GA

基于CEC——2017benchmark测试集，计算最优 修正的果蝇算法，弥补原始果蝇算法在负数集上的缺失(modify fruit fly optimization)

说明：  用matlab实现levy概率分布，并作图，用于进化算法中调整步长(Using MATLAB to realize levy probability distribution and make a map for adjusting step size in evolutionary algorithm)

说明：  用MATLAB编写测试函数的五种PSO改进算法(Five PSO improved algorithms with test functions written in MATLAB)

说明：  根据Degree Centrality、Co-Expression Weighted by clustering Coefficient、Betweenness Centrality、PeC等六种参数的计算来寻找关键蛋白质(Find the key proteins according to the calculation of Degree Centrality, Co-Expression Weighted by clustering Coefficient, Betweenness Centrality, PeC and other six parameters.)

粒子群算法的寻优机制，另附十余个测试函数。主程序为test_basic(Particle Optimization Algorithm)

matlab实现蝙蝠优化(BA)算法，用于最优化计算(Bat optimization (BA) algorithm implemented by MATLAB for optimization calculation)

说明：  NSGA-III evolutionary algorithm using MATLAB

说明：  单目标带约束的随机漫步灰狼算法带初始化源代码(Single target grey wolf algorithm with constraint random walk source code)

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)

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