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

dc.contributor.authorMendes, J. J. M.
dc.contributor.authorGonçalves, J. F.
dc.contributor.authorResende, M. G. C.
dc.date.accessioned2014-06-06T11:26:33Z
dc.date.available2014-06-06T11:26:33Z
dc.date.issued2009
dc.description.abstractThis 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.por
dc.identifier.doi10.1016/j.cor.2007.07.001pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/4520
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherElsevierpor
dc.relation.ispartofseriesComputers & Operations Research; Vol. 36, Issue 1
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0305054807001359por
dc.subjectProject managementpor
dc.subjectSchedulingpor
dc.subjectGenetic algorithmspor
dc.subjectRandom keyspor
dc.subjectRCPSPpor
dc.titleA random key based genetic algorithm for the resource constrained project scheduling problempor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage109por
oaire.citation.issueIssue 1
oaire.citation.startPage92por
oaire.citation.titleComputers & Operations Researchpor
oaire.citation.volume36por
rcaap.rightsopenAccesspor
rcaap.typearticlepor

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