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BAS_optimization

于 2018-09-20 发布 文件大小:705KB
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代码说明：

  天牛须算法的简单编写，需要自己替换适应度函数(The algorithm is simple and needs to replace its fitness function.)

文件列表：

BAS_optimization, 0 , 2018-09-18
BAS_optimization\BAS.m, 2197 , 2018-09-12
__MACOSX, 0 , 2018-09-20
__MACOSX\BAS_optimization, 0 , 2018-09-20
__MACOSX\BAS_optimization\._BAS.m, 178 , 2018-09-12
BAS_optimization\getSLL.m, 1071 , 2018-07-01
__MACOSX\BAS_optimization\._getSLL.m, 178 , 2018-07-01
BAS_optimization\boundary_judge.m, 447 , 2018-09-13
__MACOSX\BAS_optimization\._boundary_judge.m, 178 , 2018-09-13
BAS_optimization\timestr.asv, 1028 , 2018-07-02
__MACOSX\BAS_optimization\._timestr.asv, 178 , 2018-07-02
BAS_optimization\DataSave, 0 , 2018-09-18
BAS_optimization\DataSave\20180711222127_Ge50_LogFile, 216 , 2018-07-11
__MACOSX\BAS_optimization\DataSave, 0 , 2018-09-20
__MACOSX\BAS_optimization\DataSave\._20180711222127_Ge50_LogFile, 178 , 2018-07-11
BAS_optimization\DataSave\20180704093926_Ge3, 0 , 2018-09-18
__MACOSX\BAS_optimization\DataSave\._20180704093926_Ge3, 178 , 2018-09-18
BAS_optimization\DataSave\20180714203440_Ge50_LogFile, 3409 , 2018-07-14
__MACOSX\BAS_optimization\DataSave\._20180714203440_Ge50_LogFile, 178 , 2018-07-14
BAS_optimization\DataSave\20180716161226_Ge250_LogFile, 16210 , 2018-07-16
__MACOSX\BAS_optimization\DataSave\._20180716161226_Ge250_LogFile, 178 , 2018-07-16
BAS_optimization\DataSave\2018070218137_LogFile, 91 , 2018-07-02
__MACOSX\BAS_optimization\DataSave\._2018070218137_LogFile, 178 , 2018-07-02
BAS_optimization\DataSave\20180912163612_Ge250_LogFile, 152 , 2018-09-12
__MACOSX\BAS_optimization\DataSave\._20180912163612_Ge250_LogFile, 178 , 2018-09-12
BAS_optimization\DataSave\20180716160431_Ge250_LogFile, 16209 , 2018-07-16
__MACOSX\BAS_optimization\DataSave\._20180716160431_Ge250_LogFile, 178 , 2018-07-16
BAS_optimization\DataSave\20180912163544_Ge250_LogFile, 152 , 2018-09-12
__MACOSX\BAS_optimization\DataSave\._20180912163544_Ge250_LogFile, 178 , 2018-09-12
BAS_optimization\DataSave\20180717152453_Ge250_LogFile, 13400 , 2018-07-17
__MACOSX\BAS_optimization\DataSave\._20180717152453_Ge250_LogFile, 178 , 2018-07-17
BAS_optimization\DataSave\20180716155624_Ge250_LogFile, 16209 , 2018-07-16
__MACOSX\BAS_optimization\DataSave\._20180716155624_Ge250_LogFile, 178 , 2018-07-16
BAS_optimization\DataSave\20180911171707_Ge250_LogFile, 16211 , 2018-09-11
__MACOSX\BAS_optimization\DataSave\._20180911171707_Ge250_LogFile, 178 , 2018-09-11
BAS_optimization\DataSave\20180912164027_Ge250_LogFile, 152 , 2018-09-12
__MACOSX\BAS_optimization\DataSave\._20180912164027_Ge250_LogFile, 178 , 2018-09-12
BAS_optimization\DataSave\20180912164850_Ge250_LogFile, 152 , 2018-09-12
__MACOSX\BAS_optimization\DataSave\._20180912164850_Ge250_LogFile, 178 , 2018-09-12
BAS_optimization\DataSave\20180702182859_LogFile, 92 , 2018-07-02
__MACOSX\BAS_optimization\DataSave\._20180702182859_LogFile, 178 , 2018-07-02
BAS_optimization\DataSave\20180913142525_Ge150_LogFile, 152 , 2018-09-13
__MACOSX\BAS_optimization\DataSave\._20180913142525_Ge150_LogFile, 178 , 2018-09-13
BAS_optimization\DataSave\_PIC101.png, 37065 , 2018-07-02
__MACOSX\BAS_optimization\DataSave\.__PIC101.png, 178 , 2018-07-02
BAS_optimization\DataSave\_PIC105.png, 87130 , 2018-07-02
__MACOSX\BAS_optimization\DataSave\.__PIC105.png, 178 , 2018-07-02
BAS_optimization\DataSave\20180716160923_Ge250_LogFile, 16209 , 2018-07-16
__MACOSX\BAS_optimization\DataSave\._20180716160923_Ge250_LogFile, 178 , 2018-07-16
BAS_optimization\DataSave\20180716162554_Ge250_LogFile, 16210 , 2018-07-16
__MACOSX\BAS_optimization\DataSave\._20180716162554_Ge250_LogFile, 178 , 2018-07-16
BAS_optimization\DataSave\20180717111609_Ge250_LogFile, 14808 , 2018-07-17
__MACOSX\BAS_optimization\DataSave\._20180717111609_Ge250_LogFile, 178 , 2018-07-17
BAS_optimization\DataSave\20180717161246_Ge250_LogFile, 344 , 2018-07-17
__MACOSX\BAS_optimization\DataSave\._20180717161246_Ge250_LogFile, 178 , 2018-07-17
BAS_optimization\DataSave\.DS_Store, 6148 , 2018-09-18
__MACOSX\BAS_optimization\DataSave\._.DS_Store, 120 , 2018-09-18
BAS_optimization\DataSave\20180912173102_Ge250_LogFile, 152 , 2018-09-12
__MACOSX\BAS_optimization\DataSave\._20180912173102_Ge250_LogFile, 178 , 2018-09-12
BAS_optimization\DataSave\20180911183238_Ge250_LogFile, 16004 , 2018-09-11
__MACOSX\BAS_optimization\DataSave\._20180911183238_Ge250_LogFile, 178 , 2018-09-11
BAS_optimization\DataSave\20180912163303_Ge250_LogFile, 152 , 2018-09-12
__MACOSX\BAS_optimization\DataSave\._20180912163303_Ge250_LogFile, 178 , 2018-09-12
BAS_optimization\DataSave\20180717152214_Ge250_LogFile, 3672 , 2018-07-17
__MACOSX\BAS_optimization\DataSave\._20180717152214_Ge250_LogFile, 178 , 2018-07-17
BAS_optimization\DataSave\20180712084417_Ge50_LogFile, 152 , 2018-07-12
__MACOSX\BAS_optimization\DataSave\._20180712084417_Ge50_LogFile, 178 , 2018-07-12
BAS_optimization\DataSave\_PIC104.png, 88094 , 2018-07-02
__MACOSX\BAS_optimization\DataSave\.__PIC104.png, 178 , 2018-07-02
BAS_optimization\DataSave\_PIC106.png, 8312 , 2018-07-02
__MACOSX\BAS_optimization\DataSave\.__PIC106.png, 178 , 2018-07-02
BAS_optimization\DataSave\20180717150840_Ge250_LogFile, 16210 , 2018-07-17
__MACOSX\BAS_optimization\DataSave\._20180717150840_Ge250_LogFile, 178 , 2018-07-17
BAS_optimization\DataSave\20180716161057_Ge250_LogFile, 16209 , 2018-07-16
__MACOSX\BAS_optimization\DataSave\._20180716161057_Ge250_LogFile, 178 , 2018-07-16
BAS_optimization\DataSave\20180704093926_Ge3_cvgLine.txt, 60 , 2018-07-04
__MACOSX\BAS_optimization\DataSave\._20180704093926_Ge3_cvgLine.txt, 178 , 2018-07-04
BAS_optimization\DataSave\20180717154411_Ge250_LogFile, 11864 , 2018-07-17
__MACOSX\BAS_optimization\DataSave\._20180717154411_Ge250_LogFile, 178 , 2018-07-17
BAS_optimization\DataSave\20180716163801_Ge250_LogFile, 16210 , 2018-07-16
__MACOSX\BAS_optimization\DataSave\._20180716163801_Ge250_LogFile, 178 , 2018-07-16
BAS_optimization\DataSave\20180913144327_Ge150_LogFile, 152 , 2018-09-13
__MACOSX\BAS_optimization\DataSave\._20180913144327_Ge150_LogFile, 178 , 2018-09-13
BAS_optimization\DataSave\20180716162112_Ge250_LogFile, 16210 , 2018-07-16
__MACOSX\BAS_optimization\DataSave\._20180716162112_Ge250_LogFile, 178 , 2018-07-16
BAS_optimization\DataSave\20180911161149_Ge250_LogFile, 2582 , 2018-09-11
__MACOSX\BAS_optimization\DataSave\._20180911161149_Ge250_LogFile, 178 , 2018-09-11
BAS_optimization\DataSave\20180716144934_Ge100_LogFile, 6610 , 2018-07-16
__MACOSX\BAS_optimization\DataSave\._20180716144934_Ge100_LogFile, 178 , 2018-07-16
BAS_optimization\DataSave\20180912164810_Ge250_LogFile, 152 , 2018-09-12
__MACOSX\BAS_optimization\DataSave\._20180912164810_Ge250_LogFile, 178 , 2018-09-12
BAS_optimization\DataSave\20180704093926_Ge3_PIC105.png, 124220 , 2018-07-04
__MACOSX\BAS_optimization\DataSave\._20180704093926_Ge3_PIC105.png, 178 , 2018-07-04
BAS_optimization\DataSave\20180716164236_Ge250_LogFile, 344 , 2018-07-16
__MACOSX\BAS_optimization\DataSave\._20180716164236_Ge250_LogFile, 178 , 2018-07-16
BAS_optimization\DataSave\20180704093926_Ge3_PIC104.png, 124791 , 2018-07-04
__MACOSX\BAS_optimization\DataSave\._20180704093926_Ge3_PIC104.png, 178 , 2018-07-04
BAS_optimization\DataSave\20180911171617_Ge250_LogFile, 344 , 2018-09-11
__MACOSX\BAS_optimization\DataSave\._20180911171617_Ge250_LogFile, 178 , 2018-09-11
BAS_optimization\DataSave\20180717111910_Ge250_LogFile, 16210 , 2018-07-17

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发表评论

0 个回复

  • FA_yangxinshe
    标准萤火虫算法,程序运行稳定，可以自测！！！！！！！(Standard firefly algorithm, the program runs stably and can be self-tested! ! ! ! ! ! !)
    2019-01-27 16:46:15下载
    积分：1
  • FA_yangxinshe
    说明：  标准萤火虫算法,程序运行稳定，可以自测！！！！！！！(Standard firefly algorithm, the program runs stably and can be self-tested! ! ! ! ! ! !)
    2019-01-27 16:46:15下载
    积分：1
  • 改进遗传算法MATLAB编程
    对传统遗传算法进行了改进，简单易懂可运行(The traditional genetic algorithm is improved, which is simple, easy to understand and run)
    2018-04-03 16:33:08下载
    积分：1
  • 蚁群算法求解TSP问题程序
    说明：  蚁群算法求解TSP问题程序,代码简单明了，易于理解。(Ant colony algorithm for TSP)
    2020-07-07 14:50:25下载
    积分：1
  • 爬山法-遗传算法-极限学习机
    爬山改进遗传算法，提供更快的收敛速度，并用于优化极限学习机权值(Mountain climbing improved genetic algorithm to provide faster convergence speed and to optimize the weight of extreme learning machine)
    2021-04-13 14:38:56下载
    积分：1
  • minmin
    minmin算法，适用于任务调度，可以与GA以及PSO等进行比较，是最基础的算法。(Minmin algorithm is suitable for task scheduling.)
    2020-12-22 10:19:07下载
    积分：1
  • 改进的蚁群算法
    在蚁群算法的基础上进行改进，使优化效果更加明显(On the basis of ant colony algorithm, the optimization effect is more obvious.)
    2019-03-27 21:11:48下载
    积分：1
  • FJSP-Dynamic-master
    解决车间资源分配的动态调度问题，采用遗传算法(Solving the dynamic scheduling problem of workshop resource allocation, using genetic algorithm)
    2020-06-16 11:20:02下载
    积分：1
  • FJSP-Dynamic-master
    说明：  解决车间资源分配的动态调度问题，采用遗传算法(Solving the dynamic scheduling problem of workshop resource allocation, using genetic algorithm)
    2020-06-16 11:20:02下载
    积分：1
  • matlab实现蝙蝠优化(BA)算法 bat_algorithm
    说明：  matlab实现蝙蝠优化(BA)算法，用于最优化计算(Bat optimization (BA) algorithm implemented by MATLAB for optimization calculation)
    2020-06-22 06:00:01下载
    积分：1
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