The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Transactions ID Number: 29-756
Full Name: Milan Rapaić
Position: Assistant
Age: ON
Sex: Male
Address: Trg Dositeja Obradovića 6, 21000 Novi Sad
Country: YUGOSLAVIA
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E-mail address: rapaja@uns.ac.rs
Other E-mails: repmilan@gmail.com, kanovic@uns.ac.rs
Title of the Paper: A theoretical and empirical analysis of convergence related particle swarm optimization
Authors as they appear in the Paper: Milan R. Rapaić, Željko Kanović, Zoran Jeličić
Email addresses of all the authors: rapaja@uns.ac.rs, kanovic@uns.ac.rs, jelicic@uns.ac.rs
Number of paper pages: 10
Abstract: In this paper an extensive theoretical and empirical analysis of recently introduced Particle Swarm Optimization algorithm with Convergence Related parameters (CR-PSO) is presented. The convergence of the classical PSO algorithm is addressed in detail. The conditions that should be imposed on parameters of the algorithm in order for it to converge in mean-square have been derived. The practical implications of these conditions have been discussed. Based on these implications a novel, recently proposed parameterization scheme for the PSO has been introduced. The novel optimizer is tested on an extended set of benchmarks and the results are compared to the PSO with time-varying acceleration coefficients (TVAC-PSO) and the standard genetic algorithm (GA).
Keywords: Global optimization, Swarm intelligence, Evolutionary computation, Particle swarm optimization (PSO), Algorithm analysis
EXTENSION of the file: .doc
Special (Invited) Session: An empirical analysis of convergence related particle swarm optimization
Organizer of the Session: 617-343
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