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: Villanova Faculty Authorship
Language: English
Published: 2007
Online Access: http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:176914