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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 ,
QI-LIN ZHU  and
XIAO-FANG XU
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

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.

Type
Paper
Information
Mathematical Structures in Computer Science , Volume 24 , Special Issue 5: Mathematical Method in Intelligent Computing and Automation , October 2014 , e240517
Copyright
Copyright © Cambridge University Press 2014 

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Footnotes

†

The work for this paper was supported by the Civil Aviation University of China fund ‘based on infrared image processing for TCAS system depth testing system maintenance’ (item number 2010kyE07) and by the National Natural Science Foundation of China (60472130).

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