文件名称:A-function-optimization-algorithm
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一种基于遗传算法和非线性规划的函数寻优算法，一共6个案例及源代码-A method based on genetic algorithm and nonlinear programming optimization algorithm, a total of 6 cases and source code
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2基于遗传算法和非线性规划的函数寻优算法
.......................................\案例1
.......................................\.....\Code.m
.......................................\.....\Cross.m
.......................................\.....\fun.m
.......................................\.....\Genetic.asv
.......................................\.....\Genetic.m
.......................................\.....\Mutation.m
.......................................\.....\Select.m
.......................................\.....\test.m
.......................................\案例1非线性
.......................................\...........\Code.m
.......................................\...........\Cross.m
.......................................\...........\fun.m
.......................................\...........\main.m
.......................................\...........\Mutation.m
.......................................\...........\nonlinear.m
.......................................\...........\Select.m
.......................................\...........\test.m
.......................................\案例2
.......................................\.....\Code.m
.......................................\.....\Cross.m
.......................................\.....\fun.m
.......................................\.....\Genetic.m
.......................................\.....\Mutation.m
.......................................\.....\Select.m
.......................................\.....\test.m
.......................................\案例2非线性
.......................................\...........\Code.m
.......................................\...........\Cross.m
.......................................\...........\fun.m
.......................................\...........\Genetic.asv
.......................................\...........\Genetic.m
.......................................\...........\Mutation.m
.......................................\...........\nonlinear.m
.......................................\...........\Select.m
.......................................\...........\test.m
.......................................\案例3
.......................................\.....\Code.m
.......................................\.....\Cross.m
.......................................\.....\fun.m
.......................................\.....\Genetic.m
.......................................\.....\Mutation.m
.......................................\.....\Select.m
.......................................\.....\test.m
.......................................\案例3非线性
.......................................\...........\Code.m
.......................................\...........\Cross.m
.......................................\...........\fun.m
.......................................\...........\Genetic.m
.......................................\...........\Mutation.m
.......................................\...........\nonlinear.m
.......................................\...........\Select.m
.......................................\...........\test.m