由于天气变化,导致进港飞机降落的处理时间不确定的情况经常发生。因此,需要在受到天气影响,进港飞机在跑道的处理时间不确定时提高跑道的利用率,减少飞机的延误成本。以最小化航班总延误成本和跑道总工作量为优化目标,建立降落飞机的处理时间的鲁棒优化模型,设计出Epsilon约束算法对能够快速得出进港飞机降落方案的Pareto前沿。通过实例证明了模型的可行性及有效性,对机场终端在天气变化时对进港航班的合理调度具有一定的指导作用。 Due to the changing weather, it is not uncommon to find that the processing time for landing incoming aircraft is uncertain. Therefore, it is necessary to improve the runway utilization rate and reduce the delay cost of the aircraft when it is affected by the weather and the processing time of the entering aircraft at the runway is uncertain. In order to minimize the total flight delay cost and the total runway workload, the robust optimization model of landing time is established and the Epsilon constraint algorithm is designed to quickly determine the Pareto front of landing approach. The feasibility and validity of the model are proved by the examples. It has some guidance to the airport terminals in the reasonable scheduling of inbound and outbound flights when the weather changes.