al-Rifaie, Mohammad Majid ORCID: 0000-0002-1798-9615 and Blackwell, Tim (2012) Bare bones particle swarms with jumps. In: Swarm Intelligence 8th International Conference, ANTS 2012, Brussels, Belgium, September 12-14, 2012. Proceedings. Lecture Notes in Computer Science book series (LNCS), 7461 . Springer, Berlin, Germany, pp. 49-60. ISBN 978-3642326493 ISSN 0302-9743 (Print), 1611-3349 (Online) (doi:https://doi.org/10.1007/978-3-642-32650-9_5)

Preview

PDF (Author's Accepted Manuscript) 21030 AL-RIFAEI_Bare_bones_particle_swarms_with_jumps.pdf - Accepted Version Download (316kB) | Preview

Abstract

Bare Bones PSO was proposed by Kennedy as a model of PSO dynamics. Dependence on velocity is replaced by sampling from a Gaussian distribution. Although Kennedy’s original formulation is not competitive to standard PSO, the addition of a component-wise jumping mechanism, and a tuning of the standard deviation, can produce a comparable optimisation algorithm. This algorithm, Bare Bones with Jumps, exists in a variety of formulations. Two particular models are empirically examined in this paper and comparisons are made to canonical PSO and standard Bare Bones.

Item Type:	Conference Proceedings
Title of Proceedings:	Swarm Intelligence 8th International Conference, ANTS 2012, Brussels, Belgium, September 12-14, 2012. Proceedings
Uncontrolled Keywords:	Bare bones particle swarms, restart, jump, PSO
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Liberal Arts & Sciences > Computational Science & Engineering Group (CSEH) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Last Modified:	04 Mar 2022 13:08
URI:	http://gala.gre.ac.uk/id/eprint/21030

Actions (login required)

View Item

Downloads