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The point is to help you ask the right questions by showing you the answer is to what you think is the right question. In simulation based decision support, the simulations can be complex and expensive to run. In contrast, the figure of merit is often simple and tentative. Important requirements may be omitted initially because they are so obvious to the decision maker he forgets to specify them.

We should think of ourselves as providing tools for a client who is exploring decision variable space. The idea is to use optimization of these tentative formulations as a guide to where it would be interesting to look. Thus, we need to make it easy to change problem formulations and retain useful algorithmic information.