RWGWO-PE

说明：  解决车间资源分配的动态调度问题，采用遗传算法(Solving the dynamic scheduling problem of workshop resource allocation, using genetic algorithm)

说明：  一种改进的差分算法，包含cec2005部分单目标无约束测试函数(An improved difference algorithm)

利用遗传算法实现机器人最优路径规划，优化算法步骤实现迭代次数最第，包括文档说明和算法说明(The genetic algorithm is used to realize the optimal path planning of robots, and the optimal algorithm steps are used to achieve the highest number of iterations, including document description and algorithm description.)

说明：  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)

说明：  能够规划三维环境下的最优路径，能够满足多约束条件的目标规划(optimal path planning in three-dimensional enviroment)

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)

东北大学汪定伟编写的智能优化方法教材，对目前主要的智能优化方法遗传算法、禁忌搜索、蚁群算法和粒子群算法进行了介绍，内容详尽经典，是一本学习智能优化方法的好教材。(a good book about intelligent Optimization)

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)

灰狼算法和粒子群算法的结合，是两种种群算法的结合，值得一看(The combination of grey Wolf algorithm and particle swarm optimization is a combination of two population algorithms, which is worth a look)

说明：  蚁群算法的改进，提出四个种类的蚂蚁选择城市的四种不同方式，(The improvement of ant colony algorithm proposes four different ways for four kinds of ants to select cities,)