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SGALAB1003beta5005

  • Category : AI-NN-PR
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  • Update : 2012-11-26
  • Size : 14.03mb
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  • Author :zhi****
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Introduction - If you have any usage issues, please Google them yourself
This is a classic source of standard genetic algorithm can be carried out on this basis to improve and enhance
Packet file list
(Preview for download)
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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