def main():
np.random.seed(7890)
# recebendo instâncias
r = ReadingDatas("dat/p01")
r.readFile()
# adicionando clientes
Customers.addCustomers(r)
# for cst in Customers.get_customersList().values():
# print(cst)
# adicionando depósitos
Depots.addDepots(r)
# print("\n\n\n\")
# for dpt in Depots.get_depotsList().values():
# print(dpt)
# cálculo das distâncias
Distances.euclidianDistanceAll(Customers.get_customersList(),
Depots.get_depotsList())
# for cst in Customers.get_customersList():
# print(cst)
# print(Customers.get_customersList()[cst].get_depotsDistances())
# print("\n\n\n")
# for cst in Customers.get_customersList():
# print(cst)
# print(Customers.get_customersList()[cst].get_neighborsDistances())
ga = GA()
ga.GA()
def main(SEED, POP, DESC, PROB_MUT, PROB_LS_POP, PROB_LS, PROB_LSB, PROB_LSBP,
GEN_ILS, GEN_ILSA, DATFILE, INSTANCE):
# redefinindo variáveis conforme Package Irace
# config.FRAC_MAX_DISTRIBUTION = FRAC
config.SIZE_POP = POP
config.SIZE_DESC = DESC
config.PROB_MUTATION = PROB_MUT
config.PROB_LS_POP = PROB_LS_POP
config.PROB_LS = PROB_LS
config.PROB_LS_BEST = PROB_LSB
config.PROB_LS_BEST_P = PROB_LSBP
config.GEN_ILS = GEN_ILS
config.GEN_ILSA = GEN_ILSA
seed = SEED
timeIni = time.time()
# exit(0)
# recebendo instâncias
r = ReadingDatas(INSTANCE)
r.readFile()
# adicionando clientes
Customers.addCustomers(r)
# adicionando depósitos
Depots.addDepots(r)
# cálculo das distâncias
Distances.euclidianDistanceAll(Customers.get_customersList(),
Depots.get_depotsList())
ga = GA()
best = ga.GA(seed)
cost = best.get_cost()
timeEnd = (time.time() - timeIni) / 60.0
logging.debug("Melhor indivíduo: %s" % best)
logging.debug("tempo total: " + str(timeEnd) + " minutos.")
logging.debug("------------fim algoritmo genético-----------")
with open(DATFILE, 'w') as f:
f.write(str(cost))