Clan Particle Swarm Optimization

Danilo F. Carvalho, Carmelo J.A. Bastos-Filho

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

21 Citaten (Scopus)

Samenvatting

Particle Swarm Optimization (PSO) has been used to solve many different types of optimization problems. By applying PSO to problems where the feasible solutions are too much difficult to find, new ways of solving the problems are required. Many variations on the basic PSO form have been explored, targeting the velocity update equation. Other approaches attempt to change the structure of the swarm. In this paper a Clan PSO topology is proposed for improving the PSO degree of convergence focusing on the distribution of the particles in the search space. A comparison with star, ring, and Four Clusters topologies was performed. Our simulation results have shown that the proposed topology achieves better degrees of convergence than the cluster-based one.

Originele taal-2Engels
Titel2008 IEEE Congress on Evolutionary Computation, CEC 2008
Pagina's3044-3051
Aantal pagina's8
DOI's
StatusGepubliceerd - 14 nov 2008
Extern gepubliceerdJa
Evenement2008 IEEE Congress on Evolutionary Computation, CEC 2008 - Hong Kong, China
Duur: 1 jun 20086 jun 2008

Publicatie series

Naam2008 IEEE Congress on Evolutionary Computation, CEC 2008

Congres

Congres2008 IEEE Congress on Evolutionary Computation, CEC 2008
Land/RegioChina
StadHong Kong
Periode1/06/086/06/08

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