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A genetic algorithm for the resource constrained multi-project scheduling problem

dc.contributor.authorGonçalves, J. F.
dc.contributor.authorMendes, J. J. M.
dc.contributor.authorResende, M. G. C.
dc.date.accessioned2014-03-12T15:51:47Z
dc.date.available2014-03-12T15:51:47Z
dc.date.issued2008
dc.description.abstractThis paper presents a genetic algorithm for the resource constrained multi-project scheduling problem. The chromosome representation of the problem is based on random keys. The schedules are constructed using a heuristic that builds parameterized active schedules based on priorities, delay times, and release dates defined by the genetic algorithm. The approach is tested on a set of randomly generated problems. The computational results validate the effectiveness of the proposed algorithm.por
dc.identifier.doi10.1016/j.ejor.2006.06.074pt_PT
dc.identifier.issn0377-2217
dc.identifier.urihttp://hdl.handle.net/10400.22/4184
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherElsevierpor
dc.relation.ispartofseriesEuropean Journal of Operational Research; Vol. 189, Issue 3
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0377221707005929por
dc.subjectProject managementpor
dc.subjectMetaheuristicspor
dc.subjectGenetic algorithmpor
dc.subjectSchedulingpor
dc.titleA genetic algorithm for the resource constrained multi-project scheduling problempor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1191por
oaire.citation.startPage1171por
oaire.citation.titleEuropean Journal of Operational Researchpor
oaire.citation.volume189por
rcaap.rightsrestrictedAccesspor
rcaap.typearticlepor

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