pesos = [[10**-4, 10**-1], [10**-5, 10**-1], [10**-6,
10**-1], [10**-7, 10**-1],
[10**-8, 10**-1], [10**-4, 10**-2], [10**-5, 10**-2],
[10**-6, 10**-2], [10**-7, 10**-2], [10**-8, 10**-2]]
input = input01.input()
META_ACO = aco.AcoStaffing(staff=input.staff,
skill=input.skill,
task=input.task,
staff_skill=input.staff_skill,
task_skill=input.task_skill,
task_precedent=input.task_precedent,
mind_strategy=input.mind_strategy)
log.COUNTER_TIME = 1
log.debug_timer("Empezando seguimiento...")
META_ACO.config(ants=20,
alpha=3,
beta=1,
rho=0.5,
tau=0.4,
quu=0.5,
generation=200)
history = []
history_iter = []
max_total = []
fit_max = 0
for e in pesos:
fit_iter = 0
import numpy as np
from alglib.meta import aco
from alglib.help import log
import input01
input = input01.input()
META_ACO = aco.AcoStaffing(staff=input.staff,
skill=input.skill,
task=input.task,
staff_skill=input.staff_skill,
task_skill=input.task_skill,
task_precedent=input.task_precedent,
mind_strategy=input.mind_strategy)
log.COUNTER_TIME = 1
log.debug_timer("Empezando seguimiento...")
META_ACO.config(ants=20,
alpha=3,
beta=1,
rho=0.5,
tau=0.4,
quu=0.5,
generation=250,
is_normalize=False,
is_stress=True)
META_ACO.weight_config(wcost=0.5, wdur=0.5)
history = []
print(40 * "-")