基于鲁棒性提高的航班计划优化模型

为了减少由于各种原因导致的航班延误情况,提高航班计划的鲁棒性,在对某航空公司冬春航班的某月10 d航班延误数据进行分析的基础上,建立了基于鲁棒性提高的航班计划优化模型。该模型在制订航班计划时考虑鲁棒性因素,并且通过约束成本控制航班运营成本的增加。为了验证模型的准确性,通过Lingo进行建模,并代入10 d的航班数据进行验证。实验结果表明,当航班成本增加比率为0时鲁棒性为0,当航班成本增加比率为0.2时鲁棒性有最大解,10 d之中8 d结果正常,仅有2 d因为数据缺失产生较小解,初步完成了模型的验证。

Flight Planning Optimization Model Based on Improved Robustness

In order to reduce flight delays caused by various reasons and improve the robustness of flight plans, based on the analysis of the flight delay data of a certain airline in winter and spring flights for a certain month and ten days, an optimization model of flight plan based on the improvement of robustness is established. The model considers robustness factors when formulating flight plans, and controls the increase in flight operating costs by constraining costs. In order to verify the accuracy of the model, this paper uses Lingo to perform modeling and brings in ten-day flight data for verification. The experimental results show that the robustness is 0 when the flight cost increase rate is 0, and the robustness has the maximum solution when the flight cost increase rate is 0.2. The results are normal on the eighth day of ten days, and only two days are due to missing data. Smaller solution, preliminary verification of the model has been completed.