文件名称:GAIJINYICHUANSUANFA
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2013-11-21
- 文件大小：
- 31kb
- 下载次数：
- 0次
- 提 供 者：
- 张**
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
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改进遗传算法，使用时可根据具体情况修改数据-Improved genetic algorithm, when used to modify the data according to the specific circumstances
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下载文件列表
GAIJINYICHUANSUANFA
...................\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