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

Paolo Scala, Miguel Mujica , Cheng-Lung Wu, Daniel Delahaye

Research output: Contribution to conferencePaperAcademic

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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.
Original languageEnglish
Publication statusPublished - 2018
EventWinter Simulation Conference 2018 - Gothenburg, Sweden
Duration: 9 Dec 201812 Dec 2018


ConferenceWinter Simulation Conference 2018
Abbreviated titleWSC 2018


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