Particle swarm optimization of microwave microstrip filters
Ladislau Matekovits, Marco Mussetta, Paola Pirinoli, Stefano Selleri, Riccardo Enrico Zich · 2004
Particle swarm optimization is here applied to the design of a 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.