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Biogeography based Optimization for Gain Maximization of Nine-Element Yagi-Uda Antenna

by Gagan Sachdeva, Ruchi Kansal, Ashwani Singla
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 68 - Number 15
Year of Publication: 2013
Authors: Gagan Sachdeva, Ruchi Kansal, Ashwani Singla
10.5120/11652-7157

Gagan Sachdeva, Ruchi Kansal, Ashwani Singla . Biogeography based Optimization for Gain Maximization of Nine-Element Yagi-Uda Antenna. International Journal of Computer Applications. 68, 15 ( April 2013), 1-4. DOI=10.5120/11652-7157

@article{ 10.5120/11652-7157,
author = { Gagan Sachdeva, Ruchi Kansal, Ashwani Singla },
title = { Biogeography based Optimization for Gain Maximization of Nine-Element Yagi-Uda Antenna },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 68 },
number = { 15 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume68/number15/11652-7157/ },
doi = { 10.5120/11652-7157 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:27:53.349874+05:30
%A Gagan Sachdeva
%A Ruchi Kansal
%A Ashwani Singla
%T Biogeography based Optimization for Gain Maximization of Nine-Element Yagi-Uda Antenna
%J International Journal of Computer Applications
%@ 0975-8887
%V 68
%N 15
%P 1-4
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Biogeography-Based Optimization (BBO) is a recently introduced population based algorithms which has shown impressive performance over other Evolutionary Algorithms (EAs). BBO is based on the study of distribution of biological organisms over space and time. BBO is a stochastic optimization technique, here, solutions for problem are considered as habitats whereas feature sharing, i. e. Suitability Index Variables (SIVs), among the habitats is known as migration and exploration of new SIV is accomplished as mutation. Yagi-Uda 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, that involves determination of optimal wire-lengths and their spacings, is a highly complex and non-linear engineering problem. In this paper, BBO algorithm is applied to optimize the lengths and spacings of nine-element Yagi-Uda antenna for maximum gain. The results obtained with this optimization technique are compared and the best results are tabulated in the ending sections of the paper.

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Index Terms

Computer Science
Information Sciences

Keywords

Bio-geography Based Optimization (BBO) Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Yagi-Uda Antenna Antenna Gain Antenna Impedance

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