Conference papers
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.
Cited literature [24 references]
https://hal-enac.archives-ouvertes.fr/hal-02013194
Contributor : Laurence Porte <>
Submitted on : Tuesday, March 19, 2019 - 1:04:29 PM
Last modification on : Thursday, July 23, 2020 - 7:24:02 PM
Document(s) archivé(s) le : Thursday, June 20, 2019 - 2:10:34 PM
Contributor : Laurence Porte <>
Submitted on : Tuesday, March 19, 2019 - 1:04:29 PM
Last modification on : Thursday, July 23, 2020 - 7:24:02 PM
Document(s) archivé(s) le : Thursday, June 20, 2019 - 2:10:34 PM
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WSC2018(1).pdf
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