FBG optimization using spline encoded evolution strategy

Detalhes bibliográficos
Autor(a) principal: SOUSA, Marco José de
Data de Publicação: 2011
Outros Autores: COSTA, João Crisóstomo Weyl Albuquerque, SOUZA, Remo Magalhães de, PANTOJA, Ramon Villar Monte Palma
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFPA
Texto Completo: http://repositorio.ufpa.br/jspui/handle/2011/4121
Resumo: This paper presents an encoding scheme adapted for Fiber Bragg Grating (FBG) optimization using metaheuristics. The proposed encoding scheme uses spline approximations in order to build softened refractive index profiles from few encoded parameters. This approach is suitable for Fiber Bragg Grating (FBG) synthesis because it ensures both the reduction of the problem dimensionality and the respect of important restrictions associated to the FBG manufacture. Simulations are shown where an ES using the spline encoding was able to converge faster and produce more interesting filters, when compared with conventional encoding schemes.
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spelling 2013-08-13T14:59:59Z2013-08-13T14:59:59Z2011-06SOUSA, M. J. de, et al. FBG optimization using spline encoded evolution strategy. Journal of Microwaves, Optoelectronics and Electromagnetic Applications, São Caetano do Sul, v. 10, n. 1, jun. p. 165-178, jun. 2011. Disponível em: <http://www.scielo.br/pdf/jmoea/v10n1/17.pdf>. Acesso em: 12 ago. 2013. <http://dx.doi.org/10.1590/S2179-10742011000100017>.2179-1074http://repositorio.ufpa.br/jspui/handle/2011/4121This paper presents an encoding scheme adapted for Fiber Bragg Grating (FBG) optimization using metaheuristics. The proposed encoding scheme uses spline approximations in order to build softened refractive index profiles from few encoded parameters. This approach is suitable for Fiber Bragg Grating (FBG) synthesis because it ensures both the reduction of the problem dimensionality and the respect of important restrictions associated to the FBG manufacture. Simulations are shown where an ES using the spline encoding was able to converge faster and produce more interesting filters, when compared with conventional encoding schemes.engGrades de Bragg em fibraEstratégias evolutivasSplineAlgoritmos genéticosCodificaçãoFBG optimization using spline encoded evolution strategyinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleSOUSA, Marco José deCOSTA, João Crisóstomo Weyl AlbuquerqueSOUZA, Remo Magalhães dePANTOJA, Ramon Villar Monte Palmainfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFPAinstname:Universidade Federal do Pará (UFPA)instacron:UFPAORIGINALArtigo_FBGOptimization.pdfArtigo_FBGOptimization.pdfapplication/pdf194491http://repositorio.ufpa.br/oai/bitstream/2011/4121/1/Artigo_FBGOptimization.pdf409230facb98bc7b7382c2fc0e9d7139MD51CC-LICENSElicense_urllicense_urltext/plain; charset=utf-849http://repositorio.ufpa.br/oai/bitstream/2011/4121/2/license_urlfd26723f8d7edacdb29e3f03465c3b03MD52license_textlicense_texttext/html; charset=utf-80http://repositorio.ufpa.br/oai/bitstream/2011/4121/3/license_textd41d8cd98f00b204e9800998ecf8427eMD53license_rdflicense_rdfapplication/rdf+xml; charset=utf-823599http://repositorio.ufpa.br/oai/bitstream/2011/4121/4/license_rdf9e2b7f6edbd693264102b96ece20428aMD54LICENSElicense.txtlicense.txttext/plain; charset=utf-81774http://repositorio.ufpa.br/oai/bitstream/2011/4121/5/license.txtf0aa1a71c97d9c3e771021efac6d65e7MD55TEXTArtigo_FBGOptimization.pdf.txtArtigo_FBGOptimization.pdf.txtExtracted texttext/plain30197http://repositorio.ufpa.br/oai/bitstream/2011/4121/6/Artigo_FBGOptimization.pdf.txt996d85af117b9c235520d88f8bc93c43MD562011/41212018-01-25 11:37:32.433oai:repositorio.ufpa.br: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Repositório InstitucionalPUBhttp://repositorio.ufpa.br/oai/requestriufpabc@ufpa.bropendoar:21232018-01-25T14:37:32Repositório Institucional da UFPA - Universidade Federal do Pará (UFPA)false
dc.title.pt_BR.fl_str_mv FBG optimization using spline encoded evolution strategy
title FBG optimization using spline encoded evolution strategy
spellingShingle FBG optimization using spline encoded evolution strategy
SOUSA, Marco José de
Grades de Bragg em fibra
Estratégias evolutivas
Spline
Algoritmos genéticos
Codificação
title_short FBG optimization using spline encoded evolution strategy
title_full FBG optimization using spline encoded evolution strategy
title_fullStr FBG optimization using spline encoded evolution strategy
title_full_unstemmed FBG optimization using spline encoded evolution strategy
title_sort FBG optimization using spline encoded evolution strategy
author SOUSA, Marco José de
author_facet SOUSA, Marco José de
COSTA, João Crisóstomo Weyl Albuquerque
SOUZA, Remo Magalhães de
PANTOJA, Ramon Villar Monte Palma
author_role author
author2 COSTA, João Crisóstomo Weyl Albuquerque
SOUZA, Remo Magalhães de
PANTOJA, Ramon Villar Monte Palma
author2_role author
author
author
dc.contributor.author.fl_str_mv SOUSA, Marco José de
COSTA, João Crisóstomo Weyl Albuquerque
SOUZA, Remo Magalhães de
PANTOJA, Ramon Villar Monte Palma
dc.subject.por.fl_str_mv Grades de Bragg em fibra
Estratégias evolutivas
Spline
Algoritmos genéticos
Codificação
topic Grades de Bragg em fibra
Estratégias evolutivas
Spline
Algoritmos genéticos
Codificação
description This paper presents an encoding scheme adapted for Fiber Bragg Grating (FBG) optimization using metaheuristics. The proposed encoding scheme uses spline approximations in order to build softened refractive index profiles from few encoded parameters. This approach is suitable for Fiber Bragg Grating (FBG) synthesis because it ensures both the reduction of the problem dimensionality and the respect of important restrictions associated to the FBG manufacture. Simulations are shown where an ES using the spline encoding was able to converge faster and produce more interesting filters, when compared with conventional encoding schemes.
publishDate 2011
dc.date.issued.fl_str_mv 2011-06
dc.date.accessioned.fl_str_mv 2013-08-13T14:59:59Z
dc.date.available.fl_str_mv 2013-08-13T14:59:59Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.fl_str_mv SOUSA, M. J. de, et al. FBG optimization using spline encoded evolution strategy. Journal of Microwaves, Optoelectronics and Electromagnetic Applications, São Caetano do Sul, v. 10, n. 1, jun. p. 165-178, jun. 2011. Disponível em: <http://www.scielo.br/pdf/jmoea/v10n1/17.pdf>. Acesso em: 12 ago. 2013. <http://dx.doi.org/10.1590/S2179-10742011000100017>.
dc.identifier.uri.fl_str_mv http://repositorio.ufpa.br/jspui/handle/2011/4121
dc.identifier.issn.none.fl_str_mv 2179-1074
identifier_str_mv SOUSA, M. J. de, et al. FBG optimization using spline encoded evolution strategy. Journal of Microwaves, Optoelectronics and Electromagnetic Applications, São Caetano do Sul, v. 10, n. 1, jun. p. 165-178, jun. 2011. Disponível em: <http://www.scielo.br/pdf/jmoea/v10n1/17.pdf>. Acesso em: 12 ago. 2013. <http://dx.doi.org/10.1590/S2179-10742011000100017>.
2179-1074
url http://repositorio.ufpa.br/jspui/handle/2011/4121
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