<img src="./Doc/logo.png" width=256 height=256 />
# PlatEMO
[![](https://img.shields.io/badge/Download-Latest-yellow.svg)](https://github.com/BIMK/PlatEMO/archive/master.zip)
[![](https://img.shields.io/github/release/BIMK/PlatEMO.svg)](https://github.com/BIMK/PlatEMO/releases/)
[![](https://img.shields.io/badge/Matlab-%3E%3D%202014a%20-blue.svg)](#PlatEMO)
[![](https://img.shields.io/badge/Windows-Pass-brightgreen.svg)](#PlatEMO)
[![](https://img.shields.io/badge/Linux-Pass-brightgreen.svg)](#PlatEMO)
[![](https://img.shields.io/badge/MacOS-Pass-red.svg)](#PlatEMO)
Evolutionary multi-objective optimization platform
* 100+ open source evolutionary algorithms
* 200+ open source multi-objective test problems
* Powerful GUI for performing experiments in parallel
* Generating results in the format of Excel or LaTeX table by one-click operation
* State-of-the-art algorithms will be included continuously
Thank you very much for using PlatEMO. The copyright of PlatEMO belongs to the BIMK Group. This
tool is mainly for research and educational purposes. The codes were implemented based on our
understanding of the algorithms published in the papers. You should not rely upon the material or
information on the website as a basis for making any business, legal or any other decisions. We
assume no responsibilities for any consequences of your using any algorithms in the tool. All
publications using the platform should acknowledge the use of “PlatEMO” and reference the
following literature:
## Copyright
> The Copyright of the PlatEMO belongs to the BIMK group. You are free to [use the PlatEMO](https://github.com/BIMK/PlatEMO/releases) for **research purposes**. All publications which use this platform or any code in the platform should **acknowledge the use of "PlatEMO" and reference** _"Ye Tian, Ran Cheng, Xingyi Zhang, and Yaochu Jin, PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum], IEEE Computational Intelligence Magazine, 2017, 12(4): 73-87"._
```
@article{PlatEMO,
title={{PlatEMO}: A {MATLAB} platform for evolutionary multi-objective optimization},
author={Tian, Ye and Cheng, Ran and Zhang, Xingyi and Jin, Yaochu},
journal={IEEE Computational Intelligence Magazine},
volume={12},
number={4},
pages={73--87},
year={2017},
}
```
# Release Highlights of PlatEMO 2.8
[Release Note can be found here](./Doc/releasenote.md)
* Add three algorithms for constrained optimization (i.e., CCMO, MOEA/D-DAE, and TiGE-2) and an algorithm for many-objective optimization (i.e., PREA). There are currently 118 algorithms in the platform.
* Fix some minor bugs in the Pareto front sampling methods in LIR-CMOP and MW problems.
# Features of PlatEMO
* Totally Developed in MATLAB
PlatEMO consists of a number of MATLAB functions without using any other libraries. Any machines able to run MATLAB can use PlatEMO regardless of the operating system.
* Includes Many Popular Algorithms
PlatEMO includes more than ninety existing popular MOEAs, including genetic algorithm, differential evolution, particle swarm optimization, memetic algorithm, estimation of distribution algorithm, and surrogate model based algorithm. Most of them are representative algorithms published in top journals after 2010.
* Various Figure Demonstrations
Users can select various figures to be displayed, including the Pareto front of the result, the Pareto set of the result, the true Pareto front, and the evolutionary trajectories of any performance indicator values.
* Powerful and Friendly GUI
PlatEMO provides a powerful and friendly GUI, where users can configure all the settings and perform experiments in parallel via the GUI without writing any code.
* Generates Data in the Format of Excel or LaTeX
Users can save the statistical experimental results generated by PlatEMO as an Excel table or LaTeX table, which can be directly used in academic writings.
# Support
* [**recommend**] You can ask any question in [issues block](https://github.com/BIMK/PlatEMO/issues) and upload your contribution by pulling request(PR).
* If you want to add your MOEA, MOP, operator or performance indicator to PlatEMO, please send the MATLAB code (able to be used in PlatEMO) and the relevant literature to field910921@gmail.com.
* If you have any question, comment or suggestion to PlatEMO or the algorithms in PlatEMO, please contact Ye Tian (field910921@gmail.com) or join the group of QQ(Group number: 100065008).
<img src="./Doc/QQgroupNumber.jpg" width=180>
# Acknowledge
This repo belongs to BIMK group and has been transferred project from [BIMK](http://bimk.ahu.edu.cn/) to github by Ye Tian and Shichen Peng[@anonymone](https://github.com/anonymone).
没有合适的资源?快使用搜索试试~ 我知道了~
资源推荐
资源详情
资源评论
收起资源包目录
典型的多目标优化算法matlab代码---PlatEMO(你所需要多目标优化代码都有) (822个子文件)
config 298B
Copyright 2KB
data 68KB
description 73B
exclude 240B
.gitignore 61B
HEAD 175B
HEAD 175B
HEAD 32B
HEAD 23B
pack-b5f237cea944e011bac84c4e3733c6794c1deb5a.idx 61KB
index 87KB
QQgroupNumber.jpg 139KB
module_experiment.m 47KB
module_test.m 22KB
GLOBAL.m 18KB
WOF.m 15KB
newGUI.m 12KB
OSP.m 10KB
dacefit.m 9KB
dacefit.m 9KB
dacefit.m 9KB
dacefit.m 9KB
dacefit.m 9KB
dacefit.m 9KB
gp.m 9KB
LCSA_GA.m 8KB
ParameterList.m 8KB
newPopmenu2.m 8KB
newPopmenu.m 8KB
GUI.m 8KB
MaOEAIT.m 8KB
Assignmentoptimal.m 7KB
newFigure.m 7KB
WOF_WeightIndividual.m 7KB
ParameterList_Item.m 7KB
GLMO_GA.m 7KB
S3CMAES.m 7KB
NDSort.m 7KB
WOF_optimiseByMOEAD.m 6KB
Sparse_NN.m 6KB
WOF_NSGAIIIEnvironmentalSelection.m 6KB
INDIVIDUAL.m 6KB
newButtonSpecial.m 6KB
Sparse_CD.m 6KB
LCSA_NSGAIIIEnvironmentalSelection.m 6KB
WOF_NSGAIIEnvironmentalSelection.m 6KB
GLMO_NSGAIIIEnvironmentalSelection.m 6KB
GA.m 6KB
WOF_selectxPrimes.m 6KB
WOF_DEOperator.m 5KB
LCSA_CoefficientSMPSOOperator.m 5KB
WOF_optimiseBySMPSO.m 5KB
WOF_SMPSO_operator.m 5KB
DMOEAeC.m 5KB
GLMO_SMPSOOperator.m 5KB
TREE6.m 5KB
WOF_createGroups.m 5KB
PPS.m 5KB
PREA_Update.m 5KB
LCSA_SMPSOOperator.m 5KB
LCSA_SMPSO.m 5KB
LCSA_NSGAIII.m 5KB
MLDMP.m 5KB
MOEADDAE.m 5KB
WOF_GA.m 5KB
LCSA_NSGAII.m 5KB
EGOSelect.m 5KB
WOF_GAhalf.m 5KB
WFG2.m 5KB
newButtonT.m 5KB
WFG9.m 5KB
newButton.m 5KB
DOC2.m 5KB
MSEA.m 5KB
CMAES.m 5KB
GroupDV.m 5KB
MaF9.m 5KB
MultiObjectiveEGO.m 5KB
MOEADD.m 4KB
MaF11.m 4KB
HV.m 4KB
predictor.m 4KB
predictor.m 4KB
predictor.m 4KB
predictor.m 4KB
predictor.m 4KB
MaF12.m 4KB
newAxes.m 4KB
WFG1.m 4KB
DASCMOP5.m 4KB
UpdateArchive.m 4KB
TREE3.m 4KB
TREE4.m 4KB
TREE5.m 4KB
LSMOP9.m 4KB
hpaNDSolutionsSelectionStrategy.m 4KB
UpdateFront.m 4KB
UpdateFront.m 4KB
UpdateFront.m 4KB
共 822 条
- 1
- 2
- 3
- 4
- 5
- 6
- 9
资源评论
- Killua's2020-12-01还可以,原作者的Githit账号也可以免费下载
- 「已注销」2022-08-30内容很详尽,感谢博主
- Ddddddmb2023-05-30感谢,非常好用
- cmz16882021-10-16可以,早知道去Githit下载了
研行笔录
- 粉丝: 1w+
- 资源: 13
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功