Python mutate示例

示例#1

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]

示例#2

文件： GA.py 项目： mfbx9da4/neuron-astrocyte-networks

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]