Self-adaptive combination of global tabu search and local search for nonlinear equations

Detalhes bibliográficos
Autor(a) principal: Ramadas, Gisela C. V.
Data de Publicação: 2012
Outros Autores: Fernandes, Edite M. G. P.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/4067
Resumo: Solving systems of nonlinear equations is a very important task since the problems emerge mostly through the mathematical modelling of real problems that arise naturally in many branches of engineering and in the physical sciences. The problem can be naturally reformulated as a global optimization problem. In this paper, we show that a self-adaptive combination of a metaheuristic with a classical local search method is able to converge to some difficult problems that are not solved by Newton-type methods.
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spelling Self-adaptive combination of global tabu search and local search for nonlinear equationsNonlinear equationsMetaheuristicTabu searchHooke and Jeeves methodSolving systems of nonlinear equations is a very important task since the problems emerge mostly through the mathematical modelling of real problems that arise naturally in many branches of engineering and in the physical sciences. The problem can be naturally reformulated as a global optimization problem. In this paper, we show that a self-adaptive combination of a metaheuristic with a classical local search method is able to converge to some difficult problems that are not solved by Newton-type methods.Taylor & FrancisRepositório Científico do Instituto Politécnico do PortoRamadas, Gisela C. V.Fernandes, Edite M. G. P.2014-02-25T17:00:07Z20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/4067eng0020-716010.1080/00207160.2012.687727info: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:RCAAP2023-03-13T12:43:57Zoai:recipp.ipp.pt:10400.22/4067Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:24:59.868851Repositório 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 Self-adaptive combination of global tabu search and local search for nonlinear equations
title Self-adaptive combination of global tabu search and local search for nonlinear equations
spellingShingle Self-adaptive combination of global tabu search and local search for nonlinear equations
Ramadas, Gisela C. V.
Nonlinear equations
Metaheuristic
Tabu search
Hooke and Jeeves method
title_short Self-adaptive combination of global tabu search and local search for nonlinear equations
title_full Self-adaptive combination of global tabu search and local search for nonlinear equations
title_fullStr Self-adaptive combination of global tabu search and local search for nonlinear equations
title_full_unstemmed Self-adaptive combination of global tabu search and local search for nonlinear equations
title_sort Self-adaptive combination of global tabu search and local search for nonlinear equations
author Ramadas, Gisela C. V.
author_facet Ramadas, Gisela C. V.
Fernandes, Edite M. G. P.
author_role author
author2 Fernandes, Edite M. G. P.
author2_role author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Ramadas, Gisela C. V.
Fernandes, Edite M. G. P.
dc.subject.por.fl_str_mv Nonlinear equations
Metaheuristic
Tabu search
Hooke and Jeeves method
topic Nonlinear equations
Metaheuristic
Tabu search
Hooke and Jeeves method
description Solving systems of nonlinear equations is a very important task since the problems emerge mostly through the mathematical modelling of real problems that arise naturally in many branches of engineering and in the physical sciences. The problem can be naturally reformulated as a global optimization problem. In this paper, we show that a self-adaptive combination of a metaheuristic with a classical local search method is able to converge to some difficult problems that are not solved by Newton-type methods.
publishDate 2012
dc.date.none.fl_str_mv 2012
2012-01-01T00:00:00Z
2014-02-25T17:00:07Z
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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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/4067
url http://hdl.handle.net/10400.22/4067
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0020-7160
10.1080/00207160.2012.687727
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 Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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