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SIM-OPT in the Loop: Algorithmic Framework for Solving Airport Capacity Problems

SIM-OPT in the Loop: Algorithmic Framework for Solving Airport Capacity Problems

Samenvatting

The following paper presents an innovative approach for dealing with complex capacity problems in aviation. We introduce a sliding window framework composed by an optimization method with a simulation component. By applying this framework in diverse problems that are dependent on time it is possible to find feasible and close-to-reality solutions in shorter time than the ones that could be achieved by evaluating the problem in the complete time-horizon. The framework can be applied to solve diverse problems in aviation or similar industries. We exemplify the approach with a model of Paris Charles de Gaulle Airport in France.

OrganisatieHogeschool van Amsterdam
LectoraatLectoraat Aviation Engineering
Jaar2018
TypeConferentiebijdrage
TaalEngels

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