[1] Beatty R, Hsu R, Berry L, et al. Preliminary evaluation of flight delay propagation through an airline schedule[J]. Air Traffic Control Quarterly, 1999, 7(4):259-270.
[2] Richetta O, Odoni A. Solving optimally the static ground-holding policy problem in air traffic control[J]. Transportation Science, 1993, 27(3): 228-238.
[3] Balakrishnan H, Jung Y. A framework for coordinated surface operations planning at Dallas-Fort Worth International Airport[C]//AIAA Guidance, Navigation,and Control Conference, 2007:2382-2400.
[4] Simaiakis I, Balakrishan H. Queuing models of airport departure processes for emissions reduction[C]//AIAA Guidance, Navigation and Control Conference and Exhibit, 2009.
[5] Czemy A I. Airport congestion management under uncertainty[J]. Transportation Research Part B:Methodological, 2010, 44(3): 371-38.
[6] 董莹,安然. 机场航空器地面滑行时间优化研究[J]. 交通运输系统工程与信息, 2011, 11(5): 141- 146.[DONG Y, AN R. Optimization of aircraft taxiing time[J]. Journal of Transportation Systems Engineering and Information Technology, 2011, 11(5): 141-146.]
[7] Howell D, Fontaine P, Ritchey S. Measuring the impact of surface surveillance data sharing on day-to-day surface operations[C]//Proceedings of the AIAA 4th Aviation Technology, Integration, and Operations (ATIO) Forum, Chicago, IL, September, 2004.
[8] Alex Nakahara, Tom G Reynolds. Analysis of a surface congestion management technique at New York JFK airport[C]//11th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference, Virginia Beach, VA, AIAA ,2011.
[9] Simaiakis I, Balarishnan H. Dynamic control of airport departures: Algorithm development and field evaluation[C]//American Control Conference ACC, 2012.
[10] Federal Aviation Administration Air Traffic Organization Surface Operations Office, US. Airport Surface Collaborative Decision Making (CDM) Concept of Operations (ConOps) in the Near-Term: Application of Surface CDM at United States Airports[S]. Federal Aviation Administration, 2012.
[11] Eurocontrol. Airport CDM Operational Concept Document[S]. Eurocontrol, 2006.
[12] Bhadra D, Knorr D A, Levy B. Benefits of virtual queuing at congested airports using ASDE- X: A case study of JFK airport[J]. Air Traffic Control Quarterly, 2012, 20(3): 225-252.
[13] Brinton C, Provan C, Lent S, et al. Collaborative departure queue management[C]//Ninth USA/Europe Air Traffic Management Research and Development Seminar. Berlin, Germany, 2011.
[14] Burgain P, Feron E, Clarke J P. Collaborative virtual queue: Fair management of congested departure operations and benefit analysis[J]. Arxiv Preprint ArXiv: 0807.066, 2008.
[15] Wojcik L A, Mondoloni S L, Agbolosu-Amison S J, et al. Flexibility metrics and their application to departure queue management[C]//Tenth USA/Europe Air Traffic Management Research and Development Seminar, Chicago, IL, 2013.
[16] Tang L X, Dong Y, Liu J Y. Differential evolution with an individual-dependent mechanism[C]. IEEE Transactions on Evolutionary Computation, 2014.
[17] Dong Y, Guo Q, Tang L. A pointer-based discrete differential evolution[C]. 2013 IEEE Congress on Evolutionary Computation, Mexico, 2013.
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