SFA-DE

-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.

How to run

1. Download PlatEMO from here.

2. Add SFA/DE source code to "Algorithms/Multi-objective optimization".

3. Run "platemo.m" and select SFA/DE on GUI.

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

Copyright

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}
}