Mostrar el registro sencillo del ítem
dc.contributor.author | Ponz Tienda, José Luis | es_ES |
dc.contributor.author | Yepes Piqueras, Víctor | es_ES |
dc.contributor.author | Pellicer Armiñana, Eugenio | es_ES |
dc.contributor.author | Moreno Flores, Joaquín | es_ES |
dc.date.accessioned | 2014-03-24T08:19:55Z | |
dc.date.issued | 2013-01 | |
dc.identifier.issn | 0926-5805 | |
dc.identifier.uri | http://hdl.handle.net/10251/36586 | |
dc.description.abstract | Resource management ensures that a project is completed on time and at cost, and that its quality is as previously defined; nevertheless, resources are scarce and their use in the activities of the project leads to conflicts in the schedule. Resource Leveling Problems consider how to make the resource consumption as efficient as possible. This paper presents a new Adaptive Genetic Algorithm for the Resource Leveling Problem with multiple resources, and its novelty lies in using the Weibull distribution to establish an estimation of the global optimum as a termination condition. The extension of the project deadline with a penalty is allowed, avoiding the increase in the project criticality punishing the shift of activities. The algorithmis tested with the standard Project Scheduling Problem Library PSPLIB, and a complete analysis and benchmarking test instances are presented. The proposed algorithm is implemented using VBA for Excel 2010 in order to provide a flexible and powerful decision support system that enables practitioners to choose between different feasible solutions to a problem, and in addition it is easily adjustable to the constraints and particular needs of each project in realistic environments. | es_ES |
dc.description.sponsorship | This study was partially funded by the Spanish Ministry of Science and Innovation (research project BIA2011-23602). | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Automation in Construction | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Project scheduling | es_ES |
dc.subject | Resource leveling | es_ES |
dc.subject | Genetic algorithms | es_ES |
dc.subject | Benchmarking | es_ES |
dc.subject.classification | CONSTRUCCIONES ARQUITECTONICAS | es_ES |
dc.subject.classification | INGENIERIA DE LA CONSTRUCCION | es_ES |
dc.subject.classification | MATEMATICA APLICADA | es_ES |
dc.subject.classification | PROYECTOS DE INGENIERIA | es_ES |
dc.title | The Resource Leveling Problem with multiple resources using an adaptive genetic algorithm | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.autcon.2012.10.003 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//BIA2011-23602/ES/DISEÑO EFICIENTE DE ESTRUCTURAS CON HORMIGONES NO CONVENCIONALES BASADOS EN CRITERIOS SOSTENIBLES MULTIOBJETIVO MEDIANTE EL EMPLEO DE TECNICAS DE MINERIA DE DATOS/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Construcciones Arquitectónicas - Departament de Construccions Arquitectòniques | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil - Departament d'Enginyeria de la Construcció i de Projectes d'Enginyeria Civil | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada | es_ES |
dc.description.bibliographicCitation | Ponz Tienda, JL.; Yepes Piqueras, V.; Pellicer Armiñana, E.; Moreno Flores, J. (2013). The Resource Leveling Problem with multiple resources using an adaptive genetic algorithm. Automation in Construction. 29(1):161-172. https://doi.org/10.1016/j.autcon.2012.10.003 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.autcon.2012.10.003 | es_ES |
dc.description.upvformatpinicio | 161 | es_ES |
dc.description.upvformatpfin | 172 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 29 | es_ES |
dc.description.issue | 1 | es_ES |
dc.relation.senia | 227686 | |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |