Synthesis of new reconfigurable limited size FSS structures using an improved hybrid particle swarm optimization

Detalhes bibliográficos
Autor(a) principal: D´Assunção, Adaildo Gomes
Data de Publicação: 2019
Outros Autores: Lacouth, Patric, Gomes Neto, Alfrêdo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/handle/123456789/31641
Resumo: This paper describes a new design methodology for reconfigurable printed circuits with limited size, using an improved hybrid particle swarm optimization (HPSO) algorithm, reducing the search space by the definition of negative zones (NZ), regions where the swarm of particles should not travel. The proposed design methodology (HPSO-NZ) is used in the development of reconfigurable frequency selective surfaces (RFSSs), restricted to a limited overall size, resulting in entirely new frequency selective surface (FSS) geometries. Two FSS prototypes are designed, fabricated, and measured for comparison purpose. A good agreement is observed between simulation and measurements results, confirming the efficiency and accuracy of the HPSO-NZ algorithm. Also, the performance of the HPSO-NZ algorithm is compared to the ones of genetic algorithm (GA) and particle swarm optimization (PSO) algorithm, showing good consistency results
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spelling D´Assunção, Adaildo GomesLacouth, PatricGomes Neto, Alfrêdo2021-03-02T23:49:24Z2021-03-02T23:49:24Z2019-06LACOUTH, Patric; D’ASSUNÇÃO, Adaildo Gomes; GOMES NETO, Alfrêdo. Synthesis of New Reconfigurable Limited Size FSS Structures Using an Improved Hybrid Particle Swarm Optimization. Journal of Microwaves, Optoelectronics And Electromagnetic Applications, [S.L.], v. 18, n. 2, p. 157-172, jun. 2019. Disponível em: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742019000200157&tlng=en. Acesso em: 20 out. 2020. http://dx.doi.org/10.1590/2179-10742019v18i21550.2179-1074https://repositorio.ufrn.br/handle/123456789/3164110.1590/2179-10742019v18i21550ScieloAttribution-NonCommercial 3.0 Brazilhttp://creativecommons.org/licenses/by-nc/3.0/br/info:eu-repo/semantics/openAccessParticle swarm optimizationPSONegative zonesHPSO-NZGAReconfigurable FSSSynthesis of new reconfigurable limited size FSS structures using an improved hybrid particle swarm optimizationinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleThis paper describes a new design methodology for reconfigurable printed circuits with limited size, using an improved hybrid particle swarm optimization (HPSO) algorithm, reducing the search space by the definition of negative zones (NZ), regions where the swarm of particles should not travel. The proposed design methodology (HPSO-NZ) is used in the development of reconfigurable frequency selective surfaces (RFSSs), restricted to a limited overall size, resulting in entirely new frequency selective surface (FSS) geometries. Two FSS prototypes are designed, fabricated, and measured for comparison purpose. A good agreement is observed between simulation and measurements results, confirming the efficiency and accuracy of the HPSO-NZ algorithm. Also, the performance of the HPSO-NZ algorithm is compared to the ones of genetic algorithm (GA) and particle swarm optimization (PSO) algorithm, showing good consistency resultsengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8920https://repositorio.ufrn.br/bitstream/123456789/31641/2/license_rdf728dfda2fa81b274c619d08d1dfc1a03MD52ORIGINALSynthesisofNewReconfigurable_Assunção_2019.pdfSynthesisofNewReconfigurable_Assunção_2019.pdfapplication/pdf1037294https://repositorio.ufrn.br/bitstream/123456789/31641/1/SynthesisofNewReconfigurable_Assun%c3%a7%c3%a3o_2019.pdf3a38c19f9d63ff9094be97318a9fd166MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/31641/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53TEXTSynthesisofNewReconfigurable_Assunção_2019.pdf.txtSynthesisofNewReconfigurable_Assunção_2019.pdf.txtExtracted texttext/plain37794https://repositorio.ufrn.br/bitstream/123456789/31641/4/SynthesisofNewReconfigurable_Assun%c3%a7%c3%a3o_2019.pdf.txt54b676d291baf7f7441651c7335427c1MD54THUMBNAILSynthesisofNewReconfigurable_Assunção_2019.pdf.jpgSynthesisofNewReconfigurable_Assunção_2019.pdf.jpgGenerated Thumbnailimage/jpeg1802https://repositorio.ufrn.br/bitstream/123456789/31641/5/SynthesisofNewReconfigurable_Assun%c3%a7%c3%a3o_2019.pdf.jpg7512768750d5f58576eae0ecaeef5d15MD55123456789/316412021-03-07 05:49:27.786oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2021-03-07T08:49:27Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv Synthesis of new reconfigurable limited size FSS structures using an improved hybrid particle swarm optimization
title Synthesis of new reconfigurable limited size FSS structures using an improved hybrid particle swarm optimization
spellingShingle Synthesis of new reconfigurable limited size FSS structures using an improved hybrid particle swarm optimization
D´Assunção, Adaildo Gomes
Particle swarm optimization
PSO
Negative zones
HPSO-NZ
GA
Reconfigurable FSS
title_short Synthesis of new reconfigurable limited size FSS structures using an improved hybrid particle swarm optimization
title_full Synthesis of new reconfigurable limited size FSS structures using an improved hybrid particle swarm optimization
title_fullStr Synthesis of new reconfigurable limited size FSS structures using an improved hybrid particle swarm optimization
title_full_unstemmed Synthesis of new reconfigurable limited size FSS structures using an improved hybrid particle swarm optimization
title_sort Synthesis of new reconfigurable limited size FSS structures using an improved hybrid particle swarm optimization
author D´Assunção, Adaildo Gomes
author_facet D´Assunção, Adaildo Gomes
Lacouth, Patric
Gomes Neto, Alfrêdo
author_role author
author2 Lacouth, Patric
Gomes Neto, Alfrêdo
author2_role author
author
dc.contributor.author.fl_str_mv D´Assunção, Adaildo Gomes
Lacouth, Patric
Gomes Neto, Alfrêdo
dc.subject.por.fl_str_mv Particle swarm optimization
PSO
Negative zones
HPSO-NZ
GA
Reconfigurable FSS
topic Particle swarm optimization
PSO
Negative zones
HPSO-NZ
GA
Reconfigurable FSS
description This paper describes a new design methodology for reconfigurable printed circuits with limited size, using an improved hybrid particle swarm optimization (HPSO) algorithm, reducing the search space by the definition of negative zones (NZ), regions where the swarm of particles should not travel. The proposed design methodology (HPSO-NZ) is used in the development of reconfigurable frequency selective surfaces (RFSSs), restricted to a limited overall size, resulting in entirely new frequency selective surface (FSS) geometries. Two FSS prototypes are designed, fabricated, and measured for comparison purpose. A good agreement is observed between simulation and measurements results, confirming the efficiency and accuracy of the HPSO-NZ algorithm. Also, the performance of the HPSO-NZ algorithm is compared to the ones of genetic algorithm (GA) and particle swarm optimization (PSO) algorithm, showing good consistency results
publishDate 2019
dc.date.issued.fl_str_mv 2019-06
dc.date.accessioned.fl_str_mv 2021-03-02T23:49:24Z
dc.date.available.fl_str_mv 2021-03-02T23:49:24Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv LACOUTH, Patric; D’ASSUNÇÃO, Adaildo Gomes; GOMES NETO, Alfrêdo. Synthesis of New Reconfigurable Limited Size FSS Structures Using an Improved Hybrid Particle Swarm Optimization. Journal of Microwaves, Optoelectronics And Electromagnetic Applications, [S.L.], v. 18, n. 2, p. 157-172, jun. 2019. Disponível em: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742019000200157&tlng=en. Acesso em: 20 out. 2020. http://dx.doi.org/10.1590/2179-10742019v18i21550.
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/handle/123456789/31641
dc.identifier.issn.none.fl_str_mv 2179-1074
dc.identifier.doi.none.fl_str_mv 10.1590/2179-10742019v18i21550
identifier_str_mv LACOUTH, Patric; D’ASSUNÇÃO, Adaildo Gomes; GOMES NETO, Alfrêdo. Synthesis of New Reconfigurable Limited Size FSS Structures Using an Improved Hybrid Particle Swarm Optimization. Journal of Microwaves, Optoelectronics And Electromagnetic Applications, [S.L.], v. 18, n. 2, p. 157-172, jun. 2019. Disponível em: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742019000200157&tlng=en. Acesso em: 20 out. 2020. http://dx.doi.org/10.1590/2179-10742019v18i21550.
2179-1074
10.1590/2179-10742019v18i21550
url https://repositorio.ufrn.br/handle/123456789/31641
dc.language.iso.fl_str_mv eng
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http://creativecommons.org/licenses/by-nc/3.0/br/
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http://creativecommons.org/licenses/by-nc/3.0/br/
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