GAPSO
代码说明:
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)
文件列表:
NSGA-2
............\evaluate_objective.m,1697,2015-03-24
............\genetic_operator.m,7434,2015-03-24
............\initialize_variables.m,2131,2015-03-24
............\non_domination_sort_mod.m,8134,2015-03-24
............\nsga_2.m,10474,2015-03-24
............\objective_description_function.m,3163,2015-03-24
............\PSO
............\...\daolibai.m,760,2015-03-24
............\...\daolibaimin.m,1357,2015-03-24
............\...\daolibaiPSO.m,1892,2015-03-24
............\...\daolibaiPSO1.m,1615,2015-03-24
............\...\lizi11.m,1439,2015-03-24
............\...\matlab2.mat,3348,2015-03-24
............\...\rscale.m,373,2015-03-24
............\...\untitled.fig,14627,2015-03-24
............\...\untitledxiabaigan.fig,13390,2015-03-24
............\replace_chromosome.m,3294,2015-03-24
............\tournament_selection.m,3999,2015-03-24
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