Title :
A comparative study of evolutionary programming, genetic algorithms and particle swarm optimization in antenna design
Author :
Huang, Hui ; Hoorfar, Ahmad ; Lakhani, Shamsha
Author_Institution :
Villanova Univ., Villanova
Abstract :
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.
Keywords :
Yagi antenna arrays; genetic algorithms; linear antenna arrays; particle swarm optimisation; Yagi-Uda array; antenna design; evolutionary programming; genetic algorithms; nonuniform spaced linear array; particle swarm optimization; sidelobe-level reduction; Algorithm design and analysis; Evolutionary computation; Genetic algorithms; Genetic mutations; Genetic programming; Linear antenna arrays; Microwave antennas; Optimization methods; Particle swarm optimization; Yagi-Uda antennas;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2007 IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-0877-1
Electronic_ISBN :
978-1-4244-0878-8
DOI :
10.1109/APS.2007.4395818
