def simulate():
populationSize = 150
ga = Generation(populationSize, weight, nrCities)
ga.initializePopulation()
print('________________generation 1______________')
sol = ga.bestIndividual()
print('Best fitness this generation: ' +
str(sol.__getattribute__("fitness")))
print('Best fitness: ' + str(sol.__getattribute__("fitness")))
bestFitnessEver = sol.__getattribute__("fitness")
bestFor = 1
genNo = 2
while bestFor != 100:
ga.evolveElite()
sol = ga.bestIndividual()
if sol.__getattribute__("fitness") < bestFitnessEver:
bestFitnessEver = sol.__getattribute__("fitness")
bestFor = 1
else:
bestFor += 1
print('________________generation ' + str(genNo + 1) +
'______________')
print('Best fitness this generation: ' +
str(sol.__getattribute__("fitness")))
print('Best fitness: ' + str(bestFitnessEver))
genNo += 1
print(nrCities)
solution = sol.__getattribute__("repres")
for i in range(len(solution)):
print(solution[i] + 1, end=' ')
print()
print(str(sol.__getattribute__("fitness")))
