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2019 | OriginalPaper | Chapter

Robust Optimization with Gaussian Process Models

Authors : Krzysztof Marchlewski, Łukasz Łaniewski-Wołłk, Sławomir Kubacki, Jacek Szumbarski

Published in: Uncertainty Management for Robust Industrial Design in Aeronautics

Publisher: Springer International Publishing

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Abstract

In this chapter, the application of the Gaussian regression models in the robust design and uncertainty quantification is demonstrated. The computationally effective approach based on the Kriging method and relative expected improvement concept is described in detail. The new sampling criterion is proposed which leads to localization of the robust optimum in a limited number of steps. The methodology is employed to the optimal design process of the intake channel of the small turboprop engine.

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previous chapter Robust Design of Initial Boundary Value Problems
next chapter Robust Design in Turbomachinery Applications
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Metadata
Title
Robust Optimization with Gaussian Process Models
Authors
Krzysztof Marchlewski
Łukasz Łaniewski-Wołłk
Sławomir Kubacki
Jacek Szumbarski
Copyright Year
2019
Book
Uncertainty Management for Robust Industrial Design in Aeronautics

Print ISBN: 978-3-319-77766-5

Electronic ISBN: 978-3-319-77767-2

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-77767-2_30

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