带罚函数的自适应粒子群算法.

利用遗传算法求解柔性车间调度问题，采用Python编程实现(Using Genetic Algorithm to Solve Flexible Workshop Scheduling Problem)

能实现原生BBO算法，以及与其他进化算法进行对比(The native BBO algorithm can be implemented and compared with other evolutionary algorithms)

matlab环境下的遗传算法工具包，可直接调用(Genetic algorithm toolkit)

说明：  含电动汽车的微电网的优化运行，用粒子群算法进行多目标优化(Multi-objective optimization is carried out by using particle swarm optimization algorithm (PSO) to optimize the operation of microgrid with electric vehicles)

minmin算法，适用于任务调度，可以与GA以及PSO等进行比较，是最基础的算法。(Minmin algorithm is suitable for task scheduling.)

说明：  用蜻蜓算法求解多目标优化问题，可以运行，完整代码(Using Dragonfly algorithm to solve multi-objective optimization problems, it can run, complete code)

说明：  本代码是基于蚁群算法的多配送中心的车辆调度问题的研究论文的源代码，包括数据集，找了很久网上信息不全，加上自己总结，最终调试成功，分享一下(This code is the source code of the research paper on the vehicle scheduling problem of multiple distribution centers based on ant colony algorithm, including data set. After a long time of searching for incomplete information on the Internet, plus my own summary, the final debugging is successful. Share it)

说明：  基于多样本和遗忘能力的扩展粒子群算法，关于粒子群改进的代码，提供给大家学习。(An expanded particle swarm optimization based on multi-exemplar and forgetting ability)

天牛须算法的简单编写，需要自己替换适应度函数(The algorithm is simple and needs to replace its fitness function.)

说明：  基于精英变异算法的电动汽车充电优化策略以及结果的可视化(EV charging optimization strategy based on elite mutation algorithm and the visualization of results)