登录
首页 » matlab » BAS_optimization

BAS_optimization

于 2018-09-20 发布 文件大小:705KB
0 412
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

  • 遗传算法路径规划
    利用遗传算法实现机器人最优路径规划，优化算法步骤实现迭代次数最第，包括文档说明和算法说明(The genetic algorithm is used to realize the optimal path planning of robots, and the optimal algorithm steps are used to achieve the highest number of iterations, including document description and algorithm description.)
    2019-01-07 15:49:34下载
    积分：1
  • GWO
    用matlab实现灰狼优化算法，用于最优化计算(Gray Wolf Optimization Algorithms with MATLAB for Optimal Computing)
    2020-06-22 07:00:01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
  • 灰狼重油建模程序
    改进的灰狼算法用于重油热解模型的建模程序(greywolf algorithm for observation of heavy oil thermal cracking)
    2021-01-21 19:18:40下载
    积分：1
  • 萤火虫算法算例
    多个萤火虫算法基础算例，为萤火虫算法通用算例(benchmark problem for firefly algorithm)
    2020-10-18 12:17:27下载
    积分：1
  • BAS_optimization
    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.)
    2018-09-20 10:02:09下载
    积分：1
  • CSO_Matlab-master
    竞争群算法（CSO）的matlab实现。(The Matlab Source code of the Competitive Swarm Optimizer (CSO))
    2018-05-06 20:23:52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
  • 智能微电网粒子群优化算法
    说明：  含电动汽车的微电网的优化运行，用粒子群算法进行多目标优化(Multi-objective optimization is carried out by using particle swarm optimization algorithm (PSO) to optimize the operation of microgrid with electric vehicles)
    2021-04-26 12:08:45下载
    积分：1
  • 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
  • 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！