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A framework for Response Surface Methodology for simulation optimization

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A framework for Response Surface Methodology for simulation optimization
We develop a framework for automated optimization of stochastic simulation models using Response Surface Methodology. The framework is especially intended for simulation models where the calculation of the corresponding stochastic response function is very expensive or timeconsuming. Response Surface Methodology is frequently used for the optimization of stochastic simulation models in a non-automated fashion. In scientific applications there is a clear need for a standardized algorithm based on Response Surface Methodology. In addition, an automated algorithm is less time-consuming, since there is no need to interfere in the optimization process. In our framework for automated optimization we describe the many choices that have to be made in constructing such an algorithm.
H. Gonda Neddermeijer, Gerrit J. van Oortmarssen,
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where WSC
Authors H. Gonda Neddermeijer, Gerrit J. van Oortmarssen, Nanda Piersma, Rommert Dekker
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