文件名称:SGA
- 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:
- 20kb
- 下载次数:
- 0次
- 提 供 者:
- 江*
- 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
遗传算法中的简单遗传算法,用matlab实现。-genetic algorithm simple genetic algorithm, using Matlab to achieve.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Sga_pro1002
...........\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
...........\Readme_Chinese.txt
...........\Readme_English.txt
...........\selection.m
...........\SGA_pro.m
...........\sga_pro_demo.m
...........\Subject_fitness.m
...........\subject_fitness_function.m
...........\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
...........\Readme_Chinese.txt
...........\Readme_English.txt
...........\selection.m
...........\SGA_pro.m
...........\sga_pro_demo.m
...........\Subject_fitness.m
...........\subject_fitness_function.m