Designing Yagi-Uda Antenna using Gain-Impedance Multiobjective Optimization

Authors

  • Satvir Singh SBS State Technical Campus
  • Etika Mittal SBS State Technical Campus

Keywords:

Non-dominated Sorting, Bio-geography Based Optimization, Particle Swarm Optimization, Yagi-Uda Antenna, MultiObjective Optimization, Antenna Gain, Antenna Impedance, BBO Migration Variants.

Abstract

Biogeography-Based Optimization (BBO) is one of the population based algorithms that has out performed most of the Evolutionary Algorithms (EAs) in various optimization applications. BBO is based on the study of geographical distribution of biological organisms over space and time. YagiUda antenna design is most widely used antenna at VHF and UHF frequencies due to high gain, directivity and ease of construction. However, designing a Yagi-Uda antenna involves determination of wire-lengths and their spacings that bear highly complex and non-linear relationships with gain and impedance, etc. For example, if gain is intended to increase then imaginary part in impedance becomes significant whereas real part becomes negligible. In this paper, Non-dominated Sorting along with BBO, its variants and PSO (Particle Swarm Optimization) are investigated for multi-objective optimization of six-element
Yagi-Uda antenna designs to optimize two objectives, viz. gain and impedance, simultaneously. The best results and average of multiple monte-carlo runs are presented in the ending sections of the paper for fair comparative study of convergence performance of the stochastic EAs.

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Published

2013-07-01

How to Cite

Satvir Singh, & Etika Mittal. (2013). Designing Yagi-Uda Antenna using Gain-Impedance Multiobjective Optimization. Journal of Network and Innovative Computing, 1, 11. Retrieved from https://cspub-jnic.org/index.php/jnic/article/view/30

Issue

Vol. 1 (2013)

Section

Original Article

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