基于经济损失的航班延误恢复模型研究

摘要

The recovery scheduling of flight delays is analyzed, a rapid recovery model of large-scale airport flight delays is presented, the model considers not only time of flight delays, but also economic loss of flight delays of different aircraft types. And an immune genetic algorithm is suggested to solve the model, which is improved immune system based on immune system, reserves the feature of stochastic global parallel search of genetic algorithm, and avoids immature convergence considerably. The simulation result with flight data shows that the model and algorithm suggested are feasible and effective.%分析了航班延误的恢复调度问题,并针对问题提出了一种机场大面积航班延误恢复模型,模型考虑了航班延误的延误时间,还考虑了不同机型对航班延误经济损失造成的影响.构造了基于免疫机制的免疫遗传算法来求解模型,此算法保留了标准遗传算法随机全局并行搜索的特点,又在相当大的程度上避免了未成熟收敛.用实际的航班信息进行仿真研究结果表明,文中的模型和算法切实可行.