The stochastic Air traffic Flow Management (ATFM) problem is now attracting a lot of interest from the research community. In this talk, we present a two-stage stochastic integer programming formulation for the problem, which balance the trade-off between the complexity of the model and its representation of reality. To solve the problem, we present a decomposition approach to take advantage of the underlying structure of the problem
Corolli, L., Lulli, G., Ntaimo, L. (2012). A decomposition approach for the stochastic ATFM problem. Intervento presentato a: INFORMS Annual Meeting 2012, Phoenix.
A decomposition approach for the stochastic ATFM problem
LULLI, GUGLIELMO;
2012
Abstract
The stochastic Air traffic Flow Management (ATFM) problem is now attracting a lot of interest from the research community. In this talk, we present a two-stage stochastic integer programming formulation for the problem, which balance the trade-off between the complexity of the model and its representation of reality. To solve the problem, we present a decomposition approach to take advantage of the underlying structure of the problem
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