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dc.creatorBolat, Bernaes
dc.creatorCortés, Pabloes
dc.creatorYalçin, Ersunes
dc.creatorAlişverişçi, Mustafaes
dc.date.accessioned2016-06-29T18:03:46Z
dc.date.available2016-06-29T18:03:46Z
dc.date.issued2010
dc.identifier.citationBolat, B., Cortés, P., Yalçin, E. y Alişverişçi, M. (2010). Optimal car dispatching for elevator groups using genetic algorithms. Intelligent Automation and Soft Computing, 16 (1), 89-99.
dc.identifier.issn1079-8587es
dc.identifier.urihttp://hdl.handle.net/11441/42944
dc.description.abstractThe car dispatching problem in an elevator group consists of assigning cars to the hall calls at the same time that car call are served. The problem needs to coordinate the movements of individual cars with the objective of operating efficiently the whole group. In this paper, we propose an elevator group control system based on a genetic algorithm which makes use of a novel fitness function to evaluate the individuals. The fitness function allows a quick execution of the algorithm. Tests are provided for various types of high-rise buildings to assess the elevator service performance. Comparative simulations show that our genetic algorithm outperforms traditional conventional algorithms developed in the industry. It is important to note that the algorithm is quickly evaluated allowing a real-life implementationes
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherTaylor & Francises
dc.relation.ispartofIntelligent Automation and Soft Computing, 16 (1), 89-99.es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectGenetic Algorithmses
dc.subjectElevator control systemses
dc.subjectVertical transportation systemes
dc.titleOptimal car dispatching for elevator groups using genetic algorithmses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas IIes
dc.relation.publisherversionhttp://dx.doi.org/10.1080/10798587.2010.10643066es
dc.identifier.doi10.1080/10798587.2010.10643066es
dc.contributor.groupUniversidad de Sevilla. TEP127: Ingenieria de Organizaciones
idus.format.extent13 p.es
dc.journaltitleIntelligent Automation and Soft Computinges
dc.publication.volumen16es
dc.publication.issue1es
dc.publication.initialPage89es
dc.publication.endPage99es
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/42944

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