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Improved exploration and exploitation in particle swarm optimization


Tamayo-Vera, D and Chen, S and Bolufe-Rohler, A and Montgomery, J and Hendtlass, T, Improved exploration and exploitation in particle swarm optimization, Proceedings of the 31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, 25-28 June 2018, Montreal, Canada, pp. 421-433. ISBN 9783319920573 (2018) [Refereed Conference Paper]

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Copyright 2018 Springer

DOI: doi:10.1007/978-3-319-92058-0_41


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 Details

Item Type:Refereed Conference Paper
Keywords:exploration, exploitation, particle swarm optimization, multi-modal search spaces
Research Division:Information and Computing Sciences
Research Group:Machine learning
Research Field:Neural networks
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the information and computing sciences
UTAS Author:Montgomery, J (Dr James Montgomery)
ID Code:126793
Year Published:2018
Web of Science® Times Cited:5
Deposited By:Information and Communication Technology
Deposited On:2018-06-25
Last Modified:2022-09-01

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