Particle swarm with self-organized criticality

Authors:
Carlos Miguel Fernandes;Juan Merelo;Agostinho Rosa;Francisco Fernández
Affiliations:
Technical University of Lisbon, Lisbon, Portugal;University of Granada, Granada, Spain;Technical University of Lisbon, Lisbon, Portugal;University of Extremadura, Merida, Spain
Venue:
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Year:
2012

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Abstract

This paper introduces a strategy for controlling the parameters of the Particle Swarm Optimization (PSO) based on a Self-Organized Criticality (SOC) system known as the Bak-Sneppen model of co-evolution. An experimental setup compares the new algorithm with a state-of-the-art PSO with dynamic variation of the inertia weight value and perturbation of the particles' positions.