%0 Journal Article
%T Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm Optimization
%A Munish Rattan
%A Manjeet Singh Patterh
%A B. S. Sohi
%J International Journal of Antennas and Propagation
%D 2008
%I Hindawi Publishing Corporation
%R 10.1155/2008/193242
%X Particle swarm optimization (PSO) is a new, high-performance evolutionary technique, which has recently been used for optimization problems in antennas and electromagnetics. It is a global optimization technique-like genetic algorithm (GA) but has less computational cost compared to GA. In this paper, PSO has been used to optimize the gain, impedance, and bandwidth of Yagi-Uda array. To evaluate the performance of designs, a method of moments code NEC2 has been used. The results are comparable to those obtained using GA.
%U http://www.hindawi.com/journals/ijap/2008/193242/