def iteration(self):
pop = self.__pop.getPop()
i1 = random.randint(0, len(pop) - 1)
i2 = random.randint(0, len(pop) - 1)
if i1 != i2:
c = Individual.crossover(pop[i1], pop[i2])
c.mutate(self.__prob)
f1 = pop[i1].fitness()
f2 = pop[i2].fitness()
fc = c.fitness()
if (f1 > f2) and (f1 > fc):
pop[i1] = c
if (f2 > f1) and (f2 > fc):
pop[i2] = c
self.__pop.setPop(pop)
def iteration(self):
"""
an iteration
pop: the current population
pM: the probability the mutation to occure
vmin: the minimum possible value
vmax: the maximum possible value
"""
i1 = self.__population.selection()
i2 = self.__population.selection()
if i1 != i2:
child = Individual.crossover(i1, i2)
child.mutate(self.__mutationProbability)
self.__population.getPopulation().append(child)
self.__population.getPopulation().sort(reverse=True)
self.__population.getPopulation().pop(0)
