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Simulation-Driven Design by Knowledge-Based Response Correction Techniques pp 31–61Cite as

Introduction to Surrogate Modeling and Surrogate-Based Optimization

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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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  1. Engineering Optimization & Modeling Center, Reykjavik University, Reykjavik, Iceland

    Slawomir Koziel

  2. Department of Aerospace Engineering, Iowa State University, Ames, Iowa, USA

    Leifur Leifsson

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Koziel, S., Leifsson, L. (2016). Introduction to Surrogate Modeling and Surrogate-Based Optimization. In: Simulation-Driven Design by Knowledge-Based Response Correction Techniques. Springer, Cham. https://doi.org/10.1007/978-3-319-30115-0_4

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