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Location : Home Downloads SourceCode Mathimatics-Numerical algorithms AI-NN-PR
  • Category : AI-NN-PR
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  • Update : 2012-11-26
  • Size : 22kb
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  • Author :大侠
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Introduction - If you have any usage issues, please Google them yourself
a very good reference procedures genetic algorithm can be constrained optimization functions.
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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
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