1. 初始化种群

population = initialize_population(population_size, schedule_length)

2. 迭代进化

for generation in range(max_generations):
# 2.1 计算每个个体的适应度
fitness_values = calculate_fitness(population, constraints)

# 2.2 选择优秀的个体
selected_population = select_population(population, fitness_values)

# 2.3 交叉操作
offspring_population = crossover(selected_population, crossover_rate)

# 2.4 变异操作
mutated_population = mutate(offspring_population, mutation_rate)

# 2.5 更新种群
population = mutated_population

3. 返回最优解

best_schedule = get_best_schedule(population)