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Yagi-Uda Antenna Design Optimization for Maximum Gain using different BBO Migration Variants

by Satvir Singh, Gagan Sachdeva
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 58 - Number 5
Year of Publication: 2012
Authors: Satvir Singh, Gagan Sachdeva
10.5120/9278-3471

Satvir Singh, Gagan Sachdeva . Yagi-Uda Antenna Design Optimization for Maximum Gain using different BBO Migration Variants. International Journal of Computer Applications. 58, 5 ( November 2012), 14-18. DOI=10.5120/9278-3471

@article{ 10.5120/9278-3471,
author = { Satvir Singh, Gagan Sachdeva },
title = { Yagi-Uda Antenna Design Optimization for Maximum Gain using different BBO Migration Variants },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 58 },
number = { 5 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 14-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume58/number5/9278-3471/ },
doi = { 10.5120/9278-3471 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:01:40.061441+05:30
%A Satvir Singh
%A Gagan Sachdeva
%T Yagi-Uda Antenna Design Optimization for Maximum Gain using different BBO Migration Variants
%J International Journal of Computer Applications
%@ 0975-8887
%V 58
%N 5
%P 14-18
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Biogeography is the study of distribution of biological species, over space and time, among random habitats. Recently developed Biogeography-Based Optimization (BBO) is a technique, where solutions of the problem under consideration are named as habitats; similar to chromosome in Genetic Algorithms (GAs) and particles in Particle Swarm Optimization (PSO). Feature sharing among various habitats, i. e. , exploitation, is made to occur due to migration operator wheras exploration of new SIV values, similar to that of GAs, is accomplished with mutation operator. In this paper, various migration variants of BBO algorithm, reported till date, are investigated to optimize the lengths and spacings for Yagi- Uda antenna elements for maximum gain. The results obtained with these migration variants are compared and the best results are presented in the ending sections of the paper.

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Index Terms

Computer Science
Information Sciences

Keywords

Yagi-Uda Antenna Bio-geography Based Optimization (BBO) Migration Variants Enhanced BBO Immigration Refusal BBO Blended BBOifx

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