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

al-Rifaie, Mohammad Majid; Bishop, Mark (J. M.) and Blackwell, Tim. 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):

https://doi.org/10.1145/2001576.2001583

Keywords:

particle swarm optimisation, stochastic diffusion search, metaheuristic

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
2011Published

Item ID:

6884

Date Deposited:

30 Apr 2012 10:47

Last Modified:

12 Oct 2023 13:19

Peer Reviewed:

Yes, this version has been peer-reviewed.

URI:

https://research.gold.ac.uk/id/eprint/6884

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