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Project scheduling using a competitive genetic algorithm

dc.contributor.authorMagalhães-Mendes, J.
dc.date.accessioned2014-03-25T14:38:16Z
dc.date.available2014-03-25T14:38:16Z
dc.date.issued2008
dc.description.abstract- The resource constrained project scheduling problem (RCPSP) is a difficult problem in combinatorial optimization for which extensive investigation has been devoted to the development of efficient algorithms. During the last couple of years many heuristic procedures have been developed for this problem, but still these procedures often fail in finding near-optimal solutions. This paper proposes a genetic algorithm for the resource constrained project scheduling problem. The chromosome representation of the problem is based on random keys. The schedule is constructed using a heuristic priority rule in which the priorities and delay times of the activities are defined by the genetic algorithm. 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 algorithmpor
dc.identifier.doi10400.22/4239
dc.identifier.isbn978-960-474-007-9
dc.identifier.urihttp://hdl.handle.net/10400.22/4239
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherWorld Scientific and Engineering Academy and Society (WSEAS)por
dc.relation.publisherversionhttp://dl.acm.org/citation.cfm?id=1503966por
dc.subjectProject managementpor
dc.subjectSchedulingpor
dc.subjectGenetic algorithmpor
dc.subjectOptimizationpor
dc.subjectRCPSPpor
dc.titleProject scheduling using a competitive genetic algorithmpor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceSantander, Cantabria, Spainpor
oaire.citation.endPage42por
oaire.citation.startPage39por
oaire.citation.title8th WSEAS International Conference on Simulation, Modelling and Optimizationpor
rcaap.rightsclosedAccesspor
rcaap.typearticlepor

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