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Optimised assignment of airport gate configurations using an immune genetic algorithm†

Published online by Cambridge University Press:  04 September 2014

LI WANG
Affiliation:
College of Aeronautical Automation, Civil Aviation University of China, Tianjin, 300300, China Email: lwang@cauc.edu.cn; xfxu_007@163.com
QI-LIN ZHU
Affiliation:
College of Aeronautical Automation, Civil Aviation University of China, Tianjin, 300300, China Email: lwang@cauc.edu.cn; xfxu_007@163.com
XIAO-FANG XU
Affiliation:
College of Aeronautical Automation, Civil Aviation University of China, Tianjin, 300300, China Email: lwang@cauc.edu.cn; xfxu_007@163.com
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Abstract

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The function of airport gate assignment is to assign appropriate gates for arrival and departure flights and to ensure the flights are on schedule. A key task of airport ground operations is assigning the airport gate with high efficiency and a reasonable arrangement. In this paper we establish an optimised model based on the characteristics of both the flights (the flight type, flight down time and the number of passengers) and the airport gates (the ease of access of the airport gate). We give a representation of the solution space and a direct graph model of the airport gate configuration based on dynamic scheduling parallel machines. We design a method for solving the airport gate configuration based on an immune genetic algorithm. The simulation results show the effectiveness of this model and algorithm.