文件名称:SGA
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- 上传时间:2008-10-13
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文件大小:19.96kb
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已下载:0次
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介绍说明--下载内容来自于网络,使用问题请自行百度
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/
Sga_pro1002/best_binary_space.txt
Sga_pro1002/best_decimal_space.txt
Sga_pro1002/CODING.M
Sga_pro1002/convergence_method.txt
Sga_pro1002/crossover.m
Sga_pro1002/decimal_step.txt
Sga_pro1002/DECODING.M
Sga_pro1002/deta_fitness_max.txt
Sga_pro1002/deta_fitness_max_min.txt
Sga_pro1002/FITNESS.M
Sga_pro1002/fitness_function.m
Sga_pro1002/maxfitness.txt
Sga_pro1002/max_confines.txt
Sga_pro1002/max_generation.txt
Sga_pro1002/max_no_change_fitness_generation.txt
Sga_pro1002/max_no_change_probability_crossover_generation.txt
Sga_pro1002/max_probability_crossover.txt
Sga_pro1002/meanfitness.txt
Sga_pro1002/minfitness.txt
Sga_pro1002/min_confines.txt
Sga_pro1002/MUTATION.M
Sga_pro1002/now_generation.txt
Sga_pro1002/now_probability_crossover.txt
Sga_pro1002/population.txt
Sga_pro1002/probability_crossover.txt
Sga_pro1002/probability_crossover_step.txt
Sga_pro1002/probability_mutation.txt
Sga_pro1002/Readme_Chinese.txt
Sga_pro1002/Readme_English.txt
Sga_pro1002/selection.m
Sga_pro1002/SGA_pro.m
Sga_pro1002/sga_pro_demo.m
Sga_pro1002/Subject_fitness.m
Sga_pro1002/subject_fitness_function.m
Sga_pro1002/best_binary_space.txt
Sga_pro1002/best_decimal_space.txt
Sga_pro1002/CODING.M
Sga_pro1002/convergence_method.txt
Sga_pro1002/crossover.m
Sga_pro1002/decimal_step.txt
Sga_pro1002/DECODING.M
Sga_pro1002/deta_fitness_max.txt
Sga_pro1002/deta_fitness_max_min.txt
Sga_pro1002/FITNESS.M
Sga_pro1002/fitness_function.m
Sga_pro1002/maxfitness.txt
Sga_pro1002/max_confines.txt
Sga_pro1002/max_generation.txt
Sga_pro1002/max_no_change_fitness_generation.txt
Sga_pro1002/max_no_change_probability_crossover_generation.txt
Sga_pro1002/max_probability_crossover.txt
Sga_pro1002/meanfitness.txt
Sga_pro1002/minfitness.txt
Sga_pro1002/min_confines.txt
Sga_pro1002/MUTATION.M
Sga_pro1002/now_generation.txt
Sga_pro1002/now_probability_crossover.txt
Sga_pro1002/population.txt
Sga_pro1002/probability_crossover.txt
Sga_pro1002/probability_crossover_step.txt
Sga_pro1002/probability_mutation.txt
Sga_pro1002/Readme_Chinese.txt
Sga_pro1002/Readme_English.txt
Sga_pro1002/selection.m
Sga_pro1002/SGA_pro.m
Sga_pro1002/sga_pro_demo.m
Sga_pro1002/Subject_fitness.m
Sga_pro1002/subject_fitness_function.m
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