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A biased random-key genetic algorithm with forward-backward improvement for the resource constrained project scheduling problem

dc.contributor.authorGonçalves, J. F.
dc.contributor.authorResende, M. G. C.
dc.contributor.authorMendes, J. J. M.
dc.date.accessioned2014-03-28T12:16:59Z
dc.date.available2014-03-28T12:16:59Z
dc.date.issued2011
dc.description.abstractThis paper presents a biased random-key genetic algorithm for the resource constrained project scheduling problem. The chromosome representation of the problem is based on random keys. Active schedules are constructed using a priority-rule heuristic in which the priorities of the activities are defined by the genetic algorithm. A forward-backward improvement procedure is applied to all solutions. The chromosomes supplied by the genetic algorithm are adjusted to reflect the solutions obtained by the improvement procedure. The heuristic is 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.doi10.1007/s10732-010-9142-2pt_PT
dc.identifier.issn1572-9397
dc.identifier.issn1381-1231
dc.identifier.urihttp://hdl.handle.net/10400.22/4281
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringerpor
dc.relation.ispartofseriesJournal of Heuristics; Vol. 17, Issue 5
dc.relation.publisherversionhttp://link.springer.com/article/10.1007/s10732-010-9142-2por
dc.titleA biased random-key genetic algorithm with forward-backward improvement for the resource constrained project scheduling problempor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage486por
oaire.citation.startPage467por
oaire.citation.titleJournal of Heuristicspor
oaire.citation.volume17por
rcaap.rightsopenAccesspor
rcaap.typearticlepor

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