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A Dual Surrogate-based Evolutionary Algorithm for High-Dimensional Expensive Multiobjective Optimization Problems

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YNU-NakataLab/DSEA-D

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DSEA-D

-This is an open source code of DSEA/D 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 DSEA/D source code to "Algorithms/Multi-objective optimization".

  3. Run "platemo.m" and select DSEA/D on GUI.

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

Copyright

The Copyright of the DSEA/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, A Dual Surrogate-based Evolutionary Algorithm for High-Dimensional Expensive Multiobjective Optimization Problems, 2024 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2024, Accepted".

@inproceedings{horaguchi2024dual,
  title={{A Dual Surrogate-based Evolutionary Algorithm for High-Dimensional Expensive Multiobjective Optimization Problems}},
  author={Horaguchi, Yuma and Nakata, Masaya},
  booktitle={2024 IEEE Congress on Evolutionary Computation (CEC)},
  pages={},
  month={},
  year={2024},
  publisher={IEEE}
  doi={}
}

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