Improved Particle Swarm Optimization algorithms for electromagnetic optimization

Authors:
Marco Mussetta;Stefano Selleri;Paola Pirinoli;Riccardo E. Zich;Ladislau Matekovits
Affiliations:
(Correspd.) DEE, Politecnico di Milano p. Leonardo da Vinci 32 - 20133 Milano, Italy. E-mail: marco.mussetta@polimi.it, riccardo.zich@etec.polimi.it;DET, University of Florence Via C. Lombroso 6/17 50134 Florence, Italy. E-mail: stefano.selleri@unifi.it;DEE, Politecnico di Torino, c. Duca degli Abruzzi 24, 10129 Torino, Italy. E-mail: {paola.pirinoli,ladislau.matekovits}@polito.it;DEE, Politecnico di Milano p. Leonardo da Vinci 32 - 20133 Milano, Italy. E-mail: marco.mussetta@polimi.it, riccardo.zich@etec.polimi.it;DEE, Politecnico di Torino, c. Duca degli Abruzzi 24, 10129 Torino, Italy. E-mail: {paola.pirinoli,ladislau.matekovits}@polito.it
Venue:
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Soft Computing and Applications
Year:
2008

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Abstract

Particle Swarm is a relatively novel approach for global stochastic optimization. In this paper some variations over the basic algorithm are proposed, with the aim of a more efficient search over the solution space obtained with a negligible overhead in both complexity and speed. The presented algorithms are then applied to a mathematical test function and to a microwave microstrip filter to show their superior capabilities with respect to the conventional version.