Surrogate-Based Modeling and Optimization

Applications in Engineering

  • Slawomir Koziel
  • Leifur Leifsson

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Slawomir Koziel, Leifur Leifsson, Stanislav Ogurtsov
    Pages 1-25
  3. Abdel-Karim S. O. Hassan, Ahmed S. A. Mohamed
    Pages 27-49
  4. Slawomir Koziel, Stanislav Ogurtsov, Leifur Leifsson
    Pages 51-80
  5. Ana Rodríguez, Jordi Selga, Ferran Martín, Vicente E. Boria
    Pages 81-97
  6. Murat Simsek, Neslihan Serap Sengor
    Pages 99-120
  7. J. Pieter Jacobs, Slawomir Koziel, Leifur Leifsson
    Pages 121-145
  8. Ting Zhu, Mustafa Berke Yelten, Michael B. Steer, Paul D. Franzon
    Pages 171-188
  9. Sara Grundel, Nils Hornung, Bernhard Klaassen, Peter Benner, Tanja Clees
    Pages 189-212
  10. Leifur Leifsson, Slawomir Koziel, Eirikur Jonsson, Stanislav Ogurtsov
    Pages 213-245
  11. Yi Zhang, Serhat Hosder
    Pages 247-284
  12. Selvakumar Ulaganathan, Nikolaos Asproulis
    Pages 285-312
  13. Qian Xu, Erich Wehrle, Horst Baier
    Pages 313-336
  14. Keith Worden, Elizabeth J. Cross, James M. W. Brownjohn
    Pages 337-358
  15. S. Grihon, E. Burnaev, M. Belyaev, P. Prikhodko
    Pages 359-391

About this book

Introduction

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. 

 

This book is about 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.

Keywords

Computer-aided design Simulation-driven design engineering optimization multi-fidelity optimization methods multidisciplinary optimization robust surrogate modeling methodologies

Editors and affiliations

  • Slawomir Koziel
    • 1
  • Leifur Leifsson
    • 2
  1. 1., Engineering Optimization & Modeling CentReykjavik UniversityReykjavikIceland
  2. 2.School of Science and Engineering, Engineering Optimization & ModelingReykjavik UniversityReykjavikIceland

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-7551-4
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-7550-7
  • Online ISBN 978-1-4614-7551-4
  • About this book
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