https://github.com/tomtkg/moea-d-dcwv

MOEA/D with distribution control of weight vector set
https://github.com/tomtkg/moea-d-dcwv

evolutionary-algorithm matlab moea multi-objective-optimization platemo

Last synced: 3 days ago
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MOEA/D with distribution control of weight vector set

• Host: GitHub
• URL: https://github.com/tomtkg/moea-d-dcwv
• Owner: tomtkg
• License: mit
• Created: 2020-05-17T05:19:51.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2023-08-09T15:01:29.000Z (almost 3 years ago)
• Last Synced: 2025-02-25T05:32:10.333Z (over 1 year ago)
• Topics: evolutionary-algorithm, matlab, moea, multi-objective-optimization, platemo
• Language: MATLAB
• Homepage:
• Size: 577 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# MOEA-D-DCWV

 MOEA/D with distribution control of weight vector set

![](https://img.shields.io/github/languages/code-size/tomtkg/MOEA-D-DCWV)

![](https://img.shields.io/github/last-commit/tomtkg/MOEA-D-DCWV)

## Sample image of weight vector set

||||

|:-:|:-:|:-:|

|![image](image/M2_1.svg)|![image](image/M2_2.svg)|![image](image/M2_3.svg)|

|Two-objective problems,
parameter p=1/4|Two-objective problems,
parameter p=2/4|Two-objective  problems,
parameter p=3/4|

|![image](image/M3_1.svg)|![image](image/M3_2.svg)|![image](image/M3_3.svg)|

|Three-objective problems,
parameter p=1/6|Three-objective problems,
parameter p=2/6|Three-objective  problems,
parameter p=3/6|

## How to use

This algorithm works with the [PlatEMO](https://github.com/BIMK/PlatEMO). And the algorithm is implemented in the PlatEMO.  

It is located at ["PlatEMO/Algorithms/Multi-objective optimization/MOEA-D-DCWV"](https://github.com/BIMK/PlatEMO/tree/master/PlatEMO/Algorithms/Multi-objective%20optimization/MOEA-D-DCWV).

## Reference

Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato: **A Distribution Control of Weight Vector Set for Multi-objective Evolutionary Algorithms**,  Proc. of the Bio-inspired Information and Communication Technologies (BICT2019), Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST), Vol. 289, Springer, Cham, pp. 70--80, 2019. [DOI](https://doi.org/10.1007/978-3-030-24202-2_6).