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Optimal car dispatching for elevator groups using genetic algorithms


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dc.creator Bolat, Berna es
dc.creator Cortés, Pablo es
dc.creator Yalçin, Ersun es
dc.creator Alişverişçi, Mustafa es 2016-06-29T18:03:46Z 2016-06-29T18:03:46Z 2010
dc.identifier.citation Bolat, 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.issn 1079-8587 es
dc.description.abstract The 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 implementation es
dc.format application/pdf es
dc.language.iso eng es
dc.publisher Taylor & Francis es
dc.relation.ispartof Intelligent Automation and Soft Computing, 16 (1), 89-99. es
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 Internacional *
dc.rights.uri *
dc.subject Genetic Algorithms es
dc.subject Elevator control systems es
dc.subject Vertical transportation system es
dc.title Optimal car dispatching for elevator groups using genetic algorithms es
dc.type info:eu-repo/semantics/article es
dc.type.version info:eu-repo/semantics/submittedVersion es
dc.rights.accessrights info:eu-repo/semantics/openAccess es
dc.contributor.affiliation Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas II es
dc.relation.publisherversion es
dc.identifier.doi 10.1080/10798587.2010.10643066 es Universidad de Sevilla. TEP127: Ingenieria de Organizacion es
idus.format.extent 13 p. es
dc.journaltitle Intelligent Automation and Soft Computing es
dc.publication.volumen 16 es
dc.publication.issue 1 es
dc.publication.initialPage 89 es
dc.publication.endPage 99 es
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