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An efficient hybrid meta-heuristic for aircraft landing problem

机译:飞机降落问题的有效混合元启发式算法

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Aircraft landing problem is to assign an airport's runways to the arrival aircrafts as well as to schedule the landing time of these aircrafts. In this paper, first a mixed integer goal programming model is developed. Then, due to the complexity of the problem, which is NP-hard, we design a hybrid meta-heuristic applying simulated annealing framework. The computational results show that the proposed algorithm can obtain the optimal solution for instances up to 100 aircrafts, and also it is capable of finding very high quality and comparable solutions for the problems with up to 500 aircrafts and 5 runways in a short time.
机译:飞机着陆问题是将机场的跑道分配给到达的飞机,并安排这些飞机的着陆时间。本文首先建立了一个混合整数目标规划模型。然后,由于问题的复杂性,即NP难,我们设计了一种使用模拟退火框架的混合元启发式算法。计算结果表明,所提出的算法可以为多达100架飞机的实例获得最优解,并且能够在短时间内为多达500架飞机和5个跑道的问题找到非常高质量和可比的解决方案。

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