-This is an open source code of SFA/MFDE 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 SFA/MFDE source code to "Algorithms/Multi-objective optimization".
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Run "platemo.m" and select SFA/MFDE on GUI.
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Determine the experimental settings and push "Start" button.
The Copyright of the SFA/MFDE 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 Multiobjective Optimization Using a Surrogate-Assisted Multifactorial Evolutionary Algorithm, The Genetic and Evolutionary Computation Conference (GECCO), ACM, July 2025, 572-580".
@inproceedings{horaguchi2025high,
title={{High-Dimensional Expensive Multiobjective Optimization Using a Surrogate-Assisted Multifactorial Evolutionary Algorithm}},
author={Horaguchi, Yuma and Nakata, Masaya},
booktitle={The Genetic and Evolutionary Computation Conference (GECCO)},
pages={572--580},
month={July},
year={2025},
publisher={ACM},
doi={10.1145/3712256.3726483}
}