Optimization of Modified Yagi-Uda Nanoantenna Arrays Using Adaptive Fuzzy GAPSO

This paper presents an optimization of the radiation and absorption characteristics of modified Yagi-Uda (YU) nanoantenna arrays. Four geometries of antennas are considered: conventional YU fed by voltage source and transmission line, and YU with a loop element fed by voltage source and transmission...

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Main Authors: Pitther N. Santos, Victor Dmitriev, Karlo Q. da Costa
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2021/8874385
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author Pitther N. Santos
Victor Dmitriev
Karlo Q. da Costa
author_facet Pitther N. Santos
Victor Dmitriev
Karlo Q. da Costa
author_sort Pitther N. Santos
collection DOAJ
description This paper presents an optimization of the radiation and absorption characteristics of modified Yagi-Uda (YU) nanoantenna arrays. Four geometries of antennas are considered: conventional YU fed by voltage source and transmission line, and YU with a loop element fed by voltage source and transmission line. The numerical electromagnetic simulations of these nanoantennas were made by the method of moments (MoM). The optimization method used is the adaptive fuzzy GAPSO, which consists of hybridization between genetic algorithm (GA) and particle swarm optimization (PSO), with a fuzzy system employed to adapt the inertial weight ω and the acceleration coefficients C1 and C2 of PSO. The optimized results show that the modified YU nanoantennas present better characteristics of gain, directivity, and radiation efficiency than the conventional YU antenna.
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institution Kabale University
issn 1687-5869
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publishDate 2021-01-01
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record_format Article
series International Journal of Antennas and Propagation
spelling doaj-art-8df4e043b3684f878a8c9504d9fb8f662025-02-03T06:06:27ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772021-01-01202110.1155/2021/88743858874385Optimization of Modified Yagi-Uda Nanoantenna Arrays Using Adaptive Fuzzy GAPSOPitther N. Santos0Victor Dmitriev1Karlo Q. da Costa2Department of Electrical Engineering, Federal University of Para, Belém-PA, BrazilDepartment of Electrical Engineering, Federal University of Para, Belém-PA, BrazilDepartment of Electrical Engineering, Federal University of Para, Belém-PA, BrazilThis paper presents an optimization of the radiation and absorption characteristics of modified Yagi-Uda (YU) nanoantenna arrays. Four geometries of antennas are considered: conventional YU fed by voltage source and transmission line, and YU with a loop element fed by voltage source and transmission line. The numerical electromagnetic simulations of these nanoantennas were made by the method of moments (MoM). The optimization method used is the adaptive fuzzy GAPSO, which consists of hybridization between genetic algorithm (GA) and particle swarm optimization (PSO), with a fuzzy system employed to adapt the inertial weight ω and the acceleration coefficients C1 and C2 of PSO. The optimized results show that the modified YU nanoantennas present better characteristics of gain, directivity, and radiation efficiency than the conventional YU antenna.http://dx.doi.org/10.1155/2021/8874385
spellingShingle Pitther N. Santos
Victor Dmitriev
Karlo Q. da Costa
Optimization of Modified Yagi-Uda Nanoantenna Arrays Using Adaptive Fuzzy GAPSO
International Journal of Antennas and Propagation
title Optimization of Modified Yagi-Uda Nanoantenna Arrays Using Adaptive Fuzzy GAPSO
title_full Optimization of Modified Yagi-Uda Nanoantenna Arrays Using Adaptive Fuzzy GAPSO
title_fullStr Optimization of Modified Yagi-Uda Nanoantenna Arrays Using Adaptive Fuzzy GAPSO
title_full_unstemmed Optimization of Modified Yagi-Uda Nanoantenna Arrays Using Adaptive Fuzzy GAPSO
title_short Optimization of Modified Yagi-Uda Nanoantenna Arrays Using Adaptive Fuzzy GAPSO
title_sort optimization of modified yagi uda nanoantenna arrays using adaptive fuzzy gapso
url http://dx.doi.org/10.1155/2021/8874385
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