Sim-Opt in the loop: algorithmic framework for solving airport capacity problems

Paolo Maria Scala (1) , Miguel Mujica (1) , Cheng-Leng Wu (2) , Daniel Delahaye (3)

1 HvA - Hogeschool van Amsterdam
2 UNSW - University of New South Wales [Sydney]
3 ENAC - Ecole Nationale de l'Aviation Civile

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.

Domaines: Mathématiques [math]; Optimisation et contrôle [math.OC]

Paolo Maria Scala, Miguel Mujica, Cheng-Leng Wu, Daniel Delahaye. Sim-Opt in the loop: algorithmic framework for solving airport capacity problems. WSC 2018, Winter Simulation Conference, Dec 2018, Gothenburg, Sweden. pp 2261-2272. ⟨hal-02013194⟩