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Improved exploration and exploitation in particle swarm optimization

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Tamayo-Vera, D, Chen, S, Bolufe-Rohler, A, Montgomery, J

and Hendtlass, T 2018 , 'Improved exploration and exploitation in particle swarm optimization', in M Mouhoub and S Sadaoui and OA Mohamed and M Ali (eds.), Recent Trends and Future Technology in Applied Intelligence LNAI 10868 , Springer, pp. 1-13 , doi: https://doi.org/10.1007/978-3-319-92058-0_41.

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Official URL: https://doi.org/10.1007/978-3-319-92058-0_41

Abstract

Exploration and exploitation are analyzed in Particle Swarm Optimization (PSO) through a set of experiments that make new measurements of these key features. Compared to analyses on diversity and particle trajectories, which focus on particle motions and their potential to achieve exploration and exploitation, our analysis also focuses on the pbest positions that reflect the actual levels of exploration and exploitation that have been achieved by PSO. A key contribution of this paper is a clear criterion for when restarting particles can be expected to be a useful strategy in PSO.

Item Type:	Conference Publication
Authors/Creators:	Tamayo-Vera, D and Chen, S and Bolufe-Rohler, A and Montgomery, J and Hendtlass, T
Keywords:	exploration, exploitation, particle swarm optimization, multi-modal search spaces
Journal or Publication Title:	Recent Trends and Future Technology in Applied Intelligence LNAI 10868
Publisher:	Springer
DOI / ID Number:	https://doi.org/10.1007/978-3-319-92058-0_41
Copyright Information:	Copyright 2018 Springer
Related URLs:	Google Scholar: Montgomery, J UTAS Profile: Montgomery, J
Item Statistics:	View statistics for this item

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