A random key based genetic algorithm for the resource constrained project scheduling problem

Detalhes bibliográficos
Autor(a) principal: Mendes, J. J. M.
Data de Publicação: 2009
Outros Autores: Gonçalves, J. F., Resende, M. G. C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/4520
Resumo: This paper presents a genetic algorithm for the Resource Constrained Project Scheduling Problem (RCPSP). The chromosome representation of the problem is based on random keys. The schedule is constructed using a heuristic priority rule in which the priorities of the activities are defined by the genetic algorithm. The heuristic generates parameterized active schedules. The approach was tested on a set of standard problems taken from the literature and compared with other approaches. The computational results validate the effectiveness of the proposed algorithm.
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spelling A random key based genetic algorithm for the resource constrained project scheduling problemProject managementSchedulingGenetic algorithmsRandom keysRCPSPThis paper presents a genetic algorithm for the Resource Constrained Project Scheduling Problem (RCPSP). The chromosome representation of the problem is based on random keys. The schedule is constructed using a heuristic priority rule in which the priorities of the activities are defined by the genetic algorithm. The heuristic generates parameterized active schedules. The approach was tested on a set of standard problems taken from the literature and compared with other approaches. The computational results validate the effectiveness of the proposed algorithm.ElsevierRepositório Científico do Instituto Politécnico do PortoMendes, J. J. M.Gonçalves, J. F.Resende, M. G. C.2014-06-06T11:26:33Z20092009-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/4520eng10.1016/j.cor.2007.07.001info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:44:35Zoai:recipp.ipp.pt:10400.22/4520Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:25:20.011779Repositório 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 random key based genetic algorithm for the resource constrained project scheduling problem
title A random key based genetic algorithm for the resource constrained project scheduling problem
spellingShingle A random key based genetic algorithm for the resource constrained project scheduling problem
Mendes, J. J. M.
Project management
Scheduling
Genetic algorithms
Random keys
RCPSP
title_short A random key based genetic algorithm for the resource constrained project scheduling problem
title_full A random key based genetic algorithm for the resource constrained project scheduling problem
title_fullStr A random key based genetic algorithm for the resource constrained project scheduling problem
title_full_unstemmed A random key based genetic algorithm for the resource constrained project scheduling problem
title_sort A random key based genetic algorithm for the resource constrained project scheduling problem
author Mendes, J. J. M.
author_facet Mendes, J. J. M.
Gonçalves, J. F.
Resende, M. G. C.
author_role author
author2 Gonçalves, J. F.
Resende, M. G. C.
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Mendes, J. J. M.
Gonçalves, J. F.
Resende, M. G. C.
dc.subject.por.fl_str_mv Project management
Scheduling
Genetic algorithms
Random keys
RCPSP
topic Project management
Scheduling
Genetic algorithms
Random keys
RCPSP
description This paper presents a genetic algorithm for the Resource Constrained Project Scheduling Problem (RCPSP). The chromosome representation of the problem is based on random keys. The schedule is constructed using a heuristic priority rule in which the priorities of the activities are defined by the genetic algorithm. The heuristic generates parameterized active schedules. The approach was tested on a set of standard problems taken from the literature and compared with other approaches. The computational results validate the effectiveness of the proposed algorithm.
publishDate 2009
dc.date.none.fl_str_mv 2009
2009-01-01T00:00:00Z
2014-06-06T11:26:33Z
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://hdl.handle.net/10400.22/4520
url http://hdl.handle.net/10400.22/4520
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.cor.2007.07.001
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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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
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