Editors:
- Recent state of the art in evolutionary and deterministic methods for design, optimization and control
- Balanced theoretical and numerical methods and tools with engineering design and societal applications
- Applications include aeronautics and astronautics, turbomachinery, structures, materials and civil engineering, electrical and electrical engineering and societal applications
Part of the book series: Computational Methods in Applied Sciences (COMPUTMETHODS, volume 36)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (34 chapters)
-
Front Matter
-
Theoretical and Numerical Methods and Tools for Optimization: Theoretical Methods and Tools
-
Front Matter
-
-
Theoretical and Numerical Methods and Tools for Optimization: Numerical Methods and Tools
-
Front Matter
-
-
Engineering Design and Societal Applications: Turbomachinery
-
Front Matter
-
About this book
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.
Editors and Affiliations
-
SIANI, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
David Greiner, Blas Galván, Gabriel Winter
-
CIMNE, University of Jyväskylä, Jyväskylä, Finland, and Universitat Politècnica de Catalunya, Barcelona, Spain, Barcelona, Spain
Jacques Périaux
-
RWTH Aachen University, Aachen, Germany
Nicolas Gauger
-
National Technical University of Athens, Athens, Greece
Kyriakos Giannakoglou
Bibliographic Information
Book Title: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences
Editors: David Greiner, Blas Galván, Jacques Périaux, Nicolas Gauger, Kyriakos Giannakoglou, Gabriel Winter
Series Title: Computational Methods in Applied Sciences
DOI: https://doi.org/10.1007/978-3-319-11541-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2015
Hardcover ISBN: 978-3-319-11540-5Published: 04 December 2014
Softcover ISBN: 978-3-319-36424-7Published: 10 September 2016
eBook ISBN: 978-3-319-11541-2Published: 14 November 2014
Series ISSN: 1871-3033
Series E-ISSN: 2543-0203
Edition Number: 1
Number of Pages: XI, 522
Number of Illustrations: 240 b/w illustrations
Topics: Engineering Design, Theoretical and Applied Mechanics, Computational Science and Engineering, Optimization