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A column generation post-optimization heuristic for the integrated aircraft and passenger recovery problem

机译:针对综合飞机和乘客恢复问题的列生成后优化启发式

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The use of hub-and-spoke networks by most major commercial airlines means that small disruptions can have a significant impact on their operational costs. These disruptions, such as delayed or cancelled flights, reduction in arrival and departure capacity, and unavailable crew or aircraft, occur frequently and when they do, airlines must recover their operations as quickly as possible. In this paper we model the joint aircraft and passenger recovery problem as a mixed integer program and we present a column generation post-optimisation heuristic to solve it. We also show how the model and the heuristic can be modified to consider passenger recovery only. The resulting heuristic improves the best known solutions for all instances of the 2009 ROADEF Challenge, within reasonable computing times. (C) 2015 Elsevier Ltd. All rights reserved.
机译:大多数主要的商业航空公司都使用轮辐网络,这意味着小规模的干扰可能对其运营成本产生重大影响。这些干扰经常发生,例如航班延误或取消,进出港能力下降以及机组人员或飞机不可用,而当发生这种情况时,航空公司必须尽快恢复其运营。在本文中,我们将飞机和乘客的联合恢复问题建模为一个混合整数程序,并提出一种列生成后优化启发式算法来解决。我们还展示了如何修改模型和启发式方法以仅考虑乘客的恢复。由此产生的启发式方法可以在合理的计算时间内改进2009 ROADEF挑战赛所有实例的最著名解决方案。 (C)2015 Elsevier Ltd.保留所有权利。

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