文件名称:GAPSO
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遗传和粒子群算法的多目标例程,用了几个测试函数,效果还不错-Inheritance and multi-objective particle swarm optimization (pso) routines, used several test functions, the effect is good
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下载文件列表
NSGA-2/evaluate_objective.m
NSGA-2/genetic_operator.m
NSGA-2/initialize_variables.m
NSGA-2/non_domination_sort_mod.m
NSGA-2/nsga_2.m
NSGA-2/objective_description_function.m
NSGA-2/PSO/daolibai.m
NSGA-2/PSO/daolibaimin.m
NSGA-2/PSO/daolibaiPSO.m
NSGA-2/PSO/daolibaiPSO1.m
NSGA-2/PSO/lizi11.m
NSGA-2/PSO/matlab2.mat
NSGA-2/PSO/rscale.m
NSGA-2/PSO/untitled.fig
NSGA-2/PSO/untitledxiabaigan.fig
NSGA-2/replace_chromosome.m
NSGA-2/tournament_selection.m
NSGA-2/PSO
NSGA-2
NSGA-2/genetic_operator.m
NSGA-2/initialize_variables.m
NSGA-2/non_domination_sort_mod.m
NSGA-2/nsga_2.m
NSGA-2/objective_description_function.m
NSGA-2/PSO/daolibai.m
NSGA-2/PSO/daolibaimin.m
NSGA-2/PSO/daolibaiPSO.m
NSGA-2/PSO/daolibaiPSO1.m
NSGA-2/PSO/lizi11.m
NSGA-2/PSO/matlab2.mat
NSGA-2/PSO/rscale.m
NSGA-2/PSO/untitled.fig
NSGA-2/PSO/untitledxiabaigan.fig
NSGA-2/replace_chromosome.m
NSGA-2/tournament_selection.m
NSGA-2/PSO
NSGA-2
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