[1]
Piazza E. Increasing airport efficiency: injecting new technology[J]. Intelligent Systems, IEEE, 2002, 17(3): 10-13.
DOI: 10.1109/mis.2002.1005625
Google Scholar
[2]
Lam S H, Cao J M, Fan H. Development of an Intelligent Agent for Airport Gate Assignment [J]. Journal of Air Transportation, 2002, 7(2).
Google Scholar
[3]
Babic O, Teodorovic D, Tošic V. Aircraft stand assignment to minimize walking[J]. Journal of Transportation Engineering, 1984, 110(1): 55-66.
Google Scholar
[4]
Mangoubi R S, Mathaisel D F X. Optimizing gate assignments at airport terminals[J]. Transportation Science, 1985, 19(2): 173-188.
DOI: 10.1287/trsc.19.2.173
Google Scholar
[5]
Bihr R AAconceptualsolution to the aircraftgate assignment problem using 0, l linearprogramming[J]. Computersand IndustrialEngineering, 1990, 19(I-4):280-284.
Google Scholar
[6]
Yan S, Chang C M. A network model for gate assignment[J]. Journal of Advanced Transportation, 1998, 32(2): 176-189.
Google Scholar
[7]
Bolat A. Procedures for Providing robust gate assignmentsfor arriving aircrafts [J]. European Journal of OperationalResearch, 2000, 120, 63-80.
DOI: 10.1016/s0377-2217(98)00375-0
Google Scholar
[8]
A. Gomez,S. Garza. A Coevolufionary Method for Automating Airport GateScheduling. Proceedings of The Fourth Mexican International Conderenee 011 Computer Science, 2003, 27(3): 7.
Google Scholar
[9]
Kennedy, J. and R.C. Eberhart, Particle swarm optimization [C], in Proc. IEEE International Conference on Neural Networks. 1995, IEEE Press: Piscataway, New Jersey. p.1942-(1948).
Google Scholar