Space-filling designs for computer experiments: A review
Abstract
Improving the quality of a product/process using a computer simulator is a much less expensive option than the real physical testing. However, simulation using computationally intensive computer models can be time consuming and therefore, directly doing the optimization on the computer simulator can be infeasible. Experimental design and statistical modeling techniques can be used for overcoming this problem. This article reviews experimental designs known as space-filling designs that are suitable for computer simulations. In the review, a special emphasis is given for a recently developed space-filling design called maximum projection design. Furthermore, its advantages are illustrated using a simulation conducted for optimizing a milling process.
- Authors:
-
- Georgia Inst. of Technology, Atlanta, GA (United States)
- Publication Date:
- Research Org.:
- Georgia Institute of Technology, Atlanta, GA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- OSTI Identifier:
- 1405184
- Report Number(s):
- DOE-GT-0010548-9
Journal ID: ISSN 0898-2112; FG02-13ER26159
- Grant/Contract Number:
- SC0010548
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Quality Engineering
- Additional Journal Information:
- Journal Volume: 28; Journal Issue: 1; Journal ID: ISSN 0898-2112
- Publisher:
- American Society for Quality Control
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Joseph, V. Roshan. Space-filling designs for computer experiments: A review. United States: N. p., 2016.
Web. doi:10.1080/08982112.2015.1100447.
Joseph, V. Roshan. Space-filling designs for computer experiments: A review. United States. https://doi.org/10.1080/08982112.2015.1100447
Joseph, V. Roshan. Fri .
"Space-filling designs for computer experiments: A review". United States. https://doi.org/10.1080/08982112.2015.1100447. https://www.osti.gov/servlets/purl/1405184.
@article{osti_1405184,
title = {Space-filling designs for computer experiments: A review},
author = {Joseph, V. Roshan},
abstractNote = {Improving the quality of a product/process using a computer simulator is a much less expensive option than the real physical testing. However, simulation using computationally intensive computer models can be time consuming and therefore, directly doing the optimization on the computer simulator can be infeasible. Experimental design and statistical modeling techniques can be used for overcoming this problem. This article reviews experimental designs known as space-filling designs that are suitable for computer simulations. In the review, a special emphasis is given for a recently developed space-filling design called maximum projection design. Furthermore, its advantages are illustrated using a simulation conducted for optimizing a milling process.},
doi = {10.1080/08982112.2015.1100447},
journal = {Quality Engineering},
number = 1,
volume = 28,
place = {United States},
year = {Fri Jan 29 00:00:00 EST 2016},
month = {Fri Jan 29 00:00:00 EST 2016}
}
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Works referencing / citing this record:
Space-Filling Designs for Robustness Experiments
journal, June 2018
- Joseph, V. Roshan; Gu, Li; Ba, Shan
- Technometrics, Vol. 61, Issue 1
A fast optimal Latin hypercube design method using an improved translational propagation algorithm
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The Multiple-Update-Infill Sampling Method Using Minimum Energy Design for Sequential Surrogate Modeling
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A fast optimal Latin hypercube design method using an improved translational propagation algorithm
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A fast optimal Latin hypercube design method using an improved translational propagation algorithm
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Developing a space-filling mixture experiment design when the components are subject to linear and nonlinear constraints
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Design and analysis of computer experiments with quantitative and qualitative inputs: A selective review
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Space-Filling Designs for Robustness Experiments
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