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).
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.
|Digital Object Identifier (DOI):||doi:10.1080/0305215X.2011.607816|
|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
|Accepted Date and Publication Date:||
|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
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)