Contributions to the future of metaheuristics in the contours of scientific development
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/1806-9649-2022V29E099 http://hdl.handle.net/11449/241751 |
Resumo: | Metaheuristic algorithms solve optimisation problems by identifying the best combination among a set of variables to enhance a function. Within metaheuristics, the main purpose of this work is that of showing the development of research issues about processes related to optimisation and metaheuristics, with a focus on the projection of those issues with greater possibility of development. Optimization processes is one of the most studied fields in artificial intelligence, optimization, logistics, and other applications The main contributions of this work were the identification of the main issues contained in the themes of process optimization and metaheuristics; an analysis of the expansion and retraction of the aforementioned theme; an understanding of convergence and divergence; and an analysis of the stages of development as presented in the gaps of the fifty most commonly mentioned articles. The main finding was to analyze the development of research topics on optimization processes and metaheuristics, focusing on projecting the topics most likely to develop. |
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Contributions to the future of metaheuristics in the contours of scientific developmentContribuições para o futuro da metaheurística nos contornos do desenvolvimento científicoAlgorithmMetaheuristicsModellingOptimizationMetaheuristic algorithms solve optimisation problems by identifying the best combination among a set of variables to enhance a function. Within metaheuristics, the main purpose of this work is that of showing the development of research issues about processes related to optimisation and metaheuristics, with a focus on the projection of those issues with greater possibility of development. Optimization processes is one of the most studied fields in artificial intelligence, optimization, logistics, and other applications The main contributions of this work were the identification of the main issues contained in the themes of process optimization and metaheuristics; an analysis of the expansion and retraction of the aforementioned theme; an understanding of convergence and divergence; and an analysis of the stages of development as presented in the gaps of the fifty most commonly mentioned articles. The main finding was to analyze the development of research topics on optimization processes and metaheuristics, focusing on projecting the topics most likely to develop.Universidade do Estado do Rio de Janeiro – UERJ Faculdade de Tecnologia, RJUniversidade Estadual Paulista – UNESP Faculdade de Engenharia de Guaratinguetá, Guaratinguetá, SPUniversidade de São Paulo – USP Escola de Engenharia de Lorena, SPCentro Federal de Educação Tecnológica Celso Suckow da Fonseca – CEFET-RJ, RJPolytechnic Institute of Cavado and Ave – IPCAUniversidade Estadual Paulista – UNESP Faculdade de Engenharia de Guaratinguetá, Guaratinguetá, SPUniversidade do Estado do Rio de Janeiro (UERJ)Universidade Estadual Paulista (UNESP)Universidade de São Paulo (USP)Centro Federal de Educação Tecnológica Celso Suckow da Fonseca – CEFET-RJPolytechnic Institute of Cavado and Ave – IPCAde Souza Sampaio, Nilo Antonioda Motta Reis, José Salvador [UNESP]Espuny, Maximilian [UNESP]Cardoso, Ronald PalandGomes, Fabricio MacielPereira, Felix MonteiroFerreira, Luís CésarBarbosa, MottaSantos, GilbertoSilva, Messias Borges [UNESP]2023-03-01T23:40:42Z2023-03-01T23:40:42Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1590/1806-9649-2022V29E099Gestao e Producao, v. 29.1806-96490104-530Xhttp://hdl.handle.net/11449/24175110.1590/1806-9649-2022V29E0992-s2.0-85128508680Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengGestao e Producaoinfo:eu-repo/semantics/openAccess2024-07-02T17:37:19Zoai:repositorio.unesp.br:11449/241751Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:46:59.363107Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Contributions to the future of metaheuristics in the contours of scientific development Contribuições para o futuro da metaheurística nos contornos do desenvolvimento científico |
title |
Contributions to the future of metaheuristics in the contours of scientific development |
spellingShingle |
Contributions to the future of metaheuristics in the contours of scientific development de Souza Sampaio, Nilo Antonio Algorithm Metaheuristics Modelling Optimization |
title_short |
Contributions to the future of metaheuristics in the contours of scientific development |
title_full |
Contributions to the future of metaheuristics in the contours of scientific development |
title_fullStr |
Contributions to the future of metaheuristics in the contours of scientific development |
title_full_unstemmed |
Contributions to the future of metaheuristics in the contours of scientific development |
title_sort |
Contributions to the future of metaheuristics in the contours of scientific development |
author |
de Souza Sampaio, Nilo Antonio |
author_facet |
de Souza Sampaio, Nilo Antonio da Motta Reis, José Salvador [UNESP] Espuny, Maximilian [UNESP] Cardoso, Ronald Paland Gomes, Fabricio Maciel Pereira, Felix Monteiro Ferreira, Luís César Barbosa, Motta Santos, Gilberto Silva, Messias Borges [UNESP] |
author_role |
author |
author2 |
da Motta Reis, José Salvador [UNESP] Espuny, Maximilian [UNESP] Cardoso, Ronald Paland Gomes, Fabricio Maciel Pereira, Felix Monteiro Ferreira, Luís César Barbosa, Motta Santos, Gilberto Silva, Messias Borges [UNESP] |
author2_role |
author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Estado do Rio de Janeiro (UERJ) Universidade Estadual Paulista (UNESP) Universidade de São Paulo (USP) Centro Federal de Educação Tecnológica Celso Suckow da Fonseca – CEFET-RJ Polytechnic Institute of Cavado and Ave – IPCA |
dc.contributor.author.fl_str_mv |
de Souza Sampaio, Nilo Antonio da Motta Reis, José Salvador [UNESP] Espuny, Maximilian [UNESP] Cardoso, Ronald Paland Gomes, Fabricio Maciel Pereira, Felix Monteiro Ferreira, Luís César Barbosa, Motta Santos, Gilberto Silva, Messias Borges [UNESP] |
dc.subject.por.fl_str_mv |
Algorithm Metaheuristics Modelling Optimization |
topic |
Algorithm Metaheuristics Modelling Optimization |
description |
Metaheuristic algorithms solve optimisation problems by identifying the best combination among a set of variables to enhance a function. Within metaheuristics, the main purpose of this work is that of showing the development of research issues about processes related to optimisation and metaheuristics, with a focus on the projection of those issues with greater possibility of development. Optimization processes is one of the most studied fields in artificial intelligence, optimization, logistics, and other applications The main contributions of this work were the identification of the main issues contained in the themes of process optimization and metaheuristics; an analysis of the expansion and retraction of the aforementioned theme; an understanding of convergence and divergence; and an analysis of the stages of development as presented in the gaps of the fifty most commonly mentioned articles. The main finding was to analyze the development of research topics on optimization processes and metaheuristics, focusing on projecting the topics most likely to develop. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 2023-03-01T23:40:42Z 2023-03-01T23:40:42Z |
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://dx.doi.org/10.1590/1806-9649-2022V29E099 Gestao e Producao, v. 29. 1806-9649 0104-530X http://hdl.handle.net/11449/241751 10.1590/1806-9649-2022V29E099 2-s2.0-85128508680 |
url |
http://dx.doi.org/10.1590/1806-9649-2022V29E099 http://hdl.handle.net/11449/241751 |
identifier_str_mv |
Gestao e Producao, v. 29. 1806-9649 0104-530X 10.1590/1806-9649-2022V29E099 2-s2.0-85128508680 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Gestao e Producao |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129357687816192 |