Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/26187

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dc.contributor.authorAlves, Rui Miguel de Freitas-
dc.contributor.authorAlvelos, Filipe Pereira e-
dc.contributor.authorSousa, Sérgio-
dc.date.accessioned2013-11-20T11:51:31Z-
dc.date.available2013-11-20T11:51:31Z-
dc.date.issued2013-
dc.identifier.isbn9783642406683por
dc.identifier.issn0302-9743por
dc.identifier.urihttps://hdl.handle.net/1822/26187-
dc.descriptionPublicado em "Progress in artificial intelligence : 16th Portuguese Conference on Artificial Intelligence, EPIA 2013...", ISBN 978-3-642-40668-3por
dc.description.abstractThis paper presents an approach, based on propositional satisfiability (SAT), for the resource constrained project scheduling problem with general precedence relations. This approach combines propositional satisfiability formulations with a bisection method, in order to achieve an optimal solution. The empirical results suggest that when the optimal schedule is significantly affected by the availability of resources, this strategy outperforms the typical integer linear programming approach.por
dc.language.isoengpor
dc.publisherSpringerpor
dc.rightsrestrictedAccesspor
dc.subjectProject schedulingpor
dc.subjectSATpor
dc.titleResource constrained project scheduling with general precedence relations optimized with SATpor
dc.typeconferencePaper-
dc.peerreviewedyespor
sdum.publicationstatuspublishedpor
oaire.citationStartPage199por
oaire.citationEndPage210por
oaire.citationVolume8154por
dc.identifier.doi10.1007/978-3-642-40669-0_18por
dc.subject.wosScience & Technologypor
sdum.journalLecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)por
sdum.conferencePublicationPROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2013por
Aparece nas coleções:LES/ALG - Artigos em revistas científicas internacionais com arbitragem

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