Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm Optimization-Reference-Cited by-同舟云学术

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

Published:2008 Issue: Volume:2008 Page:1-4
ISSN:1687-5869
Container-title:International Journal of Antennas and Propagation
language:en
Short-container-title:International Journal of Antennas and Propagation

Author:

Rattan Munish¹,Patterh Manjeet Singh²,Sohi B. S.³

Affiliation:

1. Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, Ludhiana, Punjab 141006, India

2. Department of Electronics and Communication Engineering, UCoE, Punjabi University, Patiala, Punjab 147002, India

3. Department of Electronics and Communication Engineering, UIET, Panjab University, Chandigarh 160014, India

Abstract

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.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering

Link

http://downloads.hindawi.com/journals/ijap/2008/193242.pdf

Reference11 articles.

1. Optimum element spacings for Yagi-Uda arrays

2. Optimum element lengths for Yagi-Uda arrays

3. Gain optimization for Yagi-Uda arrays

4. Comparison between genetic and gradient-based optimization algorithms for solving electromagnetics problems

5. Design of Yagi-Uda antennas using genetic algorithms

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