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Solving a bi-objective nurse rerostering problem by using a utopic Pareto genetic heuristic

dc.contributor.authorPato, Margarida Vaz
dc.contributor.authorMoz, Margarida
dc.date.accessioned2024-12-16T09:14:19Z
dc.date.available2024-12-16T09:14:19Z
dc.date.issued2008
dc.description.abstractNurse rerostering arises when at least one nurse announces that she will be unable to undertake the tasks previously assigned to her. The problem amounts to building a new roster that satisfies the hard constraints already met by the current one and, as much as possible, fulfils two groups of soft constraints which define the two objectives to be attained. A bi-objective genetic heuristic was designed on the basis of a population of individuals characterised by pairs of chromosomes, whose fitness complies with the Pareto ranking of the respective decoded solution. It includes an elitist policy, as well as a new utopic strategy, introduced for purposes of diversification. The computational experiments produced promising results for the practical application of this approach to real life instances arising from a public hospital in Lisbon.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPato, Margarida Vaz and Margarida Moz .( 2008). “Solving a bi-objective nurse rerostering problem by using a utopic Pareto genetic heuristic”, Journal of Heuristics, Volume 14: pp. 359–374. 2008
dc.identifier.issn1572-9397
dc.identifier.urihttp://hdl.handle.net/10400.5/96350
dc.language.isoengpt_PT
dc.publisherSpringer Naturept_PT
dc.subjectNurse Schedulingpt_PT
dc.subjectRerosteringpt_PT
dc.subjectBi-Objective Heuristicspt_PT
dc.subjectGenetic Algorithmspt_PT
dc.titleSolving a bi-objective nurse rerostering problem by using a utopic Pareto genetic heuristicpt_PT
dc.typejournal article
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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