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dc.contributor.author | Reynoso Meza, Gilberto | es_ES |
dc.contributor.author | Sanchís Saez, Javier | es_ES |
dc.contributor.author | Blasco Ferragud, Francesc Xavier | es_ES |
dc.contributor.author | Garcia Nieto, Sergio | es_ES |
dc.date.accessioned | 2015-11-10T09:46:26Z | |
dc.date.available | 2015-11-10T09:46:26Z | |
dc.date.issued | 2014-11 | |
dc.identifier.issn | 1568-4946 | |
dc.identifier.uri | http://hdl.handle.net/10251/57265 | |
dc.description.abstract | Preference articulation in multi-objective optimization could be used to improve the pertinency of solutions in an approximated Pareto front. That is, computing the most interesting solutions from the designer's point of view in order to facilitate the Pareto front analysis and the selection of a design alternative. This articulation can be achieved in an a priori, progressive, or a posteriori manner. If it is used within an a priori frame, it could focus the optimization process toward the most promising areas of the Pareto front, saving computational resources and assuring a useful Pareto front approximation for the designer. In this work, a physical programming approach embedded in an evolutionary multi-objective optimization is presented as a tool for preference inclusion. The results presented and the algorithm developed validate the proposal as a potential tool for engineering design by means of evolutionary multi-objective optimization. | es_ES |
dc.description.sponsorship | This work was partially supported by the FPI-2010/19 grant and the PAID-2011/2732 project from the Universitat Polittccnica de Valencia and the projects TIN2011-28082 and ENE2011-25900 from the Spanish Ministry of Economy and Competitiveness. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Applied Soft Computing | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Multi-objective optimization design procedure | es_ES |
dc.subject | Evolutionary multi-objective optimization | es_ES |
dc.subject | Physical programming | es_ES |
dc.subject | Many-objective optimization | es_ES |
dc.subject | Preference articulation | es_ES |
dc.subject | Decision making | es_ES |
dc.subject.classification | INGENIERIA DE SISTEMAS Y AUTOMATICA | es_ES |
dc.title | Physical programming for preference driven evolutionary multi-objective optimization | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.asoc.2014.07.009 | |
dc.relation.projectID | info:eu-repo/grantAgreement/UPV//PAID-2011%2F2732/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TIN2011-28082/ES/DISEÑO E IMPLEMENTACION DE PILOTOS AUTOMATICOS PARA VEHICULOS AEREOS NO TRIPULADOS (UAVS) MEDIANTE TECNICAS DE OPTIMIZACION Y CONTROL AVANZADO/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//ENE2011-25900/ES/GESTION OPTIMA MEDIANTE CONTROLADORES AVANZADOS DE PILAS DE COMBUSTIBLE TIPO PEM PARA APLICACIONES MOVILES Y ESTATICAS/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario de Automática e Informática Industrial - Institut Universitari d'Automàtica i Informàtica Industrial | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica | es_ES |
dc.description.bibliographicCitation | Reynoso Meza, G.; Sanchís Saez, J.; Blasco Ferragud, FX.; Garcia Nieto, S. (2014). Physical programming for preference driven evolutionary multi-objective optimization. Applied Soft Computing. 24:341-362. https://doi.org/10.1016/j.asoc.2014.07.009 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.description.upvformatpinicio | 341 | es_ES |
dc.description.upvformatpfin | 362 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 24 | es_ES |
dc.relation.senia | 269288 | |
dc.identifier.eissn | 1872-9681 | |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |
dc.contributor.funder | Universitat Politècnica de València | es_ES |