基于多目标动态规划的多跑道进港排序

Multi-objective dynamic programming algorithm for aircraft arrival sequencing and runway scheduling

中文关键词  进港排序  多跑道调度  多目标优化

英文关键词  aircraft arrival sequencing  multi-runway scheduling  multi-object optimization

中文摘要

      随着航空运输的高速增长, 航班延误日益严重, 而对飞机进行进港排序和跑道调度能有效提高机场吞吐量、减少飞机燃油花费, 从而减轻航班延误, 提升经济效益. 由于大量飞机的多跑道进港优化调度问题是一个非确定型多项式完全(NP-C)问题, 该问题一直没有得到有效解决. 本文针对已有的基于位置交换束缚的单跑道动态规划算法运算量大、运算效率低的不足, 采用优化解空间的措施并运用贪心策略, 同时将其推广到双跑道调度, 从而解 决大量飞机的双跑道、多目标进港排序优化问题. 大量仿真实验表明, 该算法复杂度与飞机数量呈近似线性关系,能在较短时间内对吞吐量和降落花费同时实现优化.

英文摘要

      Optimization of runway scheduling for aircraft landings plays an important role in modern air traffic control, by maximizing throughput of an airport and minimizing fuel cost of aircrafts. As a nondeterministic polynomialcomplete( NP-C) problem, the runway scheduling of a considerable number of aircrafts in a multirunway airport hasn’t been effectively solved. Because of considerable computation required by the traditional dynamic programming algorithm under constrained position shifting(CPS), we can only sequence aircrafts and schedule the time of arrival in a single-runway airport. This paper presents a new dynamic programming algorithm by changing the way of recurrence and combining the traditional one with several other methods including a greedy algorithm. Our algorithm can solve the problem of multirunway scheduling with multi-object efficiently and effectively. A large number of experiments show that the complexity of the algorithm is almost linearly proportional to the number of aircrafts, and the algorithm can optimize both throughput and landing cost simultaneously in a short period of time.