调度

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)

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)

遗传算法最大化峰值旁瓣电平，给出阵元数，阵列长度，遗传及交叉因子，得出最优的PSB(The genetic algorithm maximizes the peak sidelobe level, giving the number of array elements, the length of the array, the genetic and crossover factors, and derives the optimal PSB)

说明：  新型的智能优化算法，水波优化算法，在基准函数CEC2014上比PSO，BBO，HS等表现要好。(A New Intelligent Optimum Algorithms, Water Wave Optimum Algorithms)

说明：  对于蚁群算法做出的改进，按信息素大小进行排序(For the improvement of ant colony algorithm, it is sorted by pheromone size)

说明：  原始的最优化算法，用来求解最小值最大值，适合新手入门学习(fruit fly optimization)

说明：  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：  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：  蚁群算法求解TSP问题程序,代码简单明了，易于理解。(Ant colony algorithm for TSP)

一个实现多目标进化计算的数据集，用来测试不同的真实pareto前沿(A data set for multi-objective evolutionary computation to test different real Pareto Frontiers)