Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/15722
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dc.contributor.authorBurke, Edmund-
dc.contributor.authorCurtois, Tim-
dc.contributor.authorPost, Gerhard-
dc.contributor.authorQu, Rong-
dc.contributor.authorVeltman, Bart-
dc.date.accessioned2018-02-09T23:41:41Z-
dc.date.issued2008-07-
dc.identifier.urihttp://hdl.handle.net/1893/15722-
dc.description.abstractThis paper is concerned with the development of intelligent decision support methodologies for nurse rostering problems in large modern hospital environments. We present an approach which hybridises heuristic ordering with variable neighbourhood search. We show that the search can be extended and the solution quality can be significantly improved by the careful combination and repeated use of heuristic ordering, variable neighbourhood search and back-tracking. The amount of computational time that is allowed plays a significant role and we analyse and discuss this. The algorithms are evaluated against a commercial Genetic Algorithm on commercial data. We demonstrate that this methodology can significantly outperform the commercial algorithm. This paper is one of the few in the scientific nurse rostering literature which deal with commercial data and which compare against a commercially implemented algorithm.en_UK
dc.language.isoen-
dc.publisherElsevier-
dc.relationBurke E, Curtois T, Post G, Qu R & Veltman B (2008) A hybrid heuristic ordering and variable neighbourhood search for the nurse rostering problem, European Journal of Operational Research, 188 (2), pp. 330-341.-
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.-
dc.subjectVariable neighbourhood searchen_UK
dc.subjectHeuristics and metaheuristicsen_UK
dc.subjectNurse rosteringen_UK
dc.subjectHybrid methodsen_UK
dc.subject.lcshOperations Research/Decision Theory-
dc.subject.lcshOrganization/Planning-
dc.subject.lcshNursing Decision making-
dc.titleA hybrid heuristic ordering and variable neighbourhood search for the nurse rostering problemen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2999-12-31T00:00:00Z-
dc.rights.embargoreasonThe publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.-
dc.identifier.doihttp://dx.doi.org/10.1016/j.ejor.2007.04.030-
dc.citation.jtitleEuropean Journal of Operational Research-
dc.citation.issn0377-2217-
dc.citation.volume188-
dc.citation.issue2-
dc.citation.spage330-
dc.citation.epage341-
dc.citation.publicationstatusPublished-
dc.citation.peerreviewedRefereed-
dc.type.statusPublisher version (final published refereed version)-
dc.author.emaile.k.burke@stir.ac.uk-
dc.contributor.affiliationComputing Science and Mathematics-
dc.contributor.affiliationUniversity of Nottingham-
dc.contributor.affiliationORTEC, The Netherlands-
dc.contributor.affiliationUniversity of Nottingham-
dc.contributor.affiliationORTEC, The Netherlands-
dc.rights.embargoterms2999-12-31-
dc.rights.embargoliftdate2999-12-31-
dc.identifier.isi000253183500002-
Appears in Collections:Computing Science and Mathematics Journal Articles

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