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View all- Reis dos Santos PIsabel Reis dos Santos M(2021)Construction of stochastic simulation metamodels with segmented polynomialsSimulation10.1177/0037549721101873497:11(761-777)Online publication date: 1-Nov-2021
Reinsch's smoothing spline simulation metamodels
Pages 925 - 934
Abstract
Metamodels have been used frequently by the simulation community. However, not much research has been done with nonparametric metamodels compared with parametric metamodels. In this paper, smoothing splines for performing nonparametric metamodeling are presented. The use of smoothing splines on metamodeling fitting may provide functions that better approximate the behavior of the target simulation model, compared with linear and nonlinear regression metamodels. The smoothing splines tolerance parameter can be used to tune the smoothness of the resulting metamodel. A good experimental design is crucial for obtaining a better smoothing spline metamodel fitting, as illustrated in the examples.
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Index Terms
- Reinsch's smoothing spline simulation metamodels
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Published In
December 2010
3519 pages
ISBN:9781424498642
- Editors:
- Bj�rn Johansson,
- Sanjay Jain,
- Jairo Montoya-Torres,
- Program Chair:
- Enver Y�cesan
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- IIE: Institute of Industrial Engineers
- INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
- SCS: Shanghai Computer Society
- SIGSIM: ACM Special Interest Group on Simulation and Modeling
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Winter Simulation Conference
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Published: 05 December 2010
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View all- Reis dos Santos PIsabel Reis dos Santos M(2021)Construction of stochastic simulation metamodels with segmented polynomialsSimulation10.1177/0037549721101873497:11(761-777)Online publication date: 1-Nov-2021
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