Calibration of the descent local search algorithm parameters using orthogonal arrays

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dc.contributor.affiliationDepartamento de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil
dc.contributor.affiliationEscuela Técnica Superior de Ingeniería de Caminos, Canales y Puertos
dc.contributor.affiliationInstituto Universitario de Investigación de Ciencia y Tecnología del Hormigón
dc.contributor.authorGisbert Doménech, Carlos Miguel
dc.contributor.authorLozano-Galant, Jose A.es_ES
dc.contributor.authorPaya-Zaforteza, Ignacio
dc.contributor.authorTurmo, Josees_ES
dc.contributor.funderEuropean Regional Development Fundes_ES
dc.contributor.funderMinisterio de Economía y Competitividades_ES
dc.contributor.funderAgencia Estatal de Investigaciónes_ES
dc.date.accessioned2021-02-10T04:31:33Z
dc.date.available2021-02-10T04:31:33Z
dc.date.issued2020-09es_ES
dc.descriptionThis is the peer reviewed version of the following article: Gisbert, CM, Lozano-Galant, JA, Paya-Zaforteza, I, Turmo, J. Calibration of the descent local search algorithm parameters using orthogonal arrays. Comput Aided Civ Inf. 2020; 35: 997-1008, which has been published in final form at https://doi.org/10.1111/mice.12545. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.es_ES
dc.description.abstract[EN] Solving optimization problems using heuristic algorithms requires the selection of its parameters. Traditionally, these parameters are selected by a trial and error process that cannot guarantee the quality of the results obtained because not all the potential combinations of parameters are checked. To fill this gap, this paper proposes the application of Taguchi's orthogonal arrays to calibrate the parameters of a heuristic optimization algorithm (the descent local search algorithm). This process is based on the study of the combinations of discrete values of the heuristic tool parameters and it enables optimization of the heuristic tool performance with a reduced computational effort. To check its efficiency, this methodology is applied to a technical challenge never studied before: the optimization of the tensioning process of cable-stayed bridges. The statistical improvement of the heuristic tool performance is studied by the optimization of the tensioning process of a real cable-stayed bridge. Results show that the proposed calibration technique provided robust values of the objective function (with lower minimum and mean values, and lower standard deviation) with reduced computational cost.en_EN
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationGisbert, CM.; Lozano-Galant, JA.; Paya-Zaforteza, I.; Turmo, J. (2020). Calibration of the descent local search algorithm parameters using orthogonal arrays. Computer-Aided Civil and Infrastructure Engineering. 35(9):997-1008. https://doi.org/10.1111/mice.12545es_ES
dc.description.issue9es_ES
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dc.description.sponsorshipThe authors are indebted to the Spanish Ministry of Economy and Competitiveness for the funding provided through the research projects BIA2013-47290-R and BIA2017-86811-C2-1-R founded with FEDER funds and directed by Professor Jose Turmo and through the research project BIA2017-86811-C2-2-R directed by Jose Antonio Lozano-Galant.es_ES
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dc.identifier.doi10.1111/mice.12545es_ES
dc.identifier.issn1093-9687es_ES
dc.identifier.urihttps://riunet.upv.es/handle/10251/160982
dc.languageIngléses_ES
dc.publisherBlackwell Publishinges_ES
dc.relation.ispartofComputer-Aided Civil and Infrastructure Engineeringes_ES
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dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//BIA2013-47290-R/ES/SISTEMA DE APOYO A LA TOMA DE DECISIONES DURANTE EL CICLO DE VIDA DE LAS INFRAESTRUCTURAS: SMART-INFRASTRUCTURES/es_ES
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dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/BIA2017-86811-C2-2-R/ES/CALIBRACION DE MODELOS BIM MEDIANTE SENSORES DE BAJO COSTE PARA LA OPTIMIZACION ENERGETICA DE EDIFICIOS/es_ES
dc.relation.publisherversionhttps://doi.org/10.1111/mice.12545es_ES
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dc.rightsReserva de todos los derechoses_ES
dc.rights.accessRightsAbiertoes_ES
dc.subject.classificationINGENIERIA DE LA CONSTRUCCIONes_ES
dc.titleCalibration of the descent local search algorithm parameters using orthogonal arrayses_ES
dc.typeArtículoes_ES
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