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In this paper we address the problem of finding the simulated system with the best (maximum or minimum) expected performance when the number of systems is large and initial samples from each system have already been taken. This problem may be encountered when a heuristic search procedure—perhaps one originally designed for use in a deterministic(More)
This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents(More)
The combination of simulation and optimization, essentially unheard of in practice a decade ago, is much more accessible today, thanks in large part to the development of commercial optimization software designed for use with existing simulation packages. Despite this growth, untapped applications abound. This panel, which includes developers of simulation(More)
In 2001, Detroit Metropolitan Wayne County Airport (DTW) opened a new runway parallel to three existing runways. While this increases DTW's runway capacity, the airport is served by an airspace (routes, procedures, and controller assignments) that was designed only for a three-runway airport. To increase the airport's effective capacity, the Detroit-area(More)
An airplane's ability to absorb delay while airborne is limited and costly. Because of this, the air traffic control system anticipates and manages excessive demand for scarce shared resources, such as arrival runways or busy airspace, so that the delay necessary for buffering can be spread out over a larger distance, or taken on the ground before(More)
Research on the optimization of stochastic systems via simulation often centers on the development of algorithms for which global convergence can be guaranteed. On the other hand, commercial software applications that perform optimization via simulation typically employ search heuristics that have been successful in determin-istic settings. Search(More)