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dc.contributor.authorPons Prats, Jordi
dc.contributor.authorComa Company, Martí
dc.contributor.authorBertran, Jaume
dc.contributor.authorRoca, Xavier
dc.contributor.authorBugeda Castelltort, Gabriel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.date.accessioned2018-10-23T11:48:10Z
dc.date.issued2019
dc.identifier.citationPons, J., Coma, M., Bertran, J., Roca, X., Bugeda, G. Industrial application of genetic algorithms to cost reduction of a wind turbine equipped with a tuned mass damper. A: "Evolutionary and deterministic methods for design optimization and control with applications to industrial and societal problems". Berlín: Springer, 2019, p. 419-436.
dc.identifier.isbn978-3-319-89889-6
dc.identifier.urihttp://hdl.handle.net/2117/122820
dc.description.abstractThis book contains thirty-five selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2017). This was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). Topics treated in the various chapters reflect the state of the art in theoretical and numerical methods and tools for optimization, and engineering design and societal applications. The volume focuses particularly on intelligent systems for multidisciplinary design optimization (mdo) problems based on multi-hybridized software, adjoint-based and one-shot methods, uncertainty quantification and optimization, multidisciplinary design optimization, applications of game theory to industrial optimization problems, applications in structural and civil engineering optimum design and surrogate models based optimization methods in aerodynamic design.
dc.format.extent18 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes numèrics
dc.subject.lcshGenetic algorithms
dc.subject.otherGenetic algorithms
dc.titleIndustrial application of genetic algorithms to cost reduction of a wind turbine equipped with a tuned mass damper
dc.typePart of book or chapter of book
dc.subject.lemacAlgorismes genètics
dc.contributor.groupUniversitat Politècnica de Catalunya. RMEE - Grup de Resistència de Materials i Estructures en l'Enginyeria
dc.identifier.doi10.1007/978-3-319-89890-2
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.springer.com/us/book/9783319898896
dc.rights.accessRestricted access - publisher's policy
drac.iddocument23397641
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorPons, J., Coma, M., Bertran, J., Roca, X., Bugeda, G.
upcommons.citation.pubplaceBerlín
upcommons.citation.publishedtrue
upcommons.citation.publicationNameEvolutionary and deterministic methods for design optimization and control with applications to industrial and societal problems
upcommons.citation.startingPage419
upcommons.citation.endingPage436


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