Abstract
This chapter reviews recent research into the use of simulation in random search optimization (RSO) of system performance. If a simulation model is available that can be made run sufficiently quickly then RSO can be used to aid time-critical decision making. An example of such a situation is the provision of a fire and rescue service response to an emergency. The methodology of using a simulation model in this way is discussed using either a fully normal, or a partially normal statistical model. Two numerical examples are included including one from the fire and rescue service.
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Cheng, R.C.H. (2015). Supporting Time-Critical Decision Making with Real Time Simulations. In: Dellino, G., Meloni, C. (eds) Uncertainty Management in Simulation-Optimization of Complex Systems. Operations Research/Computer Science Interfaces Series, vol 59. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7547-8_1
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