Particle Swarm Optimization with Flexible Swarm for Unconstrained Optimization

Humar Kahramanlı, Novruz Allahverdi
  • Novruz Allahverdi
    Selcuk University, Turkey


Particle Swarm Optimization (PSO) algorithm inspired from behavior 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.


Particle Swarm Optimization Algorithm;Particle Swarm Optimization Algorithm with Flexible Swarm; Unconstrained Optimization

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Submitted: 2013-02-24 17:36:55
Published: 2013-03-11 20:57:02
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© Prof.Dr. Ismail SARITAS 2013-2019     -    Address: Selcuk University, Faculty of Technology 42031 Selcuklu, Konya/TURKEY.