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Input Uncertainty: Examples and Philosophies

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Design and Analysis of Experiments

I will present two examples that point to the importance of appreciating input uncertainty in simulation modeling. Both examples are set in the context of optimization problems where the objective function is estimated (with noise) through discrete-event simulation. I will then discuss some modeling philosophies adopted by the deterministic optimization research community in the context of input uncertainty, with the goal of identifying some modeling philosophies that might be appropriate for simulation optimization.

This talk is part of the Isaac Newton Institute Seminar Series series.

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