Hybrid simulation-optimization methods: A taxonomy and discussion

Detalhes bibliográficos
Autor(a) principal: Gonçalo Figueira
Data de Publicação: 2014
Outros Autores: Bernardo Almada Lobo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://repositorio-aberto.up.pt/handle/10216/76059
Resumo: The possibilities of combining simulation and optimization are vast and the appropriate design highly depends on the problem characteristics. Therefore, it is very important to have a good overview of the different approaches. The taxonomies and classifications proposed in the literature do not cover the complete range of methods and overlook some important criteria. We provide a taxonomy that aims at giving an overview of the full spectrum of current simulation-optimization approaches. Our study may guide researchers who want to use one of the existing methods, give insights into the cross-fertilization of the ideas applied in those methods and create a standard for a better communication in the scientific community. Future reviews can use the taxonomy here described to classify both general approaches and methods for specific application fields. (C) 2014 Elsevier B.V. All rights reserved.
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spelling Hybrid simulation-optimization methods: A taxonomy and discussionCiências Tecnológicas, Ciências da computação e da informaçãoTechnological sciences, Computer and information sciencesThe possibilities of combining simulation and optimization are vast and the appropriate design highly depends on the problem characteristics. Therefore, it is very important to have a good overview of the different approaches. The taxonomies and classifications proposed in the literature do not cover the complete range of methods and overlook some important criteria. We provide a taxonomy that aims at giving an overview of the full spectrum of current simulation-optimization approaches. Our study may guide researchers who want to use one of the existing methods, give insights into the cross-fertilization of the ideas applied in those methods and create a standard for a better communication in the scientific community. Future reviews can use the taxonomy here described to classify both general approaches and methods for specific application fields. (C) 2014 Elsevier B.V. All rights reserved.20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://repositorio-aberto.up.pt/handle/10216/76059eng1569-190X10.1016/j.simpat.2014.03.007Gonçalo FigueiraBernardo Almada Loboinfo: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:RCAAP2023-11-29T12:48:51Zoai:repositorio-aberto.up.pt:10216/76059Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:27:20.609513Repositório 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 Hybrid simulation-optimization methods: A taxonomy and discussion
title Hybrid simulation-optimization methods: A taxonomy and discussion
spellingShingle Hybrid simulation-optimization methods: A taxonomy and discussion
Gonçalo Figueira
Ciências Tecnológicas, Ciências da computação e da informação
Technological sciences, Computer and information sciences
title_short Hybrid simulation-optimization methods: A taxonomy and discussion
title_full Hybrid simulation-optimization methods: A taxonomy and discussion
title_fullStr Hybrid simulation-optimization methods: A taxonomy and discussion
title_full_unstemmed Hybrid simulation-optimization methods: A taxonomy and discussion
title_sort Hybrid simulation-optimization methods: A taxonomy and discussion
author Gonçalo Figueira
author_facet Gonçalo Figueira
Bernardo Almada Lobo
author_role author
author2 Bernardo Almada Lobo
author2_role author
dc.contributor.author.fl_str_mv Gonçalo Figueira
Bernardo Almada Lobo
dc.subject.por.fl_str_mv Ciências Tecnológicas, Ciências da computação e da informação
Technological sciences, Computer and information sciences
topic Ciências Tecnológicas, Ciências da computação e da informação
Technological sciences, Computer and information sciences
description The possibilities of combining simulation and optimization are vast and the appropriate design highly depends on the problem characteristics. Therefore, it is very important to have a good overview of the different approaches. The taxonomies and classifications proposed in the literature do not cover the complete range of methods and overlook some important criteria. We provide a taxonomy that aims at giving an overview of the full spectrum of current simulation-optimization approaches. Our study may guide researchers who want to use one of the existing methods, give insights into the cross-fertilization of the ideas applied in those methods and create a standard for a better communication in the scientific community. Future reviews can use the taxonomy here described to classify both general approaches and methods for specific application fields. (C) 2014 Elsevier B.V. All rights reserved.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01T00:00:00Z
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dc.identifier.uri.fl_str_mv https://repositorio-aberto.up.pt/handle/10216/76059
url https://repositorio-aberto.up.pt/handle/10216/76059
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1569-190X
10.1016/j.simpat.2014.03.007
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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