登录
首页 » matlab » PlatEMO-master

PlatEMO-master

于 2020-08-18 发布 文件大小:11388KB
0 242
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

  • ch3
    该文件主要介绍如何应用matlab对控制系统进行数学描述与建模(This document describes how to use the control system matlab mathematical description and modeling)
    2013-12-27 19:54:49下载
    积分:1
  • inpainting
    For using this code need to use signal toolbox and general toolbox in your matlab Inpainting using sparse regularization. Consider the pepper image with many missing pixels. Assume that the image is noisy-free. (a) Inpaint the image by using orthogonal wavelet sparsity. (b) Inpaint the image by using a different sparsity prior. Based on the outputs, it is clear that the inpainting result obtain by Sobolev is much better than other methods (i.e. Orthogonal wavelet sparsity and Invariant wavelet sparsity).
    2013-12-11 17:30:22下载
    积分:1
  • PSO
    该报告详细讲述了优化算法的原理,数学模型,实现方法,对于PSO的初学者将会大有裨益。(The report describes in detail the principle of optimization, mathematical models, implementation methods, for the PSO will be of great benefit to the beginner.)
    2009-11-16 17:36:26下载
    积分:1
  • 2-8-bit-Pipelined-ADC-Mode
    model of 8-bit Pipeline ADC
    2011-02-05 07:33:39下载
    积分:1
  • CA
    说明:  改程序对C/A码的产生进行了仿真,运行结果显示了第四颗卫星产生的C/A码(Application to the C/A code generation are simulated, operation results show that the fourth satellite produce C/A code)
    2015-05-23 10:51:30下载
    积分:1
  • Dipole_FD
    The plots of the Poynting vector might serve to show which part of the wire is mainly responsible for creating the radiated field. The movie of the modulus, |S|, does not give a clear answer, since at close distances the pointing vector reaches high values along the entire wire. The fact that |S| is high along the entire line just means that energy is shifted between the endpoints and the middle region (electric and magnetic field respectively).
    2013-04-21 20:26:33下载
    积分:1
  • Trangular-Method-For-Camera-Calibration
    Tiangular Method for Camera Calibration.abstripe48 file is used to generate the pattern for cameras to take and biaoding is used for the pictures taken.
    2013-11-19 19:21:50下载
    积分:1
  • RIP
    对于压缩感知领域的RIP问题,自己编的一种计算矩阵RIP稀疏的程序。(RIP problem for compressed sensing field, a computing sparse matrix RIP own series of programs.)
    2021-04-12 15:58:57下载
    积分:1
  • bwdistsc
    This function computes Euclidean distance transform for 3D binary image with non-trivial aspect ratio (i.e. anisotropic pixels). The algorithm uses fast optimized line-scans and is actually faster than MATLAB s BWDIST implementation of search on optimized kd-tree for many cases. It also uses cell-array representation for internal data, and thus is less demanding to physical memory.
    2007-10-10 15:08:07下载
    积分:1
  • watermarketing
    基于dwL的数宇水印程序,,一维离散小波变换(dwL based on the number of buildings watermarking procedure, a peacekeeping DWT)
    2007-04-24 16:36:10下载
    积分:1
  • 696518资源总数
  • 105877会员总数
  • 14今日下载