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基于遗传算法和非线性规划的算法matlab源码-Based on genetic algorithms and non-linear programming algorithm matlab source
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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
..............................................\........\.....\fun.m
..............................................\........\.....\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
..............................................\........\...........\Select.m
..............................................\........\...........\test.m
..............................................\........\....3\Code.m
..............................................\........\.....\Cross.m
..............................................\........\.....\fun.m
..............................................\........\.....\Genetic.m
..............................................\........\.....\Mutation.m
..............................................\........\.....\Select.m
..............................................\........\.....\test.m
..............................................\........\.....非线性\Code.m
..............................................\........\...........\Cross.m
..............................................\........\...........\fun.m
..............................................\........\...........\Genetic.m
..............................................\........\...........\Mutation.m
..............................................\........\...........\nonlinear.m
..............................................\........\...........\Select.m
..............................................\........\...........\test.m
..............................................\........\案例1
..............................................\........\案例1非线性
..............................................\........\案例2
..............................................\........\案例2非线性
..............................................\........\案例3
..............................................\........\案例3非线性
..............................................\chapter2
chapter2基于遗传算法和非线性规划的函数寻优算法