文件名称:sga_pro
- 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:
- 2012-11-26
- 文件大小:
- 22kb
- 下载次数:
- 0次
- 提 供 者:
- 大*
- 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!
介绍说明--下载内容均来自于网络,请自行研究使用
一个非常好的遗传算法参考程序,可以优化带约束条件的函数.-a very good reference procedures genetic algorithm can be constrained optimization functions.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
Ver.1002 Sga_pro 2003.6.27[最大代数终止 或 适应度变化小于设定值终止 | 可解决带等式和不等式约束的问题] | |
...................................................................................................\best_binary_space.txt | ||
...................................................................................................\best_decimal_space.txt | ||
...................................................................................................\CODING.M | ||
...................................................................................................\convergence_method.txt | ||
...................................................................................................\crossover.m | ||
...................................................................................................\decimal_step.txt | ||
...................................................................................................\DECODING.M | ||
...................................................................................................\deta_fitness_max.txt | ||
...................................................................................................\deta_fitness_max_min.txt | ||
...................................................................................................\FITNESS.M | ||
...................................................................................................\fitness_function.m | ||
...................................................................................................\maxfitness.txt | ||
...................................................................................................\max_confines.txt | ||
...................................................................................................\max_generation.txt | ||
...................................................................................................\max_no_change_fitness_generation.txt | ||
...................................................................................................\max_no_change_probability_crossover_generation.txt | ||
...................................................................................................\max_probability_crossover.txt | ||
...................................................................................................\meanfitness.txt | ||
...................................................................................................\minfitness.txt | ||
...................................................................................................\min_confines.txt | ||
...................................................................................................\MUTATION.M | ||
...................................................................................................\now_generation.txt | ||
...................................................................................................\now_probability_crossover.txt | ||
...................................................................................................\population.txt | ||
...................................................................................................\probability_crossover.txt | ||
...................................................................................................\probability_crossover_step.txt | ||
...................................................................................................\probability_mutation.txt | ||
...................................................................................................\selection.m | ||
...................................................................................................\SGA_pro.m | ||
...................................................................................................\sga_pro_demo.m | ||
...................................................................................................\Subject_fitness.m | ||
...................................................................................................\subject_fitness_function.m | ||
...................................................................................................\Ver. 1.0.0.2 Readme.txt |