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

Authors:
Mohammad Majid al-Rifaie;Mark John Bishop;Tim Blackwell
Affiliations:
Goldsmiths College, University of London, London, United Kingdom;Goldsmiths College, University of London, London, United Kingdom;Goldsmiths College, University of London, London, United Kingdom
Venue:
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Year:
2011

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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.