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HKWEQHUIEBDSJK

  • Category : DNA
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  • Update : 2014-09-19
  • Size : 160kb
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  • Author :李****
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Intelligent algorithm based on MATLAB training to use, there are a number of genetic ant colony of bees in each
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57578844aco-pso_ga\aco-pso_ga\ant_pso.m
..................\..........\ca_tsp.m
..................\..........\cross_tsp_a.m
..................\..........\cross_tsp_b.m
..................\..........\cross_tsp_c.m
..................\..........\cross_tsp_d.m
..................\..........\mutation_a.m
..................\..........\mutation_b.m
..................\..........\mutation_c.m
..................\..........\mutation_d.m
ACO_GA_Hybrid\acooo.m
.............\ant_ga_hybrid.m
.............\CalDist.m
.............\ca_tsp.m
.............\CooCity.txt
.............\cro.m
.............\cross_tsp_1.m
.............\cross_tsp_2.m
.............\cross_tsp_3.m
.............\cross_tsp_4.m
.............\cross_tsp_a.m
.............\cross_tsp_b.m
.............\cross_tsp_c.m
.............\cross_tsp_d.m
.............\drawTSP.m
.............\GA.m
.............\hybrid.m
.............\hybrid1.m
.............\hybrid2.m
.............\inroute.m
.............\main.fig
.............\main.m
.............\mut.m
.............\mutation_1.m
.............\mutation_2.m
.............\mutation_3.m
.............\mutation_4.m
.............\mutation_a.m
.............\mutation_b.m
.............\mutation_c.m
.............\mutation_d.m
.............\mution5.m
.............\nextcitychoose.m
.............\objf.m
.............\output.txt
.............\path.m
.............\pro.m
.............\sel.m
.............\tsp.m
.............\tspplot.m
aco-ga-pso方法\ant_pso.m
..............\ca_tsp.m
..............\cross_tsp_a.m
..............\cross_tsp_b.m
..............\cross_tsp_c.m
..............\cross_tsp_d.m
..............\mutation_a.m
..............\mutation_b.m
..............\mutation_c.m
..............\mutation_d.m
ACO.m
15317244MATLAB-ACO-PSO-IA\群智能算法.txt
24862480ACO_Peng_V4\ACO_Peng_V4.m
41548294PSO-ACO-TSP\PSO-ACO-TSP代码\30实验数据图形.doc
...................\...............\ca_tsp.m
...................\...............\cross_tsp_1.asv
...................\...............\cross_tsp_1.m
...................\...............\cross_tsp_2.m
...................\...............\cross_tsp_3.txt
...................\...............\cross_tsp_4.m
...................\...............\fortyeight_new_pso_aco.asv
...................\...............\fortyeight_new_pso_aco.m
...................\...............\fortyeight_pso_aco.asv
...................\...............\fortyeight_pso_aco.m
...................\...............\muation_5.txt
...................\...............\mutation_1.asv
...................\...............\mutation_1.m
...................\...............\mutation_2.txt
...................\...............\mutation_3.txt
...................\...............\mutation_4.m
...................\...............\pso_aco.asv
...................\...............\pso_aco.m
.3680553ACO_GA_Hybrid\ACO_GA_Hybrid\acooo.asv
.....................\.............\acooo.m
.....................\.............\ant_ga_hybrid.asv
.....................\.............\ant_ga_hybrid.m
.....................\.............\CalDist.m
.....................\.............\ca_tsp.m
.....................\.............\CooCity.txt
.....................\.............\cro.m
.....................\.............\cross_tsp_1.m
.....................\.............\cross_tsp_2.m
.....................\.............\cross_tsp_3.m
.....................\.............\cross_tsp_4.m
.....................\.............\cross_tsp_a.m
.....................\.............\cross_tsp_b.m
.....................\.............\cross_tsp_c.m
.....................\.............\cross_tsp_d.m
.....................\.............\drawTSP.asv
.....................\.............\drawTSP.m
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