1Delahaye D,Odoni A. Airspace congestion smoothing by stochastic optimization [C]// Proceedings of the sixth International Conference on Evolutionary Pro- gramming. USA : IEEE, 1997 : 163-176.
2Delahaye D,Sofiane O, Puechmorel S. Airspace con- gestion smoothing by multi-objective genetic algo- rithm[C]//Proceedings of ACM Symposium on Ap- plied Computing. Santafe :ACM, 2005 : 907-912.
3Bertsimas D,Guglielmo L,Odoni A. The air traffic flow management problem: an integer optimization approach [C] // Proceedings of 13th International Conference. Bertinoro : IPCO, 2008 : 34-46.
4Davidson G, Krozel J, Green S M, et al. Strategic traffic flow management concept of operations[C]// Proceedings of the AIAA Aircraft Tech, Integration and Operation Conference. Chicago : AIAA, 2004 : 1-10.
5Elefante S. A statistical and probabilistic approach for improving efficiency in air traffic flow manage- ment[D]. Scotland: Department of Aerospace Engi- neering, University of Glasgow, 2001.
6Hoffman R, Krozel J,Davidson G, et al. Probabilistic scenario-based event planning for traffic flow man- agement [C]// Proceedings of the AIAA Navigation and Control Conference and Exhibit. Hilton Head :A- IAA, 2007 : 1-13.
7Liu P B,Hansen M,Mukherjee A. Scenario-based air traffic flow management-from theory to practice[J].Transportation Research, 2008,Part B(42): 685-702.
8DeArmon J, Wanke C, Greenbaum D. Probabilistic TFM:Preliminary benefits analysis of an incremental solution approach [EB/OL]. 2010-09-20. http: // www. mitre, org/work/tech.papers/tech.papers_08/ 07_0168/07.0168. pdf.