-This is an open source code of MCEA/D implemented by MATLAB.
-You can easily use this code on Evolutionary multi-objective optimization platform (PlatEMO) on MATLAB.
-
Download PlatEMO from here.
-
Add MCEA/D source code to "Algorithms/Multi-objective optimization".
-
Run "platemo.m" and select MCEA/D on GUI.
-
Determine the experimental settings and push "Start" button.
The Copyright of the MCEA/D belongs to the Nakata Lab from Yokohama National University, Japan. You are free to use this code for research purposes. Please refer the following article: "Takumi Sonoda, Masaya Nakata, Multiple Classifiers-Assisted Evolutionary Algorithm Based on Decomposition for High-Dimensional Multiobjective Problems, IEEE Transactions on Evolutionary Computation, IEEE, March 2022, 26(6): 1581-1595".
@article{sonoda2022multiple,
title={{Multiple Classifiers-Assisted Evolutionary Algorithm Based on Decomposition for High-Dimensional Multiobjective Problems}},
author={Sonoda, Takumi and Nakata, Masaya},
journal={IEEE Transactions on Evolutionary Computation},
volume={26},
number={6},
pages={1581--1595},
month={March},
year={2023},
publisher={IEEE}
doi={10.1109/TEVC.2022.3159000}
}