Research on hybrid strategy Particle Swarm Optimization algorithm and its applications
Research on hybrid strategy Particle Swarm Optimization algorithm and its applications
About this item
Full title
Author / Creator
Yao, Jicheng , Luo, Xiaonan , Li, Fang , Li, Ji , Dou, Jundi and Luo, Hongtai
Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
The increasing complexity and high-dimensional nature of real-world optimization problems necessitate the development of advanced optimization algorithms. Traditional Particle Swarm Optimization (PSO) often faces challenges such as local optima entrapment and slow convergence, limiting its effectiveness in complex tasks. This paper introduces a nov...
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Full title
Research on hybrid strategy Particle Swarm Optimization algorithm and its applications
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_446a459d7e84457ba9f07caa68433edb
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_446a459d7e84457ba9f07caa68433edb
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-76010-y
