def setUp(self):
self.pop = createPop()
rand_individual = self.pop[random.randint(0, len(self.pop))]
self.ch1 = [rand_individual.wi, rand_individual.wo]
rand_individual = self.pop[random.randint(0, len(self.pop))]
self.ch2 = [rand_individual.wi, rand_individual.wo]
self.o1, self.o2 = crossover(self.ch1, self.ch2, NN)
def setUp(self): self.pop = createPop() rand_individual = self.pop[random.randint(0, len(self.pop))] self.ch1 = [rand_individual.wi, rand_individual.wo] rand_individual = self.pop[random.randint(0, len(self.pop))] self.ch2 = [rand_individual.wi, rand_individual.wo] self.o1, self.o2 = crossover(self.ch1, self.ch2, NN)
def evolveNewPop(rankedPop):
"""
rankedPop is zip(weights, errors, fitnesses) ordered in ascending
order of fitness
"""
rankedWeights = [item[0] for item in rankedPop]
fitnessScores = [item[-1] for item in rankedPop]
newpopW = deepcopy(rankedWeights[:NN.eliteN])
while len(newpopW) < NN.pop_size:
ch1, ch2 = selectTwoIndividuals(fitnessScores, rankedWeights)
if random.random() <= NN.crossover_rate:
ch1, ch2 = crossover(ch1, ch2, NN)
mutate(ch1, NN.mutation_rate)
mutate(ch2, NN.mutation_rate)
newpopW.append(ch1)
newpopW.append(ch2)
return newpopW[:NN.pop_size]
def evolveNewPop(rankedPop):
"""
rankedPop is zip(weights, errors, fitnesses) ordered in ascending
order of fitness
"""
rankedWeights = [item[0] for item in rankedPop]
fitnessScores = [item[-1] for item in rankedPop]
newpopW = deepcopy(rankedWeights[:NN.eliteN])
while len(newpopW) < NN.pop_size:
ch1, ch2 = selectTwoIndividuals(fitnessScores, rankedWeights)
if random.random() <= NN.crossover_rate:
ch1, ch2 = crossover(ch1, ch2, NN)
mutate(ch1, NN.mutation_rate)
mutate(ch2, NN.mutation_rate)
newpopW.append(ch1)
newpopW.append(ch2)
return newpopW[:NN.pop_size]