def main():
net = readFile("date2.txt")
# print(net['mat'])
dim = net['nrCities']
problParams = {'dim': dim}
gaParams = {'dimPop': 100, 'nrGen': 200}
ga = GA(net['mat'], problParams, gaParams)
ga.initPopulation()
ga.evaluateFitness()
maxFitness = -1
bestRepres = []
filename = "hardE_out.txt"
f = open(filename, "w")
for gen in range(gaParams['nrGen']):
bestChrom = ga.bestChromosome()
bestSolution = ga.bestChromosome().repres
bestSolutionFitness = ga.bestChromosome().fitness
if bestSolutionFitness > maxFitness:
maxFitness = bestSolutionFitness
bestRepres = bestSolution
f.write("best chromosome in generation " + str(gen) + " is " +
str(bestSolution) + " with distance = " +
str(ga.getDistance(bestChrom)) + " with fitness = " +
str(bestSolutionFitness) + "\n")
# ga.oneGeneration()
ga.oneGenerationElitism()
bestChromo = ga.bestChromosome()
repres = bestChromo.repres
repres.append(bestChromo.repres[0])
# for i in range(len(repres)):
# repres[i] += 1
f.write("best solution over all: " + str(repres) + " with distance = " +
str(ga.getDistance(bestChromo)) + " and fitness = " +
str(bestChromo.fitness) + "\n")
f.close()
