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A COLUMN GENERATION APPROACH TO SOLVE AIRCRAFT RECOVERY PROBLEM

机译:解决飞机恢复问题的列生成方法

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It is common that an airline is faced with the necessity of reconstructing their schedules due to disruptions. In this paper, we propose a model of aircraft recovery problem to fulfil the airline constraints. An algorithm based on column generation is also presented to solve the problem, where the master problem is modeled as a set partition problem and the subproblem is modeled as a shortest path problem on a time-space network. Delaying flight, swapping flight and canceling flight are considered in our model. The tradeoff between canceling flight and delaying flight is modeled by the cancel-delay equivalent M and the optimization objective is to minimize the total recovery cost.
机译:很常见的是,航空公司面临由于中断而重建其时间表的必要性。在本文中,我们提出了一种飞机恢复问题的模型来满足航空公司的约束。还呈现了一种基于列生成的算法来解决问题,其中主问题被建模为SET分区问题,并且子问题被建模为时空网络上的最短路径问题。在我们的模型中考虑了延迟飞行,交换飞行和取消航班。取消飞行和延迟飞行之间的权衡由取消延迟等效M进行建模,优化目标是最小化总恢复成本。

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