2 citations · 5 across the 7 of their papers we have counts for
8 papers
Multiobjective Tactical Planning under Uncertainty for Air Traffic Flow and Capacity Management
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. It relies on temporal objectives given for…
Computational Methods for Probabilistic Inference of Sector Congestion in Air Traffic Management
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. The Clenshaw-Curtis quadrature…
Strategic Planning in Air Traffic Control as a Multi-objective Stochastic Optimization Problem
Gaétan Marceau, Pierre Savéant, Marc Schoenauer
With the objective of handling the airspace sector congestion subject to continuously growing air traffic, we suggest to create a collaborative working plan during the strategic ph…
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal +2
Parameter tuning is recognized today as a crucial ingredient when tackling an optimization problem. Several meta-optimization methods have been proposed to find the best parameter…
Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal +2
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. But most, if no…
Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal +2
All standard AI planners to-date can only handle a single objective, and the only way for them to take into account multiple objectives is by aggregation of the objectives. Further…