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), 741-765. (doi:10.1080/0305215X.2011.607816).


[img] PDF - Author's Original
Restricted to internal admin

Download (1137Kb) | Request a copy


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.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1080/0305215X.2011.607816
ISSNs: 0305-215X (print)
Keywords: non-stationary kriging, surrogate modelling, optimization
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General)
Divisions : Faculty of Engineering and the Environment > Aeronautics, Astronautics and Computational Engineering > Computational Engineering & Design
ePrint ID: 340898
Accepted Date and Publication Date:
23 September 2011Published
Date Deposited: 06 Jul 2012 11:12
Last Modified: 31 Mar 2016 14:31
Collaborative & Robust Engineering using Simulation Capability Enabling Next Design Optimisation (CRESCENDO)
Funded by: European Commission - FP7 (234344)
1 May 2009 to 31 October 2012

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics