Information sharing strategy among particles in Particle Swarm Optimization using Laplacian operator

Abstract

Particle Swarm Optimization (PSO) has been extensively used in recent years for the optimization of nonlinear optimization problems. Two of the most popular variants of PSO are PSO-W (PSO with inertia weight) and PSO-C (PSO with constriction factor). Typically particles in swarm use information from global best performing particle, gbest and their own… (More)
DOI: 10.1109/SIS.2009.4937841

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