A Comparative Study of Evolutionary Programming, Genetic Algorithms and Particle Swarm Optimization in Antenna Design.
In this work, we present a statistical comparative study of the applications of EP, GA, micro-GA and PSO to two classical antenna problems, namely the gain optimization of Yagi-Uda array and the side-lobe-level reduction of a non-uniform spaced (aperiodic) linear array. The convergences of these algorithms for both best and average fitness trajectories are compared. In addition the performances of GAs, micro-GA with both single and uniform cross-over, and PSO with absorbing, invisible and reflective boundaries are discussed and included in the comparison.
| Main Author: | Huang, Hui. |
|---|---|
| Other Authors: | Hoorfar, Ahmad., Lakhani, Shamsha. |
| Format: | |
| Language: | English |
| Published: |
2007
|
| Online Access: |
http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:176914 |