log_routes_folder = main_folder + 'logs/routes/'
log_histories_folder = main_folder + 'logs/histories/'
makedirs(log_measurements_folder, exist_ok=True)
makedirs(log_routes_folder, exist_ok=True)
makedirs(log_histories_folder, exist_ok=True)
# Simulation object
sim = Simulator(net_path, fleet_path, measurements_path, routes_path, history_path, mat_path, 5.,
main_folder=main_folder, std_factor=std_factor)
# Drop time windows and save
sim.network.drop_time_windows(filepath=sim.network_path)
# Dispatcher to optimize
dispatcher = Dispatcher.Dispatcher(sim.network_path, sim.fleet_path, sim.measurements_path, sim.routes_path,
onGA_hyper_parameters=onGA_hyper_parameters)
# Start loop
non_altered = 0
while not sim.done():
if non_altered < keep:
non_altered += 1
else:
sim.disturb_network()
non_altered = 0
sim.forward_fleet()
sim.save_history()
# Time when everything occurs
log_time = datetime.today().strftime('%Y_%m_%d-%H_%M_%S')
MUTPB=0.6,
weights=(0.1 / 2.218, 1. / 0.4364,
1. / 100, 1. / 500, 1.),
K1=100000,
K2=200000,
keep_best=1,
tournament_size=3,
r=2,
alpha_up=soc_policy[1],
algorithm_name='onGA',
crossover_repeat=1,
mutation_repeat=1)
dispatcher = Dispatcher.Dispatcher(
net_path,
fleet_path,
measurements_path,
routes_path,
onGA_hyper_parameters=onGA_hyper_parameters)
dispatcher.update()
cp_info = dispatcher.synchronization()
routes_from_critical_points = {}
for id_ev in cp_info.keys():
r = dispatcher.routes[id_ev]
j_critical = cp_info[id_ev][0]
x1_0 = cp_info[id_ev][1]
x2_0 = cp_info[id_ev][2]
x3_0 = cp_info[id_ev][3]
ev = dispatcher.fleet.vehicles[id_ev]
ev.current_max_tour_duration = ev.max_tour_duration + dispatcher.depart_info[