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.
|Number of pages||4|
|Journal||IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)|
|Publication status||Published - 2004|