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]
Official URL: http://dl.acm.org/citation.cfm?id=2001583
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.