MATLAB智能算法30个案例分析\chapter1 谢菲尔德大学的matlab遗传算法工具箱\example1.m

..........................\...........................................\example2.m

..........................\........0 基于粒子群算法的多目标搜索算法\data.mat

..........................\........................................\main.m

..........................\........1 基于多层编码遗传算法的车间调度算法\aberranceJm.m

..........................\............................................\across.m

..........................\............................................\cal.m

..........................\............................................\calP.m

..........................\............................................\caltime.m

..........................\............................................\Find.m

..........................\............................................\main.m

..........................\............................................\plotRec.m

..........................\............................................\ranking.M

..........................\............................................\REINS.M

..........................\............................................\RWS.M

..........................\............................................\scheduleData.mat

..........................\............................................\SELECT.M

..........................\............................................\selectJm.m

..........................\........2 免疫优化算法在物流配送中心选址中的应用\bestselect.m

..........................\................................................\centre.fig

..........................\................................................\concentration.m

..........................\................................................\Cross.m

..........................\................................................\draw.m

..........................\................................................\excellence.m

..........................\................................................\figure.fig

..........................\................................................\fitness.m

..........................\................................................\IAdata.mat

..........................\................................................\incorporate.m

..........................\................................................\main.m

..........................\................................................\Mutation.m

..........................\................................................\popinit.m

..........................\................................................\Select.m

..........................\................................................\similar.m

..........................\................................................\test.m

..........................\........3 粒子群算法的寻优算法\sample1\fun.m

..........................\..............................\.......\main.m

..........................\..............................\.......\MexicoHatnew.m

..........................\..............................\.......\PSO0.m

..........................\..............................\.......\PSO1.m

..........................\..............................\.......\PSO2.m

..........................\..............................\.......\PSO3.m

..........................\..............................\.......\PSO4.m

..........................\..............................\.......\wchange.m

..........................\..............................\......2-Rastrgrin\fun.m

..........................\..............................\.................\pso.fig

..........................\..............................\.................\PSO.m

..........................\..............................\.................\pso.mat

..........................\..............................\.................\rastrigrin.fig

..........................\..............................\.................\rastrigrin.m

..........................\..............................\......3-Griewank