论文信息 - Air traffic flow management with heuristic repair

Air traffic flow management with heuristic repair

The European air traffic flow management problem poses particular challenges on optimization technology as it requires detailed modelling and rapid online optimization capabilities. Constraint programming proved successful in addressing these challenges for departure time slot allocation by offering fine-grained modelling of resource constraints and fast allocation through heuristic-repair strategies.

Ulrich Junker

[1] Yann Chevaleyre,et al. A Short Introduction to Computational Social Choice , 2007, SOFSEM.

[2] Nicolas Barnier,et al. Slot allocation with constraint programming : models and results , 2001 .

[3] Ted K. Ralphs,et al. Integer and Combinatorial Optimization , 2013 .

[4] Ulrich Junker. Preference-Based Problem Solving for Constraint Programming , 2007, CSCLP.

[5] Dimitris Bertsimas,et al. The Air Traffic Flow Management Problem with Enroute Capacities , 1998, Oper. Res..

[6] Michael McCool,et al. A Short Introduction , 2018, Passionate Embrace.

[7] Toby Walsh,et al. Handbook of Constraint Programming , 2006, Handbook of Constraint Programming.

[8] Steven Minton,et al. Minimizing Conflicts: A Heuristic Repair Method for Constraint Satisfaction and Scheduling Problems , 1992, Artif. Intell..

[9] Amedeo R. Odoni,et al. The Air Traffic Flow Management Problem: An Integer Optimization Approach , 2008, IPCO.

[10] Laurence A. Wolsey,et al. Integer and Combinatorial Optimization , 1988 .

[11] Pierre Flener,et al. Air-Traffic Complexity Resolution in Multi-Sector Planning , 2007 .

[12] Matthew L. Ginsberg,et al. Limited Discrepancy Search , 1995, IJCAI.