基于遗传算法的航路点流量组合预测方法研究

Study on Combined Prediction Method of Waypoint Flow Based on Genetic Algorithm

航班放行是保证航班正常的最基本工作之一,航路点流量特别是走廊口流量是航班放行中最关注的问题之一,航路点流量预测对航班放行的时隙分配至关重要。在对几种常用航路点流量预测方法优缺点进行分析和比较的基础上,提出了一种基于遗传算法的航路点流量组合预测方法,该方法利用遗传算法群体搜索的特点,组合了各种算法,优化了预测思路,充分发掘不同算法的差异优势,实践证明该思路切实有效。

ATC Clearance is one of the most important work of norrnal flight. The flow of waypoint, the fow at the threshold of the corridon especially, is one of the most important factors for ATC Clearance. The prediction of waypoint flow is critical for ATC Clearance. In this paper, some useful forecasting methods, including the advantage and shortcoming, are discussed. In the end, combined prediction of waypoint flow based on genetic algorithm is given, using the characteristics of genetic algorithm＇s colony search, the new algorithm combines all kinds of algorithms, optimizes the prediction way of thinking, fully discovers the advantages of different algorithms, and turns out to be practical and productive.