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.
| Original language | English |
|---|---|
| Pages (from-to) | 2731-2734 |
| Number of pages | 4 |
| Journal | IEEE Antennas and Propagation Society, AP-S International Symposium (Digest) |
| Volume | 3 |
| Publication status | Published - 2004 |
| Externally published | Yes |