Multi-objective metaheuristic algorithms for the resource-constrained project scheduling problem with precedence relations.
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFOP |
Texto Completo: | http://www.repositorio.ufop.br/handle/123456789/4386 https://doi.org/10.1016/j.cor.2013.11.002 |
Resumo: | This study addresses the resource-constrained project scheduling problem with precedence relations, and aims at minimizing two criteria: the makespan and the total weighted start time of the activities. To solve the problem, five multi-objective metaheuristic algorithms are analyzed, based on Multi-objective GRASP (MOG), Multi-objective Variable Neighborhood Search (MOVNS) and Pare to Iterated Local Search (PILS) methods. The proposed algorithms use strategies based on the concept of Pare to Dominance to search for solutions and determine the set of non-dominated solutions. The solutions obtained by the algorithms, from asset of instances adapted from the literature, are compared using four multi-objective performance measures: distance metrics, hyper volume indicator, epsilon metric and error ratio. The computational tests have indicated an algorithm based on MOVNS as the most efficient one, compared to the distance metrics; also, a combined feature of MOG and MOVNS appears to be superior compared to the hyper volume and epsilon metrics and one based on PILS compared to the error ratio. Statistical experiments have shown a significant difference between some proposed algorithms compared to the distance metrics, epsilon metric and error ratio. However, significant difference between the proposed algorithms with respect to hyper volume indicator was not observed. |
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Multi-objective metaheuristic algorithms for the resource-constrained project scheduling problem with precedence relations.Project managementResource constrained project schedulingMulti objective optimizationMetaheuristicsThis study addresses the resource-constrained project scheduling problem with precedence relations, and aims at minimizing two criteria: the makespan and the total weighted start time of the activities. To solve the problem, five multi-objective metaheuristic algorithms are analyzed, based on Multi-objective GRASP (MOG), Multi-objective Variable Neighborhood Search (MOVNS) and Pare to Iterated Local Search (PILS) methods. The proposed algorithms use strategies based on the concept of Pare to Dominance to search for solutions and determine the set of non-dominated solutions. The solutions obtained by the algorithms, from asset of instances adapted from the literature, are compared using four multi-objective performance measures: distance metrics, hyper volume indicator, epsilon metric and error ratio. The computational tests have indicated an algorithm based on MOVNS as the most efficient one, compared to the distance metrics; also, a combined feature of MOG and MOVNS appears to be superior compared to the hyper volume and epsilon metrics and one based on PILS compared to the error ratio. Statistical experiments have shown a significant difference between some proposed algorithms compared to the distance metrics, epsilon metric and error ratio. However, significant difference between the proposed algorithms with respect to hyper volume indicator was not observed.2015-01-26T11:35:19Z2015-01-26T11:35:19Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfGOMES, H. C.; NEVES, F. de A. das; SOUZA, M. J. F. Multi-objective metaheuristic algorithms for the resource-constrained project scheduling problem with precedence relations. Computers & Operations Research, v. 44, p. 92-104, 2014. Disponível em: <http://www.sciencedirect.com/science/article/pii/S0305054813003158#>. Acesso em: 23 jan. 2015.0305-0548http://www.repositorio.ufop.br/handle/123456789/4386https://doi.org/10.1016/j.cor.2013.11.002O periódico Computers & Operations Research concede permissão para depósito do artigo no Repositório Institucional da UFOP. Número da licença: 3553121136993.info:eu-repo/semantics/openAccessGomes, Helton CristianoNeves, Francisco de Assis dasSouza, Marcone Jamilson Freitasengreponame:Repositório Institucional da UFOPinstname:Universidade Federal de Ouro Preto (UFOP)instacron:UFOP2019-06-12T17:41:41Zoai:repositorio.ufop.br:123456789/4386Repositório InstitucionalPUBhttp://www.repositorio.ufop.br/oai/requestrepositorio@ufop.edu.bropendoar:32332019-06-12T17:41:41Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)false |
dc.title.none.fl_str_mv |
Multi-objective metaheuristic algorithms for the resource-constrained project scheduling problem with precedence relations. |
title |
Multi-objective metaheuristic algorithms for the resource-constrained project scheduling problem with precedence relations. |
spellingShingle |
Multi-objective metaheuristic algorithms for the resource-constrained project scheduling problem with precedence relations. Gomes, Helton Cristiano Project management Resource constrained project scheduling Multi objective optimization Metaheuristics |
title_short |
Multi-objective metaheuristic algorithms for the resource-constrained project scheduling problem with precedence relations. |
title_full |
Multi-objective metaheuristic algorithms for the resource-constrained project scheduling problem with precedence relations. |
title_fullStr |
Multi-objective metaheuristic algorithms for the resource-constrained project scheduling problem with precedence relations. |
title_full_unstemmed |
Multi-objective metaheuristic algorithms for the resource-constrained project scheduling problem with precedence relations. |
title_sort |
Multi-objective metaheuristic algorithms for the resource-constrained project scheduling problem with precedence relations. |
author |
Gomes, Helton Cristiano |
author_facet |
Gomes, Helton Cristiano Neves, Francisco de Assis das Souza, Marcone Jamilson Freitas |
author_role |
author |
author2 |
Neves, Francisco de Assis das Souza, Marcone Jamilson Freitas |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Gomes, Helton Cristiano Neves, Francisco de Assis das Souza, Marcone Jamilson Freitas |
dc.subject.por.fl_str_mv |
Project management Resource constrained project scheduling Multi objective optimization Metaheuristics |
topic |
Project management Resource constrained project scheduling Multi objective optimization Metaheuristics |
description |
This study addresses the resource-constrained project scheduling problem with precedence relations, and aims at minimizing two criteria: the makespan and the total weighted start time of the activities. To solve the problem, five multi-objective metaheuristic algorithms are analyzed, based on Multi-objective GRASP (MOG), Multi-objective Variable Neighborhood Search (MOVNS) and Pare to Iterated Local Search (PILS) methods. The proposed algorithms use strategies based on the concept of Pare to Dominance to search for solutions and determine the set of non-dominated solutions. The solutions obtained by the algorithms, from asset of instances adapted from the literature, are compared using four multi-objective performance measures: distance metrics, hyper volume indicator, epsilon metric and error ratio. The computational tests have indicated an algorithm based on MOVNS as the most efficient one, compared to the distance metrics; also, a combined feature of MOG and MOVNS appears to be superior compared to the hyper volume and epsilon metrics and one based on PILS compared to the error ratio. Statistical experiments have shown a significant difference between some proposed algorithms compared to the distance metrics, epsilon metric and error ratio. However, significant difference between the proposed algorithms with respect to hyper volume indicator was not observed. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014 2015-01-26T11:35:19Z 2015-01-26T11:35:19Z |
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 |
GOMES, H. C.; NEVES, F. de A. das; SOUZA, M. J. F. Multi-objective metaheuristic algorithms for the resource-constrained project scheduling problem with precedence relations. Computers & Operations Research, v. 44, p. 92-104, 2014. Disponível em: <http://www.sciencedirect.com/science/article/pii/S0305054813003158#>. Acesso em: 23 jan. 2015. 0305-0548 http://www.repositorio.ufop.br/handle/123456789/4386 https://doi.org/10.1016/j.cor.2013.11.002 |
identifier_str_mv |
GOMES, H. C.; NEVES, F. de A. das; SOUZA, M. J. F. Multi-objective metaheuristic algorithms for the resource-constrained project scheduling problem with precedence relations. Computers & Operations Research, v. 44, p. 92-104, 2014. Disponível em: <http://www.sciencedirect.com/science/article/pii/S0305054813003158#>. Acesso em: 23 jan. 2015. 0305-0548 |
url |
http://www.repositorio.ufop.br/handle/123456789/4386 https://doi.org/10.1016/j.cor.2013.11.002 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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.source.none.fl_str_mv |
reponame:Repositório Institucional da UFOP instname:Universidade Federal de Ouro Preto (UFOP) instacron:UFOP |
instname_str |
Universidade Federal de Ouro Preto (UFOP) |
instacron_str |
UFOP |
institution |
UFOP |
reponame_str |
Repositório Institucional da UFOP |
collection |
Repositório Institucional da UFOP |
repository.name.fl_str_mv |
Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP) |
repository.mail.fl_str_mv |
repositorio@ufop.edu.br |
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1813002807256547328 |