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Nurse rostering problem

dc.contributor.authorManotas Niño, Vanessa Patricia
dc.date.accessioned2023-06-07T20:35:16Z
dc.date.available2023-06-07T20:35:16Z
dc.date.issued2010
dc.identifier.citationManotas Niño, Vanessa Patricia. (2010). Nurse rostering problems. International journal of artificial intelligence. Volumen: 5(A10). 109-116es_CO
dc.identifier.issn0974-0635.
dc.identifier.otherhttp://www.ceser.in/ceserp/index.php/ijai/article/view/2209
dc.identifier.urihttp://hdl.handle.net/10818/55535
dc.description7 páginases_CO
dc.description.abstractThis paper presents a methodology for solving the Nurse Rostering problem. A case study of a hospital located in the city of Barranquilla, Colombia, is considered, in which several conflicting factors guide the decision-making process. The methodology consists of looking for the best nurses rostering where the overtime is reduced and they are fulfilled the restrictions implanted by the hospital. A heuristic procedure is proposed that considers four of the thousand of restrictions that can be presented in similar problems.es_CO
dc.language.isoenges_CO
dc.publisherInternational journal of artificial intelligencees_CO
dc.relation.ispartofseriesInternational journal of artificial intelligence, Vol 5(A10). 109-116;
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.otherNurse rostering
dc.subject.otherScheduling
dc.subject.otherHeuristic
dc.subject.otherEvolutionary algorithm
dc.titleNurse rostering problemes_CO
dc.typejournales_CO
dc.type.hasVersionpublishedVersiones_CO
dc.rights.accessRightsrestrictedAccesses_CO


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Attribution-NonCommercial-NoDerivatives 4.0 InternacionalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 Internacional