ABSTRACT
In the first part of the talk I will discuss ambulance redeployment, in which an ambulance fleet is controlled in real-time to attempt to ensure short response times to calls. I'll focus on the use of simulation optimization to tune approximate-dynamic programs that yield highly effective policies, along with a coupling approach to compute a bound on the optimality gap. This work has motivated us to develop simulation-optimization algorithms that exploit parallel computing capabilities. In the second part of the talk, I'll discuss our work in developing "ranking and selection" algorithms for high-performance computing environments, and show results for runs using up to 1000 cores.
