We give a tutorial introduction to simulation optimization. We begin by classifying the problem setting according to the decision variables and constraints, putting the setting in the simulation context, and then summarize the main approaches to simulation optimization. We then discuss three topics in more depth: optimal computing budget allocation, stochastic gradient estimation, and the nested partitions method. We conclude by briefly discussing some related research and currently available simulation optimization software.
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