Particle swarm optimization is here applied to the design of microwave microstrip line filter. A friction factor is introduced to slow down particles and speed up convergence, as well as a sort of "implicit restart". A comparison with Genetic Algorithms is also presented.
Particle swarm optimization of microwave microstrip filters / L. Matekovits;M. Mussetta;P. Pirinoli;S. Selleri;R.E. Zich. - STAMPA. - 3:(2004), pp. 2731-2734. (Intervento presentato al convegno IEEE Antennas and Propagation Society Symposium, 2004. tenutosi a Monterey, CA nel 20-25 June 2004;) [10.1109/APS.2004.1331939].
Particle swarm optimization of microwave microstrip filters
SELLERI, STEFANO;
2004
Abstract
Particle swarm optimization is here applied to the design of microwave microstrip line filter. A friction factor is introduced to slow down particles and speed up convergence, as well as a sort of "implicit restart". A comparison with Genetic Algorithms is also presented.
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