A genetic symbiotic algorithm applied to the one-dimensional cutting stock problem
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , |
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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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 |
_version_ |
1750318016982155264 |