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Mathematical Problems in Engineering
Volume 2015, Article ID 854372, 12 pages
Research Article

Multirunway Optimization Schedule of Airport Based on Improved Genetic Algorithm by Dynamical Time Window

College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Jiangsu, Nanjing 210016, China

Received 15 January 2015; Accepted 24 April 2015

Academic Editor: Wei (David) Fan

Copyright © 2015 Hang Zhou and Xinxin Jiang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Reasonable airport runway scheduling is an effective measure to alleviate air traffic congestion. This paper proposes a new model and algorithm for flight scheduling. Considering the factors such as operating conditions and flight safety interval, the runway throughput, flight delays cost, and controller workload composes a multiobjective optimization model. The genetic algorithm combined with sliding time window algorithm is used to solve the model proposed in this paper. Simulation results show that the algorithm presented in this paper gets the optimal results, the runway throughput is increased by 12.87%, the delay cost is reduced by 61.46%, and the controller workload is also significantly reduced compared with FCFS (first come first served). Meanwhile, compared with the general genetic algorithm, it also reduces the time complexity and improves real-time and work efficiency significantly. The analysis results can provide guidance for air traffic controllers to make better air traffic control.