A genetic based algorithm for the quadratic 0-1 problem
Autor(a) principal: | |
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Data de Publicação: | 2003 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://scielo.pt/scielo.php?script=sci_arttext&pid=S0874-51612003000100005 |
Resumo: | In this work we present an algorithm to the unrestricted binary quadratic program. This approach combines genetic operators with greedy and heuristic procedures. We started from a genetic based algorithm and replaced the random mutation by a greedy procedure based on each variable contribution to the objective function. We also introduced in the genetic population an individual obtained by a heuristic that finds a local star minimum point. Computational experience with a set of test-problems, known from literature, is reported and analysed. Our results are quite promising. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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A genetic based algorithm for the quadratic 0-1 problemQuadratic 0-1 programmingGenetic AlgorithmsHybrid AlgorithmsIn this work we present an algorithm to the unrestricted binary quadratic program. This approach combines genetic operators with greedy and heuristic procedures. We started from a genetic based algorithm and replaced the random mutation by a greedy procedure based on each variable contribution to the objective function. We also introduced in the genetic population an individual obtained by a heuristic that finds a local star minimum point. Computational experience with a set of test-problems, known from literature, is reported and analysed. Our results are quite promising.APDIO - Associação Portuguesa de Investigação Operacional2003-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0874-51612003000100005Investigação Operacional v.23 n.1 2003reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0874-51612003000100005Schütz,G.Pires,F. M.info:eu-repo/semantics/openAccess2024-02-06T17:14:04Zoai:scielo:S0874-51612003000100005Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:24:06.958538Repositório 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 |
A genetic based algorithm for the quadratic 0-1 problem |
title |
A genetic based algorithm for the quadratic 0-1 problem |
spellingShingle |
A genetic based algorithm for the quadratic 0-1 problem Schütz,G. Quadratic 0-1 programming Genetic Algorithms Hybrid Algorithms |
title_short |
A genetic based algorithm for the quadratic 0-1 problem |
title_full |
A genetic based algorithm for the quadratic 0-1 problem |
title_fullStr |
A genetic based algorithm for the quadratic 0-1 problem |
title_full_unstemmed |
A genetic based algorithm for the quadratic 0-1 problem |
title_sort |
A genetic based algorithm for the quadratic 0-1 problem |
author |
Schütz,G. |
author_facet |
Schütz,G. Pires,F. M. |
author_role |
author |
author2 |
Pires,F. M. |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Schütz,G. Pires,F. M. |
dc.subject.por.fl_str_mv |
Quadratic 0-1 programming Genetic Algorithms Hybrid Algorithms |
topic |
Quadratic 0-1 programming Genetic Algorithms Hybrid Algorithms |
description |
In this work we present an algorithm to the unrestricted binary quadratic program. This approach combines genetic operators with greedy and heuristic procedures. We started from a genetic based algorithm and replaced the random mutation by a greedy procedure based on each variable contribution to the objective function. We also introduced in the genetic population an individual obtained by a heuristic that finds a local star minimum point. Computational experience with a set of test-problems, known from literature, is reported and analysed. Our results are quite promising. |
publishDate |
2003 |
dc.date.none.fl_str_mv |
2003-06-01 |
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://scielo.pt/scielo.php?script=sci_arttext&pid=S0874-51612003000100005 |
url |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S0874-51612003000100005 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S0874-51612003000100005 |
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 |
APDIO - Associação Portuguesa de Investigação Operacional |
publisher.none.fl_str_mv |
APDIO - Associação Portuguesa de Investigação Operacional |
dc.source.none.fl_str_mv |
Investigação Operacional v.23 n.1 2003 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799137319314259968 |