Meta-PSO has been recently developed as an enhancement of the Particle Swarm Optimization (PSO) method and it has been proposed to be applied to different electromagnetic optimization problems. Because of the complexity of this kind of problems, the associated cost function is in general computationally expensive. A fast convergence of the optimization algorithm is hence required to attain results in short time. The variations proposed over the standard algorithm, referred to as Undifferentiated and Differentiated Meta-PSO, aimed to enhance the global search capability, and to improve the algorithm convergence, are introduced. In order to assess their effectiveness, the different techniques have been applied the optimization of a planar array.
Performance assessment of meta-PSO on EM optimization problems / S. Selleri; M. Mussetta; P. Pirinoli; R.E. Zich; L. Matekovits. - STAMPA. - (2008), pp. 370-373. (Intervento presentato al convegno HUT-ICCE 2008 - 2nd International Conference on Communications and Electronics tenutosi a HoiAn, Vietnam nel 4-6 June 2008) [10.1109/CCE.2008.4578989].
Performance assessment of meta-PSO on EM optimization problems
SELLERI, STEFANO;
2008
Abstract
Meta-PSO has been recently developed as an enhancement of the Particle Swarm Optimization (PSO) method and it has been proposed to be applied to different electromagnetic optimization problems. Because of the complexity of this kind of problems, the associated cost function is in general computationally expensive. A fast convergence of the optimization algorithm is hence required to attain results in short time. The variations proposed over the standard algorithm, referred to as Undifferentiated and Differentiated Meta-PSO, aimed to enhance the global search capability, and to improve the algorithm convergence, are introduced. In order to assess their effectiveness, the different techniques have been applied the optimization of a planar array.
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