def ga(self):
network = self.__repo.read_file()
self.__probParam['noNodes'] = network['noNodes']
self.__probParam['mat'] = network['mat']
ga = GA(self.__param, self.__probParam)
ga.initialisation()
ga.evaluation()
g = 0
fitnessuri = []
while g < 500:
# ga.oneGenerationElitism()
ga.oneGenerationElitism2()
g += 1
best_chromo = ga.bestChromosome()
print('Best solution in generation ' + str(g) + ' is: x = ' +
str(best_chromo.repres) + '\nhas fit: ' +
str(best_chromo.fitness) + '\n')
fitnessuri.append(best_chromo.fitness)
return fitnessuri
