Overview
- Summarizes the latest developments in surrogate-based modeling and optimization methodologies
- Includes a diverse range of applications and well-chosen case studies
- Balances coverage of theoretical foundation and engineering-oriented optimization methods in one volume
- Provides a? self-contained treatment by including introductory materials, practical methods and algorithms, as well as applications and case studies
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Table of contents (16 chapters)
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Front Matter
Keywords
About this book
Contemporary engineering design is heavily based on computer simulations. Accurate, high-fidelity simulations are used not only for design verification but, even more importantly, to adjust parameters of the system to have it meet given performance requirements. Unfortunately, accurate simulations are often computationally very expensive with evaluation times as long as hours or even days per design, making design automation using conventional methods impractical. These and other problems can be alleviated by the development and employment of so-called surrogates that reliably represent the expensive, simulation-based model of the system or device of interest but they are much more reasonable and analytically tractable.Â
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This volume features surrogate-based modeling and optimization techniques, and their applications for solving difficult and computationally expensive engineering design problems. It begins by presenting the basic concepts and formulations of the surrogate-based modeling and optimization paradigm and then discusses relevant modeling techniques, optimization algorithms and design procedures, as well as state-of-the-art developments. The chapters are self-contained with basic concepts and formulations along with applications and examples. The book will be useful to researchers in engineering and mathematics, in particular those who employ computationally heavy simulations in their design work.
Editors and Affiliations
Bibliographic Information
Book Title: Surrogate-Based Modeling and Optimization
Book Subtitle: Applications in Engineering
Editors: Slawomir Koziel, Leifur Leifsson
DOI: https://doi.org/10.1007/978-1-4614-7551-4
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-7550-7
Softcover ISBN: 978-1-4939-5472-8
eBook ISBN: 978-1-4614-7551-4
Edition Number: 1
Number of Pages: VIII, 412
Number of Illustrations: 103 b/w illustrations, 142 illustrations in colour
Topics: Mathematical Modeling and Industrial Mathematics, Aerospace Technology and Astronautics, Control and Systems Theory, Calculus of Variations and Optimal Control; Optimization, Operations Research, Management Science, Computational Mathematics and Numerical Analysis