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

Abstract : 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.
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https://hal-enac.archives-ouvertes.fr/hal-02013194
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Submitted on : Tuesday, March 19, 2019 - 1:04:29 PM
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Paolo 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⟩

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