title: A particle swarm optimizer with passive congregation.
abstract: This paper presents a particle swarm optimizer (PSO) with passive congregation to improve the performance of standard PSO (SPSO). Passive congregation is an important biological force preserving swarm integrity. By introducing passive congregation to PSO, information can be transferred among individuals of the swarm. A particle swarm optimizer with passive congregation (PSOPC) is tested with a set of 10 benchmark functions with 30 dimensions and compared to a global version of SPSO (GSPSO), a local version of SPSO (LSPSO), and PSO with a constriction factor (CPSO), respectively. Experimental results indicate that the PSO with passive congregation improves the search performance on the benchmark functions significantly.
authors.affiliation: Department of Electrical Engineering and Electronics, The University of Liverpool, Liverpool L69 3GJ, UK.
authors.forename: S
authors.initials: S
authors.lastname: He
authors.forename: Q H
authors.initials: QH
authors.lastname: Wu
authors.forename: J Y
authors.initials: JY
authors.lastname: Wen
authors.forename: J R
authors.initials: JR
authors.lastname: Saunders
authors.forename: R C
authors.initials: RC
authors.lastname: Paton
mesh_terms: D000465:Algorithms; D008962:Models, Theoretical