A New Jumping Genes Paradigm for an E-Shaped Folded Patch Feed Antenna DesignReport as inadecuate




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International Journal of Microwave Science and Technology - Volume 2007 2007, Article ID 10672, 10 pages

Research Article Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong

Received 14 June 2007; Accepted 3 August 2007

Academic Editor: K. Yazdandoost

Copyright © 2007 S. H. Yeung and K. F. Man. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A novel evolutionary computing algorithm, namely, jumping genes evolutionary algorithmJGEA is used for the optimization of antenna designs. This scheme incorporates with a multiobjectivestrategy that enables the gene mobility within the same chromosome, or even to a different chromosome.This type of horizontal gene movement causes the genes to find the suitable locations to achieve thenecessary building blocks in such a way that the quality of nondominated solutions and-or the Pareto-optimalsolutions can be enhanced. This new scheme is robust and provides outputs in speed and accuracy.It also generates a range of widespread extreme solutions. The design of an E-shaped patch antenna wasadopted for the purpose of design demonstration. An antenna structure with 91% impedance bandwidthfor a frequency range of 3.6–9.6 GHz was selected amongst the nondominated solutions set for thehardware fabrication. Its measured performances both for impedance bandwidth and frequency rangewere in good agreement with the simulated solution. The cross-polarized field was found to be small incomparison, and the copolarized field can sustain the broadside radiation pattern over the frequency band.This methodology of optimization can be of an alternative approach for antenna design.





Author: S. H. Yeung and K. F. Man

Source: https://www.hindawi.com/



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