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dc.contributor.authorCeschia, Sara
dc.contributor.authorDang, Nguyen
dc.contributor.authorDe Causmaecker, Patrick
dc.contributor.authorHaspeslagh, Stefaan
dc.contributor.authorSchaerf, Andrea
dc.date.accessioned2020-11-05T16:30:13Z
dc.date.available2020-11-05T16:30:13Z
dc.date.issued2018-03-20
dc.identifier269135116
dc.identifier2699f200-d292-4b0f-a610-6312a0870df7
dc.identifier85046034369
dc.identifier.citationCeschia , S , Dang , N , De Causmaecker , P , Haspeslagh , S & Schaerf , A 2018 , ' The Second International Nurse Rostering Competition ' , Annals of Operations Research , vol. 274 , pp. 171–186 . https://doi.org/10.1007/s10479-018-2816-0en
dc.identifier.issn0254-5330
dc.identifier.otherORCID: /0000-0002-2693-6953/work/77525215
dc.identifier.urihttps://hdl.handle.net/10023/20910
dc.description.abstractThis paper reports on the Second International Nurse Rostering Competition (INRC-II). Its contributions are (1) a new problem formulation which, differently from INRC-I, is a multi-stage procedure, (2) a competition environment that, as in INRC-I, will continue to serve as a growing testbed for search approaches to the INRC-II problem, and (3) final results of the competition. We discuss also the competition environment, which is an infrastructure including problem and instance definitions, testbeds, validation/simulation tools and rules. The hardness of the competition instances has been evaluated through the behaviour of our own solvers, and confirmed by the solvers of the participants. Finally, we discuss general issues about both nurse rostering problems and optimisation competitions in general.
dc.format.extent16
dc.format.extent266084
dc.language.isoeng
dc.relation.ispartofAnnals of Operations Researchen
dc.subjectNurse rosteringen
dc.subjectOptimisation competitionen
dc.subjectMulti-stage optimisationen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectR Medicineen
dc.subjectT-NDASen
dc.subject.lccQA75en
dc.subject.lccRen
dc.titleThe Second International Nurse Rostering Competitionen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1007/s10479-018-2816-0
dc.description.statusPeer revieweden


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