登录
首页 » matlab » BAS_optimization

BAS_optimization

于 2018-09-20 发布 文件大小:705KB
0 453
下载积分: 1 下载次数: 50

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

  • 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
  • ABC
    matlab实现人工蜂群优化(ABC)算法,用于最优化计算(MATLAB realizes artificial bee colony optimization (ABC) algorithm for optimization calculation)
    2020-11-20 10:29:38下载
    积分:1
  • TSP-ASrank(基于排序(或列)的蚂蚁系统)
    说明:  对于蚁群算法做出的改进,按信息素大小进行排序(For the improvement of ant colony algorithm, it is sorted by pheromone size)
    2021-04-21 15:18:49下载
    积分:1
  • RWGWO-PE
    说明:  单目标带约束的随机漫步灰狼算法带初始化源代码(Single target grey wolf algorithm with constraint random walk source code)
    2020-01-07 21:17:43下载
    积分:1
  • matlab实现蚁狮优化(ALO)算法-ALO
    说明:  matlab实现蚁狮优化(ALO)算法,用于最优化计算(Matlab implements ant lion optimization (ALO) algorithm for optimization calculation)
    2020-12-23 21:19:06下载
    积分:1
  • compute_DC_BC_NC_CoEWC_PEC_WDC_methods_results
    说明:  根据Degree Centrality、Co-Expression Weighted by clustering Coefficient、Betweenness Centrality、PeC等六种参数的计算来寻找关键蛋白质(Find the key proteins according to the calculation of Degree Centrality, Co-Expression Weighted by clustering Coefficient, Betweenness Centrality, PeC and other six parameters.)
    2020-06-23 17:40:02下载
    积分:1
  • 例4.2
    说明:  基于遗传算法的稀步平面阵列,用于平面阵列的稀步优化。可以有效的减少平面阵列的阵元。从而降低阵列天线的成本。(The sparse step linear array based on genetic algorithm is used to optimize the sparse step linear array. It can effectively reduce the array elements of linear array.)
    2020-08-26 08:57:15下载
    积分:1
  • Hybrid-GWOPSO-optimization
    灰狼算法和粒子群算法的结合,是两种种群算法的结合,值得一看(The combination of grey Wolf algorithm and particle swarm optimization is a combination of two population algorithms, which is worth a look)
    2021-04-23 02:18:48下载
    积分:1
  • wfgextendProblems
    一个实现多目标进化计算的数据集,用来测试不同的真实pareto前沿(A data set for multi-objective evolutionary computation to test different real Pareto Frontiers)
    2020-06-17 22:00:01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
  • 696516资源总数
  • 106914会员总数
  • 0今日下载