Proposal of a heuristic model using genetic algorithms to solve and operational port problem

Detalhes bibliográficos
Autor(a) principal: Silva,Vanina Macowski Durski
Data de Publicação: 2008
Outros Autores: Coelho,Antônio Sérgio, Mayerle,Sérgio Fernando
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=S0874-51612008000100003
Resumo: This article is characterized by the presentation of some problems found in ports that emphasize the Berth Allocation Problem, for which a heuristic model has been proposed to resolve this problem. This heuristic proposal is based on Genetic Algorithms and its objective is to allow the learning of this subject, besides urging the reader to implement a computer-based tool that uses these heuristics to solve this problem, practically and efficiently.
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spelling Proposal of a heuristic model using genetic algorithms to solve and operational port problemGenetic algorithmberth allocation problemCompetitivenessThis article is characterized by the presentation of some problems found in ports that emphasize the Berth Allocation Problem, for which a heuristic model has been proposed to resolve this problem. This heuristic proposal is based on Genetic Algorithms and its objective is to allow the learning of this subject, besides urging the reader to implement a computer-based tool that uses these heuristics to solve this problem, practically and efficiently.APDIO - Associação Portuguesa de Investigação Operacional2008-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0874-51612008000100003Investigação Operacional v.28 n.1 2008reponame: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=S0874-51612008000100003Silva,Vanina Macowski DurskiCoelho,Antônio SérgioMayerle,Sérgio Fernandoinfo:eu-repo/semantics/openAccess2024-02-06T17:14:09Zoai:scielo:S0874-51612008000100003Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:24:09.963268Repositório 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 Proposal of a heuristic model using genetic algorithms to solve and operational port problem
title Proposal of a heuristic model using genetic algorithms to solve and operational port problem
spellingShingle Proposal of a heuristic model using genetic algorithms to solve and operational port problem
Silva,Vanina Macowski Durski
Genetic algorithm
berth allocation problem
Competitiveness
title_short Proposal of a heuristic model using genetic algorithms to solve and operational port problem
title_full Proposal of a heuristic model using genetic algorithms to solve and operational port problem
title_fullStr Proposal of a heuristic model using genetic algorithms to solve and operational port problem
title_full_unstemmed Proposal of a heuristic model using genetic algorithms to solve and operational port problem
title_sort Proposal of a heuristic model using genetic algorithms to solve and operational port problem
author Silva,Vanina Macowski Durski
author_facet Silva,Vanina Macowski Durski
Coelho,Antônio Sérgio
Mayerle,Sérgio Fernando
author_role author
author2 Coelho,Antônio Sérgio
Mayerle,Sérgio Fernando
author2_role author
author
dc.contributor.author.fl_str_mv Silva,Vanina Macowski Durski
Coelho,Antônio Sérgio
Mayerle,Sérgio Fernando
dc.subject.por.fl_str_mv Genetic algorithm
berth allocation problem
Competitiveness
topic Genetic algorithm
berth allocation problem
Competitiveness
description This article is characterized by the presentation of some problems found in ports that emphasize the Berth Allocation Problem, for which a heuristic model has been proposed to resolve this problem. This heuristic proposal is based on Genetic Algorithms and its objective is to allow the learning of this subject, besides urging the reader to implement a computer-based tool that uses these heuristics to solve this problem, practically and efficiently.
publishDate 2008
dc.date.none.fl_str_mv 2008-06-01
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=S0874-51612008000100003
url http://scielo.pt/scielo.php?script=sci_arttext&pid=S0874-51612008000100003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S0874-51612008000100003
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.28 n.1 2008
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
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