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Racing Multi-Objective Selection Probabilities
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.
Multiobjective Tactical Planning under Uncertainty for Air Traffic Flow and Capacity Management
We investigate a method to deal with congestion of sectors and delays in the tactical phase of air traffic flow and capacity management.
Computational Methods for Probabilistic Inference of Sector Congestion in Air Traffic Management
This article addresses the issue of computing the expected cost functions from a probabilistic model of the air traffic flow and capacity management.
Strategic Planning in Air Traffic Control as a Multi-objective Stochastic Optimization Problem
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.
