Industrial application of genetic algorithms to cost reduction of a wind turbine equipped with a tuned mass damper

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/122820

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.contributor	Universitat Politècnica de Catalunya. RMEE - Grup de Resistència de Materials i Estructures en l'Enginyeria
dc.contributor.author	Pons Prats, Jordi
dc.contributor.author	Coma Company, Martí
dc.contributor.author	Bertran, Jaume
dc.contributor.author	Roca, Xavier
dc.contributor.author	Bugeda Castelltort, Gabriel
dc.date	2019
dc.identifier.citation	Pons, 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.citation	978-3-319-89889-6
dc.identifier.citation	10.1007/978-3-319-89890-2
dc.identifier.uri	http://hdl.handle.net/2117/122820
dc.language.iso	eng
dc.publisher	Springer
dc.relation	https://www.springer.com/us/book/9783319898896
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes numèrics
dc.subject	Genetic algorithms
dc.subject	Genetic algorithms
dc.subject	Algorismes genètics
dc.title	Industrial application of genetic algorithms to cost reduction of a wind turbine equipped with a tuned mass damper
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/bookPart
dc.description.abstract	This 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.description.abstract	Peer Reviewed

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