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Bare bones particle swarms with jumps

Bare bones particle swarms with jumps

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)

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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 / Department / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > Centre for Computer & Computational Science
Faculty of Liberal Arts & Sciences > School of Computing & Mathematical Sciences (CAM)
Last Modified: 21 Jul 2021 21:36
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/21030

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