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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.
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning
Several meta-optimization methods have been proposed to find the best parameter set for a given optimization algorithm and (set of) problem instances.
Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches
Most real-world Planning problems are multi-objective, trying to minimize both the makespan of the solution plan, and some cost of the actions involved in the plan.
