FCA-PCA rate-optimization models for CTOP are shown to distort flight routes through flow-split approximations, and a two-phase simulation-based optimization framework yields improved rates on a single realistic test case.
Centralized disaggregate stochas- tic allocation models for Collaborative Trajectory Options Program (CTOP) 37th AIAA/IEEE Digital Avionics Systems Conference (DASC), London
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Stochastic and Simulation-based Models for Setting Flow Rates in Collaborative Trajectory Options Program (CTOP)
FCA-PCA rate-optimization models for CTOP are shown to distort flight routes through flow-split approximations, and a two-phase simulation-based optimization framework yields improved rates on a single realistic test case.