Multi-ring particle swarm optimization

Carmelo J.A. Bastos-Filho, Marcel P. Caraciolo, Péricles B.C. Miranda, Danilo F. Carvalho

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

8 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, mainly for hyper dimensional spaces. 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 novel PSO topology based on multiples rings is proposed for improving the results achieved focusing on the diversity provided by the ring rotations. A comparison with star and ring topologies was performed. Our simulation results have shown that the proposed topology achieves better results than the well known star and ring topologies.

Original languageEnglish
Title of host publication2008 10th Brazilian Symposium on Neural Networks
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Print)978-1-4244-3219-6
Publication statusPublished - 5 Nov 2008
Externally publishedYes
Event10th Brazilian Symposium on Neural Networks, SBRN 2008 - Salvador, Brazil
Duration: 26 Oct 200830 Oct 2008
Conference number: 10


Conference10th Brazilian Symposium on Neural Networks, SBRN 2008
Abbreviated titleSBRN 2008


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