Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/41938
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dc.contributor.authorGreiner, Daviden_US
dc.contributor.authorPériaux, Jacquesen_US
dc.contributor.authorEmperador, J. M.en_US
dc.contributor.authorGalván, B.en_US
dc.contributor.authorWinter, G.en_US
dc.date.accessioned2018-09-14T09:17:21Z-
dc.date.available2018-09-14T09:17:21Z-
dc.date.issued2019en_US
dc.identifier.isbn978-3-319-89986-2en_US
dc.identifier.issn1871-3033en_US
dc.identifier.urihttp://hdl.handle.net/10553/41938-
dc.description.abstractGame-theory based Nash–evolutionary algorithms are efficient to speed-up and parallelize the optimum design procedure. They have been applied in several fields of engineering and sciences, mainly, in aeronautical and structural engineering. The influence of the search space player territory has been shown as having an important role in the algorithm performance. Here we present a study where a diversity enhanced dynamic player territory is introduced and its behavior is tested in a reconstruction problem in structural engineering. The proposed diversity dynamic territory seems to increase the optimization procedure robustness, and improves the results from a classical dynamic territory, in a structural frame test case.en_US
dc.languageengen_US
dc.publisherSpringeren_US
dc.relation.ispartofComputational Methods in Applied Sciencesen_US
dc.sourceAdvances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences / Minisci E., Vasile M., Periaux J., Gauger N., Giannakoglou K., Quagliarella D. (eds), Computational Methods in Applied Sciences, vol 48, p. 283-301en_US
dc.subject1206 Análisis numéricoen_US
dc.subject120601 Construcción de algoritmosen_US
dc.subject120699 Otras (especificar)en_US
dc.subject.otherOptimizaciónen_US
dc.titleA diversity dynamic territory nash strategy in evolutionary algorithms: enhancing performances in reconstruction problems in structural engineeringen_US
dc.typeinfo:eu-repo/semantics/bookParten_US
dc.typeBookparten_US
dc.identifier.doi10.1007/978-3-319-89988-6_17en_US
dc.identifier.scopus85049525434-
dc.contributor.authorscopusid56268125800-
dc.contributor.authorscopusid7004329617-
dc.contributor.authorscopusid8659297300-
dc.contributor.authorscopusid8704390300-
dc.contributor.authorscopusid7202988477-
dc.description.lastpage301en_US
dc.description.firstpage283en_US
dc.relation.volume48en_US
dc.investigacionCienciasen_US
dc.type2Capítulo de libroen_US
dc.identifier.external1871-3033-
dc.identifier.external1871-3033-
dc.identifier.eisbn978-3-319-89988-6-
dc.utils.revisionen_US
dc.date.coverdateEnero 2019en_US
dc.identifier.supplement1871-3033-
dc.identifier.supplement1871-3033-
dc.identifier.supplement1871-3033-
dc.identifier.ulpgcen_US
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptSIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Ingeniería Civil-
crisitem.author.deptDepartamento de Ingeniería Civil-
crisitem.author.deptSIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptSIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.orcid0000-0002-4132-7144-
crisitem.author.orcid0000-0002-7020-870X-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameGreiner Sánchez, David Juan-
crisitem.author.fullNameEmperador Alzola, José María-
crisitem.author.fullNameGalván González, Blas José-
crisitem.author.fullNameWinter Althaus, Gabriel-
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