Al-Rifaie, Mohammad Majid ORCID: 0000-0002-1798-9615 , Bishop, Mark John and Blackwell, Tim (2011) An investigation into the merger of stochastic diffusion search and particle swarm optimisation. In: Proceedings of the 13th annual conference on Genetic and evolutionary computation. GECCO '11 . ACM, New York, NY, USA, pp. 37-44. ISBN 978-1-4503-0557-0 (doi:https://doi.org/10.1145/2001576.2001583)

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Abstract

This study reports early research aimed at applying the powerful resource allocation mechanism deployed in Stochastic Diffusion Search (SDS) [4] to the Particle Swarm Optimiser (PSO) metaheuristic [22], effectively merging the two swarm intelligence algorithms. The results reported herein suggest that the hybrid algorithm, exploiting information sharing between particles, has the potential to improve the optimisation capability of conventional PSOs.

Item Type:	Conference Proceedings
Title of Proceedings:	Proceedings of the 13th annual conference on Genetic and evolutionary computation
Additional Information:	GECCO-2011 was held from 12-16 July 2011, Dublin, Ireland.
Uncontrolled Keywords:	metaheuristic, pso, sds
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	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/21044

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