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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
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