dc.creatorYamashita, DS
dc.creatorArmentano, VA
dc.creatorLaguna, M
dc.date2006
dc.date36951
dc.date2014-11-18T08:12:11Z
dc.date2015-11-26T16:52:46Z
dc.date2014-11-18T08:12:11Z
dc.date2015-11-26T16:52:46Z
dc.date.accessioned2018-03-28T23:39:46Z
dc.date.available2018-03-28T23:39:46Z
dc.identifierEuropean Journal Of Operational Research. Elsevier Science Bv, v. 169, n. 2, n. 623, n. 637, 2006.
dc.identifier0377-2217
dc.identifierWOS:000232583700017
dc.identifier10.1016/j.ejor.2004.08.019
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/71491
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/71491
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/71491
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1276377
dc.descriptionThis paper considers a project scheduling problem with the objective of minimizing resource availability costs, taking into account a deadline for the project and precedence relations among the activities. Exact methods have been proposed for solving this problem, but we are not aware of existing heuristic methods. Scatter search is used to tackle this problem, and our implementation incorporates advanced strategies such as dynamic updating of the reference set, the use of frequency-based memory within the diversification generator, and a combination method based on path relinking. We also analyze the merit of employing a subset of different types when combining solutions. Extensive computational experiments involving more than 2400 instances are performed. For small instances, the performance of the proposed procedure is compared to optimal solutions generated by an exact cutting plane algorithm and upper and lower bounds from the literature. For medium and larger size instances, we developed simple multi-start heuristics and comparative results are reported. (c) 2004 Elsevier B.V. All rights reserved.
dc.description169
dc.description2
dc.description623
dc.description637
dc.languageen
dc.publisherElsevier Science Bv
dc.publisherAmsterdam
dc.publisherHolanda
dc.relationEuropean Journal Of Operational Research
dc.relationEur. J. Oper. Res.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectproject scheduling
dc.subjectresource availability cost
dc.subjectheuristics
dc.subjectscatter search
dc.subjectGenetic Algorithms
dc.subjectClassification
dc.subjectNetworks
dc.subjectSubject
dc.subjectTime
dc.titleScatter search for project scheduling with resource availability cost
dc.typeArtículos de revistas


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