An empirical analysis of convergence related particle swarm optimization

Authors:
Milan R. Rapaić;Željko Kanović;Zoran D. Jeličić
Affiliations:
Automation and Control Systems Department, University of Novi Sad, Novi Sad, Serbia;Automation and Control Systems Department, University of Novi Sad, Novi Sad, Serbia;Automation and Control Systems Department, University of Novi Sad, Novi Sad, Serbia
Venue:
MMACTEE'09 Proceedings of the 11th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
Year:
2009

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Abstract

In this paper an extensive empirical analysis of recently introduced Particle Swarm Optimization algorithm with Convergence Related parameters (CR-PSO) is presented. The algorithm is tested on 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).