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Title: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences
Editors: Greiner Sánchez, David Juan 
Galván González, Blas José 
Periaux, Jacques
Gauger, Nicolas
Giannakoglou, Kyriakos
Winter Althaus, Gabriel 
UNESCO Clasification: 120601 Construcción de algoritmos
33 Ciencias tecnológicas
24 Ciencias de la vida
Keywords: Computational Methods in Engineering
Engineering Design
Engineering and Societal Applications
Numerical Methods in Engineering, et al
Issue Date: 2015
Publisher: Springer 
Journal: Computational Methods in Applied Sciences 
Conference: 10th EUROGEN International Conference 2013 
Abstract: This book contains state-of-the-art contributions in the field of evolutionary and deterministic methods for design, optimization and control in engineering and sciences. Specialists have written each of the 34 chapters as extended versions of 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 2013). The conference was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). Topics treated in the various chapters are classified in the following sections: theoretical and numerical methods and tools for optimization (theoretical methods and tools; numerical methods and tools) and engineering design and societal applications (turbo machinery; structures, materials and civil engineering; aeronautics and astronautics; societal applications; electrical and electronics applications), focused 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.
ISBN: 978-3-319-11540-5
ISSN: 1871-3033
DOI: 10.1007/978-3-319-11541-2
Source: Computational Methods in Applied Sciences [ISSN 1871-3033], v. 36
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