Synthesis of New Reconfigurable Limited Size FSS Structures Using an Improved Hybrid Particle Swarm Optimization

Bibliographic Details
Main Author: Lacouth,Patric
Publication Date: 2019
Other Authors: D’Assunção,Adaildo Gomes, Gomes Neto,Alfrêdo
Format: Article
Language: eng
Source: Journal of Microwaves. Optoelectronics and Electromagnetic Applications
Download full: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742019000200157
Summary: Abstract 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 Synthesis of New Reconfigurable Limited Size FSS Structures Using an Improved Hybrid Particle Swarm OptimizationParticle swarm optimizationPSOnegative zonesHPSO-NZGAreconfigurable FSSAbstract 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.Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo2019-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742019000200157Journal of Microwaves, Optoelectronics and Electromagnetic Applications v.18 n.2 2019reponame:Journal of Microwaves. Optoelectronics and Electromagnetic Applicationsinstname:Sociedade Brasileira de Microondas e Optoeletrônica (SBMO)instacron:SBMO10.1590/2179-10742019v18i21550info:eu-repo/semantics/openAccessLacouth,PatricD’Assunção,Adaildo GomesGomes Neto,Alfrêdoeng2019-06-17T00:00:00Zoai:scielo:S2179-10742019000200157Revistahttp://www.jmoe.org/index.php/jmoe/indexONGhttps://old.scielo.br/oai/scielo-oai.php||editor_jmoe@sbmo.org.br2179-10742179-1074opendoar:2019-06-17T00:00Journal of Microwaves. Optoelectronics and Electromagnetic Applications - Sociedade Brasileira de Microondas e Optoeletrônica (SBMO)false
dc.title.none.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
Lacouth,Patric
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 Lacouth,Patric
author_facet Lacouth,Patric
D’Assunção,Adaildo Gomes
Gomes Neto,Alfrêdo
author_role author
author2 D’Assunção,Adaildo Gomes
Gomes Neto,Alfrêdo
author2_role author
author
dc.contributor.author.fl_str_mv Lacouth,Patric
D’Assunção,Adaildo Gomes
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 Abstract 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.none.fl_str_mv 2019-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742019000200157
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742019000200157
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2179-10742019v18i21550
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo
publisher.none.fl_str_mv Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo
dc.source.none.fl_str_mv Journal of Microwaves, Optoelectronics and Electromagnetic Applications v.18 n.2 2019
reponame:Journal of Microwaves. Optoelectronics and Electromagnetic Applications
instname:Sociedade Brasileira de Microondas e Optoeletrônica (SBMO)
instacron:SBMO
instname_str Sociedade Brasileira de Microondas e Optoeletrônica (SBMO)
instacron_str SBMO
institution SBMO
reponame_str Journal of Microwaves. Optoelectronics and Electromagnetic Applications
collection Journal of Microwaves. Optoelectronics and Electromagnetic Applications
repository.name.fl_str_mv Journal of Microwaves. Optoelectronics and Electromagnetic Applications - Sociedade Brasileira de Microondas e Optoeletrônica (SBMO)
repository.mail.fl_str_mv ||editor_jmoe@sbmo.org.br
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