Particle swarm with self-organized criticality
Carlos M. C. Fernandes, Juan Julián Merelo, Agostinho C. Rosa, F.V. Fernández · 2012
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.