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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/31316
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dc.contributor.authorLi, Jingpengen_UK
dc.contributor.authorAickelin, Uween_UK
dc.contributor.editorCantúPaz, Ericken_UK
dc.contributor.editorPelikan, Martinen_UK
dc.contributor.editorSastry, Kumaraen_UK
dc.date.accessioned2020-06-20T00:12:21Z-
dc.date.available2020-06-20T00:12:21Z-
dc.date.issued2006en_UK
dc.identifier.urihttp://hdl.handle.net/1893/31316-
dc.description.abstractOur research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimization Algorithm (BOA) for the nurse scheduling problem that chooses such suitable scheduling rules from a set for each nurse’s assignment. Based on the idea of using probabilistic models, the BOA builds a Bayesian network for the set of promising solutions and samples these networks to generate new candidate solutions. Computational results from 52 real data instances demonstrate the success of this approach. It is also suggested that the learning mechanism in the proposed algorithm may be suitable for other scheduling problems.en_UK
dc.language.isoenen_UK
dc.publisherSpringeren_UK
dc.relationLi J & Aickelin U (2006) BOA for Nurse Scheduling. In: CantúPaz E, Pelikan M & Sastry K (eds.) Scalable Optimization via Probabilistic Modeling. Studies in Computational Intelligence, 33. Berlin Heidelberg: Springer, pp. 315-332. https://doi.org/10.1007/978-3-540-34954-9_14en_UK
dc.relation.ispartofseriesStudies in Computational Intelligence, 33en_UK
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.en_UK
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_UK
dc.subjectNurse Schedulingen_UK
dc.subjectBayesian Optimization Algorithmen_UK
dc.subjectProbabilistic Modelingen_UK
dc.titleBOA for Nurse Schedulingen_UK
dc.typePart of book or chapter of booken_UK
dc.rights.embargodate2999-12-31en_UK
dc.rights.embargoreason[Li-Aickelin_Chapter_2006.pdf] The 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.en_UK
dc.identifier.doi10.1007/978-3-540-34954-9_14en_UK
dc.citation.jtitleScalable Optimization via Probabilistic Modeling; Studies in Computational Intelligenceen_UK
dc.citation.issn1860-9503en_UK
dc.citation.issn1860-949Xen_UK
dc.citation.issn1860-949Xen_UK
dc.citation.spage315en_UK
dc.citation.epage332en_UK
dc.citation.publicationstatusPublisheden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailjli@cs.stir.ac.uken_UK
dc.citation.btitleScalable Optimization via Probabilistic Modelingen_UK
dc.citation.isbn9783540349532en_UK
dc.citation.isbn9783540349549en_UK
dc.publisher.addressBerlin Heidelbergen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.scopusid2-s2.0-33846267661en_UK
dc.identifier.wtid1454959en_UK
dc.contributor.orcid0000-0002-6758-0084en_UK
dcterms.dateAccepted2006-12-31en_UK
dc.date.filedepositdate2020-06-19en_UK
rioxxterms.typeBook chapteren_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorLi, Jingpeng|0000-0002-6758-0084en_UK
local.rioxx.authorAickelin, Uwe|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.contributorCantúPaz, Erick|en_UK
local.rioxx.contributorPelikan, Martin|en_UK
local.rioxx.contributorSastry, Kumara|en_UK
local.rioxx.freetoreaddate2256-12-01en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filenameLi-Aickelin_Chapter_2006.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source9783540349549en_UK
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