-This is an open source code of MOEA-OGS 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 NSG-II-OGS and IBEA-OGS source code to "Algorithms/Multi-objective optimization".
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Run "platemo.m" and select NSGA-II-OGS or IBEA-OGS on GUI.
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Determine the experimental settings and push "Start" button.
The Copyright of the MOEA-OGS 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: "Norihiro Kimoto, Yuma Horaguchi, Masaya Nakata, Oversampling-Guided Search for Evolutionary Multiobjective Optimization, 2024 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2024".
@inproceedings{kimoto2024oversampling,
title={{Oversampling-Guided Search for Evolutionary Multiobjective Optimization}},
author={Kimoto, Norihito and Horaguchi, Yuma and Nakata, Masaya},
booktitle={2024 IEEE Congress on Evolutionary Computation (CEC)},
pages={1--8},
month={Jluy},
year={2024},
publisher={IEEE},
doi={10.1109/CEC60901.2024.10612066}
}