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Title: genetic--nonlinear-programming-- Download
 Description: Based on genetic algorithms and nonlinear programming algorithm for function optimization
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chapter2基于遗传算法和非线性规划的函数寻优算法
..............................................\chapter2
..............................................\........\案例1
..............................................\........\.....\Code.m
..............................................\........\.....\Cross.m
..............................................\........\.....\Genetic.asv
..............................................\........\.....\Genetic.m
..............................................\........\.....\Mutation.m
..............................................\........\.....\Select.m
..............................................\........\.....\fun.m
..............................................\........\.....\test.m
..............................................\........\案例1非线性
..............................................\........\...........\Code.m
..............................................\........\...........\Cross.m
..............................................\........\...........\Mutation.m
..............................................\........\...........\Select.m
..............................................\........\...........\fun.m
..............................................\........\...........\main.m
..............................................\........\...........\nonlinear.m
..............................................\........\...........\test.m
..............................................\........\案例2
..............................................\........\.....\Code.m
..............................................\........\.....\Cross.m
..............................................\........\.....\Genetic.m
..............................................\........\.....\Mutation.m
..............................................\........\.....\Select.m
..............................................\........\.....\fun.m
..............................................\........\.....\test.m
..............................................\........\案例2非线性
..............................................\........\...........\Code.m
..............................................\........\...........\Cross.m
..............................................\........\...........\Genetic.asv
..............................................\........\...........\Genetic.m
..............................................\........\...........\Mutation.m
..............................................\........\...........\Select.m
..............................................\........\...........\fun.m
..............................................\........\...........\nonlinear.m
..............................................\........\...........\test.m
..............................................\........\案例3
..............................................\........\.....\Code.m
..............................................\........\.....\Cross.m
..............................................\........\.....\Genetic.m
..............................................\........\.....\Mutation.m
..............................................\........\.....\Select.m
..............................................\........\.....\fun.m
..............................................\........\.....\test.m
..............................................\........\案例3非线性
..............................................\........\...........\Code.m
..............................................\........\...........\Cross.m
..............................................\........\...........\Genetic.m
..............................................\........\...........\Mutation.m
..............................................\........\...........\Select.m
..............................................\........\...........\fun.m
..............................................\........\...........\nonlinear.m
..............................................\........\...........\test.m
    

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