13、复杂环境中的搜索算法：遗传算法、连续空间搜索与非确定性行动搜索

复杂环境中的搜索算法：遗传算法、连续空间搜索与非确定性行动搜索

1. 遗传算法

遗传算法模拟自然选择和遗传机制，在优化问题中寻找最优解。以下是遗传算法的代码实现：

def GENETIC-ALGORITHM(population, fitness):
    while True:
        weights = WEIGHTED-BY(population, fitness)
        population2 = []
        for i in range(len(population)):
            parent1, parent2 = WEIGHTED-RANDOM-CHOICES(population, weights, 2)
            child = REPRODUCE(parent1, parent2)
            if random.random() < small_random_probability:
                child = MUTATE(child)
            population2.append(child)
        population = population2
        if some individual is fit enough or enough time has elapsed:
            break
    return the best individual in population according to fitness

def REPRODUCE(parent