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

机译：基于动态时间窗遗传算法的机场多跑道优化调度

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摘要

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.
机译：合理的机场跑道调度是缓解空中交通拥堵的有效措施。本文提出了一种新的航班调度模型和算法。考虑到运行条件和飞行安全间隔等因素，跑道吞吐量，航班延误成本和控制器工作量构成了一个多目标优化模型。将遗传算法与滑动时间窗算法相结合来求解本文提出的模型。仿真结果表明，与FCFS（先到先得）相比，本文提出的算法取得了最佳效果，跑道吞吐量提高了12.87％，延误成本降低了61.46％，控制器的工作量也大大减少。 。同时，与常规遗传算法相比，它还减少了时间复杂度，并显着提高了实时性和工作效率。分析结果可为空中交通管制员提供更好的空中交通管制提供指导。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第19期|854372.1-854372.12|共12页
  • 作者

    Zhou Hang; Jiang Xinxin;

  • 作者单位

    Nanjing Univ Aeronaut & Astronaut, Coll Civil Aviat, Nanjing 210016, Jiangsu, Peoples R China.;

    Nanjing Univ Aeronaut & Astronaut, Coll Civil Aviat, Nanjing 210016, Jiangsu, Peoples R China.;

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