-This is an open source code of DR-MCEA/D implemented by MATLAB.
-You can easily use this code on Evolutionary multi-objective optimization platform (PlatEMO) on MATLAB.
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Download PlatEMO from here.
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Add DR-MCEA/D source code to "Algorithms/Multi-objective optimization".
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Run "platemo.m" and select DR-MCEA/D on GUI.
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Determine the experimental settings and push "Start" button.
The Copyright of the DR-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: "Yuma Horaguchi, Masaya Nakata, High-Dimensional Expensive Optimization by Classification-based Multiobjective Evolutionary Algorithm with Dimensionality Reduction, 2023 62nd Annual Conference of the Society of Instrument and Control Engineers (SICE), IEEE, September 2023, 1535-1542".
@inproceedings{horaguchi2023high,
title={{High-Dimensional Expensive Optimization by Classification-based Multiobjective Evolutionary Algorithm with Dimensionality Reduction}},
author={Horaguchi, Yuma and Nakata, Masaya},
booktitle={2023 62nd Annual Conference of the Society of Instrument and Control Engineers (SICE)},
pages={1535--1542},
month={September},
year={2023},
publisher={IEEE}
doi={10.23919/SICE59929.2023.10354103}
}