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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Bibliographic Details
Published inInternational journal of antennas and propagation Vol. 2021; pp. 1 - 11
Main Authors Santos, Pitther N., Dmitriev, Victor, da Costa, Karlo Q.
Format Journal Article
LanguageEnglish
Published New York Hindawi 2021
Hindawi Limited
Subjects
Antenna arrays
Antennas
Directivity
Efficiency
Electric fields
Electric potential
Genetic algorithms
Geometry
Integral equations
Method of moments
Nanoantennas
Optimization techniques
Particle swarm optimization
Transmission lines
Voltage
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Summary: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.
ISSN:1687-5869
1687-5877
DOI:10.1155/2021/8874385