A two-level genetic algorithm for the multi-mode resource-constrained project scheduling problem

Detalhes bibliográficos
Autor(a) principal: Magalhães-Mendes, J.
Data de Publicação: 2011
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/4298
Resumo: This paper presents a genetic algorithm for the multimode resource-constrained project scheduling problem (MRCPSP), in which multiple execution modes are available for each of the activities of the project. The objective function is the minimization of the construction project completion time. To solve the problem, is applied a two-level genetic algorithm, which makes use of two separate levels and extend the parameterized schedule generation scheme by introducing an improvement procedure. It is evaluated the quality of the schedule and present detailed comparative computational results for the MRCPSP, which reveal that this approach is a competitive algorithm.
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spelling A two-level genetic algorithm for the multi-mode resource-constrained project scheduling problemConstruction managementProject schedulingMulti-mode RCPSPResource constraintsGenetic algorithmsThis paper presents a genetic algorithm for the multimode resource-constrained project scheduling problem (MRCPSP), in which multiple execution modes are available for each of the activities of the project. The objective function is the minimization of the construction project completion time. To solve the problem, is applied a two-level genetic algorithm, which makes use of two separate levels and extend the parameterized schedule generation scheme by introducing an improvement procedure. It is evaluated the quality of the schedule and present detailed comparative computational results for the MRCPSP, which reveal that this approach is a competitive algorithm.University PressRepositório Científico do Instituto Politécnico do PortoMagalhães-Mendes, J.2014-04-01T15:32:02Z20112011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/4298eng2074-130810400.22/4298info: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:RCAAP2023-03-13T12:44:24Zoai:recipp.ipp.pt:10400.22/4298Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:25:11.540524Repositório 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 two-level genetic algorithm for the multi-mode resource-constrained project scheduling problem
title A two-level genetic algorithm for the multi-mode resource-constrained project scheduling problem
spellingShingle A two-level genetic algorithm for the multi-mode resource-constrained project scheduling problem
Magalhães-Mendes, J.
Construction management
Project scheduling
Multi-mode RCPSP
Resource constraints
Genetic algorithms
title_short A two-level genetic algorithm for the multi-mode resource-constrained project scheduling problem
title_full A two-level genetic algorithm for the multi-mode resource-constrained project scheduling problem
title_fullStr A two-level genetic algorithm for the multi-mode resource-constrained project scheduling problem
title_full_unstemmed A two-level genetic algorithm for the multi-mode resource-constrained project scheduling problem
title_sort A two-level genetic algorithm for the multi-mode resource-constrained project scheduling problem
author Magalhães-Mendes, J.
author_facet Magalhães-Mendes, J.
author_role author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Magalhães-Mendes, J.
dc.subject.por.fl_str_mv Construction management
Project scheduling
Multi-mode RCPSP
Resource constraints
Genetic algorithms
topic Construction management
Project scheduling
Multi-mode RCPSP
Resource constraints
Genetic algorithms
description This paper presents a genetic algorithm for the multimode resource-constrained project scheduling problem (MRCPSP), in which multiple execution modes are available for each of the activities of the project. The objective function is the minimization of the construction project completion time. To solve the problem, is applied a two-level genetic algorithm, which makes use of two separate levels and extend the parameterized schedule generation scheme by introducing an improvement procedure. It is evaluated the quality of the schedule and present detailed comparative computational results for the MRCPSP, which reveal that this approach is a competitive algorithm.
publishDate 2011
dc.date.none.fl_str_mv 2011
2011-01-01T00:00:00Z
2014-04-01T15:32:02Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/4298
url http://hdl.handle.net/10400.22/4298
dc.language.iso.fl_str_mv eng
language eng
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10400.22/4298
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv University Press
publisher.none.fl_str_mv University Press
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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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