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")))