登录
首页 » matlab » PlatEMO-master

PlatEMO-master

于 2020-08-18 发布 文件大小:11388KB
0 283
下载积分: 1 下载次数: 8

代码说明:

  platEMO是Ye Tian等学者写的一款基于MATLAB的多目标优化工具,为新入门的同学或者开发者提供了很大的便利,其今年已经发布到PlatEMO 2.0版本了。这款工具主要具有以下的几个特点: 1.完全由MATLAB开发,不需要任何其它库。 2.包括现有的90个流行的MOEAs,包括遗传算法、差分进化、粒子群优化、模因算法、分布估计算法和基于代理模型的算法。其中大多数是2010年以后在顶级期刊上发表的代表性算法。 3.用户可以显示各种图形,包括结果的pareto front,真实的pareto front等等。 4.强大友好的GUI,可以不用编辑任何代码。 5.可以直接生成Excel或者LaTex。(PlaEMO is a multi-objective optimization tool based on MATLAB written by Ye Tian and other scholars. It is a great convenience for beginners or developers. It has been released to PlatEMO version 2.0 this year. This tool has the following characteristics: 1. Developed entirely by MATLAB without any other libraries. 2. Including 90 popular MOEAs, including genetic algorithm, differential evolution, particle swarm optimization, meme algorithm, distribution estimation algorithm and proxy model-based algorithm. Most of them are representative algorithms published in top journals after 2010. 3. Users can display various graphics, including Pareto front, real Pareto front and so on. 4. Powerful and friendly GUI, you can edit no code. 5. Excel or LaTex can be generated directly.)

文件列表:

PlatEMO-master, 0 , 2019-06-27
PlatEMO-master\.github, 0 , 2019-06-27
PlatEMO-master\.github\ISSUE_TEMPLATE, 0 , 2019-06-27
PlatEMO-master\.github\ISSUE_TEMPLATE\bug_report.md, 799 , 2019-06-27
PlatEMO-master\.github\ISSUE_TEMPLATE\feature_request.md, 560 , 2019-06-27
PlatEMO-master\.gitignore, 57 , 2019-06-27
PlatEMO-master\Doc, 0 , 2019-06-27
PlatEMO-master\Doc\QQgroupNumber.jpg, 142233 , 2019-06-27
PlatEMO-master\Doc\logo.png, 51921 , 2019-06-27
PlatEMO-master\PlatEMO, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\A-NSGA-III, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\A-NSGA-III\ANSGAIII.m, 1872 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\A-NSGA-III\Adaptive.m, 1824 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\A-NSGA-III\EnvironmentalSelection.m, 3192 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\AGE-II, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\AGE-II\AGEII.m, 1587 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\AGE-II\CrowdingDistance.m, 1353 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\AGE-II\EnvironmentalSelection.m, 2128 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\AGE-II\MatingSelection.m, 1033 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\AGE-II\UpdateArchive.m, 763 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\AR-MOEA, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\AR-MOEA\ARMOEA.m, 1668 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\AR-MOEA\CalDistance.m, 1345 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\AR-MOEA\EnvironmentalSelection.m, 3017 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\AR-MOEA\MatingSelection.m, 2198 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\AR-MOEA\UpdateRefPoint.m, 2552 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\BCE-IBEA, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\BCE-IBEA\BCEIBEA.m, 1717 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\BCE-IBEA\CalFitness.m, 1001 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\BCE-IBEA\EnvironmentalSelection.m, 979 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\BCE-IBEA\Exploration.m, 1472 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\BCE-IBEA\PCSelection.m, 1465 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\BCE-MOEA-D, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\BCE-MOEA-D\BCEMOEAD.m, 2763 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\BCE-MOEA-D\Exploration.m, 1472 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\BCE-MOEA-D\PCSelection.m, 1465 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\BiGE, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\BiGE\BiGE.m, 1229 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\BiGE\EnvironmentalSelection.m, 1409 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\BiGE\Estimation.m, 1265 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\BiGE\MatingSelection.m, 983 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\C-MOEA-D, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\C-MOEA-D\CMOEAD.m, 2691 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CA-MOEA, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CA-MOEA\CAMOEA.m, 2481 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CA-MOEA\Reference_Generation.m, 1983 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CA-MOEA\Reference_Point_Selection.m, 2921 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CMOPSO, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CMOPSO\CMOPSO.m, 1248 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CMOPSO\CrowdingDistance.m, 1353 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CMOPSO\EnvironmentalSelection.m, 1731 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CMOPSO\Operator.m, 2579 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CPS-MOEA, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CPS-MOEA\CPSMOEA.m, 1659 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CPS-MOEA\KNN.m, 1027 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CPS-MOEA\NDS.m, 1709 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CPS-MOEA\Operator.m, 1140 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CSEA, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CSEA\CSEA.m, 2582 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CSEA\DataProcess.m, 1279 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CSEA\FNN.m, 3176 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CSEA\GetOutput.m, 881 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CSEA\RadarGrid.m, 1548 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CSEA\RefSelect.m, 2569 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CSEA\SurrogateAssistedSelection.m, 1630 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\CSEA\lhsamp.m, 592 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\DMOEA-eC, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\DMOEA-eC\DMOEAeC.m, 5235 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\DMOEA-eC\UpdateArchive.m, 1609 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EAG-MOEA-D, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EAG-MOEA-D\EAGMOEAD.m, 2117 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EAG-MOEA-D\MatingSelection.m, 1070 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EAG-MOEA-D\UpdateArchive.m, 1701 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EAG-MOEA-D\UpdatePopulation.m, 1015 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EFR-RR, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EFR-RR\EFRRR.m, 1673 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EFR-RR\EnvironmentalSelection.m, 1203 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EFR-RR\MaximumRanking.m, 1308 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EFR-RR\Normalization.m, 1419 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EIM-EGO, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EIM-EGO\DACE, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EIM-EGO\DACE\corrgauss.m, 1028 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EIM-EGO\DACE\dacefit.m, 9151 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EIM-EGO\DACE\lhsamp.m, 592 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EIM-EGO\DACE\predictor.m, 4398 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EIM-EGO\DACE\regpoly0.m, 377 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EIM-EGO\DACE\regpoly1.m, 385 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EIM-EGO\EIMEGO.m, 2567 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EIM-EGO\InfillSamplingEIM.m, 3172 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EMyO-C, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EMyO-C\Clustering.m, 2061 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EMyO-C\EMyOC.m, 1558 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EMyO-C\EnvironmentalSelection.m, 1133 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EMyO-C\Operator.m, 1819 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\EMyO-C\Truncation.m, 1430 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\ENS-MOEA-D, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\ENS-MOEA-D\ENSMOEAD.m, 3986 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\GDE3, 0 , 2019-06-27
PlatEMO-master\PlatEMO\Algorithms\GDE3\EnvironmentalSelection.m, 2764 , 2019-06-27

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

  • Recursive_integer_division
    递归法求解整数划分。 整数划分,是指把一个正整数n写成如下形式: n=m1+m2+…+mi (其中mi为正整数,并且1 <= mi <= n),则{m1,m2,...,mi}为n的一个划分。 如果{m1,m2,...,mi}中的最大值不超过m,即max(m1,m2,...,mi)<=m,则称它属于n的一个m划分。这里我们记n的m划分的个数为f(n,m) (Recursive method integer division. Integer division, refers to a positive integer n written as follows: n = m1+m2+ ...+mi (where mi is a positive integer, and 1 < = mi < = n), then {m1, m2, ..., mi} is a division of n. If {m1, m2, ..., mi} does not exceed the maximum value of m, i.e., max (m1, m2, ..., mi) < = m, m n is said that it belongs to a division. Where m is the number of division n our mind is f (n, m) )
    2014-02-06 14:21:38下载
    积分:1
  • hddwt
    Double Density Wavelet Soft
    2009-04-20 20:18:19下载
    积分:1
  • OFDM-vs-SCFDM-Comparison
    Compare between OFDM and SC-FDMA
    2015-03-11 01:41:37下载
    积分:1
  • UKF_UKF
    说明:  很好的扩张滤波算法 精度高 时间短 适合导航运算(The expansion of good short time filtering algorithm for high precision navigation operations)
    2011-03-17 21:18:23下载
    积分:1
  • K_means
    K-means MATLAB源程序,适用于聚类分析的代码(K-means MATLAB programe)
    2009-11-19 15:40:04下载
    积分:1
  • 8dpsk
    说明:  本程序实现了8DPSK的调制与传输,计算了误码率等性能参数(This procedure implements the modulation and transmission 8DPSK calculated performance parameters such as bit error rate)
    2010-04-29 10:31:41下载
    积分:1
  • E7_1_LMSSim
    LMS matlab 仿真实例 Monte Carlo仿真统计次数(LMS matlab simulation examples Monte Carlo simulation statistics)
    2015-01-26 21:18:42下载
    积分:1
  • matlab_hfss_bihelix
    说明:  matlab hfss 建模,用于建模,非常好,有问题请联系我(matlab hfss modeling, if you have some problem about the program, please connect me)
    2011-03-16 23:06:35下载
    积分:1
  • jingyanmotaifenjie
    不错的经验模态分解原吗,请相互分享,如有需要请邮箱联系/(good experience Modal Decomposition of the original yet, please share with each other, if necessary please mail contact /)
    2007-03-14 14:21:33下载
    积分:1
  • firefly_algorithm
    简单的萤火虫算法,算法收敛性较强,搜索全局最优能力强。(Simple firefly algorithm)
    2017-06-21 21:38:22下载
    积分:1
  • 696516资源总数
  • 106562会员总数
  • 4今日下载