i = 0
usage_models = [PoissonUsageModel(scale=1)]
for rv in rvs:
for horizon in [0, 1, 2, 3, 4]:
for u in usage_models:
for b in [0.001, 1, 10, 100, 1000, 10000]:
for h in [1]:
configs.append(ModelConfig(
gamma=1,
lead_time=0,
info_state_rvs=None,
holding_cost=h,
backlogging_cost=b,
setup_cost=0,
unit_price=0,
usage_model=u,
increments=1,
horizon=horizon,
info_rv=rv,
label="k0_geometric_bookings",
label_index=i)
)
i += 1
if __name__ == "__main__":
xs = list(range(0, 30))
ts = list(range(0, 21))
run_configs(configs, ts, xs, pools=8)
from scm_optimization.model import StationaryOptModel, ModelConfig, run_configs, run_config
from scripts.optimization_model.model_configs import action_increment_configs, \
non_convex_search_deterministic_usage_configs, leadtime_configs
if __name__ == "__main__":
xs = [0]
ts = list(range(0, 25))
print(action_increment_configs.configs)
run_configs(non_convex_search_deterministic_usage_configs.configs,
ts,
xs,
pools=8)
run_configs(leadtime_configs.configs, ts, xs, pools=8)