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2013 (Vol. 6, Issue: 12)
Article Information:

Hybrid Genetic-cuckoo Search Algorithm for Solving Runway Dependent Aircraft Landing Problem

Hongqing Zheng, Yongquan Zhou and Peigang Guo
Corresponding Author:  Yongquan Zhou 

Key words:  Aircraft traffic control, cuckoo search algorithm, genetic algorithm, runway scheduling, , ,
Vol. 6 , (12): 2136-2140
Submitted Accepted Published
December 3, 2012 January 19, 2013 July 30, 2013

As the demand for air transportation continues to grow, some flights cannot land at their preferred landing times because the airport is near its runway capacity. Therefore, devising a method for tackling the Aircraft Landing Problem (ALP) in order to optimize the usage of existing runways at airports is the focus of this study. This study, a hybrid Genetic-Cuckoo Search (GCS) algorithm for optimization the ALP with runway is proposed. The numerical results showed that the proposed GCS algorithm can effectively and efficiently determine the runway allocation, sequence and landing time for arriving aircraft for the three test cases by minimizing total delays under the separation constraints in comparison with the outcomes yielded by previous studies.
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  Cite this Reference:
Hongqing Zheng, Yongquan Zhou and Peigang Guo, 2013. Hybrid Genetic-cuckoo Search Algorithm for Solving Runway Dependent Aircraft Landing Problem.  Research Journal of Applied Sciences, Engineering and Technology, 6(12): 2136-2140.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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