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: | Gestão & Produção |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2022000100212 |
Resumo: | Abstract 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 developmentOptimizationModellingAlgorithmMetaheuristicsAbstract 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.Universidade Federal de São Carlos2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2022000100212Gestão & Produção v.29 2022reponame:Gestão & Produçãoinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCAR10.1590/1806-9649-2022v29e099info:eu-repo/semantics/openAccessSampaio,Nilo Antonio de SouzaReis,José Salvador da MottaEspuny,MaximilianCardoso,Ronald PalandGomes,Fabricio MacielPereira,Felix MonteiroFerreira,Luís CésarBarbosa,MottaSantos,GilbertoSilva,Messias Borgeseng2022-03-23T00:00:00Zoai:scielo:S0104-530X2022000100212Revistahttps://www.gestaoeproducao.com/PUBhttps://old.scielo.br/oai/scielo-oai.phpgp@dep.ufscar.br||revistagestaoemanalise@unichristus.edu.br1806-96490104-530Xopendoar:2022-03-23T00:00Gestão & Produção - Universidade Federal de São Carlos (UFSCAR)false |
dc.title.none.fl_str_mv |
Contributions to the future of metaheuristics in the contours of scientific development |
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 Sampaio,Nilo Antonio de Souza Optimization Modelling Algorithm Metaheuristics |
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 |
Sampaio,Nilo Antonio de Souza |
author_facet |
Sampaio,Nilo Antonio de Souza Reis,José Salvador da Motta Espuny,Maximilian Cardoso,Ronald Paland Gomes,Fabricio Maciel Pereira,Felix Monteiro Ferreira,Luís César Barbosa,Motta Santos,Gilberto Silva,Messias Borges |
author_role |
author |
author2 |
Reis,José Salvador da Motta Espuny,Maximilian Cardoso,Ronald Paland Gomes,Fabricio Maciel Pereira,Felix Monteiro Ferreira,Luís César Barbosa,Motta Santos,Gilberto Silva,Messias Borges |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Sampaio,Nilo Antonio de Souza Reis,José Salvador da Motta Espuny,Maximilian Cardoso,Ronald Paland Gomes,Fabricio Maciel Pereira,Felix Monteiro Ferreira,Luís César Barbosa,Motta Santos,Gilberto Silva,Messias Borges |
dc.subject.por.fl_str_mv |
Optimization Modelling Algorithm Metaheuristics |
topic |
Optimization Modelling Algorithm Metaheuristics |
description |
Abstract 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 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2022000100212 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2022000100212 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1806-9649-2022v29e099 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Universidade Federal de São Carlos |
publisher.none.fl_str_mv |
Universidade Federal de São Carlos |
dc.source.none.fl_str_mv |
Gestão & Produção v.29 2022 reponame:Gestão & Produção instname:Universidade Federal de São Carlos (UFSCAR) instacron:UFSCAR |
instname_str |
Universidade Federal de São Carlos (UFSCAR) |
instacron_str |
UFSCAR |
institution |
UFSCAR |
reponame_str |
Gestão & Produção |
collection |
Gestão & Produção |
repository.name.fl_str_mv |
Gestão & Produção - Universidade Federal de São Carlos (UFSCAR) |
repository.mail.fl_str_mv |
gp@dep.ufscar.br||revistagestaoemanalise@unichristus.edu.br |
_version_ |
1750118208134709248 |