Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm Optimization
Joint Authors
Sohi, B. S.
Rattan, Munish
Patterh, Manjeet Singh
Source
International Journal of Antennas and Propagation
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-4, 4 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-05-18
Country of Publication
Egypt
No. of Pages
4
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Rattan, Munish& Patterh, Manjeet Singh& Sohi, B. S.. 2008. Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm Optimization. International Journal of Antennas and Propagation،Vol. 2008, no. 2008, pp.1-4.
https://search.emarefa.net/detail/BIM-453408
Modern Language Association (MLA)
Rattan, Munish…[et al.]. Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm Optimization. International Journal of Antennas and Propagation No. 2008 (2008), pp.1-4.
https://search.emarefa.net/detail/BIM-453408
American Medical Association (AMA)
Rattan, Munish& Patterh, Manjeet Singh& Sohi, B. S.. Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm Optimization. International Journal of Antennas and Propagation. 2008. Vol. 2008, no. 2008, pp.1-4.
https://search.emarefa.net/detail/BIM-453408
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-453408
