Volume 1, Issue 2, June 2014, Page: 8-15
Application of Response Surface Methodology during Conceptual Design for Mission Analysis
Johar Daudi, Department of Aerospace Engineering, School of Engineering, University of Glasgow, UK
Received: Jun. 13, 2014;       Accepted: Jul. 8, 2014;       Published: Jul. 20, 2014
DOI: 10.11648/j.ajae.20140102.11      View  3280      Downloads  162
The design of complex engineering problems requires computation of several optimal parameters that is generally very time consuming and computationally expensive process. When using computationally expensive simulation programs/algorithms in engineering design for optimization, sometimes it becomes impractical to rely exclusively on simulation codes only. This study involved the designing of a suitable metamodel by using Kriging response surfaces which will be used for global optimization purposes. The study also covers the implementation of Kriging mathematical model in the form of a computer algorithm which is written in MATLAB.
Surrogate/Meta Model, System Function, Design of Experiments
To cite this article
Johar Daudi, Application of Response Surface Methodology during Conceptual Design for Mission Analysis, American Journal of Aerospace Engineering. Vol. 1, No. 2, 2014, pp. 8-15. doi: 10.11648/j.ajae.20140102.11
A Taxonomy of Global Optimization Methods Based on Response, DONALD R. JONES, General Motors Corporation, Journal of Global Optimization 21: 345–383, 2001, Kluwer Academic Publishers.
DACE, A MATLAB Kriging Toolbox Version 2.0, August 1, 2002, Søren N. Lop-Haven, Hans Bruun Nielsen, Jacob Søndergaard
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