Parameter selection in particle swarm optimisation: a survey

Citation

Rezaee Jordehi, Ahmad Rezaee and Jasni, Jasronita (2013) Parameter selection in particle swarm optimisation: a survey. Journal of Experimental and Theoretical Artificial Intelligence, 25 (4). pp. 527-542. ISSN 0952-813X; ESSN: 1362-3079

Abstract

Nowadays, particle swarm optimisation (PSO) is one of the most commonly used optimisation techniques. However, PSO parameters significantly affect its computational behaviour. That is, while it exposes desirable computational behaviour with some settings, it does not behave so by some other settings, so the way for setting them is of high importance. This paper explains and discusses thoroughly about various existent strategies for setting PSO parameters, provides some hints for its parameter setting and presents some proposals for future research on this area. There exists no other paper in literature that discusses the setting process for all PSO parameters. Using the guidelines of this paper can be strongly useful for researchers in optimisation-related fields.

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Additional Metadata

Item Type:	Article
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1080/0952813X.2013.782348
Publisher:	Taylor & Francis
Keywords:	Particle swarm optimisation; Artificial intelligence; Optimisation; Parameter selection
Depositing User:	Nabilah Mustapa
Date Deposited:	16 Mar 2015 03:27
Last Modified:	30 Oct 2015 03:14
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1080/0952813X.2013.782348
URI:	http://psasir.upm.edu.my/id/eprint/28729
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