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ABSTRACT
This tutorial introduces some of the ideas, issues, challenges, solutions, and opportunities in deciding how to experiment with a simulation model to learn about its behavior. Careful planning, or designing, of simulation experiments is generally a great help, saving time and effort by providing efficient ways to estimate the effects of changes in the model's inputs on its outputs. Traditional experimental-design methods are discussed in the context of simulation experiments, as are the broader questions pertaining to planning computer-simulation experiments.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Fred Glover , James P. Kelly , Manuel Laguna, New advances for wedding optimization and simulation, Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future, p.255-260, December 05-08, 1999, Phoenix, Arizona, United States
[doi> 10.1145/324138.324223]
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