Particle swarm optimisation with modified global search and local search exemplars for large-scale optimisation

Minchong Chen, Hong Li, Qi Yu and Xuejing Hou

International Journal of Complexity in Applied Science and Technology, 2025, vol. 1, issue 4, 301-329

Abstract: Canonical particle swarm optimisation (cPSO) has been criticised for its premature convergence when tackling large-scale optimisation problems (LSOPs). During optimisation, the swarm diversity of cPSO rapidly decays, leading to its poor global search performance. To improve the global search ability of cPSO, a particle swarm optimisation with modified global search and local search exemplars (PSO-MGLE) is proposed. In PSO-MGLE, two novel exemplar selection strategies are designed to diversify the selection of global search and local search exemplars for updated particles, thereby preserving high swarm diversity. Second, a dynamic adjustment strategy for the acceleration coefficient is designed to encourage the swarm to prioritise the global search at the early stage while emphasising the local search at the later stage. PSO-MGLE is tested on the 2022 benchmark suite, scaled to 500, 1,000, and 2,000 dimensions. Experimental results demonstrate the competitive performance and good scalability of PSO-MGLE in comparison with seven state-of-the-art approaches.

Keywords: particle; swarm; optimisation;; PSO;; large-scale; optimisation;; global; search;; local; search;; swarm; diversity. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=147066 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijcast:v:1:y:2025:i:4:p:301-329

Access Statistics for this article

More articles in International Journal of Complexity in Applied Science and Technology from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().