文件名称:PPNGAPSFLA_Trail_V3.0

  • 所属分类:
  • matlab例程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 81kb
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  • 0次
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  • l*
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小生境与蛙跳算法,结合遗传算法。性能比较很优越-Niche leapfrog algorithm, combined with genetic algorithm. Performance comparison is excellent
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PPNGA+SFLA_Trail_V3.0\Contents.m

.....................\Flow_Shop_Scheduling_Problem\Cross.p

.....................\............................\Disturb.p

.....................\............................\Evaluate.p

.....................\............................\FigN20M10.fig

.....................\............................\FigSche.p

.....................\............................\Fitness.p

.....................\............................\FLA.p

.....................\............................\Initialize.p

.....................\............................\Main_SFLA_FsspNM.m

.....................\............................\Main_SFLA_FsspYours.m

.....................\............................\Mutate.p

.....................\............................\SFLA.p

.....................\Flow_Shop_Scheduling_Problem

.....................\.unction_Optimization\Cross.p

.....................\.....................\Disturb.p

.....................\.....................\Evaluate.p

.....................\.....................\F0_Yours.m

.....................\.....................\F1_Sphere.m

.....................\.....................\F2_Rosenbrock.m

.....................\.....................\F3_Rastrigin.m

.....................\.....................\F4_Griewank.m

.....................\.....................\F5_Schaffer.m

.....................\.....................\FLA.p

.....................\.....................\Initialize.p

.....................\.....................\Main_SFLA_F0_FunYours.m

.....................\.....................\Main_SFLA_F1_Sphere.m

.....................\.....................\Main_SFLA_F2_Rosenbrock.m

.....................\.....................\Main_SFLA_F3_Rastrigin.m

.....................\.....................\Main_SFLA_F4_Griewank.m

.....................\.....................\Main_SFLA_F5_Schaffer.m

.....................\.....................\Mutate.p

.....................\.....................\SFLA.p

.....................\Function_Optimization

.....................\Knapsack_Problem\Cross.p

.....................\................\Disturb.p

.....................\................\Evaluate.p

.....................\................\Fitness.p

.....................\................\FLA.p

.....................\................\Initialize.p

.....................\................\Main_SFLA_KP1.m

.....................\................\Main_SFLA_KP2.m

.....................\................\Mutate.p

.....................\................\SFLA.p

.....................\Knapsack_Problem

.....................\Traveling_Salesman_Problem\Cross.p

.....................\..........................\Disturb.p

.....................\..........................\Evaluate.p

.....................\..........................\FigN50.fig

.....................\..........................\FigTsp.p

.....................\..........................\Fitness.p

.....................\..........................\FLA.p

.....................\..........................\Initialize.p

.....................\..........................\Main_SFLA_TspCityN.m

.....................\..........................\Main_SFLA_TspYours.m

.....................\..........................\Mutate.p

.....................\..........................\SFLA.p

.....................\Traveling_Salesman_Problem

.....................\使用说明(一定要看).txt

PPNGA+SFLA_Trail_V3.0

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