Skip navigation

An investigation into the merger of stochastic diffusion search and particle swarm optimisation

An investigation into the merger of stochastic diffusion search and particle swarm optimisation

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)

[img]
Preview
PDF (Author Accepted Manuscript)
21044 AL-RIFAIE_Stochastic_Diffusion_Search_and Particle_Swarm_Optimisation_2011.pdf - Draft Version

Download (238kB) | Preview

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 / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Department of Computing & Information Systems
Last Modified: 13 Aug 2018 11:03
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/21044

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics