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

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International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 68 - Number 15
Year of Publication: 2013
Authors:
Gagan Sachdeva
Ruchi Kansal
Ashwani Singla
10.5120/11652-7157

Gagan Sachdeva, Ruchi Kansal and Ashwani Singla. Article: Biogeography based Optimization for Gain Maximization of Nine-Element Yagi-Uda Antenna. International Journal of Computer Applications 68(15):1-4, April 2013. Full text available. BibTeX

@article{key:article,
	author = {Gagan Sachdeva and Ruchi Kansal and Ashwani Singla},
	title = {Article: Biogeography based Optimization for Gain Maximization of Nine-Element Yagi-Uda Antenna},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {68},
	number = {15},
	pages = {1-4},
	month = {April},
	note = {Full text available}
}

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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