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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/54811
DC FieldValueLanguage
dc.contributor.authorPériaux, Jacquesen_US
dc.contributor.authorGreiner, Daviden_US
dc.contributor.otherGreiner, David-
dc.date.accessioned2019-02-18T14:54:15Z-
dc.date.available2019-02-18T14:54:15Z-
dc.date.issued2016en_US
dc.identifier.isbn978-3-319-23563-9en_US
dc.identifier.issn1871-3033en_US
dc.identifier.urihttp://hdl.handle.net/10553/54811-
dc.description.abstractA parallel implementation of a game-theory based Nash Genetic Algorithm (Nash-GAs) is presented in this paper for solving reconstruction inverse problems in structural engineering. We compare it with the standard panmictic genetic algorithm in a HPC environment with up to eight processors. The procedure performance is evaluated on a fifty-five bar sized test case of discrete real cross-section types structural frame. Numerical results obtained on this application show a significant achieved increase of performance using the parallel Nash-GAs approach compared to the standard GAs or Parallel GAs.en_US
dc.languageengen_US
dc.publisherSpringeren_US
dc.relation.ispartofComputational Methods in Applied Sciencesen_US
dc.sourceMathematical Modeling and Optimization of Complex Structures / Pekka Neittaanmäki, Sergey Repin, Tero Tuovinen (eds). Computational Methods in Applied Sciences [ISSN 1871-3033], v. 40, p. 205-228en_US
dc.subject12 Matemáticasen_US
dc.subject.otherParallel genetic algorithmsen_US
dc.subject.otherNash gamesen_US
dc.subject.otherStructural optimizationen_US
dc.subject.otherFinite element analysisen_US
dc.subject.otherInverse problemsen_US
dc.subject.otherBar structuresen_US
dc.titleEfficient parallel nash genetic algorithm for solving inverse problems in structural engineeringen_US
dc.typeinfo:eu-repo/semantics/bookParten_US
dc.typeBook parten_US
dc.relation.conferenceInternational Conference on Mathematical Modeling and Optimization in Mechanics (MMOM 2014)en_US
dc.identifier.doi10.1007/978-3-319-23564-6_13en_US
dc.identifier.scopus84962812056-
dc.identifier.scopus84962812056-
dc.identifier.isi000369436900013-
dc.contributor.authorscopusid7004329617-
dc.contributor.authorscopusid56268125800-
dc.identifier.eissn1871-3033-
dc.description.lastpage228en_US
dc.description.firstpage205en_US
dc.relation.volume40en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Capítulo de libroen_US
dc.identifier.wosWOS:000369436900013-
dc.contributor.daisngid279307-
dc.contributor.daisngid1559703-
dc.description.notasMathematical Subject Classification: 74P99 ; 68Y20 ; 49M27en_US
dc.identifier.investigatorRIDN-8557-2013-
dc.identifier.eisbn978-3-319-23564-6-
dc.utils.revisionSíen_US
dc.contributor.wosstandardWOS:Periaux, J-
dc.contributor.wosstandardWOS:Greiner, D-
dc.date.coverdateEnero 2016en_US
dc.identifier.conferenceidevents120937-
dc.identifier.ulpgcSíen_US
dc.identifier.ulpgcSíen_US
dc.identifier.ulpgcSíen_US
dc.identifier.ulpgcSíen_US
dc.contributor.buulpgcBU-INGen_US
dc.contributor.buulpgcBU-INGen_US
dc.contributor.buulpgcBU-INGen_US
dc.contributor.buulpgcBU-INGen_US
dc.description.sjr0,173-
dc.description.sjrqQ3-
dc.description.spiqQ1
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate06-03-2014-
crisitem.event.eventsenddate07-03-2014-
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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