An improved squeaky wheel optimization approach to the airport gates assignment problem

Authors:
Cuiling Yu;Xueyan Song
Affiliations:
School of Computer Science and Technology, Tianjin University, Tianjin, China;School of Computer Science and Technology, Tianjin University, Tianjin, China
Venue:
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
Year:
2013

Citing 2
Cited 0

Aircraft and Gate Scheduling Optimization at Airports

HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 3 - Volume 3
"Squeaky Wheel" optimization

Journal of Artificial Intelligence Research

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Abstract

The optimization of the airport gates assignment problem aims to improve the efficiency of gates allocation as well as the satisfaction degree of passengers. In this paper, an SWO algorithm combined with Tabu Search strategy was proposed to optimize the allocation of airport gates. Experimental results show that the improved SWO approach is more efficient than the conventional SWO approach.