Dynamic, hierarchical particle swarm optimisation

Kenny, Ian (2008). Dynamic, hierarchical particle swarm optimisation. Technical Report 2008/09; Department of Computing, The Open University.

DOI: https://doi.org/10.21954/ou.ro.00016109

Abstract

Particle Swarm Optimisation (PSO) is an optimisation technique based on the principle of social influence. It has been applied successfully on a wide range of optimisation problems. This paper considers the possibility of a dynamic hierarchical extension to the particle swarm technique, allowing the swarm to consider several related datasets. This provides the advantage of being able to consider several data scans and aggregate the results into a master swarm model.

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