-This is an open source code of SFA/DE 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/DE source code to "Algorithms/Multi-objective optimization".
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Run "platemo.m" and select SFA/DE on GUI.
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Determine the experimental settings and push "Start" button.
The Copyright of the SFA/DE 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, Kei Nishihara, Masaya Nakata, Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems, Swarm and Evolutionary Computation, Elsevier, Aplil 2024, 86: 101516".
@article{horaguchi2024evolutionary,
title={{Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems}},
author={Horaguchi, Yuma and Nishihara, Kei and Nakata, Masaya},
journal={Swarm and Evolutionary Computation},
volume={86},
pages={101516},
month={April},
year={2024},
publisher={Elsevier}
doi={10.1016/j.swevo.2024.101516}
}