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!
下载
别用迅雷、360浏览器下载。
如迅雷强制弹出,可右键点击选“另存为”。
失败请重下,重下不扣分。
如迅雷强制弹出,可右键点击选“另存为”。
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.相关搜索: 遗传算法
遗传算法
matlab
遗传算法
优化
閬椾紶绠楁硶
sga_pro
GA
genetic
matlab
约束
遗传
遗传
算法
遗传算法
matlab
遗传算法
优化
閬椾紶绠楁硶
sga_pro
GA
genetic
matlab
约束
遗传
遗传
算法
(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 |