MCEA/D

-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.

How to run

1. Download PlatEMO from here.

2. Add MCEA/D source code to "Algorithms/Multi-objective optimization".

3. Run "platemo.m" and select MCEA/D on GUI.

4. Determine the experimental settings and push "Start" button.

Copyright

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}
}