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E. Mysakova, A. Pospisilova, M. Leps, "Optimized Design of Computer Experiments: A Review", in B.H.V. Topping and P. Iványi, (Editor), "Computational Methods for Engineering Technology", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 13, pp 325-344, 2014. doi:10.4203/csets.35.13

Keywords: design of experiments, space-filling, constrained design spaces, updating, reliability-based design optimization, surrogate models.

Abstract

This chapter presents the current history of the design of experiments for computer simulations, the so-called design of computer experiments. The methods for designs’ optimization with respect to some metrics particularly will be the main topics of this chapter. The starting point is the description of several criteria that are commonly used to compare and optimize design of experiments. Attention is placed on minimax metrics, which describe the largest unsampled space. Then the advances in the design of regular and constrained (mixture) design of experiments are presented. Many methods are used within both research areas, however they can differ in application details and performances obtained. Finally, the design of experiments for adaptive and/or reliability purposes will be investigated employing methodologies from other areas.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Computational Science, Engineering & Technology Series ISSN 1759-3158 CSETS: 35 COMPUTATIONAL METHODS FOR ENGINEERING TECHNOLOGY Edited by: B.H.V. Topping and P. Iványi Chapter 13 Optimized Design of Computer Experiments: A Review E. Mysakova, A. Pospisilova and M. Leps Department of Mechanics, Faculty of Civil Engineering, Czech Technical University in Prague, Czech Republic doi:10.4203/csets.35.13 purchase the full-text of this chapter Full Bibliographic Reference for this chapter E. Mysakova, A. Pospisilova, M. Leps, "Optimized Design of Computer Experiments: A Review", in B.H.V. Topping and P. Iványi, (Editor), "Computational Methods for Engineering Technology", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 13, pp 325-344, 2014. doi:10.4203/csets.35.13 Keywords: design of experiments, space-filling, constrained design spaces, updating, reliability-based design optimization, surrogate models. Abstract This chapter presents the current history of the design of experiments for computer simulations, the so-called design of computer experiments. The methods for designs’ optimization with respect to some metrics particularly will be the main topics of this chapter. The starting point is the description of several criteria that are commonly used to compare and optimize design of experiments. Attention is placed on minimax metrics, which describe the largest unsampled space. Then the advances in the design of regular and constrained (mixture) design of experiments are presented. Many methods are used within both research areas, however they can differ in application details and performances obtained. Finally, the design of experiments for adaptive and/or reliability purposes will be investigated employing methodologies from other areas. purchase the full-text of this chapter (price £20) go to the previous chapter go to the next chapter return to the table of contents return to the book description purchase this book (price £95 +P&P)
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