文件名称:matlab-resource

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  • [Matlab] [源码]
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  • 2013-01-12
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  • 1.47mb
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  • zheng******
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基于旅行商问题的蚁群算法优化,对于蚁群算法初学者很有帮助!-Optimization, ant colony algorithm based on the traveling salesman problem for the ant colony algorithm beginners helpful!
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MATLAB智能算法30个案例分析 源代码\MATLAB智能算法30个案例分析 源代码\chapter1.rar

.................................\.................................\chapter10.rar

.................................\.................................\chapter11.rar

.................................\.................................\chapter12.rar

.................................\.................................\chapter13.rar

.................................\.................................\chapter14.rar

.................................\.................................\chapter15.rar

.................................\.................................\chapter16.rar

.................................\.................................\chapter17.rar

.................................\.................................\chapter18.rar

.................................\.................................\chapter19.rar

.................................\.................................\.......2\chapter2\案例1\Code.m

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

.................................\.................................\........\........\.....\fun.m

.................................\.................................\........\........\.....\Genetic.asv

.................................\.................................\........\........\.....\Genetic.m

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

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

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

.................................\.................................\........\........\.....非线性\Code.m

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

.................................\.................................\........\........\...........\fun.m

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

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

.................................\.................................\........\........\...........\nonlinear.m

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

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

.................................\.................................\........\........\....2\Code.m

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

.................................\.................................\........\........\.....\fun.m

.................................\.................................\........\........\.....\Genetic.m

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

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

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

.................................\.................................\........\........\.....非线性\Code.m

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

.................................\.................................\........\........\...........\fun.m

.................................\.................................\........\........\...........\Genetic.asv

.................................\.................................\........\........\...........\Genetic.m

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

.................................\.................................\........\........\...........\nonlinear.m

.................................\.................................\........\...

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