文件名称:SGALAB1003beta5005

介绍说明--下载内容均来自于网络,请自行研究使用

这是一个经典的遗传算法标准源程序,可以在此基础上进行改进和提高-This is a classic source of standard genetic algorithm can be carried out on this basis to improve and enhance
相关搜索: genetic
改进
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

SGALAB1003beta5005

..................\doc

..................\...\season's whisper.pdf

..................\...\SGALAB_CEC2007_MMETpayloadtransfer.pdf

..................\...\SGALAB_FAQ_Genetic Algorithms Brief.pdf

..................\...\SGALAB_FAQ_QuickStart_1.pdf

..................\...\SGALAB_FAQ_QuickStart_2.pdf

..................\...\SGALAB_FAQ_SxLABFamily.pdf

..................\...\SGALAB_FAQ_User's Guide.pdf

..................\...\SGALAB_GTS_SemiactiveSuspension.pdf

..................\figs

..................\....\SGA__fitness_2obj_MOGA.eps



..................\....\SGA__fitness_2obj_NPGA.eps



..................\....\SGA__fitness_2obj_NSGA.eps



..................\....\SGA__fitness_2obj_NSGAII.eps



..................\....\SGA__fitness_2obj_VEGA.eps



..................\....\SGA__fitness_obj.eps

..................\....\SGA__fitness_obj.jpg

..................\INPUT_convergence_method.txt

..................\INPUT_deta_fitness_max.txt

..................\INPUT_MATRIX_A.txt

..................\INPUT_MATRIX_B.txt

..................\INPUT_MATRIX_C.txt

..................\INPUT_MATRIX_max_confines.txt

..................\INPUT_MATRIX_min_confines.txt

..................\INPUT_MATRIX_steps.txt

..................\INPUT_max_confines.txt

..................\INPUT_max_generation.txt

..................\INPUT_max_no_change_fitness_generation.txt

..................\INPUT_max_no_change_probability_crossover_generation.txt

..................\INPUT_max_probability_crossover.txt

..................\INPUT_mendel_number_percent.txt

..................\INPUT_min_confines.txt

..................\INPUT_muGA_cycle.txt

..................\INPUT_muGA_exchangeable_number.txt

..................\INPUT_muGA_population_internal_number.txt

..................\INPUT_muGA_population_replaceable_number.txt

..................\INPUT_population.txt

..................\INPUT_probability_crossover.txt

..................\INPUT_probability_crossover_step.txt

..................\INPUT_probability_mutation.txt

..................\INPUT_steps.txt

..................\INPUT_TSP_city_number.txt

..................\INPUT_TSP_cost_matrix.txt

..................\INPUT_TSP_start_city_number.txt

..................\list_current_dir_files.p

..................\lplot.p

..................\OUTPUT_bestfitness.txt

..................\OUTPUT_best_coding_space.txt

..................\OUTPUT_best_result_space.txt

..................\OUTPUT_maxfitness.txt

..................\OUTPUT_meanfitness.txt

..................\OUTPUT_minfitness.txt

..................\OUTPUT_now_generation.txt

..................\OUTPUT_now_probability_crossover.txt

..................\plotyyy.p

..................\SGALAB_demo_MO_MOGA.m

..................\SGALAB_demo_MO_MOGA_mendel.m

..................\SGALAB_demo_MO_muGA.m

..................\SGALAB_demo_MO_muGA_Mendel.m

..................\SGALAB_demo_MO_NPGA.m

..................\SGALAB_demo_MO_NSGA.m

..................\SGALAB_demo_MO_NSGAII.m

..................\SGALAB_demo_MO_showall.m

..................\SGALAB_demo_MO_VEGA.m

..................\SGALAB_demo_single_objective.m

..................\SGALAB_demo_single_objective_mendel.m

..................\SGALAB_demo_single_objective_muGA.m

..................\SGALAB_demo_TSP_13cities.m

..................\SGALAB_output_info.p

..................\SGALAB_status_info.p

..................\SGALAB_version.p

..................\SGA_about.p

..................\SGA_audio_record.p

..................\SGA_autotest_all.p

..................\SGA_autotest_MO.p

..................\SGA_benchmark_funcs.p

..................\SGA_CONSFUNC_evaluating.p

..................\SGA_CONSFUNC_function.p

..................\SGA_crossover.p

..................\SGA_cut.p

..................\SGA_decoding.p

..................\SGA_DNA_WatsonCrick_morphism.p

..................\SGA_elitism.p

..................\SGA_encoding.p

..................\SGA_entry_MO_Goal_Attainment_fitness.p

..................\SGA_entry_MO_NON_Pareto_VEGA.p

..................\SGA_entry_MO_Pareto_MOGA.p

..................\SGA_entry_MO_Pareto_MOGA_mendel.p

..................\SGA_entry_MO_Pareto_MPANN.p

..................

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