Steady-state simulation of queueing processes: survey of problems and solutions
ACM Computing Surveys (CSUR)
Metamodels for simulation input-output relations
WSC '92 Proceedings of the 24th conference on Winter simulation
Proceedings of the 32nd conference on Winter simulation
Simulation optimization using response surfaces based on spline approximations
WSC '78 Proceedings of the 10th conference on Winter simulation - Volume 1
A sequential-design metamodeling strategy for simulation optimization
Computers and Operations Research
Sequential design and rational metamodelling
WSC '05 Proceedings of the 37th conference on Winter simulation
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
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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.