基于多目标算法的航站楼值机系统动态配置研究
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张天炫(1995—),女,硕士研究生,研究方向为交通运输规划与管理。E-mail:245013490@99.com。

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[U8]

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国家自然科学基金项目(51608268);南京航空航天大学研究生创新基地(实验室)开放基金(kfjj20190708)


Research on Dynamic Configuration of Terminal Check-in System Based on Multi-Objective Algorithm
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    摘要:

    针对目前航站楼值机系统动态配置以求解设施使用成本与旅客时间成本两者之和最小化存在的低置信度问题,提出了一种配置方案多目标优化方法。 将多目标算法应用到值机系统动态配置过程中,对航空公司和旅客分别设置柜台运营成本和值机排队等待时间的优化目标,构建航站楼值机系统动态配置模型,对南京禄口国际机场 T2 航站楼 D 岛值机柜台开放数量进行动态配置。 通过 NSGA-Ⅱ算法获得 Pareto 最优解,同时基于 TOPSIS 方法的后验评价,对不同的配置方案进行了对比分析,最终得出全天 D 岛值机系统动态配置结果。 该研究有效的消除了成本和时间量纲间的差异,有利于实现航空公司和机场各自独特的优化配置策略,为航站楼值机资源动态配置提供了新方法。

    Abstract:

    Aiming at the low confidence in the dynamic configuration ofterminal check-in system to minimize the sum of facility usage costs and passengers time costs, a multi -objective optimization method is proposed. The multi-objective algorithm was applied to the dynamic configuration process of check-in system. The optimization targets of counter operating costs and check-in waiting time for airlines and passengers were set respectively, and dynamic configuration model of terminal check-in system was built to configure the opening number of Disland check-in counters in the Nanjing Lukou International Airport Terminal 2 dynamically.The NSGA-Ⅱ algorithm was employed to obtain the Pareto optimal solution, at the same time, a posteriori evaluation based on TOPSIS was used to compare and analyze the different configuration schemes. Finally, the dynamic configuration results of the D-island check-in system for the whole day were obtained. The research effectively eliminates the difference between cost and time dimensions, which is beneficial for airlines and airports to achieve unique optimization strategies and provides a new method for dynamic configuration of check-in resources.

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张天炫,包丹文,朱婷,羊钊,田诗佳.基于多目标算法的航站楼值机系统动态配置研究[J].华东交通大学学报,2020,37(5):80-88.
Zhang Tianxuan, Bao Danwen, Zhu Ting, Yang Zhao, Tian Shijia. Research on Dynamic Configuration of Terminal Check-in System Based on Multi-Objective Algorithm[J]. JOURNAL OF EAST CHINA JIAOTONG UNIVERSTTY,2020,37(5):80-88

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  • 在线发布日期: 2021-05-11
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