Editors:
- Presents strategies for enhancing automated simulation-driven modeling design practices
- Highlights invaluable techniques for areas such as engineering, hydrodynamics, ocean science and climate modeling, where design processes are rooted in CPU-heavy computer simulations
- Accessible with only a working knowledge of calculus and numerical modeling and optimization
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 153)
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Table of contents (15 papers)
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Front Matter
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Back Matter
About this book
High-fidelity simulation models allow for accurate evaluations of the devices and systems, which is critical in the design process, especially to avoid costly prototyping stages. Despite this and other advantages, the use of simulation tools in the design process is quite challenging due to associated high computational cost. The steady increase of available computational resources does not always translate into the shortening of the design cycle because of the growing demand for higher accuracy and necessity to simulate larger and more complex systems. For this reason, automated simulation-driven design—while highly desirable—is difficult when using conventional numerical optimization routines which normally require a large number of system simulations, each one already expensive.
Keywords
- computational modeling
- computer simulation
- engineering optimization
- numerical optimization
- simulating complex systems
- computationally expensive simulation
- iterative simulation design processes
- surrogate-based modelling
- simulation-driven design optimization
- metaheuristic optimization
- efficient optimization algorithms
- aerodynamic optimization
- gas transport network design
- antenna design
- microwave structure design
- crystal nanostructures
- algorithms
- modeling
- optimization
Editors and Affiliations
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Engin. Optimization & Modeling Cent, Reykjavik University, Reykjavik, Iceland
Slawomir Koziel
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College of Engineering, Iowa State University, Ames, USA
Leifur Leifsson
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School of Science and Technology, Middlesex University, London, United Kingdom
Xin-She Yang
Bibliographic Information
Book Title: Simulation-Driven Modeling and Optimization
Book Subtitle: ASDOM, Reykjavik, August 2014
Editors: Slawomir Koziel, Leifur Leifsson, Xin-She Yang
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-319-27517-8
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-27515-4Published: 13 February 2016
Softcover ISBN: 978-3-319-80159-9Published: 31 March 2018
eBook ISBN: 978-3-319-27517-8Published: 12 February 2016
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: VIII, 404
Number of Illustrations: 51 b/w illustrations, 135 illustrations in colour
Topics: Calculus of Variations and Optimal Control; Optimization, Mathematical Modeling and Industrial Mathematics, Computational Science and Engineering