Particle Swarm Optimization with Flexible Swarm for Unconstrained Optimization
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2013, Vol 1, Issue 1
Abstract
Particle Swarm Optimization (PSO) algorithm inspired from behaviour of bird flocking and fish schooling. It is well-known algorithm which has been used in many areas successfully. However it sometimes suffers from premature convergence. In resent year’s researches have been introduced a various approaches to avoid of this problem. This paper presents the particle swarm optimization algorithm with flexible swarm (PSO-FS). The new algorithm was evaluated on 14 functions often used to benchmark the performance of optimization algorithms. PSO-FS algorithm was compared to some other modifications of PSO. The results show that PSO-FS always performed one of the better results.
Authors and Affiliations
Humar Kahramanlı*| Faculty of Technology, Selcuk University Campus,Konya,Turkey. Tel: +90 332 2233330; E-mail:hkahramanli@selcuk.edu.tr, N. Allahverdi| Faculty of Technology, Selcuk University Campus,Konya,Turkey. Tel: +90 332 2233329; E-mail:noval@selcuk.edu.tr
Keywords
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