ABC

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)

竞争群算法（CSO）的matlab实现。(The Matlab Source code of the Competitive Swarm Optimizer (CSO))

说明：  阿里天池最后一公里所采用的数据集： 网点数据集、配送点、商户、快递信息、配送路径表、配送人员(Data sets adopted for the last kilometer of alitanchi: Network data set, distribution points, merchants, express delivery information, distribution path table, distribution personnel)

说明：  包含人群搜索算法源程序，和rastrigin、Schaffer和Spher三个函数的优化，并与PSO比较(Including the source program of crowd search algorithm, and the optimization of rastrigin, Schaffer and Sphere functions, and comparing with PSO)

标准萤火虫算法,程序运行稳定，可以自测！！！！！！！(Standard firefly algorithm, the program runs stably and can be self-tested! ! ! ! ! ! !)

基于变异策略的改进型花朵授粉算法，里边集成了粒子群算法、蝙蝠算法以及定向变异策略，进行对比(An improved flower pollination algorithm based on mutation strategy, which integrates particle swarm optimization, bat algorithm and directional mutation strategy, is compared.)

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)

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)

通过群算法（BSO和CSO），实现寻优的功能。(Through group algorithm (BSO and CSO), the optimization function is realized.)

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)