蚁群

说明：  CEC2017前几名的MATLAB算法实现 有EBOwithCMAR; jSO; LSHADE_SPACMA; LSHADE-cnEpSin 各种参数都可以调整，包括种群数量、F因子、变异率、交叉率等(The realization of MATLAB algorithm for the top few of cec217. There are ebowithcmar; JSO; lshade_spacma; lshade cnepsin. Various parameters can be adjusted, including population number, F factor, mutation rate, crossover rate, etc.)

采用改进的遗传算法，对柔性车间调度问题进行求解(Solving flexible shop scheduling problem with improved genetic algorithm)

用蚁群算法来解决TSP问题的matlab代码，用的蚁周模型，参数为实验选择的最优参数(Ant arithmetic and TSP problem)

说明：  蜻蜓算法，详细，可运行，对蜻蜓的运动进行描述(Dragonfly algorithm, detailed, operational)

在蚁群算法的基础上进行改进，使优化效果更加明显(On the basis of ant colony algorithm, the optimization effect is more obvious.)

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)

基于遗传算法的LQR控制器优化设计，二自由度振动系统(Optimal design of LQR controller based on genetic algorithm and two degree of freedom vibration system)

求解多目标问题，业内最经典的多目标算法之一(to solve multi-object problem)

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

说明：  在蚁群算法的基础上进行改进，使优化效果更加明显(On the basis of ant colony algorithm, the optimization effect is more obvious.)