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International Journal of Antennas and Propagation
Volume 2008 (2008), Article ID 193242, 4 pages
Research Article

Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm Optimization

1Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, Ludhiana, Punjab 141006, India
2Department of Electronics and Communication Engineering, UCoE, Punjabi University, Patiala, Punjab 147002, India
3Department of Electronics and Communication Engineering, UIET, Panjab University, Chandigarh 160014, India

Received 20 September 2007; Accepted 20 February 2008

Academic Editor: Stefano Selleri

Copyright © 2008 Munish Rattan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.