The Research of Aircraft Landing Problems Based on Neural Network

Ming Qiang Chen; Guang Ming Zhang; Jun Hong Feng

doi:10.4028/www.scientific.net/AMR.651.891

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 651The Research of Aircraft Landing Problems Based on...

The Research of Aircraft Landing Problems Based on Neural Network

Abstract:

Aircraft Landing Scheduling (ALS) problem is a typical hard multi-constraint optimization problem. In real applications, it is not most important to find the best solution but to provide a feasible landing schedule in an acceptable time. Scheduling aircraft landing is a complex task encountered by most of the control towers. In this paper, we study the aircraft landing problem (ALP) in the multiple runway case. This paper proposes a method based on neural network which can effectively solve the ALS while satisfying the real-time need.

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Periodical:

Advanced Materials Research (Volume 651)

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891-895

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.651.891

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Online since:

January 2013

Authors:

Ming Qiang Chen, Guang Ming Zhang, Jun Hong Feng

Keywords:

Aircraft Landing, Neural Network (NN), Scheduling

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