Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/54686
DC FieldValueLanguage
dc.contributor.authorDeb, Kalyanmoyen_US
dc.contributor.authorBandaru, Sunithen_US
dc.contributor.authorGreiner, Daviden_US
dc.contributor.authorGaspar-Cunha, Antónioen_US
dc.contributor.authorTutum, Cem Celalen_US
dc.contributor.otherGaspar-Cunha, Antonio-
dc.contributor.otherGreiner, David-
dc.contributor.otherBandaru, Sunith-
dc.date.accessioned2019-02-18T12:31:30Z-
dc.date.available2019-02-18T12:31:30Z-
dc.date.issued2014en_US
dc.identifier.issn1568-4946en_US
dc.identifier.urihttp://hdl.handle.net/10553/54686-
dc.description.abstractComputational optimization methods are most often used to find a single or multiple optimal or near-optimal solutions to the underlying optimization problem describing the problem at hand. In this paper, we elevate the use of optimization to a higher level in arriving at useful problem knowledge associated with the optimal or near-optimal solutions to a problem. In the proposed innovization process, first a set of trade-off optimal or near-optimal solutions are found using an evolutionary algorithm. Thereafter, the trade-off solutions are analyzed to decipher useful relationships among problem entities automatically so as to provide a better understanding of the problem to a designer or a practitioner. We provide an integrated algorithm for the innovization process and demonstrate the usefulness of the procedure to three real-world engineering design problems. New and innovative design principles obtained in each case should clearly motivate engineers and practitioners for its further application to more complex problems and its further development as a more efficient data analysis procedure.en_US
dc.languageengen_US
dc.relation.ispartofApplied Soft Computing Journalen_US
dc.sourceApplied Soft Computing Journal [ISSN 1568-4946], v. 15, p. 42-56, (Febrero 2014)en_US
dc.subject332824 Trituraciónen_US
dc.subject.otherMulti-objective optimizationen_US
dc.subject.otherInnovizationen_US
dc.subject.otherDesign principlesen_US
dc.subject.otherExtrusion processen_US
dc.subject.otherNoise barrier optimizationen_US
dc.subject.otherFriction stir weldingen_US
dc.titleAn integrated approach to automated innovization for discovering useful design principles: Case studies from engineeringen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.asoc.2013.10.011en_US
dc.identifier.scopus84888631059-
dc.identifier.isi000329457400004-
dc.contributor.authorscopusid7006019904-
dc.contributor.authorscopusid9735328200-
dc.contributor.authorscopusid56268125800-
dc.contributor.authorscopusid6506838748-
dc.contributor.authorscopusid35491843000-
dc.description.lastpage56en_US
dc.description.firstpage42en_US
dc.relation.volume15en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.identifier.wosWOS:000329457400004-
dc.contributor.daisngid33924-
dc.contributor.daisngid1594114-
dc.contributor.daisngid1559703-
dc.contributor.daisngid195134-
dc.contributor.daisngid1392355-
dc.identifier.investigatorRIDJ-4843-2013-
dc.identifier.investigatorRIDN-8557-2013-
dc.identifier.investigatorRIDNo ID-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Deb, K-
dc.contributor.wosstandardWOS:Bandaru, S-
dc.contributor.wosstandardWOS:Greiner, D-
dc.contributor.wosstandardWOS:Gaspar-Cunha, A-
dc.contributor.wosstandardWOS:Tutum, CC-
dc.date.coverdateEnero 2014en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INFen_US
dc.description.sjr1,696-
dc.description.jcr2,81-
dc.description.sjrqQ1-
dc.description.jcrqQ1-
dc.description.scieSCIE-
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Ingeniería Civil-
crisitem.author.orcid0000-0002-4132-7144-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameGreiner Sánchez, David Juan-
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