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EGES: Surrogate-assisted Efficient Grouping Evolutionary Search

This repository contains the official implementation of the algorithm presented in our paper:

Huixiang Zhen, Wenyin Gong, Ling Wang, and Xiangyun Hu. "Surrogate-assisted Efficient Grouping Evolutionary Search for Expensive Large-Scale Multi-Objective Optimization", IEEE Transactions on Evolutionary Computation, 2025 (Accepted).

Repository Structure

  • /EGES - The main MATLAB source code for our EGES algorithm.
  • /PlatEMO-master - The PlatEMO framework, providing the operating environment.

Contact

This MATLAB code was developed by Huixiang Zhen from the School of Computer Science, China University of Geosciences.

For questions, comments, or bug reports, please contact: zhenhuixiang@cug.edu.cn

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Surrogate-assisted efficient grouping evolutionary search for expensive large-scale multi-objective optimization

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