SGALAB 1003 Beta 5.0.0.7(Micro-GA/Mendel's Law Operator with ParetoFront )

Genetic Algorithms Toolbox for Multi-Objective Problems with Fuzzy Logic Controller Application

Description

SGALAB 1003 Beta 5.0.0.7

1) Fix SGA_FITNESS_MO_evaluating() error report -- urgent PR
2) update 2DOF semi-active suspension system modelling in 2DOF_suspension_modelling.jpg
3) add figures in \figs

SGALAB 1003 Beta 5.0.0.6

1) Add Fuzzy logic control rule-base rotation function
2) update SGALAB_FAQ_QuickStart_2.pdf
3) add Lyapunov function

SGALAB 1003 Beta 5.0.0.5

1) Add Micro-GA (muGA) method for Single Objective and Multi-Objective Problem
2) Add Mendel Operator for Single Objective and Multi-Objective Problem
3) add SGALAB_FAQ_QuickStart_2.pdf
4) update SGALAB_FAQ_Genetic Algorithms Brief.pdf

SGALAB 1003 Beta 5.0.0.4

1) Fix SGALAB_demo_TSP_13cities - urgent PR
Variable '1./fitness_plot_max' not found error
2) Fix save figures error - urgent PR

SGALAB 1003 Beta 5.0.0.3
1) Fix SGALAB_demo_MO_showall running errors
2) Fix SGA__suspension figure bugs
3) Add multi-axes plots in one figure
4) Add SGALAB_FAQ_Genetic Algorithms Brief
5) Add SGALAB_GTS_SemiactiveSuspension

SGALAB 1003 Beta 5.0.0.2
1) Update SGALAB_FAQ_User's Guide.pdf
2)to fix PR of plot pareto front,
SGA__pareto_plot_2D
SGA__pareto_replot_2D_MOGA
SGA__pareto_replot_2D_NPGA
SGA__pareto_replot_2D_NSGA
SGA__pareto_replot_2D_NSGAII

SGALAB 1003 Beta 5.0.0.1
1) Update SGALAB_FAQ_WhatisGAs.pdf
2) Update SGALAB_FAQ_User's Guide.pdf
3) Add SGALAB_FAQ_QuickStart.pdf
4) Addpassive suspension model of FLC and skyhook,
  and GA+FLC and GA+Skyhook control will be avialable in SGALAB 1003 Beta 6

SGALAB 1003 Beta 5
1) NSGA-II ( SGALAB_demo_MO_NSGAII.m )

2) Pareto front plot & show all Multi-Object Methods in SGALAB
 ( SGALAB_demo_MO_showall.m )

3) documents updated

4) plot bugs fixed for VEGA,MOGA,NSGA,NPGA

Run 'SGALAB_demo_*.m' to see the demos, and to modify the 'SGALAB_demo_*.m' as your main function for your applications

• Acknowledgements: This submission has inspired the following:; SERALAB(Demo)- Simple eigensystem realization algorithm Lab, 2,4,7 DOFs Suspension Model for Simulink, SMATLINK - Let Matlab Dance with Mathematica, Fuzzy Controller of Semi-active control for 1/4 Suspension System, Semi-active Control of Skyhook for 1/4 Suspension System
• Required Products: Communications Blockset
• MATLAB release: MATLAB 7 (R14)
• Other requirements: Win32

Other Files

SGALAB1003beta5007_currency/data/currency_data_2_currencies.xls,
SGALAB1003beta5007_currency/doc/season's whisper.pdf,
SGALAB1003beta5007_currency/doc/SGALAB_CEC2007_MMETpayloadtransfer.pdf,
SGALAB1003beta5007_currency/doc/SGALAB_FAQ_Genetic Algorithms Brief.pdf,
SGALAB1003beta5007_currency/doc/SGALAB_FAQ_QuickStart_1.pdf,
SGALAB1003beta5007_currency/doc/SGALAB_FAQ_QuickStart_2.pdf,
SGALAB1003beta5007_currency/doc/SGALAB_FAQ_SxLABFamily.pdf,
SGALAB1003beta5007_currency/doc/SGALAB_FAQ_User's Guide.pdf,
SGALAB1003beta5007_currency/doc/SGALAB_GTS_SemiactiveSuspension.pdf,
SGALAB1003beta5007_currency/figs/2obj_MOGA.jpg,
SGALAB1003beta5007_currency/figs/2obj_NPGA.jpg,
SGALAB1003beta5007_currency/figs/2obj_NSGA.jpg,
SGALAB1003beta5007_currency/figs/2obj_NSGAII.jpg,
SGALAB1003beta5007_currency/figs/f1_f2_AllMO.jpg,
SGALAB1003beta5007_currency/figs/f1_f2_f3_MOGA.jpg,
SGALAB1003beta5007_currency/figs/f1_f2_f3_NPGA.jpg,
SGALAB1003beta5007_currency/figs/f1_f2_f3_NSGA.jpg,
SGALAB1003beta5007_currency/figs/f1_f2_f3_NSGAII.jpg,
SGALAB1003beta5007_currency/figs/f1_f2_MOGA.jpg,
SGALAB1003beta5007_currency/figs/f1_f3_AllMO.jpg,
SGALAB1003beta5007_currency/figs/f1_f3_MOGA.jpg,
SGALAB1003beta5007_currency/figs/f1_gen.jpg,
SGALAB1003beta5007_currency/figs/f2_f3_AllMO.jpg,
SGALAB1003beta5007_currency/figs/f2_f3_MOGA.jpg,
SGALAB1003beta5007_currency/figs/f2_gen.jpg,
SGALAB1003beta5007_currency/figs/f3_gen.jpg,
SGALAB1003beta5007_currency/figs/SGA__fitness_2obj_MOGA.eps,
SGALAB1003beta5007_currency/figs/SGA__fitness_2obj_MOGA.jpg,
SGALAB1003beta5007_currency/figs/SGA__fitness_2obj_NPGA.eps,
SGALAB1003beta5007_currency/figs/SGA__fitness_2obj_NPGA.jpg,
SGALAB1003beta5007_currency/figs/SGA__fitness_2obj_NSGA.eps,
SGALAB1003beta5007_currency/figs/SGA__fitness_2obj_NSGA.jpg,
SGALAB1003beta5007_currency/figs/SGA__fitness_2obj_NSGAII.eps,
SGALAB1003beta5007_currency/figs/SGA__fitness_2obj_NSGAII.jpg,
SGALAB1003beta5007_currency/figs/SGA__fitness_2obj_VEGA.eps,
SGALAB1003beta5007_currency/figs/SGA__fitness_2obj_VEGA.jpg,
SGALAB1003beta5007_currency/figs/SGA__fitness_obj.eps,
SGALAB1003beta5007_currency/figs/SGA__fitness_obj.jpg,
SGALAB1003beta5007_currency/INPUT_convergence_method.txt,
SGALAB1003beta5007_currency/INPUT_deta_fitness_max.txt,
SGALAB1003beta5007_currency/INPUT_MATRIX_A.txt,
SGALAB1003beta5007_currency/INPUT_MATRIX_B.txt,
SGALAB1003beta5007_currency/INPUT_MATRIX_C.txt,
SGALAB1003beta5007_currency/INPUT_MATRIX_max_confines.txt,
SGALAB1003beta5007_currency/INPUT_MATRIX_min_confines.txt,
SGALAB1003beta5007_currency/INPUT_MATRIX_steps.txt,
SGALAB1003beta5007_currency/INPUT_max_confines.txt,
SGALAB1003beta5007_currency/INPUT_max_generation.txt,
SGALAB1003beta5007_currency/INPUT_max_no_change_fitness_generation.txt,
SGALAB1003beta5007_currency/INPUT_max_no_change_probability_crossover_generation.txt,
SGALAB1003beta5007_currency/INPUT_max_probability_crossover.txt,
SGALAB1003beta5007_currency/INPUT_mendel_number_percent.txt,
SGALAB1003beta5007_currency/INPUT_min_confines.txt,
SGALAB1003beta5007_currency/INPUT_muGA_cycle.txt,
SGALAB1003beta5007_currency/INPUT_muGA_exchangeable_number.txt,
SGALAB1003beta5007_currency/INPUT_muGA_population_internal_number.txt,
SGALAB1003beta5007_currency/INPUT_muGA_population_replaceable_number.txt,
SGALAB1003beta5007_currency/INPUT_population.txt,
SGALAB1003beta5007_currency/INPUT_probability_crossover.txt,
SGALAB1003beta5007_currency/INPUT_probability_crossover_step.txt,
SGALAB1003beta5007_currency/INPUT_probability_mutation.txt,
SGALAB1003beta5007_currency/INPUT_steps.txt,
SGALAB1003beta5007_currency/INPUT_TSP_city_number.txt,
SGALAB1003beta5007_currency/INPUT_TSP_cost_matrix.txt,
SGALAB1003beta5007_currency/INPUT_TSP_start_city_number.txt,
SGALAB1003beta5007_currency/list_current_dir_files.p,
SGALAB1003beta5007_currency/lplot.p,
SGALAB1003beta5007_currency/OUTPUT_best_coding_space.txt,
SGALAB1003beta5007_currency/OUTPUT_best_result_space.txt,
SGALAB1003beta5007_currency/OUTPUT_bestfitness.txt,
SGALAB1003beta5007_currency/OUTPUT_maxfitness.txt,
SGALAB1003beta5007_currency/OUTPUT_meanfitness.txt,
SGALAB1003beta5007_currency/OUTPUT_minfitness.txt,
SGALAB1003beta5007_currency/OUTPUT_now_generation.txt,
SGALAB1003beta5007_currency/OUTPUT_now_probability_crossover.txt,
SGALAB1003beta5007_currency/plotyyy.p,
SGALAB1003beta5007_currency/SGA__array_to_matrix.p,
SGALAB1003beta5007_currency/SGA__check_tsp_cost_matrix.p,
SGALAB1003beta5007_currency/SGA__crossover_binary_singlepoint.p,
SGALAB1003beta5007_currency/SGA__crossover_real_int_singlepoint.p,
SGALAB1003beta5007_currency/SGA__crowded_comparision.p,
SGALAB1003beta5007_currency/SGA__decoding_binary.p,
SGALAB1003beta5007_currency/SGA__decoding_DNA_indirect.p,
SGALAB1003beta5007_currency/SGA__decoding_gray.p,
SGALAB1003beta5007_currency/SGA__decoding_int.p,
SGALAB1003beta5007_currency/SGA__decoding_real.p,
SGALAB1003beta5007_currency/SGA__delete_NaN.p,
SGALAB1003beta5007_currency/SGA__delete_same_segment.p,
SGALAB1003beta5007_currency/SGA__encoding_binary.p,
SGALAB1003beta5007_currency/SGA__encoding_binary_manually.p,
SGALAB1003beta5007_currency/SGA__encoding_binary_uniformly.p,
SGALAB1003beta5007_currency/SGA__encoding_DNA_direct.p,
SGALAB1003beta5007_currency/SGA__encoding_DNA_generate_complementary_pair.p,
SGALAB1003beta5007_currency/SGA__encoding_DNA_indirect.p,
SGALAB1003beta5007_currency/SGA__encoding_gray.p,
SGALAB1003beta5007_currency/SGA__encoding_int_uniformly.p,
SGALAB1003beta5007_currency/SGA__encoding_messy.p,
SGALAB1003beta5007_currency/SGA__encoding_permutation.p,
SGALAB1003beta5007_currency/SGA__encoding_real_uniformly.p,
SGALAB1003beta5007_currency/SGA__encoding_RNA_direct.p,
SGALAB1003beta5007_currency/SGA__fast_nondominated_sort.p,
SGALAB1003beta5007_currency/SGA__fitness_generation_MO_replot_all.p,
SGALAB1003beta5007_currency/SGA__fitness_generation_replot_MOGA.p,
SGALAB1003beta5007_currency/SGA__fitness_generation_replot_NPGA.p,
SGALAB1003beta5007_currency/SGA__fitness_generation_replot_NSGA.p,
SGALAB1003beta5007_currency/SGA__fitness_generation_replot_NSGAII.p,
SGALAB1003beta5007_currency/SGA__FLC_MF_rbf.p,
SGALAB1003beta5007_currency/SGA__FLC_MF_rbf_replot.p,
SGALAB1003beta5007_currency/SGA__generate_probability_range.p,
SGALAB1003beta5007_currency/SGA__get_distance_combined.p,
SGALAB1003beta5007_currency/SGA__get_distance_crowding_fitness_assignment.p,
SGALAB1003beta5007_currency/SGA__get_distance_hamming.p,
SGALAB1003beta5007_currency/SGA__get_distance_phenotypic.p,
SGALAB1003beta5007_currency/SGA__get_edges.p,
SGALAB1003beta5007_currency/SGA__get_edges_from_array.p,
SGALAB1003beta5007_currency/SGA__get_element_max_number.p,
SGALAB1003beta5007_currency/SGA__get_fast_nondominated_sort.p,
SGALAB1003beta5007_currency/SGA__get_max_number_of_row.p,
SGALAB1003beta5007_currency/SGA__howmany.p,
SGALAB1003beta5007_currency/SGA__howmany_diff_element.p,
SGALAB1003beta5007_currency/SGA__howmany_NaN_array.p,
SGALAB1003beta5007_currency/SGA__is_same_element_set_NaN.p,
SGALAB1003beta5007_currency/SGA__is_same_to_array_element.p,
SGALAB1003beta5007_currency/SGA__is_same_to_array_member_set_NaN.p,
SGALAB1003beta5007_currency/SGA__is_same_to_array_other_element.p,
SGALAB1003beta5007_currency/SGA__keep_segment.p,
SGALAB1003beta5007_currency/SGA__math_MAX_fitness.mat,
SGALAB1003beta5007_currency/SGA__math_MEAN_fitness.mat,
SGALAB1003beta5007_currency/SGA__math_MIN_fitness.mat,
SGALAB1003beta5007_currency/SGA__max2min_rank_location.p,
SGALAB1003beta5007_currency/SGA__mem_monitor.p,
SGALAB1003beta5007_currency/SGA__mendel_DHR_initial.p,
SGALAB1003beta5007_currency/SGA__mendel_punnett_square.p,
SGALAB1003beta5007_currency/SGA__merge_matrix.p,
SGALAB1003beta5007_currency/SGA__microga_memory_handler.p,
SGALAB1003beta5007_currency/SGA__microga_population_internal_generation.p,
SGALAB1003beta5007_currency/SGA__microga_population_internal_generation_MO.p,
SGALAB1003beta5007_currency/SGA__microga_population_internal_generation_SO.p,
SGALAB1003beta5007_currency/SGA__microga_population_internal_update.p,
SGALAB1003beta5007_currency/SGA__min2max_rank_location.p,
SGALAB1003beta5007_currency/SGA__MO_AGG_EC_fitness.p,
SGALAB1003beta5007_currency/SGA__MO_AGG_GP_fitness.p,
SGALAB1003beta5007_currency/SGA__MO_AGG_SWO_fitness.p,
SGALAB1003beta5007_currency/SGA__MO_NON_Pareto_VEGA_check_population.p,
SGALAB1003beta5007_currency/SGA__MO_NON_Pareto_VEGA_divide_population_by_objects.p,
SGALAB1003beta5007_currency/SGA__mutation_binary_singlepoint.p,
SGALAB1003beta5007_currency/SGA__mutation_real_int_random_singlepoint.p,
SGALAB1003beta5007_currency/SGA__NON_Pareto_VEGA_MAX_fitness.mat,
SGALAB1003beta5007_currency/SGA__NON_Pareto_VEGA_MEAN_fitness.mat,
SGALAB1003beta5007_currency/SGA__NON_Pareto_VEGA_MIN_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_MOGA_fitness_data1.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_MOGA_fitness_data2.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_MOGA_MAX_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_MOGA_MAX_Generation_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_MOGA_MEAN_Generation_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_MOGA_MIN_Generation_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_NPGA_fitness_data1.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_NPGA_fitness_data2.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_NPGA_MAX_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_NPGA_MAX_Generation_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_NPGA_MEAN_Generation_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_NPGA_MIN_Generation_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_NSGA_fitness_data1.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_NSGA_fitness_data2.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_NSGA_MAX_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_NSGA_MAX_Generation_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_NSGA_MEAN_Generation_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_NSGA_MIN_Generation_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_NSGAII_fitness_data1.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_NSGAII_fitness_data2.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_NSGAII_MAX_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_NSGAII_MAX_Generation_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_NSGAII_MEAN_Generation_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_front_NSGAII_MIN_Generation_fitness.mat,
SGALAB1003beta5007_currency/SGA__pareto_get_fronts.p,
SGALAB1003beta5007_currency/SGA__Pareto_MOGA_MAX_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_MOGA_MEAN_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_MOGA_MIN_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_NPGA_MAX_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_NPGA_MEAN_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_NPGA_MIN_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_NSGA_MAX_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_NSGA_MEAN_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_NSGA_MIN_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_NSGAII_MAX_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_NSGAII_MEAN_fitness.mat,
SGALAB1003beta5007_currency/SGA__Pareto_NSGAII_MIN_fitness.mat,
SGALAB1003beta5007_currency/SGA__pareto_ranking.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_2D.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_2D_ALL.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_2D_MOGA.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_2D_MOGA_Mendel.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_2D_muGA.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_2D_NPGA.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_2D_NSGA.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_2D_NSGAII.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_3D.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_3D_ALL.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_3D_mesh.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_3D_mesh_MOGA.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_3D_mesh_NPGA.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_3D_mesh_NSGA.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_3D_mesh_NSGAII.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_3D_MOGA.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_3D_NPGA.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_3D_NSGA.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_3D_NSGAII.p,
SGALAB1003beta5007_currency/SGA__pareto_replot_label.p,
SGALAB1003beta5007_currency/SGA__population_pair_generation.p,
SGALAB1003beta5007_currency/SGA__selection_local.p,
SGALAB1003beta5007_currency/SGA__selection_roulettewheel.p,
SGALAB1003beta5007_currency/SGA__selection_stochastic.p,
SGALAB1003beta5007_currency/SGA__selection_tournament.p,
SGALAB1003beta5007_currency/SGA__selection_truncation.p,
SGALAB1003beta5007_currency/SGA__selection_uniform_random.p,
SGALAB1003beta5007_currency/SGA__set_NaN.p,
SGALAB1003beta5007_currency/SGA__suspension/doc/2DOF_suspension_modelling.jpg,
SGALAB1003beta5007_currency/SGA__suspension/doc/SxLAB-FLC&skyhook-(1).pdf,
SGALAB1003beta5007_currency/SGA__suspension/doc/SxLAB-FLC&skyhook-Vehicle Suspension System Modelling.pdf,
SGALAB1003beta5007_currency/SGA__suspension/doc/SxLAB-FLC&skyhook.pdf,
SGALAB1003beta5007_currency/SGA__suspension/SGA__Lyapunov_function.m,
SGALAB1003beta5007_currency/SGA__suspension/SGA__suspension what'snew.txt,
SGALAB1003beta5007_currency/SGA__suspension/SGA__suspension_flc_quarter.mat,
SGALAB1003beta5007_currency/SGA__suspension/SGA__suspension_flc_quarter.mdl,
SGALAB1003beta5007_currency/SGA__suspension/SGA__suspension_flc_quarter_semiactive.mdl,
SGALAB1003beta5007_currency/SGA__suspension/SGA__suspension_flc_quater.mdl,
SGALAB1003beta5007_currency/SGA__suspension/SGA__suspension_flc_quater_passive.mdl,
SGALAB1003beta5007_currency/SGA__suspension/SGA__suspension_flc_replot.m,
SGALAB1003beta5007_currency/SGA__suspension/SGA__suspension_flc_std_2in1out.mdl,
SGALAB1003beta5007_currency/SGA__suspension/SGA__suspension_flc_std_2in1out_sfunction.jpg,
SGALAB1003beta5007_currency/SGA__suspension/SGA__suspension_flc_std_2in1out_sfunction.m,
SGALAB1003beta5007_currency/SGA__suspension/SGA__suspension_quarter_passive.jpg,
SGALAB1003beta5007_currency/SGA__suspension/SGA__suspension_quarter_semiactive.jpg,
SGALAB1003beta5007_currency/SGA__suspension/SGA__suspension_skyhook_quarter.jpg,
SGALAB1003beta5007_currency/SGA__suspension/SGA__suspension_skyhook_quarter.mat,
SGALAB1003beta5007_currency/SGA__suspension/SGA__suspension_skyhook_quarter.mdl,
SGALAB1003beta5007_currency/SGA__suspension/SGA__suspension_skyhook_quarter_semiactive.mdl,
SGALAB1003beta5007_currency/SGA__suspension/SGA__suspension_skyhook_quater_sfuncion.m,
SGALAB1003beta5007_currency/SGA__suspension/SGA__suspension_skyhook_replot.m,
SGALAB1003beta5007_currency/SGA__test_tool_assertequals.p,
SGALAB1003beta5007_currency/SGA__test_tool_contents.p,
SGALAB1003beta5007_currency/SGA__TSP_cost_evaluating.p,
SGALAB1003beta5007_currency/SGA__TSP_crossover_BOOLMATRIX.p,
SGALAB1003beta5007_currency/SGA__TSP_crossover_CX.p,
SGALAB1003beta5007_currency/SGA__TSP_crossover_EAX.p,
SGALAB1003beta5007_currency/SGA__TSP_crossover_OX.p,
SGALAB1003beta5007_currency/SGA__TSP_crossover_PMX.p,
SGALAB1003beta5007_currency/SGA__TSP_crossover_topological.p,
SGALAB1003beta5007_currency/SGA__TSP_FITNESS_function.p,
SGALAB1003beta5007_currency/SGA__TSP_MAX_fitness.mat,
SGALAB1003beta5007_currency/SGA__TSP_MEAN_fitness.mat,
SGALAB1003beta5007_currency/SGA__TSP_MIN_fitness.mat,
SGALAB1003beta5007_currency/SGA__TSP_mutation_displacement.p,
SGALAB1003beta5007_currency/SGA__TSP_mutation_insertion.p,
SGALAB1003beta5007_currency/SGA__TSP_mutation_inversion.p,
SGALAB1003beta5007_currency/SGA__TSP_mutation_reciprocalexchange.p,
SGALAB1003beta5007_currency/SGA__TSP_path_generation.p,
SGALAB1003beta5007_currency/SGA__TSP_set_NaN_to_cost_matrix.p,
SGALAB1003beta5007_currency/SGA__TSP_xypoint_to_costmatrix.p,
SGALAB1003beta5007_currency/SGA__where_is.p,
SGALAB1003beta5007_currency/SGA__where_is_NaN.p,
SGALAB1003beta5007_currency/SGA__where_is_NON_NaN.p,
SGALAB1003beta5007_currency/SGA_about.p,
SGALAB1003beta5007_currency/SGA_audio_record.p,
SGALAB1003beta5007_currency/SGA_autotest_all.p,
SGALAB1003beta5007_currency/SGA_autotest_MO.p,
SGALAB1003beta5007_currency/SGA_benchmark_funcs.p,
SGALAB1003beta5007_currency/SGA_CONSFUNC_evaluating.p,
SGALAB1003beta5007_currency/SGA_CONSFUNC_function.m,
SGALAB1003beta5007_currency/SGA_crossover.p,
SGALAB1003beta5007_currency/SGA_cut.p,
SGALAB1003beta5007_currency/SGA_decoding.p,
SGALAB1003beta5007_currency/SGA_DNA_WatsonCrick_morphism.p,
SGALAB1003beta5007_currency/SGA_elitism.p,
SGALAB1003beta5007_currency/SGA_encoding.p,
SGALAB1003beta5007_currency/SGA_entry_MO_Goal_Attainment_fitness.p,
SGALAB1003beta5007_currency/SGA_entry_MO_NON_Pareto_VEGA.p,
SGALAB1003beta5007_currency/SGA_entry_MO_Pareto_MOGA.p,
SGALAB1003beta5007_currency/SGA_entry_MO_Pareto_MOGA_mendel.p,
SGALAB1003beta5007_currency/SGA_entry_MO_Pareto_MPANN.p,
SGALAB1003beta5007_currency/SGA_entry_MO_Pareto_muGA.p,
SGALAB1003beta5007_currency/SGA_entry_MO_Pareto_muGA_mendel.p,
SGALAB1003beta5007_currency/SGA_entry_MO_Pareto_NPGA.p,
SGALAB1003beta5007_currency/SGA_entry_MO_Pareto_NSGA.p,
SGALAB1003beta5007_currency/SGA_entry_MO_Pareto_NSGAII.p,
SGALAB1003beta5007_currency/SGA_entry_MO_Pareto_PAES.p,
SGALAB1003beta5007_currency/SGA_entry_MO_Pareto_PCGA.p,
SGALAB1003beta5007_currency/SGA_entry_MO_Pareto_PDE.p,
SGALAB1003beta5007_currency/SGA_entry_MO_Pareto_SPDE.p,
SGALAB1003beta5007_currency/SGA_entry_MO_Pareto_SPEA.p,
SGALAB1003beta5007_currency/SGA_entry_MO_Pareto_SPEA2.p,
SGALAB1003beta5007_currency/SGA_entry_MO_showall.p,
SGALAB1003beta5007_currency/SGA_entry_single_objective.p,
SGALAB1003beta5007_currency/SGA_entry_single_objective_mendel.p,
SGALAB1003beta5007_currency/SGA_entry_single_objective_muGA.p,
SGALAB1003beta5007_currency/SGA_entry_TSP.p,
SGALAB1003beta5007_currency/SGA_Error_initial.p,
SGALAB1003beta5007_currency/SGA_Error_RAISE.p,
SGALAB1003beta5007_currency/SGA_FITNESS_assignment_average.p,
SGALAB1003beta5007_currency/SGA_FITNESS_assignment_dummy.p,
SGALAB1003beta5007_currency/SGA_FITNESS_assignment_ranking.p,
SGALAB1003beta5007_currency/SGA_FITNESS_assignment_scaling.p,
SGALAB1003beta5007_currency/SGA_FITNESS_evaluating.p,
SGALAB1003beta5007_currency/SGA_FITNESS_function.m,
SGALAB1003beta5007_currency/SGA_FITNESS_MO_evaluating.p,
SGALAB1003beta5007_currency/SGA_FITNESS_MO_function.m,
SGALAB1003beta5007_currency/SGA_FITNESS_plot.p,
SGALAB1003beta5007_currency/SGA_FITNESS_sharing.p,
SGALAB1003beta5007_currency/SGA_FITNESS_sort.p,
SGALAB1003beta5007_currency/SGA_FITNESS_windowing.p,
SGALAB1003beta5007_currency/SGA_logo.p,
SGALAB1003beta5007_currency/SGA_MATRIX_CONSFUNC_function.p,
SGALAB1003beta5007_currency/SGA_MATRIX_FITNESS_evaluating.p,
SGALAB1003beta5007_currency/SGA_MATRIX_FITNESS_function.p,
SGALAB1003beta5007_currency/SGA_MATRIX_MO_FITNESS_evaluating.p,
SGALAB1003beta5007_currency/SGA_MATRIX_MO_FITNESS_function.p,
SGALAB1003beta5007_currency/SGA_mendel_1stlaw.p,
SGALAB1003beta5007_currency/SGA_MO_benchmark.p,
SGALAB1003beta5007_currency/SGA_MO_FITNESS_function.p,
SGALAB1003beta5007_currency/SGA_mutation.p,
SGALAB1003beta5007_currency/SGA_remove_work_paths.p,
SGALAB1003beta5007_currency/SGA_selection.p,
SGALAB1003beta5007_currency/SGA_selection_pressure.p,
SGALAB1003beta5007_currency/SGA_set_working_paths.p,
SGALAB1003beta5007_currency/SGA_showclock.p,
SGALAB1003beta5007_currency/SGA_splice.p,
SGALAB1003beta5007_currency/SGALAB_demo_MO_MOGA.m,
SGALAB1003beta5007_currency/SGALAB_demo_MO_MOGA_mendel.m,
SGALAB1003beta5007_currency/SGALAB_demo_MO_muGA.m,
SGALAB1003beta5007_currency/SGALAB_demo_MO_muGA_Mendel.m,
SGALAB1003beta5007_currency/SGALAB_demo_MO_NPGA.m,
SGALAB1003beta5007_currency/SGALAB_demo_MO_NSGA.m,
SGALAB1003beta5007_currency/SGALAB_demo_MO_NSGAII.m,
SGALAB1003beta5007_currency/SGALAB_demo_MO_showall.m,
SGALAB1003beta5007_currency/SGALAB_demo_MO_VEGA.m,
SGALAB1003beta5007_currency/SGALAB_demo_single_objective.m,
SGALAB1003beta5007_currency/SGALAB_demo_single_objective_mendel.m,
SGALAB1003beta5007_currency/SGALAB_demo_single_objective_muGA.m,
SGALAB1003beta5007_currency/SGALAB_demo_TSP_13cities.m,
SGALAB1003beta5007_currency/SGALAB_output_info.p,
SGALAB1003beta5007_currency/SGALAB_status_info.p,
SGALAB1003beta5007_currency/SGALAB_version.p,
SGALAB1003beta5007_currency/SSTS__FLC_rule_base2table_2in1out.m,
SGALAB1003beta5007_currency/SSTS__FLC_rule_table2base_2in1out.m,
SGALAB1003beta5007_currency/SSTS__FLC_rule_table_mirror_xaxis.m,
SGALAB1003beta5007_currency/SSTS__FLC_rule_table_mirror_xyaxis_135.m,
SGALAB1003beta5007_currency/SSTS__FLC_rule_table_mirror_xyaxis_45.m,
SGALAB1003beta5007_currency/SSTS__FLC_rule_table_mirror_yaxis.m,
SGALAB1003beta5007_currency/timebar.p,
SGALAB1003beta5007_currency/what'snew.txt

[chintan bhatt]

 

[ionescu mihaela]

 

[Fidel Alex]

 

[Angel Liang]

good

[Zhipeng Gao]

Good

[xiaobo zhang]

thanks

[ming meng]

good and

[jing li]

very good

[LingQi Kong]

 

[bouzouada abdallah]

i need your help

[wu qiuli]

 

[zy fired]

 

[wu ke]

 

[Wei Fan]

 

[li qiang]

Thank you very much!

[li l]

very good!

[ren na]

Thank you a lot!

[w lp]

good

[Sushil Mishra]

This is really very helpful for dealing with genetic Algirithms

[weidong wu]

 

[SrBlessy CHF]

 

[feng shigang]

this is very helpful for multi-objective optimization

[feng shigang]

 

[Ranjit Kumar Barai]

Very useful toolbox for the teachers of EA as well as learners. Researchers will be greatly benifited from this toolbox. To the best of my knowledge, as of now no such Matlab toolbox exists that can handle constraints as well as multiple objectives of NSGA-II algorithm. It is an excellent work. However, the author may consider to distribute the m files instead of p files, in that case the users may contribute further for this toolbox. Trillions of tanks to the author for creating such a nice tolbox.

[vera chen]

 

[feng shigang]

 

[feng shigang]

very useful

[feng shigang]

helpful

[feng shigang]

very helpful

[hanife usta]

 

[lu kang]

the toolbox is so helpfull to me, thanks for the great job you have done, thank you

[Sung Kim]

Very excellent package of Multi objective genetic algorithms. Also very kind updates responsive to users

[Rafi Chamlawi]

 

[ping zou]

thank you for your great job!

[Xin Yu]

Very excellent package!Convenient to use!Make my research easy! Thank you!

[feng shigang]

very helpful

[feng shigang]

very good

[jie lee]

glad to find it,very helpful to me,making the work easy

[Liu Yang]

Help!!!!Urgent!!!!Who can tell me how to use "SGA_FITNESS_MO_function.m"? I want to define my 2 inputs Fitness function. But "SGA_FITNESS_MO_function.m" only work with single input. I set the function as "[ MO_fitness_array ] = SGA_FITNESS_MO_function( x1 , x2, x3 )" depending on the Usage, But it does't work. Erro says "Undefined x2".

[Liu Yang]

Author: Yi Chen had answered my question Patientlly. I'm so Careless. Everyone should see the QuickStart.pdf carefully. The answers of all your questions are there.

[feng shigang]

very good

[shark Liu]

Can you upload randint function here? Thanks!

[leo chen]

randint() is a function in Communications Toolbox, see also about randint()here:

http://www.mathworks.com/access/helpdesk/help/toolbox/comm/index.html?/access/helpdesk/help/toolbox/comm/ug/randint.html&http://www.mathworks.com/cgi-bin/texis/webinator/search/?db=MSS&prox=page&rorder=750&rprox=750&rdfreq=500&rwfreq=500&rlead=250&sufs=0&order=r&is_summary_on=1&ResultCount=10&query=randint

[vimal savsani]

I am a PhD student working for non traditinal optimization technique.I have downloaded the matlab version for NSGA2 and I think it will be of great use to me.

[Afandi Dzakaria]

Brilliant Job! 5 *****

[jin jiefang]

thanks!

[Diao Dongyu]

thanks a lot,it's so great!!

[feng shi gang]

very good

[fei shao]

thank you very much. all you have done is beyond my image, it's great!

[thangjam singh]

It is exactly what i have been looking for.It is going to help me a lot.You are great.Thanks a lot.

[ANON terry]

Excellent

[liudaohai liudaohai]

 It is an excellent work. However, the author may consider to distribute the m files instead of p files.

[LAN LEI]