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2016 | OriginalPaper | Chapter

4. Introduction to Surrogate Modeling and Surrogate-Based Optimization

Authors : Slawomir Koziel, Leifur Leifsson

Published in: Simulation-Driven Design by Knowledge-Based Response Correction Techniques

Publisher: Springer International Publishing

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Abstract

Surrogate-based optimization (SBO) is the main focus of this book. We provide a brief introduction to the subject in this chapter. In particular, we recall the SBO concept and the optimization flow, discuss the principles of surrogate modeling and typical approaches to construct surrogate models. We also discuss the distinction between function approximation (or data-driven) surrogates and physics-based surrogates, as well as outline the algorithm of SBO exploiting the two aforementioned classes of models. More detailed information about the selected types of SBO algorithms (especially those involving response correction techniques) as well as illustration and application examples in various fields of engineering are provided in the remaining part of the book.

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previous chapter Fundamentals of Numerical Optimization
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Metadata
Title
Introduction to Surrogate Modeling and Surrogate-Based Optimization
Authors
Slawomir Koziel
Leifur Leifsson
Copyright Year
2016
Book
Simulation-Driven Design by Knowledge-Based Response Correction Techniques

Print ISBN: 978-3-319-30113-6

Electronic ISBN: 978-3-319-30115-0

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-30115-0_4

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