec, feas=True, obj=0.449]
INFO - 10:04:48: 14%|█▍ | 71/500 [00:00<00:01, 348.10 it/sec, feas=True, obj=1]
INFO - 10:04:48: 14%|█▍ | 72/500 [00:00<00:01, 348.42 it/sec, feas=True, obj=1.26]
INFO - 10:04:48: 15%|█▍ | 73/500 [00:00<00:01, 348.37 it/sec, feas=True, obj=0.443]
INFO - 10:04:48: 15%|█▍ | 74/500 [00:00<00:01, 348.39 it/sec, feas=True, obj=0.534]
INFO - 10:04:48: 15%|█▌ | 75/500 [00:00<00:01, 348.37 it/sec, feas=True, obj=0.394]
INFO - 10:04:48: 15%|█▌ | 76/500 [00:00<00:01, 348.41 it/sec, feas=True, obj=1]
INFO - 10:04:48: 15%|█▌ | 77/500 [00:00<00:01, 348.46 it/sec, feas=True, obj=0.582]
INFO - 10:04:48: 16%|█▌ | 78/500 [00:00<00:01, 348.42 it/sec, feas=True, obj=0.388]
INFO - 10:04:48: 16%|█▌ | 79/500 [00:00<00:01, 348.50 it/sec, feas=True, obj=0.491]
INFO - 10:04:48: 16%|█▌ | 80/500 [00:00<00:01, 346.50 it/sec, feas=True, obj=0.346]
INFO - 10:04:48: 16%|█▌ | 81/500 [00:00<00:01, 346.77 it/sec, feas=True, obj=1]
INFO - 10:04:48: 16%|█▋ | 82/500 [00:00<00:01, 346.76 it/sec, feas=True, obj=0.344]
INFO - 10:04:48: 17%|█▋ | 83/500 [00:00<00:01, 346.96 it/sec, feas=True, obj=0.344]
INFO - 10:04:48: 17%|█▋ | 84/500 [00:00<00:01, 347.23 it/sec, feas=True, obj=0.741]
INFO - 10:04:48: 17%|█▋ | 85/500 [00:00<00:01, 347.53 it/sec, feas=True, obj=0.34]
INFO - 10:04:48: 17%|█▋ | 86/500 [00:00<00:01, 347.76 it/sec, feas=True, obj=0.317]
INFO - 10:04:48: 17%|█▋ | 87/500 [00:00<00:01, 347.96 it/sec, feas=True, obj=0.303]
INFO - 10:04:48: 18%|█▊ | 88/500 [00:00<00:01, 348.21 it/sec, feas=True, obj=0.276]
INFO - 10:04:48: 18%|█▊ | 89/500 [00:00<00:01, 348.41 it/sec, feas=True, obj=0.241]
INFO - 10:04:48: 18%|█▊ | 90/500 [00:00<00:01, 348.38 it/sec, feas=True, obj=0.241]
INFO - 10:04:48: 18%|█▊ | 91/500 [00:00<00:01, 348.58 it/sec, feas=True, obj=0.241]
INFO - 10:04:48: 18%|█▊ | 92/500 [00:00<00:01, 348.73 it/sec, feas=True, obj=0.241]
INFO - 10:04:48: 19%|█▊ | 93/500 [00:00<00:01, 348.98 it/sec, feas=True, obj=0.496]
INFO - 10:04:48: 19%|█▉ | 94/500 [00:00<00:01, 349.10 it/sec, feas=True, obj=0.236]
INFO - 10:04:48: 19%|█▉ | 95/500 [00:00<00:01, 349.31 it/sec, feas=True, obj=2.14]
INFO - 10:04:48: 19%|█▉ | 96/500 [00:00<00:01, 349.54 it/sec, feas=True, obj=0.236]
INFO - 10:04:48: 19%|█▉ | 97/500 [00:00<00:01, 349.68 it/sec, feas=True, obj=0.235]
INFO - 10:04:48: 20%|█▉ | 98/500 [00:00<00:01, 349.83 it/sec, feas=True, obj=1.93]
INFO - 10:04:48: 20%|█▉ | 99/500 [00:00<00:01, 350.03 it/sec, feas=True, obj=0.235]
INFO - 10:04:48: 20%|██ | 100/500 [00:00<00:01, 350.06 it/sec, feas=True, obj=0.235]
INFO - 10:04:48: 20%|██ | 101/500 [00:00<00:01, 349.95 it/sec, feas=True, obj=0.206]
INFO - 10:04:48: 20%|██ | 102/500 [00:00<00:01, 350.05 it/sec, feas=True, obj=0.201]
INFO - 10:04:48: 21%|██ | 103/500 [00:00<00:01, 350.18 it/sec, feas=True, obj=0.995]
INFO - 10:04:48: 21%|██ | 104/500 [00:00<00:01, 350.08 it/sec, feas=True, obj=0.199]
INFO - 10:04:48: 21%|██ | 105/500 [00:00<00:01, 350.20 it/sec, feas=True, obj=0.195]
INFO - 10:04:48: 21%|██ | 106/500 [00:00<00:01, 350.36 it/sec, feas=True, obj=0.194]
INFO - 10:04:48: 21%|██▏ | 107/500 [00:00<00:01, 350.49 it/sec, feas=True, obj=1.01]
INFO - 10:04:48: 22%|██▏ | 108/500 [00:00<00:01, 350.56 it/sec, feas=True, obj=0.193]
INFO - 10:04:48: 22%|██▏ | 109/500 [00:00<00:01, 350.64 it/sec, feas=True, obj=0.192]
INFO - 10:04:48: 22%|██▏ | 110/500 [00:00<00:01, 350.76 it/sec, feas=True, obj=0.192]
INFO - 10:04:48: 22%|██▏ | 111/500 [00:00<00:01, 350.85 it/sec, feas=True, obj=0.191]
INFO - 10:04:48: 22%|██▏ | 112/500 [00:00<00:01, 350.92 it/sec, feas=True, obj=0.19]
INFO - 10:04:48: 23%|██▎ | 113/500 [00:00<00:01, 348.89 it/sec, feas=True, obj=0.189]
INFO - 10:04:48: 23%|██▎ | 114/500 [00:00<00:01, 349.07 it/sec, feas=True, obj=0.191]
INFO - 10:04:48: 23%|██▎ | 115/500 [00:00<00:01, 349.16 it/sec, feas=True, obj=0.189]
INFO - 10:04:48: 23%|██▎ | 116/500 [00:00<00:01, 349.23 it/sec, feas=True, obj=0.188]
INFO - 10:04:48: 23%|██▎ | 117/500 [00:00<00:01, 349.21 it/sec, feas=True, obj=0.188]
INFO - 10:04:48: 24%|██▎ | 118/500 [00:00<00:01, 349.19 it/sec, feas=True, obj=0.188]
INFO - 10:04:48: 24%|██▍ | 119/500 [00:00<00:01, 349.27 it/sec, feas=True, obj=0.188]
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INFO - 10:04:48: 58%|█████▊ | 290/500 [00:00<00:00, 351.87 it/sec, feas=True, obj=0.106]
INFO - 10:04:48: 58%|█████▊ | 291/500 [00:00<00:00, 351.91 it/sec, feas=True, obj=0.106]
INFO - 10:04:48: 58%|█████▊ | 292/500 [00:00<00:00, 351.96 it/sec, feas=True, obj=0.106]
INFO - 10:04:48: 59%|█████▊ | 293/500 [00:00<00:00, 351.93 it/sec, feas=True, obj=0.106]
INFO - 10:04:48: 59%|█████▉ | 294/500 [00:00<00:00, 351.90 it/sec, feas=True, obj=0.106]
INFO - 10:04:48: 59%|█████▉ | 295/500 [00:00<00:00, 351.86 it/sec, feas=True, obj=0.106]
INFO - 10:04:48: 59%|█████▉ | 296/500 [00:00<00:00, 351.82 it/sec, feas=True, obj=0.106]
INFO - 10:04:48: 59%|█████▉ | 297/500 [00:00<00:00, 351.78 it/sec, feas=True, obj=0.106]
INFO - 10:04:48: 60%|█████▉ | 298/500 [00:00<00:00, 351.79 it/sec, feas=True, obj=0.106]
INFO - 10:04:48: 60%|█████▉ | 299/500 [00:00<00:00, 351.82 it/sec, feas=True, obj=0.106]
INFO - 10:04:48: 60%|██████ | 300/500 [00:00<00:00, 351.79 it/sec, feas=True, obj=0.106]
INFO - 10:04:48: 60%|██████ | 301/500 [00:00<00:00, 350.88 it/sec, feas=True, obj=0.106]
INFO - 10:04:48: 60%|██████ | 302/500 [00:00<00:00, 350.91 it/sec, feas=True, obj=0.106]
INFO - 10:04:48: 61%|██████ | 303/500 [00:00<00:00, 350.92 it/sec, feas=True, obj=0.106]
INFO - 10:04:48: 61%|██████ | 304/500 [00:00<00:00, 350.95 it/sec, feas=True, obj=0.106]
INFO - 10:04:48: 61%|██████ | 305/500 [00:00<00:00, 350.95 it/sec, feas=True, obj=0.109]
INFO - 10:04:48: 61%|██████ | 306/500 [00:00<00:00, 350.99 it/sec, feas=True, obj=0.106]
INFO - 10:04:48: 61%|██████▏ | 307/500 [00:00<00:00, 351.03 it/sec, feas=True, obj=0.106]
INFO - 10:04:48: 62%|██████▏ | 308/500 [00:00<00:00, 351.02 it/sec, feas=True, obj=0.106]
INFO - 10:04:48: Optimization result:
INFO - 10:04:48: Optimizer info:
INFO - 10:04:48: Status: None
INFO - 10:04:48: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:48: Solution:
INFO - 10:04:48: Objective: 0.10579601675391666
INFO - 10:04:48: Design space:
INFO - 10:04:48: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:48: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:48: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:48: | left_asymptote | 0 | 0 | 0.001118996202615428 | float |
INFO - 10:04:48: | capacity | 0.0001247844987118294 | 0.01118996202615428 | 0.01118996202615428 | float |
INFO - 10:04:48: | growth_rate | 1.293433685408852e-05 | 0.0001048853319244214 | 0.0001164090316867967 | float |
INFO - 10:04:48: | x_lag | 0 | 0 | 33991.36101148056 | float |
INFO - 10:04:48: | logistic_nu | 0.1 | 0.187204760417113 | 10 | float |
INFO - 10:04:48: | asymptote_coeff | 0.5 | 1.276027308476086 | 2 | float |
INFO - 10:04:48: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:48: Optimization problem:
INFO - 10:04:48: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:48: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:48: over the design space:
INFO - 10:04:48: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:48: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:48: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:48: | left_asymptote | 0 | 0.0009635796928437672 | 0.001118996202615428 | float |
INFO - 10:04:48: | capacity | 0.0001247844987118294 | 0.002253260115963129 | 0.01118996202615428 | float |
INFO - 10:04:48: | growth_rate | 1.293433685408852e-05 | 9.452198182686506e-05 | 0.0001164090316867967 | float |
INFO - 10:04:48: | x_lag | 0 | 4281.987708479243 | 33991.36101148056 | float |
INFO - 10:04:48: | logistic_nu | 0.1 | 5.069367768333068 | 10 | float |
INFO - 10:04:48: | asymptote_coeff | 0.5 | 1.629142252466248 | 2 | float |
INFO - 10:04:48: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:48: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:48: 1%| | 3/500 [00:00<00:01, 412.37 it/sec, feas=True, obj=0.52]
INFO - 10:04:48: 1%| | 4/500 [00:00<00:01, 400.82 it/sec, feas=True, obj=0.495]
INFO - 10:04:48: 1%| | 5/500 [00:00<00:01, 364.48 it/sec, feas=True, obj=0.494]
INFO - 10:04:48: 1%| | 6/500 [00:00<00:01, 330.95 it/sec, feas=True, obj=0.494]
INFO - 10:04:48: 1%|▏ | 7/500 [00:00<00:01, 334.50 it/sec, feas=True, obj=0.494]
INFO - 10:04:48: 2%|▏ | 8/500 [00:00<00:01, 337.33 it/sec, feas=True, obj=0.494]
INFO - 10:04:48: Optimization result:
INFO - 10:04:48: Optimizer info:
INFO - 10:04:48: Status: None
INFO - 10:04:48: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:48: Solution:
INFO - 10:04:48: Objective: 0.49442640551813616
INFO - 10:04:48: Design space:
INFO - 10:04:48: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:48: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:48: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:48: | left_asymptote | 0 | 0.0004651013080325306 | 0.001118996202615428 | float |
INFO - 10:04:48: | capacity | 0.0001247844987118294 | 0.0001249857950810195 | 0.01118996202615428 | float |
INFO - 10:04:48: | growth_rate | 1.293433685408852e-05 | 9.429101842702562e-05 | 0.0001164090316867967 | float |
INFO - 10:04:48: | x_lag | 0 | 21196.32355807438 | 33991.36101148056 | float |
INFO - 10:04:48: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:48: | asymptote_coeff | 0.5 | 2 | 2 | float |
INFO - 10:04:48: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:48: Optimization problem:
INFO - 10:04:48: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:48: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:48: over the design space:
INFO - 10:04:48: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:48: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:48: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:48: | left_asymptote | 0 | 0.0002636855604219064 | 0.001118996202615428 | float |
INFO - 10:04:48: | capacity | 0.0001247844987118294 | 0.00481552659869857 | 0.01118996202615428 | float |
INFO - 10:04:48: | growth_rate | 1.293433685408852e-05 | 3.437964338092707e-05 | 0.0001164090316867967 | float |
INFO - 10:04:48: | x_lag | 0 | 28960.8647399655 | 33991.36101148056 | float |
INFO - 10:04:48: | logistic_nu | 0.1 | 6.782642224775768 | 10 | float |
INFO - 10:04:48: | asymptote_coeff | 0.5 | 1.8388970651087 | 2 | float |
INFO - 10:04:48: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:48: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:48: 1%| | 3/500 [00:00<00:01, 414.62 it/sec, feas=True, obj=0.863]
INFO - 10:04:48: 1%| | 4/500 [00:00<00:01, 402.99 it/sec, feas=True, obj=0.503]
INFO - 10:04:48: 1%| | 5/500 [00:00<00:01, 396.95 it/sec, feas=True, obj=0.898]
INFO - 10:04:48: 1%| | 6/500 [00:00<00:01, 392.10 it/sec, feas=True, obj=0.491]
INFO - 10:04:48: 1%|▏ | 7/500 [00:00<00:01, 388.43 it/sec, feas=True, obj=0.485]
INFO - 10:04:48: 2%|▏ | 8/500 [00:00<00:01, 351.40 it/sec, feas=True, obj=1]
INFO - 10:04:48: 2%|▏ | 9/500 [00:00<00:01, 353.63 it/sec, feas=True, obj=0.478]
INFO - 10:04:48: 2%|▏ | 10/500 [00:00<00:01, 355.00 it/sec, feas=True, obj=0.55]
INFO - 10:04:48: 2%|▏ | 11/500 [00:00<00:01, 356.41 it/sec, feas=True, obj=0.456]
INFO - 10:04:48: 2%|▏ | 12/500 [00:00<00:01, 357.77 it/sec, feas=True, obj=0.454]
INFO - 10:04:48: 3%|▎ | 13/500 [00:00<00:01, 358.55 it/sec, feas=True, obj=0.452]
INFO - 10:04:48: 3%|▎ | 14/500 [00:00<00:01, 359.49 it/sec, feas=True, obj=0.637]
INFO - 10:04:48: 3%|▎ | 15/500 [00:00<00:01, 360.40 it/sec, feas=True, obj=0.447]
INFO - 10:04:48: 3%|▎ | 16/500 [00:00<00:01, 360.92 it/sec, feas=True, obj=0.367]
INFO - 10:04:48: 3%|▎ | 17/500 [00:00<00:01, 361.12 it/sec, feas=True, obj=0.335]
INFO - 10:04:48: 4%|▎ | 18/500 [00:00<00:01, 361.67 it/sec, feas=True, obj=0.359]
INFO - 10:04:48: 4%|▍ | 19/500 [00:00<00:01, 362.14 it/sec, feas=True, obj=0.334]
INFO - 10:04:48: 4%|▍ | 20/500 [00:00<00:01, 362.59 it/sec, feas=True, obj=0.329]
INFO - 10:04:48: 4%|▍ | 21/500 [00:00<00:01, 362.90 it/sec, feas=True, obj=0.309]
INFO - 10:04:48: 4%|▍ | 22/500 [00:00<00:01, 363.49 it/sec, feas=True, obj=0.302]
INFO - 10:04:48: 5%|▍ | 23/500 [00:00<00:01, 363.40 it/sec, feas=True, obj=0.287]
INFO - 10:04:48: 5%|▍ | 24/500 [00:00<00:01, 363.59 it/sec, feas=True, obj=0.284]
INFO - 10:04:48: 5%|▌ | 25/500 [00:00<00:01, 358.15 it/sec, feas=True, obj=0.271]
INFO - 10:04:48: 5%|▌ | 26/500 [00:00<00:01, 357.23 it/sec, feas=True, obj=0.354]
INFO - 10:04:48: 5%|▌ | 27/500 [00:00<00:01, 357.06 it/sec, feas=True, obj=0.237]
INFO - 10:04:48: 6%|▌ | 28/500 [00:00<00:01, 356.85 it/sec, feas=True, obj=0.498]
INFO - 10:04:48: 6%|▌ | 29/500 [00:00<00:01, 357.06 it/sec, feas=True, obj=0.233]
INFO - 10:04:48: 6%|▌ | 30/500 [00:00<00:01, 357.37 it/sec, feas=True, obj=0.409]
INFO - 10:04:48: 6%|▌ | 31/500 [00:00<00:01, 357.85 it/sec, feas=True, obj=0.218]
INFO - 10:04:48: 6%|▋ | 32/500 [00:00<00:01, 358.16 it/sec, feas=True, obj=0.193]
INFO - 10:04:48: 7%|▋ | 33/500 [00:00<00:01, 358.43 it/sec, feas=True, obj=0.749]
INFO - 10:04:48: 7%|▋ | 34/500 [00:00<00:01, 358.31 it/sec, feas=True, obj=0.168]
INFO - 10:04:48: 7%|▋ | 35/500 [00:00<00:01, 358.66 it/sec, feas=True, obj=0.144]
INFO - 10:04:48: 7%|▋ | 36/500 [00:00<00:01, 358.84 it/sec, feas=True, obj=0.136]
INFO - 10:04:48: 7%|▋ | 37/500 [00:00<00:01, 358.99 it/sec, feas=True, obj=0.997]
INFO - 10:04:48: 8%|▊ | 38/500 [00:00<00:01, 359.28 it/sec, feas=True, obj=0.136]
INFO - 10:04:48: 8%|▊ | 39/500 [00:00<00:01, 359.19 it/sec, feas=True, obj=0.298]
INFO - 10:04:48: 8%|▊ | 40/500 [00:00<00:01, 358.61 it/sec, feas=True, obj=0.133]
INFO - 10:04:48: 8%|▊ | 41/500 [00:00<00:01, 358.69 it/sec, feas=True, obj=0.128]
INFO - 10:04:48: 8%|▊ | 42/500 [00:00<00:01, 358.87 it/sec, feas=True, obj=0.128]
INFO - 10:04:48: 9%|▊ | 43/500 [00:00<00:01, 359.11 it/sec, feas=True, obj=0.155]
INFO - 10:04:48: 9%|▉ | 44/500 [00:00<00:01, 358.73 it/sec, feas=True, obj=0.127]
INFO - 10:04:48: 9%|▉ | 45/500 [00:00<00:01, 358.96 it/sec, feas=True, obj=0.492]
INFO - 10:04:48: 9%|▉ | 46/500 [00:00<00:01, 358.99 it/sec, feas=True, obj=0.127]
INFO - 10:04:48: 9%|▉ | 47/500 [00:00<00:01, 359.05 it/sec, feas=True, obj=0.127]
INFO - 10:04:48: 10%|▉ | 48/500 [00:00<00:01, 359.21 it/sec, feas=True, obj=0.127]
INFO - 10:04:48: 10%|▉ | 49/500 [00:00<00:01, 359.31 it/sec, feas=True, obj=0.127]
INFO - 10:04:48: 10%|█ | 50/500 [00:00<00:01, 359.34 it/sec, feas=True, obj=0.127]
INFO - 10:04:48: 10%|█ | 51/500 [00:00<00:01, 359.49 it/sec, feas=True, obj=0.126]
INFO - 10:04:48: 10%|█ | 52/500 [00:00<00:01, 359.67 it/sec, feas=True, obj=0.125]
INFO - 10:04:48: 11%|█ | 53/500 [00:00<00:01, 359.77 it/sec, feas=True, obj=0.123]
INFO - 10:04:48: 11%|█ | 54/500 [00:00<00:01, 359.82 it/sec, feas=True, obj=0.118]
INFO - 10:04:48: 11%|█ | 55/500 [00:00<00:01, 360.03 it/sec, feas=True, obj=0.47]
INFO - 10:04:48: 11%|█ | 56/500 [00:00<00:01, 360.22 it/sec, feas=True, obj=0.117]
INFO - 10:04:48: 11%|█▏ | 57/500 [00:00<00:01, 360.38 it/sec, feas=True, obj=0.121]
INFO - 10:04:48: 12%|█▏ | 58/500 [00:00<00:01, 360.50 it/sec, feas=True, obj=0.115]
INFO - 10:04:48: 12%|█▏ | 59/500 [00:00<00:01, 360.64 it/sec, feas=True, obj=0.115]
INFO - 10:04:48: 12%|█▏ | 60/500 [00:00<00:01, 360.67 it/sec, feas=True, obj=0.113]
INFO - 10:04:48: 12%|█▏ | 61/500 [00:00<00:01, 360.65 it/sec, feas=True, obj=0.11]
INFO - 10:04:48: 12%|█▏ | 62/500 [00:00<00:01, 360.74 it/sec, feas=True, obj=0.11]
INFO - 10:04:48: 13%|█▎ | 63/500 [00:00<00:01, 360.83 it/sec, feas=True, obj=0.11]
INFO - 10:04:48: 13%|█▎ | 64/500 [00:00<00:01, 360.90 it/sec, feas=True, obj=0.11]
INFO - 10:04:48: 13%|█▎ | 65/500 [00:00<00:01, 360.91 it/sec, feas=True, obj=0.11]
INFO - 10:04:48: 13%|█▎ | 66/500 [00:00<00:01, 357.14 it/sec, feas=True, obj=0.109]
INFO - 10:04:48: 13%|█▎ | 67/500 [00:00<00:01, 357.16 it/sec, feas=True, obj=0.109]
INFO - 10:04:48: 14%|█▎ | 68/500 [00:00<00:01, 356.93 it/sec, feas=True, obj=0.111]
INFO - 10:04:48: 14%|█▍ | 69/500 [00:00<00:01, 356.87 it/sec, feas=True, obj=0.109]
INFO - 10:04:48: 14%|█▍ | 70/500 [00:00<00:01, 356.62 it/sec, feas=True, obj=0.109]
INFO - 10:04:48: 14%|█▍ | 71/500 [00:00<00:01, 356.09 it/sec, feas=True, obj=0.109]
INFO - 10:04:48: 14%|█▍ | 72/500 [00:00<00:01, 356.04 it/sec, feas=True, obj=0.109]
INFO - 10:04:48: 15%|█▍ | 73/500 [00:00<00:01, 355.97 it/sec, feas=True, obj=0.108]
INFO - 10:04:48: 15%|█▍ | 74/500 [00:00<00:01, 355.77 it/sec, feas=True, obj=0.109]
INFO - 10:04:48: 15%|█▌ | 75/500 [00:00<00:01, 355.76 it/sec, feas=True, obj=0.108]
INFO - 10:04:48: 15%|█▌ | 76/500 [00:00<00:01, 355.76 it/sec, feas=True, obj=0.108]
INFO - 10:04:48: 15%|█▌ | 77/500 [00:00<00:01, 355.71 it/sec, feas=True, obj=0.108]
INFO - 10:04:48: 16%|█▌ | 78/500 [00:00<00:01, 355.66 it/sec, feas=True, obj=0.108]
INFO - 10:04:48: 16%|█▌ | 79/500 [00:00<00:01, 355.46 it/sec, feas=True, obj=0.108]
INFO - 10:04:49: 16%|█▌ | 80/500 [00:00<00:01, 355.38 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 16%|█▌ | 81/500 [00:00<00:01, 355.20 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 16%|█▋ | 82/500 [00:00<00:01, 355.01 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 17%|█▋ | 83/500 [00:00<00:01, 354.96 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 17%|█▋ | 84/500 [00:00<00:01, 354.65 it/sec, feas=True, obj=0.108]
INFO - 10:04:49: 17%|█▋ | 85/500 [00:00<00:01, 354.37 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 17%|█▋ | 86/500 [00:00<00:01, 354.48 it/sec, feas=True, obj=0.129]
INFO - 10:04:49: 17%|█▋ | 87/500 [00:00<00:01, 354.46 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 18%|█▊ | 88/500 [00:00<00:01, 354.29 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 18%|█▊ | 89/500 [00:00<00:01, 354.15 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 18%|█▊ | 90/500 [00:00<00:01, 353.78 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 18%|█▊ | 91/500 [00:00<00:01, 353.66 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 18%|█▊ | 92/500 [00:00<00:01, 353.54 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 19%|█▊ | 93/500 [00:00<00:01, 353.46 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 19%|█▉ | 94/500 [00:00<00:01, 353.58 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 19%|█▉ | 95/500 [00:00<00:01, 353.70 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 19%|█▉ | 96/500 [00:00<00:01, 353.71 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 19%|█▉ | 97/500 [00:00<00:01, 353.79 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 20%|█▉ | 98/500 [00:00<00:01, 353.73 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 20%|█▉ | 99/500 [00:00<00:01, 353.91 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 20%|██ | 100/500 [00:00<00:01, 354.03 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 20%|██ | 101/500 [00:00<00:01, 354.11 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 20%|██ | 102/500 [00:00<00:01, 354.23 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 21%|██ | 103/500 [00:00<00:01, 354.44 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 21%|██ | 104/500 [00:00<00:01, 354.51 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 21%|██ | 105/500 [00:00<00:01, 354.59 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 21%|██ | 106/500 [00:00<00:01, 354.70 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 21%|██▏ | 107/500 [00:00<00:01, 354.84 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 22%|██▏ | 108/500 [00:00<00:01, 354.90 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 22%|██▏ | 109/500 [00:00<00:01, 354.86 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 22%|██▏ | 110/500 [00:00<00:01, 352.78 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 22%|██▏ | 111/500 [00:00<00:01, 352.61 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 22%|██▏ | 112/500 [00:00<00:01, 352.52 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 23%|██▎ | 113/500 [00:00<00:01, 352.41 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 23%|██▎ | 114/500 [00:00<00:01, 352.26 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 23%|██▎ | 115/500 [00:00<00:01, 352.25 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 23%|██▎ | 116/500 [00:00<00:01, 352.12 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 23%|██▎ | 117/500 [00:00<00:01, 352.01 it/sec, feas=True, obj=0.514]
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INFO - 10:04:49: 56%|█████▋ | 282/500 [00:00<00:00, 348.23 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: Optimization result:
INFO - 10:04:49: Optimizer info:
INFO - 10:04:49: Status: 0
INFO - 10:04:49: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:49: Solution:
INFO - 10:04:49: Objective: 0.10579601675063506
INFO - 10:04:49: Design space:
INFO - 10:04:49: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:49: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:49: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:49: | left_asymptote | 0 | 0 | 0.001118996202615428 | float |
INFO - 10:04:49: | capacity | 0.0001247844987118294 | 0.01118996202615428 | 0.01118996202615428 | float |
INFO - 10:04:49: | growth_rate | 1.293433685408852e-05 | 0.0001048864802764716 | 0.0001164090316867967 | float |
INFO - 10:04:49: | x_lag | 0 | 0 | 33991.36101148056 | float |
INFO - 10:04:49: | logistic_nu | 0.1 | 0.1872049690873935 | 10 | float |
INFO - 10:04:49: | asymptote_coeff | 0.5 | 1.276032084960369 | 2 | float |
INFO - 10:04:49: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:49: Optimization problem:
INFO - 10:04:49: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:49: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:49: over the design space:
INFO - 10:04:49: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:49: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:49: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:49: | left_asymptote | 0 | 0.0003743704042971135 | 0.001118996202615428 | float |
INFO - 10:04:49: | capacity | 0.0001247844987118294 | 0.008860790892918741 | 0.01118996202615428 | float |
INFO - 10:04:49: | growth_rate | 1.293433685408852e-05 | 0.0001009937449960108 | 0.0001164090316867967 | float |
INFO - 10:04:49: | x_lag | 0 | 26510.92062820666 | 33991.36101148056 | float |
INFO - 10:04:49: | logistic_nu | 0.1 | 4.49432983273323 | 10 | float |
INFO - 10:04:49: | asymptote_coeff | 0.5 | 0.5198390824214476 | 2 | float |
INFO - 10:04:49: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:49: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:49: 1%| | 3/500 [00:00<00:01, 391.32 it/sec, feas=True, obj=0.812]
INFO - 10:04:49: 1%| | 4/500 [00:00<00:01, 385.49 it/sec, feas=True, obj=0.557]
INFO - 10:04:49: 1%| | 5/500 [00:00<00:01, 326.68 it/sec, feas=True, obj=0.512]
INFO - 10:04:49: 1%| | 6/500 [00:00<00:01, 326.74 it/sec, feas=True, obj=0.494]
INFO - 10:04:49: 1%|▏ | 7/500 [00:00<00:01, 329.66 it/sec, feas=True, obj=0.494]
INFO - 10:04:49: 2%|▏ | 8/500 [00:00<00:01, 334.11 it/sec, feas=True, obj=0.494]
INFO - 10:04:49: 2%|▏ | 9/500 [00:00<00:01, 330.12 it/sec, feas=True, obj=0.494]
INFO - 10:04:49: 2%|▏ | 10/500 [00:00<00:01, 333.71 it/sec, feas=True, obj=0.493]
INFO - 10:04:49: 2%|▏ | 11/500 [00:00<00:01, 334.98 it/sec, feas=True, obj=0.484]
INFO - 10:04:49: 2%|▏ | 12/500 [00:00<00:01, 335.98 it/sec, feas=True, obj=0.492]
INFO - 10:04:49: 3%|▎ | 13/500 [00:00<00:01, 337.08 it/sec, feas=True, obj=0.477]
INFO - 10:04:49: 3%|▎ | 14/500 [00:00<00:01, 339.24 it/sec, feas=True, obj=0.483]
INFO - 10:04:49: 3%|▎ | 15/500 [00:00<00:01, 341.27 it/sec, feas=True, obj=0.475]
INFO - 10:04:49: 3%|▎ | 16/500 [00:00<00:01, 341.39 it/sec, feas=True, obj=0.479]
INFO - 10:04:49: 3%|▎ | 17/500 [00:00<00:01, 342.42 it/sec, feas=True, obj=0.471]
INFO - 10:04:49: 4%|▎ | 18/500 [00:00<00:01, 343.81 it/sec, feas=True, obj=0.466]
INFO - 10:04:49: 4%|▍ | 19/500 [00:00<00:01, 343.84 it/sec, feas=True, obj=0.453]
INFO - 10:04:49: 4%|▍ | 20/500 [00:00<00:01, 345.11 it/sec, feas=True, obj=0.447]
INFO - 10:04:49: 4%|▍ | 21/500 [00:00<00:01, 345.88 it/sec, feas=True, obj=0.73]
INFO - 10:04:49: 4%|▍ | 22/500 [00:00<00:01, 346.77 it/sec, feas=True, obj=0.439]
INFO - 10:04:49: 5%|▍ | 23/500 [00:00<00:01, 347.96 it/sec, feas=True, obj=0.434]
INFO - 10:04:49: 5%|▍ | 24/500 [00:00<00:01, 348.66 it/sec, feas=True, obj=0.406]
INFO - 10:04:49: 5%|▌ | 25/500 [00:00<00:01, 349.27 it/sec, feas=True, obj=3.72]
INFO - 10:04:49: 5%|▌ | 26/500 [00:00<00:01, 349.98 it/sec, feas=True, obj=0.39]
INFO - 10:04:49: 5%|▌ | 27/500 [00:00<00:01, 350.77 it/sec, feas=True, obj=0.3]
INFO - 10:04:49: 6%|▌ | 28/500 [00:00<00:01, 350.82 it/sec, feas=True, obj=2.64]
INFO - 10:04:49: 6%|▌ | 29/500 [00:00<00:01, 351.25 it/sec, feas=True, obj=0.297]
INFO - 10:04:49: 6%|▌ | 30/500 [00:00<00:01, 351.44 it/sec, feas=True, obj=0.359]
INFO - 10:04:49: 6%|▌ | 31/500 [00:00<00:01, 350.50 it/sec, feas=True, obj=0.25]
INFO - 10:04:49: 6%|▋ | 32/500 [00:00<00:01, 350.82 it/sec, feas=True, obj=0.997]
INFO - 10:04:49: 7%|▋ | 33/500 [00:00<00:01, 350.47 it/sec, feas=True, obj=0.242]
INFO - 10:04:49: 7%|▋ | 34/500 [00:00<00:01, 350.85 it/sec, feas=True, obj=1]
INFO - 10:04:49: 7%|▋ | 35/500 [00:00<00:01, 351.29 it/sec, feas=True, obj=0.233]
INFO - 10:04:49: 7%|▋ | 36/500 [00:00<00:01, 351.26 it/sec, feas=True, obj=0.433]
INFO - 10:04:49: 7%|▋ | 37/500 [00:00<00:01, 351.67 it/sec, feas=True, obj=0.201]
INFO - 10:04:49: 8%|▊ | 38/500 [00:00<00:01, 351.89 it/sec, feas=True, obj=0.19]
INFO - 10:04:49: 8%|▊ | 39/500 [00:00<00:01, 352.31 it/sec, feas=True, obj=0.986]
INFO - 10:04:49: 8%|▊ | 40/500 [00:00<00:01, 352.66 it/sec, feas=True, obj=0.173]
INFO - 10:04:49: 8%|▊ | 41/500 [00:00<00:01, 346.63 it/sec, feas=True, obj=102]
INFO - 10:04:49: 8%|▊ | 42/500 [00:00<00:01, 347.12 it/sec, feas=True, obj=0.728]
INFO - 10:04:49: 9%|▊ | 43/500 [00:00<00:01, 345.93 it/sec, feas=True, obj=0.169]
INFO - 10:04:49: 9%|▉ | 44/500 [00:00<00:01, 346.04 it/sec, feas=True, obj=98.6]
INFO - 10:04:49: 9%|▉ | 45/500 [00:00<00:01, 345.96 it/sec, feas=True, obj=0.778]
INFO - 10:04:49: 9%|▉ | 46/500 [00:00<00:01, 345.83 it/sec, feas=True, obj=0.169]
INFO - 10:04:49: 9%|▉ | 47/500 [00:00<00:01, 345.74 it/sec, feas=True, obj=0.996]
INFO - 10:04:49: 10%|▉ | 48/500 [00:00<00:01, 345.67 it/sec, feas=True, obj=0.16]
INFO - 10:04:49: 10%|▉ | 49/500 [00:00<00:01, 345.65 it/sec, feas=True, obj=0.325]
INFO - 10:04:49: 10%|█ | 50/500 [00:00<00:01, 345.49 it/sec, feas=True, obj=0.134]
INFO - 10:04:49: 10%|█ | 51/500 [00:00<00:01, 345.37 it/sec, feas=True, obj=54.3]
INFO - 10:04:49: 10%|█ | 52/500 [00:00<00:01, 345.65 it/sec, feas=True, obj=0.681]
INFO - 10:04:49: 11%|█ | 53/500 [00:00<00:01, 345.25 it/sec, feas=True, obj=0.132]
INFO - 10:04:49: 11%|█ | 54/500 [00:00<00:01, 345.36 it/sec, feas=True, obj=0.978]
INFO - 10:04:49: 11%|█ | 55/500 [00:00<00:01, 345.52 it/sec, feas=True, obj=0.126]
INFO - 10:04:49: 11%|█ | 56/500 [00:00<00:01, 345.92 it/sec, feas=True, obj=0.29]
INFO - 10:04:49: 11%|█▏ | 57/500 [00:00<00:01, 345.83 it/sec, feas=True, obj=0.114]
INFO - 10:04:49: 12%|█▏ | 58/500 [00:00<00:01, 345.80 it/sec, feas=True, obj=0.132]
INFO - 10:04:49: 12%|█▏ | 59/500 [00:00<00:01, 345.71 it/sec, feas=True, obj=0.111]
INFO - 10:04:49: 12%|█▏ | 60/500 [00:00<00:01, 345.79 it/sec, feas=True, obj=1.2]
INFO - 10:04:49: 12%|█▏ | 61/500 [00:00<00:01, 345.85 it/sec, feas=True, obj=0.117]
INFO - 10:04:49: 12%|█▏ | 62/500 [00:00<00:01, 345.82 it/sec, feas=True, obj=0.111]
INFO - 10:04:49: 13%|█▎ | 63/500 [00:00<00:01, 345.86 it/sec, feas=True, obj=0.11]
INFO - 10:04:49: 13%|█▎ | 64/500 [00:00<00:01, 346.09 it/sec, feas=True, obj=0.11]
INFO - 10:04:49: 13%|█▎ | 65/500 [00:00<00:01, 346.28 it/sec, feas=True, obj=0.11]
INFO - 10:04:49: 13%|█▎ | 66/500 [00:00<00:01, 346.50 it/sec, feas=True, obj=0.11]
INFO - 10:04:49: 13%|█▎ | 67/500 [00:00<00:01, 346.53 it/sec, feas=True, obj=0.11]
INFO - 10:04:49: 14%|█▎ | 68/500 [00:00<00:01, 346.54 it/sec, feas=True, obj=0.11]
INFO - 10:04:49: 14%|█▍ | 69/500 [00:00<00:01, 342.70 it/sec, feas=True, obj=0.11]
INFO - 10:04:49: 14%|█▍ | 70/500 [00:00<00:01, 342.70 it/sec, feas=True, obj=0.11]
INFO - 10:04:49: 14%|█▍ | 71/500 [00:00<00:01, 342.65 it/sec, feas=True, obj=0.11]
INFO - 10:04:49: 14%|█▍ | 72/500 [00:00<00:01, 342.64 it/sec, feas=True, obj=0.11]
INFO - 10:04:49: 15%|█▍ | 73/500 [00:00<00:01, 342.58 it/sec, feas=True, obj=0.11]
INFO - 10:04:49: 15%|█▍ | 74/500 [00:00<00:01, 342.73 it/sec, feas=True, obj=0.11]
INFO - 10:04:49: 15%|█▌ | 75/500 [00:00<00:01, 342.78 it/sec, feas=True, obj=0.109]
INFO - 10:04:49: 15%|█▌ | 76/500 [00:00<00:01, 342.89 it/sec, feas=True, obj=0.109]
INFO - 10:04:49: 15%|█▌ | 77/500 [00:00<00:01, 343.12 it/sec, feas=True, obj=0.507]
INFO - 10:04:49: 16%|█▌ | 78/500 [00:00<00:01, 342.88 it/sec, feas=True, obj=0.109]
INFO - 10:04:49: 16%|█▌ | 79/500 [00:00<00:01, 343.11 it/sec, feas=True, obj=0.109]
INFO - 10:04:49: 16%|█▌ | 80/500 [00:00<00:01, 343.38 it/sec, feas=True, obj=0.109]
INFO - 10:04:49: 16%|█▌ | 81/500 [00:00<00:01, 343.45 it/sec, feas=True, obj=0.109]
INFO - 10:04:49: 16%|█▋ | 82/500 [00:00<00:01, 343.51 it/sec, feas=True, obj=0.109]
INFO - 10:04:49: 17%|█▋ | 83/500 [00:00<00:01, 343.50 it/sec, feas=True, obj=0.109]
INFO - 10:04:49: 17%|█▋ | 84/500 [00:00<00:01, 343.67 it/sec, feas=True, obj=0.108]
INFO - 10:04:49: 17%|█▋ | 85/500 [00:00<00:01, 343.93 it/sec, feas=True, obj=0.108]
INFO - 10:04:49: 17%|█▋ | 86/500 [00:00<00:01, 343.96 it/sec, feas=True, obj=0.108]
INFO - 10:04:49: 17%|█▋ | 87/500 [00:00<00:01, 344.07 it/sec, feas=True, obj=0.116]
INFO - 10:04:49: 18%|█▊ | 88/500 [00:00<00:01, 343.93 it/sec, feas=True, obj=0.108]
INFO - 10:04:49: 18%|█▊ | 89/500 [00:00<00:01, 343.92 it/sec, feas=True, obj=0.108]
INFO - 10:04:49: 18%|█▊ | 90/500 [00:00<00:01, 343.94 it/sec, feas=True, obj=0.108]
INFO - 10:04:49: 18%|█▊ | 91/500 [00:00<00:01, 343.91 it/sec, feas=True, obj=0.108]
INFO - 10:04:49: 18%|█▊ | 92/500 [00:00<00:01, 343.89 it/sec, feas=True, obj=0.108]
INFO - 10:04:49: 19%|█▊ | 93/500 [00:00<00:01, 343.96 it/sec, feas=True, obj=0.108]
INFO - 10:04:49: 19%|█▉ | 94/500 [00:00<00:01, 344.20 it/sec, feas=True, obj=0.108]
INFO - 10:04:49: 19%|█▉ | 95/500 [00:00<00:01, 344.25 it/sec, feas=True, obj=0.108]
INFO - 10:04:49: 19%|█▉ | 96/500 [00:00<00:01, 344.25 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 19%|█▉ | 97/500 [00:00<00:01, 344.19 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 20%|█▉ | 98/500 [00:00<00:01, 344.16 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 20%|█▉ | 99/500 [00:00<00:01, 344.18 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 20%|██ | 100/500 [00:00<00:01, 342.16 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 20%|██ | 101/500 [00:00<00:01, 342.31 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 20%|██ | 102/500 [00:00<00:01, 342.33 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 21%|██ | 103/500 [00:00<00:01, 342.34 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 21%|██ | 104/500 [00:00<00:01, 342.35 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 21%|██ | 105/500 [00:00<00:01, 342.44 it/sec, feas=True, obj=0.111]
INFO - 10:04:49: 21%|██ | 106/500 [00:00<00:01, 342.56 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 21%|██▏ | 107/500 [00:00<00:01, 342.55 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 22%|██▏ | 108/500 [00:00<00:01, 342.56 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 22%|██▏ | 109/500 [00:00<00:01, 342.58 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 22%|██▏ | 110/500 [00:00<00:01, 342.61 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 22%|██▏ | 111/500 [00:00<00:01, 342.64 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 22%|██▏ | 112/500 [00:00<00:01, 342.78 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 23%|██▎ | 113/500 [00:00<00:01, 341.09 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 23%|██▎ | 114/500 [00:00<00:01, 341.10 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 23%|██▎ | 115/500 [00:00<00:01, 341.10 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 23%|██▎ | 116/500 [00:00<00:01, 341.15 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 23%|██▎ | 117/500 [00:00<00:01, 340.07 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 24%|██▎ | 118/500 [00:00<00:01, 340.09 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 24%|██▍ | 119/500 [00:00<00:01, 340.15 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 24%|██▍ | 120/500 [00:00<00:01, 340.17 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 24%|██▍ | 121/500 [00:00<00:01, 340.20 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 24%|██▍ | 122/500 [00:00<00:01, 340.40 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 25%|██▍ | 123/500 [00:00<00:01, 340.58 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 25%|██▍ | 124/500 [00:00<00:01, 340.75 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 25%|██▌ | 125/500 [00:00<00:01, 340.89 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 25%|██▌ | 126/500 [00:00<00:01, 341.02 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 25%|██▌ | 127/500 [00:00<00:01, 341.26 it/sec, feas=True, obj=0.107]
INFO - 10:04:49: 26%|██▌ | 128/500 [00:00<00:01, 341.41 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 26%|██▌ | 129/500 [00:00<00:01, 341.54 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 26%|██▌ | 130/500 [00:00<00:01, 341.67 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 26%|██▌ | 131/500 [00:00<00:01, 341.80 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 26%|██▋ | 132/500 [00:00<00:01, 341.98 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 27%|██▋ | 133/500 [00:00<00:01, 342.12 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 27%|██▋ | 134/500 [00:00<00:01, 342.24 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 27%|██▋ | 135/500 [00:00<00:01, 342.39 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 27%|██▋ | 136/500 [00:00<00:01, 342.58 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 27%|██▋ | 137/500 [00:00<00:01, 342.70 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 28%|██▊ | 138/500 [00:00<00:01, 342.85 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 28%|██▊ | 139/500 [00:00<00:01, 342.98 it/sec, feas=True, obj=0.106]
INFO - 10:04:49: 28%|██▊ | 140/500 [00:00<00:01, 343.20 it/sec, feas=True, obj=0.129]
INFO - 10:04:50: 28%|██▊ | 141/500 [00:00<00:01, 343.31 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 28%|██▊ | 142/500 [00:00<00:01, 343.49 it/sec, feas=True, obj=0.129]
INFO - 10:04:50: 29%|██▊ | 143/500 [00:00<00:01, 343.51 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 29%|██▉ | 144/500 [00:00<00:01, 343.55 it/sec, feas=True, obj=0.129]
INFO - 10:04:50: 29%|██▉ | 145/500 [00:00<00:01, 343.70 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 29%|██▉ | 146/500 [00:00<00:01, 343.85 it/sec, feas=True, obj=0.129]
INFO - 10:04:50: 29%|██▉ | 147/500 [00:00<00:01, 343.98 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 30%|██▉ | 148/500 [00:00<00:01, 344.13 it/sec, feas=True, obj=0.129]
INFO - 10:04:50: 30%|██▉ | 149/500 [00:00<00:01, 344.08 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 30%|███ | 150/500 [00:00<00:01, 344.22 it/sec, feas=True, obj=0.129]
INFO - 10:04:50: 30%|███ | 151/500 [00:00<00:01, 344.36 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 30%|███ | 152/500 [00:00<00:01, 344.54 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 31%|███ | 153/500 [00:00<00:01, 344.61 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: Optimization result:
INFO - 10:04:50: Optimizer info:
INFO - 10:04:50: Status: None
INFO - 10:04:50: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:50: Solution:
INFO - 10:04:50: Objective: 0.1058889639717153
INFO - 10:04:50: Design space:
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: | left_asymptote | 0 | 0 | 0.001118996202615428 | float |
INFO - 10:04:50: | capacity | 0.0001247844987118294 | 0.005695998250426781 | 0.01118996202615428 | float |
INFO - 10:04:50: | growth_rate | 1.293433685408852e-05 | 0.0001013760985411504 | 0.0001164090316867967 | float |
INFO - 10:04:50: | x_lag | 0 | 36.46696950035763 | 33991.36101148056 | float |
INFO - 10:04:50: | logistic_nu | 0.1 | 0.2027514358249277 | 10 | float |
INFO - 10:04:50: | asymptote_coeff | 0.5 | 1.112506122413988 | 2 | float |
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: Optimization problem:
INFO - 10:04:50: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:50: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:50: over the design space:
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: | left_asymptote | 0 | 0.0002148129006523855 | 0.001118996202615428 | float |
INFO - 10:04:50: | capacity | 0.0001247844987118294 | 0.009957173719472977 | 0.01118996202615428 | float |
INFO - 10:04:50: | growth_rate | 1.293433685408852e-05 | 4.830219842441375e-05 | 0.0001164090316867967 | float |
INFO - 10:04:50: | x_lag | 0 | 3194.586535008802 | 33991.36101148056 | float |
INFO - 10:04:50: | logistic_nu | 0.1 | 2.44846814337579 | 10 | float |
INFO - 10:04:50: | asymptote_coeff | 0.5 | 1.268384033129603 | 2 | float |
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:50: 1%| | 3/500 [00:00<00:01, 308.25 it/sec, feas=True, obj=0.86]
INFO - 10:04:50: 1%| | 4/500 [00:00<00:01, 320.54 it/sec, feas=True, obj=0.496]
INFO - 10:04:50: 1%| | 5/500 [00:00<00:01, 328.65 it/sec, feas=True, obj=0.497]
INFO - 10:04:50: 1%| | 6/500 [00:00<00:01, 333.99 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 1%|▏ | 7/500 [00:00<00:01, 338.32 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 2%|▏ | 8/500 [00:00<00:01, 341.82 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 2%|▏ | 9/500 [00:00<00:01, 344.45 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 2%|▏ | 10/500 [00:00<00:01, 346.35 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 2%|▏ | 11/500 [00:00<00:01, 348.07 it/sec, feas=True, obj=0.495]
INFO - 10:04:50: 2%|▏ | 12/500 [00:00<00:01, 349.84 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 3%|▎ | 13/500 [00:00<00:01, 350.94 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 3%|▎ | 14/500 [00:00<00:01, 351.79 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 3%|▎ | 15/500 [00:00<00:01, 352.71 it/sec, feas=True, obj=0.602]
INFO - 10:04:50: 3%|▎ | 16/500 [00:00<00:01, 353.34 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 3%|▎ | 17/500 [00:00<00:01, 350.17 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 4%|▎ | 18/500 [00:00<00:01, 351.00 it/sec, feas=True, obj=0.507]
INFO - 10:04:50: 4%|▍ | 19/500 [00:00<00:01, 351.61 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 4%|▍ | 20/500 [00:00<00:01, 352.13 it/sec, feas=True, obj=0.499]
INFO - 10:04:50: 4%|▍ | 21/500 [00:00<00:01, 352.59 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 4%|▍ | 22/500 [00:00<00:01, 353.27 it/sec, feas=True, obj=0.496]
INFO - 10:04:50: 5%|▍ | 23/500 [00:00<00:01, 353.65 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 5%|▍ | 24/500 [00:00<00:01, 353.22 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 5%|▌ | 25/500 [00:00<00:01, 353.59 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 5%|▌ | 26/500 [00:00<00:01, 354.11 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 5%|▌ | 27/500 [00:00<00:01, 354.47 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 6%|▌ | 28/500 [00:00<00:01, 354.51 it/sec, feas=True, obj=0.493]
INFO - 10:04:50: 6%|▌ | 29/500 [00:00<00:01, 354.84 it/sec, feas=True, obj=0.506]
INFO - 10:04:50: 6%|▌ | 30/500 [00:00<00:01, 352.88 it/sec, feas=True, obj=0.493]
INFO - 10:04:50: 6%|▌ | 31/500 [00:00<00:01, 352.32 it/sec, feas=True, obj=0.491]
INFO - 10:04:50: 6%|▋ | 32/500 [00:00<00:01, 352.53 it/sec, feas=True, obj=0.495]
INFO - 10:04:50: 7%|▋ | 33/500 [00:00<00:01, 352.71 it/sec, feas=True, obj=0.487]
INFO - 10:04:50: 7%|▋ | 34/500 [00:00<00:01, 352.42 it/sec, feas=True, obj=12.6]
INFO - 10:04:50: 7%|▋ | 35/500 [00:00<00:01, 352.57 it/sec, feas=True, obj=0.487]
INFO - 10:04:50: 7%|▋ | 36/500 [00:00<00:01, 352.79 it/sec, feas=True, obj=0.999]
INFO - 10:04:50: 7%|▋ | 37/500 [00:00<00:01, 352.86 it/sec, feas=True, obj=0.486]
INFO - 10:04:50: 8%|▊ | 38/500 [00:00<00:01, 353.12 it/sec, feas=True, obj=0.999]
INFO - 10:04:50: 8%|▊ | 39/500 [00:00<00:01, 353.04 it/sec, feas=True, obj=0.486]
INFO - 10:04:50: 8%|▊ | 40/500 [00:00<00:01, 353.33 it/sec, feas=True, obj=0.988]
INFO - 10:04:50: 8%|▊ | 41/500 [00:00<00:01, 352.97 it/sec, feas=True, obj=0.485]
INFO - 10:04:50: 8%|▊ | 42/500 [00:00<00:01, 352.81 it/sec, feas=True, obj=0.832]
INFO - 10:04:50: 9%|▊ | 43/500 [00:00<00:01, 352.84 it/sec, feas=True, obj=0.484]
INFO - 10:04:50: 9%|▉ | 44/500 [00:00<00:01, 352.47 it/sec, feas=True, obj=0.714]
INFO - 10:04:50: 9%|▉ | 45/500 [00:00<00:01, 352.52 it/sec, feas=True, obj=0.484]
INFO - 10:04:50: 9%|▉ | 46/500 [00:00<00:01, 352.65 it/sec, feas=True, obj=0.646]
INFO - 10:04:50: 9%|▉ | 47/500 [00:00<00:01, 352.61 it/sec, feas=True, obj=0.483]
INFO - 10:04:50: 10%|▉ | 48/500 [00:00<00:01, 352.83 it/sec, feas=True, obj=0.611]
INFO - 10:04:50: 10%|▉ | 49/500 [00:00<00:01, 352.92 it/sec, feas=True, obj=0.483]
INFO - 10:04:50: 10%|█ | 50/500 [00:00<00:01, 353.05 it/sec, feas=True, obj=0.601]
INFO - 10:04:50: 10%|█ | 51/500 [00:00<00:01, 352.69 it/sec, feas=True, obj=0.483]
INFO - 10:04:50: 10%|█ | 52/500 [00:00<00:01, 352.95 it/sec, feas=True, obj=0.594]
INFO - 10:04:50: 11%|█ | 53/500 [00:00<00:01, 353.00 it/sec, feas=True, obj=0.483]
INFO - 10:04:50: 11%|█ | 54/500 [00:00<00:01, 353.14 it/sec, feas=True, obj=0.587]
INFO - 10:04:50: 11%|█ | 55/500 [00:00<00:01, 352.78 it/sec, feas=True, obj=0.483]
INFO - 10:04:50: 11%|█ | 56/500 [00:00<00:01, 352.94 it/sec, feas=True, obj=0.585]
INFO - 10:04:50: 11%|█▏ | 57/500 [00:00<00:01, 353.05 it/sec, feas=True, obj=0.483]
INFO - 10:04:50: 12%|█▏ | 58/500 [00:00<00:01, 353.26 it/sec, feas=True, obj=0.583]
INFO - 10:04:50: 12%|█▏ | 59/500 [00:00<00:01, 353.28 it/sec, feas=True, obj=0.483]
INFO - 10:04:50: 12%|█▏ | 60/500 [00:00<00:01, 353.43 it/sec, feas=True, obj=0.582]
INFO - 10:04:50: 12%|█▏ | 61/500 [00:00<00:01, 353.11 it/sec, feas=True, obj=0.483]
INFO - 10:04:50: 12%|█▏ | 62/500 [00:00<00:01, 352.93 it/sec, feas=True, obj=0.581]
INFO - 10:04:50: 13%|█▎ | 63/500 [00:00<00:01, 353.07 it/sec, feas=True, obj=0.483]
INFO - 10:04:50: 13%|█▎ | 64/500 [00:00<00:01, 352.86 it/sec, feas=True, obj=0.581]
INFO - 10:04:50: 13%|█▎ | 65/500 [00:00<00:01, 352.68 it/sec, feas=True, obj=0.483]
INFO - 10:04:50: 13%|█▎ | 66/500 [00:00<00:01, 352.79 it/sec, feas=True, obj=0.581]
INFO - 10:04:50: 13%|█▎ | 67/500 [00:00<00:01, 352.12 it/sec, feas=True, obj=0.483]
INFO - 10:04:50: 14%|█▎ | 68/500 [00:00<00:01, 351.78 it/sec, feas=True, obj=0.58]
INFO - 10:04:50: 14%|█▍ | 69/500 [00:00<00:01, 351.58 it/sec, feas=True, obj=0.483]
INFO - 10:04:50: 14%|█▍ | 70/500 [00:00<00:01, 351.44 it/sec, feas=True, obj=0.579]
INFO - 10:04:50: 14%|█▍ | 71/500 [00:00<00:01, 350.95 it/sec, feas=True, obj=0.483]
INFO - 10:04:50: 14%|█▍ | 72/500 [00:00<00:01, 350.42 it/sec, feas=True, obj=0.471]
INFO - 10:04:50: 15%|█▍ | 73/500 [00:00<00:01, 350.03 it/sec, feas=True, obj=0.455]
INFO - 10:04:50: 15%|█▍ | 74/500 [00:00<00:01, 349.80 it/sec, feas=True, obj=0.446]
INFO - 10:04:50: 15%|█▌ | 75/500 [00:00<00:01, 349.73 it/sec, feas=True, obj=0.444]
INFO - 10:04:50: 15%|█▌ | 76/500 [00:00<00:01, 349.61 it/sec, feas=True, obj=0.441]
INFO - 10:04:50: 15%|█▌ | 77/500 [00:00<00:01, 349.51 it/sec, feas=True, obj=0.439]
INFO - 10:04:50: 16%|█▌ | 78/500 [00:00<00:01, 349.44 it/sec, feas=True, obj=0.432]
INFO - 10:04:50: 16%|█▌ | 79/500 [00:00<00:01, 349.32 it/sec, feas=True, obj=0.505]
INFO - 10:04:50: 16%|█▌ | 80/500 [00:00<00:01, 349.10 it/sec, feas=True, obj=0.427]
INFO - 10:04:50: 16%|█▌ | 81/500 [00:00<00:01, 348.83 it/sec, feas=True, obj=0.844]
INFO - 10:04:50: 16%|█▋ | 82/500 [00:00<00:01, 348.89 it/sec, feas=True, obj=0.418]
INFO - 10:04:50: 17%|█▋ | 83/500 [00:00<00:01, 348.51 it/sec, feas=True, obj=0.417]
INFO - 10:04:50: 17%|█▋ | 84/500 [00:00<00:01, 348.53 it/sec, feas=True, obj=0.387]
INFO - 10:04:50: 17%|█▋ | 85/500 [00:00<00:01, 348.47 it/sec, feas=True, obj=1]
INFO - 10:04:50: 17%|█▋ | 86/500 [00:00<00:01, 348.15 it/sec, feas=True, obj=0.414]
INFO - 10:04:50: 17%|█▋ | 87/500 [00:00<00:01, 347.69 it/sec, feas=True, obj=0.379]
INFO - 10:04:50: 18%|█▊ | 88/500 [00:00<00:01, 347.47 it/sec, feas=True, obj=0.377]
INFO - 10:04:50: 18%|█▊ | 89/500 [00:00<00:01, 347.21 it/sec, feas=True, obj=0.373]
INFO - 10:04:50: 18%|█▊ | 90/500 [00:00<00:01, 347.06 it/sec, feas=True, obj=0.424]
INFO - 10:04:50: 18%|█▊ | 91/500 [00:00<00:01, 346.86 it/sec, feas=True, obj=0.371]
INFO - 10:04:50: 18%|█▊ | 92/500 [00:00<00:01, 346.68 it/sec, feas=True, obj=0.367]
INFO - 10:04:50: 19%|█▊ | 93/500 [00:00<00:01, 346.52 it/sec, feas=True, obj=0.97]
INFO - 10:04:50: 19%|█▉ | 94/500 [00:00<00:01, 346.57 it/sec, feas=True, obj=0.364]
INFO - 10:04:50: 19%|█▉ | 95/500 [00:00<00:01, 346.36 it/sec, feas=True, obj=0.358]
INFO - 10:04:50: 19%|█▉ | 96/500 [00:00<00:01, 346.26 it/sec, feas=True, obj=0.356]
INFO - 10:04:50: 19%|█▉ | 97/500 [00:00<00:01, 346.30 it/sec, feas=True, obj=0.356]
INFO - 10:04:50: 20%|█▉ | 98/500 [00:00<00:01, 346.32 it/sec, feas=True, obj=0.356]
INFO - 10:04:50: 20%|█▉ | 99/500 [00:00<00:01, 346.35 it/sec, feas=True, obj=0.356]
INFO - 10:04:50: 20%|██ | 100/500 [00:00<00:01, 346.14 it/sec, feas=True, obj=0.356]
INFO - 10:04:50: 20%|██ | 101/500 [00:00<00:01, 346.17 it/sec, feas=True, obj=0.354]
INFO - 10:04:50: 20%|██ | 102/500 [00:00<00:01, 346.28 it/sec, feas=True, obj=0.988]
INFO - 10:04:50: 21%|██ | 103/500 [00:00<00:01, 346.17 it/sec, feas=True, obj=0.357]
INFO - 10:04:50: 21%|██ | 104/500 [00:00<00:01, 345.83 it/sec, feas=True, obj=0.352]
INFO - 10:04:50: 21%|██ | 105/500 [00:00<00:01, 345.91 it/sec, feas=True, obj=0.34]
INFO - 10:04:50: 21%|██ | 106/500 [00:00<00:01, 345.73 it/sec, feas=True, obj=0.308]
INFO - 10:04:50: 21%|██▏ | 107/500 [00:00<00:01, 345.85 it/sec, feas=True, obj=31.9]
INFO - 10:04:50: 22%|██▏ | 108/500 [00:00<00:01, 345.94 it/sec, feas=True, obj=0.578]
INFO - 10:04:50: 22%|██▏ | 109/500 [00:00<00:01, 345.85 it/sec, feas=True, obj=0.3]
INFO - 10:04:50: 22%|██▏ | 110/500 [00:00<00:01, 345.80 it/sec, feas=True, obj=1.34]
INFO - 10:04:50: 22%|██▏ | 111/500 [00:00<00:01, 345.76 it/sec, feas=True, obj=0.24]
INFO - 10:04:50: 22%|██▏ | 112/500 [00:00<00:01, 345.63 it/sec, feas=True, obj=0.204]
INFO - 10:04:50: 23%|██▎ | 113/500 [00:00<00:01, 345.59 it/sec, feas=True, obj=22.7]
INFO - 10:04:50: 23%|██▎ | 114/500 [00:00<00:01, 345.57 it/sec, feas=True, obj=0.157]
INFO - 10:04:50: 23%|██▎ | 115/500 [00:00<00:01, 345.55 it/sec, feas=True, obj=0.165]
INFO - 10:04:50: 23%|██▎ | 116/500 [00:00<00:01, 345.46 it/sec, feas=True, obj=0.145]
INFO - 10:04:50: 23%|██▎ | 117/500 [00:00<00:01, 345.36 it/sec, feas=True, obj=2.27]
INFO - 10:04:50: 24%|██▎ | 118/500 [00:00<00:01, 345.33 it/sec, feas=True, obj=0.133]
INFO - 10:04:50: 24%|██▍ | 119/500 [00:00<00:01, 345.47 it/sec, feas=True, obj=0.974]
INFO - 10:04:50: 24%|██▍ | 120/500 [00:00<00:01, 345.39 it/sec, feas=True, obj=0.191]
INFO - 10:04:50: 24%|██▍ | 121/500 [00:00<00:01, 345.47 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 24%|██▍ | 122/500 [00:00<00:01, 345.43 it/sec, feas=True, obj=0.764]
INFO - 10:04:50: 25%|██▍ | 123/500 [00:00<00:01, 345.43 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 25%|██▍ | 124/500 [00:00<00:01, 345.17 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 25%|██▌ | 125/500 [00:00<00:01, 345.18 it/sec, feas=True, obj=0.637]
INFO - 10:04:50: 25%|██▌ | 126/500 [00:00<00:01, 345.15 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 25%|██▌ | 127/500 [00:00<00:01, 344.92 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 26%|██▌ | 128/500 [00:00<00:01, 344.89 it/sec, feas=True, obj=0.635]
INFO - 10:04:50: 26%|██▌ | 129/500 [00:00<00:01, 344.86 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 26%|██▌ | 130/500 [00:00<00:01, 344.64 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 26%|██▌ | 131/500 [00:00<00:01, 344.61 it/sec, feas=True, obj=0.634]
INFO - 10:04:50: 26%|██▋ | 132/500 [00:00<00:01, 344.59 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 27%|██▋ | 133/500 [00:00<00:01, 344.38 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 27%|██▋ | 134/500 [00:00<00:01, 344.39 it/sec, feas=True, obj=0.634]
INFO - 10:04:50: 27%|██▋ | 135/500 [00:00<00:01, 344.39 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 27%|██▋ | 136/500 [00:00<00:01, 344.34 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 27%|██▋ | 137/500 [00:00<00:01, 344.20 it/sec, feas=True, obj=0.634]
INFO - 10:04:50: 28%|██▊ | 138/500 [00:00<00:01, 344.18 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 28%|██▊ | 139/500 [00:00<00:01, 344.14 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 28%|██▊ | 140/500 [00:00<00:01, 343.99 it/sec, feas=True, obj=0.633]
INFO - 10:04:50: 28%|██▊ | 141/500 [00:00<00:01, 343.98 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 28%|██▊ | 142/500 [00:00<00:01, 343.93 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 29%|██▊ | 143/500 [00:00<00:01, 343.78 it/sec, feas=True, obj=0.641]
INFO - 10:04:50: 29%|██▉ | 144/500 [00:00<00:01, 343.78 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 29%|██▉ | 145/500 [00:00<00:01, 343.76 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 29%|██▉ | 146/500 [00:00<00:01, 343.59 it/sec, feas=True, obj=0.641]
INFO - 10:04:50: 29%|██▉ | 147/500 [00:00<00:01, 343.59 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 30%|██▉ | 148/500 [00:00<00:01, 343.56 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 30%|██▉ | 149/500 [00:00<00:01, 343.42 it/sec, feas=True, obj=0.641]
INFO - 10:04:50: 30%|███ | 150/500 [00:00<00:01, 343.43 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 30%|███ | 151/500 [00:00<00:01, 342.82 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 30%|███ | 152/500 [00:00<00:01, 342.91 it/sec, feas=True, obj=0.641]
INFO - 10:04:50: 31%|███ | 153/500 [00:00<00:01, 343.01 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 31%|███ | 154/500 [00:00<00:01, 343.08 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 31%|███ | 155/500 [00:00<00:01, 342.94 it/sec, feas=True, obj=0.641]
INFO - 10:04:50: 31%|███ | 156/500 [00:00<00:01, 343.03 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 31%|███▏ | 157/500 [00:00<00:00, 343.02 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 32%|███▏ | 158/500 [00:00<00:00, 342.86 it/sec, feas=True, obj=0.641]
INFO - 10:04:50: 32%|███▏ | 159/500 [00:00<00:00, 342.95 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 32%|███▏ | 160/500 [00:00<00:00, 343.04 it/sec, feas=True, obj=0.128]
INFO - 10:04:50: 32%|███▏ | 161/500 [00:00<00:00, 343.10 it/sec, feas=True, obj=0.122]
INFO - 10:04:50: 32%|███▏ | 162/500 [00:00<00:00, 343.15 it/sec, feas=True, obj=0.112]
INFO - 10:04:50: 33%|███▎ | 163/500 [00:00<00:00, 343.22 it/sec, feas=True, obj=0.143]
INFO - 10:04:50: 33%|███▎ | 164/500 [00:00<00:00, 343.11 it/sec, feas=True, obj=0.112]
INFO - 10:04:50: 33%|███▎ | 165/500 [00:00<00:00, 343.02 it/sec, feas=True, obj=0.111]
INFO - 10:04:50: 33%|███▎ | 166/500 [00:00<00:00, 342.96 it/sec, feas=True, obj=0.111]
INFO - 10:04:50: 33%|███▎ | 167/500 [00:00<00:00, 342.92 it/sec, feas=True, obj=0.111]
INFO - 10:04:50: 34%|███▎ | 168/500 [00:00<00:00, 342.78 it/sec, feas=True, obj=0.111]
INFO - 10:04:50: 34%|███▍ | 169/500 [00:00<00:00, 342.74 it/sec, feas=True, obj=0.11]
INFO - 10:04:50: 34%|███▍ | 170/500 [00:00<00:00, 342.71 it/sec, feas=True, obj=0.11]
INFO - 10:04:50: 34%|███▍ | 171/500 [00:00<00:00, 342.54 it/sec, feas=True, obj=0.11]
INFO - 10:04:50: 34%|███▍ | 172/500 [00:00<00:00, 342.50 it/sec, feas=True, obj=0.11]
INFO - 10:04:50: 35%|███▍ | 173/500 [00:00<00:00, 342.50 it/sec, feas=True, obj=0.111]
INFO - 10:04:50: 35%|███▍ | 174/500 [00:00<00:00, 342.42 it/sec, feas=True, obj=0.11]
INFO - 10:04:50: 35%|███▌ | 175/500 [00:00<00:00, 342.46 it/sec, feas=True, obj=0.11]
INFO - 10:04:50: 35%|███▌ | 176/500 [00:00<00:00, 342.53 it/sec, feas=True, obj=0.11]
INFO - 10:04:50: 35%|███▌ | 177/500 [00:00<00:00, 341.56 it/sec, feas=True, obj=0.11]
INFO - 10:04:50: 36%|███▌ | 178/500 [00:00<00:00, 341.34 it/sec, feas=True, obj=0.11]
INFO - 10:04:50: 36%|███▌ | 179/500 [00:00<00:00, 341.40 it/sec, feas=True, obj=0.11]
INFO - 10:04:50: 36%|███▌ | 180/500 [00:00<00:00, 341.48 it/sec, feas=True, obj=0.109]
INFO - 10:04:50: 36%|███▌ | 181/500 [00:00<00:00, 341.56 it/sec, feas=True, obj=0.109]
INFO - 10:04:50: 36%|███▋ | 182/500 [00:00<00:00, 341.64 it/sec, feas=True, obj=0.109]
INFO - 10:04:50: 37%|███▋ | 183/500 [00:00<00:00, 341.62 it/sec, feas=True, obj=0.113]
INFO - 10:04:50: 37%|███▋ | 184/500 [00:00<00:00, 341.71 it/sec, feas=True, obj=0.109]
INFO - 10:04:50: 37%|███▋ | 185/500 [00:00<00:00, 341.80 it/sec, feas=True, obj=0.11]
INFO - 10:04:50: 37%|███▋ | 186/500 [00:00<00:00, 341.87 it/sec, feas=True, obj=0.109]
INFO - 10:04:50: 37%|███▋ | 187/500 [00:00<00:00, 341.82 it/sec, feas=True, obj=0.108]
INFO - 10:04:50: 38%|███▊ | 188/500 [00:00<00:00, 341.76 it/sec, feas=True, obj=0.108]
INFO - 10:04:50: 38%|███▊ | 189/500 [00:00<00:00, 341.80 it/sec, feas=True, obj=0.108]
INFO - 10:04:50: 38%|███▊ | 190/500 [00:00<00:00, 341.74 it/sec, feas=True, obj=0.108]
INFO - 10:04:50: 38%|███▊ | 191/500 [00:00<00:00, 341.76 it/sec, feas=True, obj=0.107]
INFO - 10:04:50: 38%|███▊ | 192/500 [00:00<00:00, 341.78 it/sec, feas=True, obj=0.107]
INFO - 10:04:50: 39%|███▊ | 193/500 [00:00<00:00, 341.64 it/sec, feas=True, obj=0.107]
INFO - 10:04:50: 39%|███▉ | 194/500 [00:00<00:00, 341.70 it/sec, feas=True, obj=0.107]
INFO - 10:04:50: 39%|███▉ | 195/500 [00:00<00:00, 341.66 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 39%|███▉ | 196/500 [00:00<00:00, 341.58 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 39%|███▉ | 197/500 [00:00<00:00, 341.57 it/sec, feas=True, obj=0.138]
INFO - 10:04:50: 40%|███▉ | 198/500 [00:00<00:00, 341.53 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 40%|███▉ | 199/500 [00:00<00:00, 341.49 it/sec, feas=True, obj=0.107]
INFO - 10:04:50: 40%|████ | 200/500 [00:00<00:00, 341.53 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 40%|████ | 201/500 [00:00<00:00, 341.53 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 40%|████ | 202/500 [00:00<00:00, 341.46 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 41%|████ | 203/500 [00:00<00:00, 341.47 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 41%|████ | 204/500 [00:00<00:00, 341.55 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 41%|████ | 205/500 [00:00<00:00, 341.61 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 41%|████ | 206/500 [00:00<00:00, 341.67 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 41%|████▏ | 207/500 [00:00<00:00, 341.77 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 42%|████▏ | 208/500 [00:00<00:00, 341.68 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 42%|████▏ | 209/500 [00:00<00:00, 341.73 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 42%|████▏ | 210/500 [00:00<00:00, 341.81 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 42%|████▏ | 211/500 [00:00<00:00, 341.79 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 42%|████▏ | 212/500 [00:00<00:00, 341.80 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 43%|████▎ | 213/500 [00:00<00:00, 341.88 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 43%|████▎ | 214/500 [00:00<00:00, 341.94 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 43%|████▎ | 215/500 [00:00<00:00, 341.82 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 43%|████▎ | 216/500 [00:00<00:00, 341.89 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 43%|████▎ | 217/500 [00:00<00:00, 341.95 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 44%|████▎ | 218/500 [00:00<00:00, 341.94 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 44%|████▍ | 219/500 [00:00<00:00, 341.90 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 44%|████▍ | 220/500 [00:00<00:00, 341.99 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 44%|████▍ | 221/500 [00:00<00:00, 341.98 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 44%|████▍ | 222/500 [00:00<00:00, 342.02 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 45%|████▍ | 223/500 [00:00<00:00, 342.07 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 45%|████▍ | 224/500 [00:00<00:00, 342.13 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 45%|████▌ | 225/500 [00:00<00:00, 342.04 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 45%|████▌ | 226/500 [00:00<00:00, 342.09 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 45%|████▌ | 227/500 [00:00<00:00, 342.17 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 46%|████▌ | 228/500 [00:00<00:00, 342.23 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 46%|████▌ | 229/500 [00:00<00:00, 342.30 it/sec, feas=True, obj=0.141]
INFO - 10:04:50: 46%|████▌ | 230/500 [00:00<00:00, 342.36 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 46%|████▌ | 231/500 [00:00<00:00, 342.43 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 46%|████▋ | 232/500 [00:00<00:00, 342.41 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 47%|████▋ | 233/500 [00:00<00:00, 342.49 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 47%|████▋ | 234/500 [00:00<00:00, 342.55 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 47%|████▋ | 235/500 [00:00<00:00, 342.61 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 47%|████▋ | 236/500 [00:00<00:00, 342.50 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 47%|████▋ | 237/500 [00:00<00:00, 342.53 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 48%|████▊ | 238/500 [00:00<00:00, 342.52 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 48%|████▊ | 239/500 [00:00<00:00, 342.41 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 48%|████▊ | 240/500 [00:00<00:00, 342.45 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 48%|████▊ | 241/500 [00:00<00:00, 342.41 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 48%|████▊ | 242/500 [00:00<00:00, 342.37 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 49%|████▊ | 243/500 [00:00<00:00, 342.35 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 49%|████▉ | 244/500 [00:00<00:00, 342.40 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 49%|████▉ | 245/500 [00:00<00:00, 342.37 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 49%|████▉ | 246/500 [00:00<00:00, 342.39 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 49%|████▉ | 247/500 [00:00<00:00, 342.37 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 50%|████▉ | 248/500 [00:00<00:00, 342.44 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 50%|████▉ | 249/500 [00:00<00:00, 342.49 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 50%|█████ | 250/500 [00:00<00:00, 342.53 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 50%|█████ | 251/500 [00:00<00:00, 342.54 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 50%|█████ | 252/500 [00:00<00:00, 342.45 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 51%|█████ | 253/500 [00:00<00:00, 342.47 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 51%|█████ | 254/500 [00:00<00:00, 342.45 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 51%|█████ | 255/500 [00:00<00:00, 342.35 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 51%|█████ | 256/500 [00:00<00:00, 342.36 it/sec, feas=True, obj=0.107]
INFO - 10:04:50: 51%|█████▏ | 257/500 [00:00<00:00, 342.40 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 52%|█████▏ | 258/500 [00:00<00:00, 342.33 it/sec, feas=True, obj=0.107]
INFO - 10:04:50: 52%|█████▏ | 259/500 [00:00<00:00, 342.31 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 52%|█████▏ | 260/500 [00:00<00:00, 342.34 it/sec, feas=True, obj=0.107]
INFO - 10:04:50: 52%|█████▏ | 261/500 [00:00<00:00, 342.24 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 52%|█████▏ | 262/500 [00:00<00:00, 342.23 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: 53%|█████▎ | 263/500 [00:00<00:00, 342.24 it/sec, feas=True, obj=0.106]
INFO - 10:04:50: Optimization result:
INFO - 10:04:50: Optimizer info:
INFO - 10:04:50: Status: None
INFO - 10:04:50: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:50: Solution:
INFO - 10:04:50: Objective: 0.10579654199359098
INFO - 10:04:50: Design space:
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: | left_asymptote | 0 | 0 | 0.001118996202615428 | float |
INFO - 10:04:50: | capacity | 0.0001247844987118294 | 0.01110520786275934 | 0.01118996202615428 | float |
INFO - 10:04:50: | growth_rate | 1.293433685408852e-05 | 0.0001050117377004623 | 0.0001164090316867967 | float |
INFO - 10:04:50: | x_lag | 0 | 0 | 33991.36101148056 | float |
INFO - 10:04:50: | logistic_nu | 0.1 | 0.187402130181029 | 10 | float |
INFO - 10:04:50: | asymptote_coeff | 0.5 | 1.274978323803727 | 2 | float |
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: Optimization problem:
INFO - 10:04:50: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:50: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:50: over the design space:
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: | left_asymptote | 0 | 0.0008511817742134378 | 0.001118996202615428 | float |
INFO - 10:04:50: | capacity | 0.0001247844987118294 | 0.004174293037728953 | 0.01118996202615428 | float |
INFO - 10:04:50: | growth_rate | 1.293433685408852e-05 | 5.83251634835777e-05 | 0.0001164090316867967 | float |
INFO - 10:04:50: | x_lag | 0 | 31071.49307574071 | 33991.36101148056 | float |
INFO - 10:04:50: | logistic_nu | 0.1 | 0.718939629283106 | 10 | float |
INFO - 10:04:50: | asymptote_coeff | 0.5 | 0.8436723551539397 | 2 | float |
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:50: 1%| | 3/500 [00:00<00:01, 400.87 it/sec, feas=True, obj=0.505]
INFO - 10:04:50: 1%| | 4/500 [00:00<00:01, 385.99 it/sec, feas=True, obj=0.512]
INFO - 10:04:50: 1%| | 5/500 [00:00<00:01, 375.18 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 1%| | 6/500 [00:00<00:01, 372.69 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 1%|▏ | 7/500 [00:00<00:01, 369.51 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 2%|▏ | 8/500 [00:00<00:01, 368.55 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: Optimization result:
INFO - 10:04:50: Optimizer info:
INFO - 10:04:50: Status: None
INFO - 10:04:50: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
INFO - 10:04:50: Solution:
INFO - 10:04:50: Objective: 0.49442635993442974
INFO - 10:04:50: Design space:
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: | left_asymptote | 0 | 0.0004651011136770224 | 0.001118996202615428 | float |
INFO - 10:04:50: | capacity | 0.0001247844987118294 | 0.002152268198381371 | 0.01118996202615428 | float |
INFO - 10:04:50: | growth_rate | 1.293433685408852e-05 | 8.681619122544657e-05 | 0.0001164090316867967 | float |
INFO - 10:04:50: | x_lag | 0 | 32660.63223268995 | 33991.36101148056 | float |
INFO - 10:04:50: | logistic_nu | 0.1 | 0.1000079321169017 | 10 | float |
INFO - 10:04:50: | asymptote_coeff | 0.5 | 1.004760782922377 | 2 | float |
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: Optimization problem:
INFO - 10:04:50: minimize mse(left_asymptote, capacity, growth_rate, x_lag, logistic_nu, asymptote_coeff)
INFO - 10:04:50: with respect to asymptote_coeff, capacity, growth_rate, left_asymptote, logistic_nu, x_lag
INFO - 10:04:50: over the design space:
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: | left_asymptote | 0 | 0.0007376501222942897 | 0.001118996202615428 | float |
INFO - 10:04:50: | capacity | 0.0001247844987118294 | 0.01102650737666505 | 0.01118996202615428 | float |
INFO - 10:04:50: | growth_rate | 1.293433685408852e-05 | 6.831320965999075e-05 | 0.0001164090316867967 | float |
INFO - 10:04:50: | x_lag | 0 | 23676.09278630121 | 33991.36101148056 | float |
INFO - 10:04:50: | logistic_nu | 0.1 | 9.139004831852635 | 10 | float |
INFO - 10:04:50: | asymptote_coeff | 0.5 | 1.532147905942009 | 2 | float |
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: Solving optimization problem with algorithm L-BFGS-B:
INFO - 10:04:50: 1%| | 3/499 [00:00<00:01, 390.30 it/sec, feas=True, obj=0.501]
INFO - 10:04:50: 1%| | 4/499 [00:00<00:01, 383.37 it/sec, feas=True, obj=0.495]
INFO - 10:04:50: 1%| | 5/499 [00:00<00:01, 377.79 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: 1%| | 6/499 [00:00<00:01, 372.10 it/sec, feas=True, obj=0.494]
INFO - 10:04:50: Optimization result:
INFO - 10:04:50: Optimizer info:
INFO - 10:04:50: Status: 0
INFO - 10:04:50: Message: CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL
INFO - 10:04:50: Solution:
INFO - 10:04:50: Objective: 0.4944263614361649
INFO - 10:04:50: Design space:
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: | left_asymptote | 0 | 0.0004651011400338364 | 0.001118996202615428 | float |
INFO - 10:04:50: | capacity | 0.0001247844987118294 | 0.0001836483988120099 | 0.01118996202615428 | float |
INFO - 10:04:50: | growth_rate | 1.293433685408852e-05 | 0.0001164090316867967 | 0.0001164090316867967 | float |
INFO - 10:04:50: | x_lag | 0 | 33991.36101148056 | 33991.36101148056 | float |
INFO - 10:04:50: | logistic_nu | 0.1 | 0.1 | 10 | float |
INFO - 10:04:50: | asymptote_coeff | 0.5 | 2 | 2 | float |
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: Optimization result:
INFO - 10:04:50: Optimizer info:
INFO - 10:04:50: Status: None
INFO - 10:04:50: Message: None
INFO - 10:04:50: Solution:
INFO - 10:04:50: Objective: 0.10579601675063506
INFO - 10:04:50: Design space:
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: | Name | Lower bound | Value | Upper bound | Type |
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: | left_asymptote | 0 | 0 | 0.001118996202615428 | float |
INFO - 10:04:50: | capacity | 0.0001247844987118294 | 0.01118996202615428 | 0.01118996202615428 | float |
INFO - 10:04:50: | growth_rate | 1.293433685408852e-05 | 0.0001048864802764716 | 0.0001164090316867967 | float |
INFO - 10:04:50: | x_lag | 0 | 0 | 33991.36101148056 | float |
INFO - 10:04:50: | logistic_nu | 0.1 | 0.1872049690873935 | 10 | float |
INFO - 10:04:50: | asymptote_coeff | 0.5 | 1.276032084960369 | 2 | float |
INFO - 10:04:50: +-----------------+-----------------------+-----------------------+-----------------------+-------+
INFO - 10:04:50: *** End MDOScenario execution ***
{'left_asymptote': array([0.]), 'capacity': array([0.01118996]), 'growth_rate': array([0.00010489]), 'x_lag': array([0.]), 'logistic_nu': array([0.18720497]), 'asymptote_coeff': array([1.27603208]), 'x': array([ 812.22221174, 878.5926201 , 993.0313294 , 1188.11849559,
1343.08497689, 1468.78135167, 1568.57393134, 1743.36662912,
2025.85326308, 2302.87779075, 2552.05848943, 2594.25543433,
2522.46911415, 2527.38428673, 2582.87404918, 2659.16990771,
3090.05171095, 3457.79436893, 3792.79322458, 3895.50064995,
4318.91253431, 4428.10783685, 4658.73086835, 4662.16625043,
4944.93799252, 5422.19801988, 5462.4945084 , 5364.55127824,
5276.6382201 , 5402.58193267, 5508.43301375, 5401.40256884,
5536.51492422, 6129.09855708, 6820.29545468, 7293.72387688,
7805.61187262, 8687.42984341, 9429.27480262, 8832.30414329,
9558.02173069, 10473.7448539 , 10575.66012994, 10738.31740827,
10898.72081124, 10156.9534578 , 10208.86990025, 10746.85626842,
11290.09997485, 11330.45367049, 10895.73523291, 12335.85920721])}
The parameters obtained in this calibration are set as default for the air traffic estimation based on socioeconomic drivers (population, income) from the AR6 scenarios.
Total running time of the script: (0 minutes 44.016 seconds)