Implementation of fractional-order electromagnetic potential through a genetic algorithm

Detalhes bibliográficos
Autor(a) principal: Jesus, Isabel S.
Data de Publicação: 2009
Outros Autores: Machado, J. A. Tenreiro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/4310
Resumo: Several phenomena present in electrical systems motivated the development of comprehensive models based on the theory of fractional calculus (FC). Bearing these ideas in mind, in this work are applied the FC concepts to define, and to evaluate, the electrical potential of fractional order, based in a genetic algorithm optimization scheme. The feasibility and the convergence of the proposed method are evaluated.
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spelling Implementation of fractional-order electromagnetic potential through a genetic algorithmElectrical potentialFractional-order systemsElectromagnetismMultipolesGenetic algorithmsOptimizationSeveral phenomena present in electrical systems motivated the development of comprehensive models based on the theory of fractional calculus (FC). Bearing these ideas in mind, in this work are applied the FC concepts to define, and to evaluate, the electrical potential of fractional order, based in a genetic algorithm optimization scheme. The feasibility and the convergence of the proposed method are evaluated.ElsevierRepositório Científico do Instituto Politécnico do PortoJesus, Isabel S.Machado, J. A. Tenreiro2014-04-04T11:23:11Z20092009-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/4310eng1007-570410.1016/j.cnsns.2008.08.015info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:44:26Zoai:recipp.ipp.pt:10400.22/4310Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:25:12.704901Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Implementation of fractional-order electromagnetic potential through a genetic algorithm
title Implementation of fractional-order electromagnetic potential through a genetic algorithm
spellingShingle Implementation of fractional-order electromagnetic potential through a genetic algorithm
Jesus, Isabel S.
Electrical potential
Fractional-order systems
Electromagnetism
Multipoles
Genetic algorithms
Optimization
title_short Implementation of fractional-order electromagnetic potential through a genetic algorithm
title_full Implementation of fractional-order electromagnetic potential through a genetic algorithm
title_fullStr Implementation of fractional-order electromagnetic potential through a genetic algorithm
title_full_unstemmed Implementation of fractional-order electromagnetic potential through a genetic algorithm
title_sort Implementation of fractional-order electromagnetic potential through a genetic algorithm
author Jesus, Isabel S.
author_facet Jesus, Isabel S.
Machado, J. A. Tenreiro
author_role author
author2 Machado, J. A. Tenreiro
author2_role author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Jesus, Isabel S.
Machado, J. A. Tenreiro
dc.subject.por.fl_str_mv Electrical potential
Fractional-order systems
Electromagnetism
Multipoles
Genetic algorithms
Optimization
topic Electrical potential
Fractional-order systems
Electromagnetism
Multipoles
Genetic algorithms
Optimization
description Several phenomena present in electrical systems motivated the development of comprehensive models based on the theory of fractional calculus (FC). Bearing these ideas in mind, in this work are applied the FC concepts to define, and to evaluate, the electrical potential of fractional order, based in a genetic algorithm optimization scheme. The feasibility and the convergence of the proposed method are evaluated.
publishDate 2009
dc.date.none.fl_str_mv 2009
2009-01-01T00:00:00Z
2014-04-04T11:23:11Z
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.uri.fl_str_mv http://hdl.handle.net/10400.22/4310
url http://hdl.handle.net/10400.22/4310
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1007-5704
10.1016/j.cnsns.2008.08.015
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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