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24 May 2022 Research on optimal allocation of resources for arrival flight
Guoliang Zuo, Jia Hou, Xi Geng, Qiang Wang, Yong Liu
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Proceedings Volume 12260, International Conference on Computer Application and Information Security (ICCAIS 2021); 1226016 (2022) https://doi.org/10.1117/12.2637466
Event: International Conference on Computer Application and Information Security (ICCAIS 2021), 2021, Wuhan, China
Abstract
In order to solve the problem of flight delays caused by limited flight schedule resources, an inbound flight schedule resource optimization model was established. Considering the interval constraints on arrival points during the control and command process, as well as constraints on airport capacity, flight transfer connections, wake interval, and other constraints; genetic algorithms are used to find the time schedule with the least total flight delays and the least amount of delayed flights. Taking the flight time resource allocation of double runway airport as an example, the proposed algorithm is simulated and verified by AirTop software. The optimization results show that the flight schedule optimized by the proposed algorithm can run smoothly and can completely absorb nonserious flight delays.
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Guoliang Zuo, Jia Hou, Xi Geng, Qiang Wang, and Yong Liu "Research on optimal allocation of resources for arrival flight", Proc. SPIE 12260, International Conference on Computer Application and Information Security (ICCAIS 2021), 1226016 (24 May 2022); https://doi.org/10.1117/12.2637466
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KEYWORDS
Optimization (mathematics)
Computer simulations
Genetic algorithms
Acquisition tracking and pointing
Process control
Algorithm development
Genetics
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