关于电力系统调度，分布估计，和声搜索，教学优化，人工蚁群，量子优化等算法。-About power system dispatch, distribution estimation, harmony search, teaching optimization, artificial ant colony, quantum optimization algorithms.

本算法采用了基于蚁群算法的遗传算法对车辆进行调度，车辆能够找到最优路径，实现最短时间调度，实验验证了算法良好。(The algorithm uses a genetic algorithm based on ant colony algorithm to schedule the vehicle the vehicle can find the optimal path to achieve the shortest time scheduling experiments show that t

python源码，利用人工蚁群算法解决带时间窗的车辆调度问题。(Python source code, using artificial ant colony algorithm to solve the vehicle scheduling problem with time windows.)