Extending particle swarm optimisation via genetic programming

Authors:
Riccardo Poli;William B. Langdon;Owen Holland
Affiliations:
Department of Computer Science, University of Essex, UK;Department of Computer Science, University of Essex, UK;Department of Computer Science, University of Essex, UK
Venue:
EuroGP'05 Proceedings of the 8th European conference on Genetic Programming
Year:
2005

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Abstract

Particle Swarm Optimisers (PSOs) search using a set of interacting particles flying over the fitness landscape. These are typically controlled by forces that encourage each particle to fly back both towards the best point sampled by it and towards the swarm's best. Here we explore the possibility of evolving optimal force generating equations to control the particles in a PSO using genetic programming.