Proceedings of the 33nd conference on Winter simulation
Airline and airport applications: simulation optimization of airline delay with constraints
Proceedings of the 33nd conference on Winter simulation
Panel: simulation optimization: future of simulation optimization
Proceedings of the 33nd conference on Winter simulation
Introduction to Stochastic Search and Optimization
Introduction to Stochastic Search and Optimization
Discrete optimization via simulation using coordinate search
WSC '05 Proceedings of the 37th conference on Winter simulation
A framework for locally convergent random-search algorithms for discrete optimization via simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
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Analyses of benefits due to changes in the National Airspace System (NAS) tend to focus on the delay reduction (or similar metric) given a fixed traffic schedule. In this paper, we explore the use of simulation optimization to solve for the increased traffic volume that the proposed change can support given a constant delay. The increased traffic volume as a result of the change can therefore be considered another benefit metric. As the NAS is a highly nonlinear stochastic system, the technique required to compute the increase traffic volume necessarily requires stochastic optimization methods.