Clan Particle Swarm Optimization

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

21 Citations (Scopus)


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.

Original languageEnglish
Title of host publication2008 IEEE Congress on Evolutionary Computation, CEC 2008
Number of pages8
Publication statusPublished - 14 Nov 2008
Externally publishedYes
Event2008 IEEE Congress on Evolutionary Computation, CEC 2008 - Hong Kong, China
Duration: 1 Jun 20086 Jun 2008

Publication series

Name2008 IEEE Congress on Evolutionary Computation, CEC 2008


Conference2008 IEEE Congress on Evolutionary Computation, CEC 2008
CityHong Kong


Dive into the research topics of 'Clan Particle Swarm Optimization'. Together they form a unique fingerprint.

Cite this