A genetic symbiotic algorithm applied to the one-dimensional cutting stock problem

Detalhes bibliográficos
Autor(a) principal: Golfeto,Rodrigo Rabello
Data de Publicação: 2009
Outros Autores: Moretti,Antonio Carlos, Salles Neto,Luiz Leduíno de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382009000200006
Resumo: This work presents a genetic symbiotic algorithm to minimize the number of objects and the setup in a one-dimensional cutting stock problem. The algorithm implemented can generate combinations of ordered lengths of stock (the cutting pattern) and, at the same time, the frequency of the cutting patterns, through a symbiotic process between two distinct populations, solutions and cutting patterns. Working with two objectives in the fitness function and with a symbiotic relationship between the two populations, we obtained positive results when compared with other methods described in the literature.
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spelling A genetic symbiotic algorithm applied to the one-dimensional cutting stock problemcutting stock problemgenetic algorithmsymbiosisThis work presents a genetic symbiotic algorithm to minimize the number of objects and the setup in a one-dimensional cutting stock problem. The algorithm implemented can generate combinations of ordered lengths of stock (the cutting pattern) and, at the same time, the frequency of the cutting patterns, through a symbiotic process between two distinct populations, solutions and cutting patterns. Working with two objectives in the fitness function and with a symbiotic relationship between the two populations, we obtained positive results when compared with other methods described in the literature.Sociedade Brasileira de Pesquisa Operacional2009-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382009000200006Pesquisa Operacional v.29 n.2 2009reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/S0101-74382009000200006info:eu-repo/semantics/openAccessGolfeto,Rodrigo RabelloMoretti,Antonio CarlosSalles Neto,Luiz Leduíno deeng2009-10-02T00:00:00Zoai:scielo:S0101-74382009000200006Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2009-10-02T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv A genetic symbiotic algorithm applied to the one-dimensional cutting stock problem
title A genetic symbiotic algorithm applied to the one-dimensional cutting stock problem
spellingShingle A genetic symbiotic algorithm applied to the one-dimensional cutting stock problem
Golfeto,Rodrigo Rabello
cutting stock problem
genetic algorithm
symbiosis
title_short A genetic symbiotic algorithm applied to the one-dimensional cutting stock problem
title_full A genetic symbiotic algorithm applied to the one-dimensional cutting stock problem
title_fullStr A genetic symbiotic algorithm applied to the one-dimensional cutting stock problem
title_full_unstemmed A genetic symbiotic algorithm applied to the one-dimensional cutting stock problem
title_sort A genetic symbiotic algorithm applied to the one-dimensional cutting stock problem
author Golfeto,Rodrigo Rabello
author_facet Golfeto,Rodrigo Rabello
Moretti,Antonio Carlos
Salles Neto,Luiz Leduíno de
author_role author
author2 Moretti,Antonio Carlos
Salles Neto,Luiz Leduíno de
author2_role author
author
dc.contributor.author.fl_str_mv Golfeto,Rodrigo Rabello
Moretti,Antonio Carlos
Salles Neto,Luiz Leduíno de
dc.subject.por.fl_str_mv cutting stock problem
genetic algorithm
symbiosis
topic cutting stock problem
genetic algorithm
symbiosis
description This work presents a genetic symbiotic algorithm to minimize the number of objects and the setup in a one-dimensional cutting stock problem. The algorithm implemented can generate combinations of ordered lengths of stock (the cutting pattern) and, at the same time, the frequency of the cutting patterns, through a symbiotic process between two distinct populations, solutions and cutting patterns. Working with two objectives in the fitness function and with a symbiotic relationship between the two populations, we obtained positive results when compared with other methods described in the literature.
publishDate 2009
dc.date.none.fl_str_mv 2009-08-01
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=S0101-74382009000200006
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382009000200006
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-74382009000200006
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 Sociedade Brasileira de Pesquisa Operacional
publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
dc.source.none.fl_str_mv Pesquisa Operacional v.29 n.2 2009
reponame:Pesquisa operacional (Online)
instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron:SOBRAPO
instname_str Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron_str SOBRAPO
institution SOBRAPO
reponame_str Pesquisa operacional (Online)
collection Pesquisa operacional (Online)
repository.name.fl_str_mv Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
repository.mail.fl_str_mv ||sobrapo@sobrapo.org.br
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