登录
首页 » matlab » BAS_optimization

BAS_optimization

于 2018-09-20 发布 文件大小:705KB
0 427
下载积分: 1 下载次数: 50
我要下载

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

下载说明：请别用迅雷下载，失败请重下，重下不扣分！

发表评论

0 个回复

  • 基于人群搜索算法的函数优化
    包含人群搜索算法源程序，和rastrigin、Schaffer和Spher三个函数的优化，并与PSO比较(Including the source program of crowd search algorithm, and the optimization of rastrigin, Schaffer and Sphere functions, and comparing with PSO)
    2019-06-27 01:37:39下载
    积分：1
  • bayes-LSSVM
    说明：  贝叶斯算法优化了LSSVM的算例，算例中有贝叶斯算法优化，相对比较少见的优化。(Bayesian algorithm optimizes LSSVM examples)
    2019-06-18 10:08:48下载
    积分：1
  • 调度
    说明：  日前调度，很好用的。已经证明打开了。可以运行(Day ahead scheduling)
    2019-05-26 21:24:35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
  • 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
  • FPA
    说明：  基于变异策略的改进型花朵授粉算法，里边集成了粒子群算法、蝙蝠算法以及定向变异策略，进行对比(An improved flower pollination algorithm based on mutation strategy, which integrates particle swarm optimization, bat algorithm and directional mutation strategy, is compared.)
    2020-11-18 16:09:38下载
    积分：1
  • 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
  • 求解多目标问题，业内最经典的多目标算法之一 NSGA-II
    求解多目标问题，业内最经典的多目标算法之一(to solve multi-object problem)
    2020-06-25 06:40:01下载
    积分：1
  • NSGA 代码
    说明：  多目标遗传算法的完整代码，测试函数使用ZDT和DTLZ函数(Complete code of multi-objective genetic algorithm, test function uses ZDT and dtlz function)
    2020-04-25 10:06:17下载
    积分：1
  • jmetal5.3集成多种进化算法
    JMetal是一个集成的可以更方便地比较各种算法的平台,包括的算法是流行的,常用的多目标进化算法,包括NSGA2,SPEA2,NSGA3等。
    2023-08-03 00:10:11下载
    积分：1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载

热门标签

Visual C++ matlab C/C++ Java Others Unix_Linux EasyLanguage易语言 Visual Basic C# PDF C++ Delphi VHDL ASP WINDOWS
热门下载

Copyright© 2019-2026 | Powered by Imdn | 浙ICP备16007336号 | IMDN交流 | 联系客服（QQ：3324461878）

本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！