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Non-stationary kriging for design optimization

Toal, D.J.J. and Keane, A.J. (2011) Non-stationary kriging for design optimization Engineering Optimization, 44, (6), pp. 741-765. (doi:10.1080/0305215X.2011.607816).

Record type: Article


Traditional surrogate modeling techniques, such as kriging, have been employed quite effectively within design optimizations. However, such models can fail to accurately reproduce non-stationary responses. The following paper explores the application of non-stationary kriging to design optimization and attempts to determine its applicability with regard to the optimization of both stationary and non-stationary objective functions. A series of analytical test problems and an engineering design problem are used to compare the performance of non-stationary and adaptive partial non-stationary kriging to traditional stationary kriging.

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Published date: 23 September 2011
Keywords: non-stationary kriging, surrogate modelling, optimization
Organisations: Computational Engineering & Design Group


Local EPrints ID: 340898
PURE UUID: 55444c15-117b-472c-a009-b31d5f402222
ORCID for D.J.J. Toal: ORCID iD

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Date deposited: 06 Jul 2012 11:12
Last modified: 18 Jul 2017 05:40

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