A multi-strategy surrogate-assisted social learning particle swarm optimization for expensive optimization and applications-Reference-Cited by-同舟云学术

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A multi-strategy surrogate-assisted social learning particle swarm optimization for expensive optimization and applications

Published:2024-09 Issue: Volume:162 Page:111876
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Chu Shu-Chuan^ORCID,Yuan Xu^ORCID,Pan Jeng-Shyang^ORCID,Lin Bor-Shyh,Lee Zne-Jung

Publisher

Elsevier BV

Reference66 articles.

1. Particle swarm optimization;Kennedy,1995

2. A method for analyzing stackelberg attack–defense game model in 5G by tCPSO;Liu;Expert Syst. Appl.,2023

3. Dynamic hybrid mechanism-based differential evolution algorithm and its application;Song;Expert Syst. Appl.,2023

4. Multi population-based chaotic differential evolution for multi-modal and multi-objective optimization problems;Rauf;Appl. Soft Comput.,2023

5. A two-stage hybrid ant colony optimization for high-dimensional feature selection;Ma;Pattern Recognit.,2021

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1. A survey of surrogate-assisted evolutionary algorithms for expensive optimization;Journal of Membrane Computing;2024-08-13

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