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An Investigation into the Merger of Stochastic Diffusion Search and Particle Swarm Optimisation

al-Rifaie, Mohammad Majid; Bishop, Mark (J. M.) and Blackwell, Tim M.. 2011. An Investigation into the Merger of Stochastic Diffusion Search and Particle Swarm Optimisation. GECCO-2011: Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, pp. 37-44. [Article]

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Abstract or Description

This study reports early research aimed at applying the powerful resource allocation mechanism deployed in Stochastic Diffusion Search (SDS) to the Particle Swarm Optimiser (PSO) metaheuristic, 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: Article
Identification Number (DOI): 10.1145/2001576.2001583
Keywords: particle swarm optimisation, stochastic diffusion search, metaheuristic
Departments, Centres and Research Units: Computing
Item ID: 6884
Date Deposited: 30 Apr 2012 10:47
Last Modified: 06 Jun 2016 13:30
URI: http://research.gold.ac.uk/id/eprint/6884

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