文件名称:immune-genetic-algorithm-for-TSP
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采用matlab语言进行编程，运用遗传免疫算法，旨在解决TSP旅行商问题-Using matlab language programming, the use of genetic immune algorithm, to solve the traveling salesman problem TSP
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下载文件列表
58959898immune-genetic-algorithm-for-TSP
........................................\遗传免疫算法TSP
........................................\...............\GA
........................................\...............\..\CXCrossover.m
........................................\...............\..\Crossover.asv
........................................\...............\..\Crossover.m
........................................\...............\..\EXCrossover.asv
........................................\...............\..\EXCrossover.m
........................................\...............\..\Fitness.asv
........................................\...............\..\Fitness.m
........................................\...............\..\GATSP.asv
........................................\...............\..\GATSP.m
........................................\...............\..\Initialize.asv
........................................\...............\..\Initialize.m
........................................\...............\..\Mutation.m
........................................\...............\..\MutationReverse.m
........................................\...............\..\OXCrossover.asv
........................................\...............\..\OXCrossover.m
........................................\...............\..\Output.m
........................................\...............\..\Select.asv
........................................\...............\..\Select.m
........................................\...............\..\experiment.mat
........................................\...............\..\pathlong.m
........................................\...............\GrefenstetteGA
........................................\...............\..............\CrossOver.asv
........................................\...............\..............\CrossOver.m
........................................\...............\..............\Decode.asv
........................................\...............\..............\Decode.m
........................................\...............\..............\Fitness.asv
........................................\...............\..............\Fitness.m
........................................\...............\..............\GAGrefenstette.asv
........................................\...............\..............\GAGrefenstette.m
........................................\...............\..............\GTrans.asv
........................................\...............\..............\GTrans.m
........................................\...............\..............\Initialize.asv
........................................\...............\..............\Initialize.m
........................................\...............\..............\Mutation.asv
........................................\...............\..............\Mutation.m
........................................\...............\..............\Output.m
........................................\...............\..............\Select.asv
........................................\...............\..............\Select.m
........................................\...............\..............\matlab.mat
........................................\...............\..............\pathlong.m
........................................\...............\IA
........................................\...............\..\基于信息熵的免疫算法
........................................\...............\..\....................\CXCrossover.m
........................................\...............\..\....................\CalculateSelectP.asv
........................................\...............\..\....................\CalculateSelectP.m
........................................\...............\..\....................\Crossover.m
........................................\...............\..\....................\EXCrossover.m
........................................\...............\..\....................\Fitness.m
........................................\...............\..\....................\GGenerateNewpath.