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Modelling Robust Flight-Gate Scheduling as a Clique Partitioning Problem

机译:将稳健的飞行门调度建模为集团划分问题

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This paper considers the problem of assigning flights to airport gates. We examine the general case in which an aircraft serving a flight may be assigned to different gates for arrival and departure processing and for optional intermediate parking. Restrictions to this assignment include gate closures and shadow restrictions, i.e., the situation in which certain gate assignments may cause the blocking of neighboring gates. The objectives include maximization of the total assignment preference score, minimization of the number of unassigned flights during overload periods, minimization of the number of tows, as well as maximization of the robustness of the resulting schedule with respect to flight delays. We are presenting a simple transformation of the flight-gate scheduling (FGS) problem to a graph problem, i.e., the clique partitioning problem (CPP). The algorithm used to solve the CPP is a heuristic based on the ejection chain algorithm by Dorndorf and Pesch [Dorndorf, U., E. Pesch. 1994. Fast clustering algorithms. ORSA J. Comput. 6 141–153]. This leads to a very effective approach for solving the original problem.
机译:本文考虑了将航班分配给机场登机口的问题。我们研究了将飞行中的飞机分配到不同的登机口进行进出场处理以及可选的中间停车的一般情况。对这种分配的限制包括门关闭和阴影限制,即某些门分配可能导致相邻门阻塞的情况。目标包括使总的分配偏好得分最大化,使过载期间未分配飞行的数量最小化,使拖车的数量最小化以及相对于航班延误而言所产生的时间表的鲁棒性最大化。我们提出了将飞行门调度(FGS)问题简单转换为图形问题(即集团划分问题(CPP))的方法。用于解决CPP的算法是一种基于Dorndorf和Pesch [Dorndorf,U.,E. Pesch。的喷射链算法的启发式算法。 1994年。快速聚类算法。 ORSA J.计算。 6 141–153]。这导致解决原始问题的非常有效的方法。

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