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Improved exploration and exploitation in particle swarm optimization
Citation
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]
Copyright Statement
Copyright 2018 Springer
DOI: doi: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 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 |
| Downloads: | 0 |
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