no code implementations • 19 Jun 2014 • Gaétan Marceau, Marc Schoenauer
In the context of Noisy Multi-Objective Optimization, dealing with uncertainties requires the decision maker to define some preferences about how to handle them, through some statistics (e. g., mean, median) to be used to evaluate the qualities of the solutions, and define the corresponding Pareto set.
no code implementations • 16 Sep 2013 • Gaétan Marceau, Pierre Savéant, Marc Schoenauer
We investigate a method to deal with congestion of sectors and delays in the tactical phase of air traffic flow and capacity management.
no code implementations • 16 Sep 2013 • Gaétan Marceau, Pierre Savéant, Marc Schoenauer
This article addresses the issue of computing the expected cost functions from a probabilistic model of the air traffic flow and capacity management.
no code implementations • 16 Sep 2013 • Gaétan Marceau, Pierre Savéant, Marc Schoenauer
Since air traffic regulations and sector congestion are antagonist, we designed and implemented a multi-objective optimization algorithm for determining the best trade-off between these two criteria.