Surrogate-Based Modeling and Optimization

Applications in Engineering

Editors: Koziel, Slawomir, Leifsson, Leifur (Eds.)

  • ​​​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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  • ISBN 978-1-4614-7551-4
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Hardcover $149.00
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  • ISBN 978-1-4614-7550-7
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  • ISBN 978-1-4939-5472-8
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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. 

 

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.

Table of contents (16 chapters)

  • Space Mapping for Electromagnetic-Simulation-Driven Design Optimization

    Koziel, Slawomir (et al.)

    Pages 1-25

  • Surrogate-Based Circuit Design Centering

    Hassan, Abdel-Karim S. O. (et al.)

    Pages 27-49

  • Simulation-Driven Antenna Design Using Surrogate-Based Optimization

    Koziel, Slawomir (et al.)

    Pages 51-80

  • Practical Application of Space Mapping Techniques to the Synthesis of CSRR-Based Artificial Transmission Lines

    Rodríguez, Ana (et al.)

    Pages 81-97

  • The Efficiency of Difference Mapping in Space Mapping-Based Optimization

    Simsek, Murat (et al.)

    Pages 99-120

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-1-4614-7551-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.00
price for USA
  • ISBN 978-1-4614-7550-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-1-4939-5472-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Surrogate-Based Modeling and Optimization
Book Subtitle
Applications in Engineering
Editors
  • Slawomir Koziel
  • Leifur Leifsson
Copyright
2013
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4614-7551-4
DOI
10.1007/978-1-4614-7551-4
Hardcover ISBN
978-1-4614-7550-7
Softcover ISBN
978-1-4939-5472-8
Edition Number
1
Number of Pages
VIII, 412
Number of Illustrations and Tables
103 b/w illustrations, 142 illustrations in colour
Topics