Comparison of evolutionary algorithms for LPDA antenna optimization
A novel approach to broadband log-periodic antenna design is presented, where some of the most powerful evolutionary algorithms are applied and compared for the optimal design of wire log-periodic dipole arrays (LPDA) using Numerical Electromagnetics Code. The target is to achieve an optimal antenna...
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ftbruneluniv:oai:bura.brunel.ac.uk:2438/13718 2023-05-15T17:53:45+02:00 Comparison of evolutionary algorithms for LPDA antenna optimization Lazaridis, PI Tziris, EN Zaharis, ZD Xenos, TD Cosmas, JP Gallion, PB Holmes, V Glover, IA 2016 1377 - 1384 http://bura.brunel.ac.uk/handle/2438/13718 https://doi.org/10.1002/2015RS005913 en eng Wiley Radio Science Radio Science, 51(8): pp. 1377 - 1384, (2016) 0048-6604 http://bura.brunel.ac.uk/handle/2438/13718 http://dx.doi.org/10.1002/2015RS005913 LPDA Log-periodic Antenna optimization Evolutionary algorithms IWO-PSO Taguchi Article 2016 ftbruneluniv https://doi.org/10.1002/2015RS005913 2021-08-08T08:36:28Z A novel approach to broadband log-periodic antenna design is presented, where some of the most powerful evolutionary algorithms are applied and compared for the optimal design of wire log-periodic dipole arrays (LPDA) using Numerical Electromagnetics Code. The target is to achieve an optimal antenna design with respect to maximum gain, gain flatness, front-to-rear ratio (F/R) and standing wave ratio. The parameters of the LPDA optimized are the dipole lengths, the spacing between the dipoles, and the dipole wire diameters. The evolutionary algorithms compared are the Differential Evolution (DE), Particle Swarm (PSO), Taguchi, Invasive Weed (IWO), and Adaptive Invasive Weed Optimization (ADIWO). Superior performance is achieved by the IWO (best results) and PSO (fast convergence) algorithms. NATO's Public Diplomacy Division in the framework of “Science for Peace”. Grant Number: SfP-984409 ORCA Article in Journal/Newspaper Orca Brunel University London: Brunel University Research Archive (BURA) Radio Science 51 8 1377 1384 |
institution |
Open Polar |
collection |
Brunel University London: Brunel University Research Archive (BURA) |
op_collection_id |
ftbruneluniv |
language |
English |
topic |
LPDA Log-periodic Antenna optimization Evolutionary algorithms IWO-PSO Taguchi |
spellingShingle |
LPDA Log-periodic Antenna optimization Evolutionary algorithms IWO-PSO Taguchi Lazaridis, PI Tziris, EN Zaharis, ZD Xenos, TD Cosmas, JP Gallion, PB Holmes, V Glover, IA Comparison of evolutionary algorithms for LPDA antenna optimization |
topic_facet |
LPDA Log-periodic Antenna optimization Evolutionary algorithms IWO-PSO Taguchi |
description |
A novel approach to broadband log-periodic antenna design is presented, where some of the most powerful evolutionary algorithms are applied and compared for the optimal design of wire log-periodic dipole arrays (LPDA) using Numerical Electromagnetics Code. The target is to achieve an optimal antenna design with respect to maximum gain, gain flatness, front-to-rear ratio (F/R) and standing wave ratio. The parameters of the LPDA optimized are the dipole lengths, the spacing between the dipoles, and the dipole wire diameters. The evolutionary algorithms compared are the Differential Evolution (DE), Particle Swarm (PSO), Taguchi, Invasive Weed (IWO), and Adaptive Invasive Weed Optimization (ADIWO). Superior performance is achieved by the IWO (best results) and PSO (fast convergence) algorithms. NATO's Public Diplomacy Division in the framework of “Science for Peace”. Grant Number: SfP-984409 ORCA |
format |
Article in Journal/Newspaper |
author |
Lazaridis, PI Tziris, EN Zaharis, ZD Xenos, TD Cosmas, JP Gallion, PB Holmes, V Glover, IA |
author_facet |
Lazaridis, PI Tziris, EN Zaharis, ZD Xenos, TD Cosmas, JP Gallion, PB Holmes, V Glover, IA |
author_sort |
Lazaridis, PI |
title |
Comparison of evolutionary algorithms for LPDA antenna optimization |
title_short |
Comparison of evolutionary algorithms for LPDA antenna optimization |
title_full |
Comparison of evolutionary algorithms for LPDA antenna optimization |
title_fullStr |
Comparison of evolutionary algorithms for LPDA antenna optimization |
title_full_unstemmed |
Comparison of evolutionary algorithms for LPDA antenna optimization |
title_sort |
comparison of evolutionary algorithms for lpda antenna optimization |
publisher |
Wiley |
publishDate |
2016 |
url |
http://bura.brunel.ac.uk/handle/2438/13718 https://doi.org/10.1002/2015RS005913 |
genre |
Orca |
genre_facet |
Orca |
op_relation |
Radio Science Radio Science, 51(8): pp. 1377 - 1384, (2016) 0048-6604 http://bura.brunel.ac.uk/handle/2438/13718 http://dx.doi.org/10.1002/2015RS005913 |
op_doi |
https://doi.org/10.1002/2015RS005913 |
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Radio Science |
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51 |
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8 |
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1377 |
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1384 |
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1766161452532498432 |