基于遗传算法的航空货运“干-支”联动配载优化研究
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1.郑州航空工业管理学院 航空宇航学院;2.郑州航空工业管理学院 航空宇航学院

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A

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国家自然科学基金(52206059);河南省通用航空技术重点实验室开放基金(ZHKF-230202);河南省科技攻关项目(222102240028)


Optimization study on air cargo "Trunk - Branch" linkage allocation based on genetic algorithm
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School of Aerospace Engineering, Zhengzhou University of Aeronautics

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    摘要:

    随着“干-支”联运多级航空货运体系逐步形成,机场货运周转效率不高的问题日益突出,“干-支”联动式货物高效配载方法已成为解决上述问题的关键技术之一。本文建立了以“干-支”最大装载率为优化目标,同时满足干线货机和支线货机的舱室位置约束、舱室尺寸约束、重心约束和重量约束等多重约束条件下的整数规划联动配载模型,基于遗传算法开展了B757-200干线货机和ARJ21-700F支线货机的“干-支”联动货物配载的优化研究。发现“干-支”联动货物配载的平均装载率相比于“干-支”逐次配载提高了5.45%,达到72.05%。表明本文所提出的“干-支”联动配载方法能显著增加货运总体装载量,从而有效提升机场货运周转效率,为“干-支”联运多级航空货运体系进一步发展提供了理论基础与技术支撑。

    Abstract:

    With the gradual formation of "Trunk-Branch" linkage multi-level air cargo transportation system, the problem of low turnover efficiency of airport cargo is becoming more and more prominent, and the " Trunk-Branch" linkage efficient cargo allocation methods have become one of the key technologies to solve the above problems. In this study, an integer programming linkage allocation model was established with the maximum loading rate under "Trunk-Branch" linkage as the optimization objective while simultaneously satisfying constraints such as cabin position, cabin size, center of gravity, and weight for both trunk and branch aircraft. This model was applied based on genetic algorithms to optimize the cargo allocation between the B757-200 trunk aircraft and the ARJ21-700F branch aircraft. It was found that the average loading rate of "Trunk-Branch" linkage allocation was increased by 5.45% to 72.05% compared with sequential allocation.By demonstrating that the proposed "Trunk-Branch" linkage allocation method in this study can significantly increase the overall cargo loading capacity, and thus effectively improving the efficiency of cargo turnover at airports, laying a theoretical foundation and providing technical support for the safe and efficient development of the "Trunk-Branch" linkage multi-level air cargo transportation system.

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李国举,张潜锐,余彬,等. 基于遗传算法的航空货运“干-支”联动配载优化研究[J]. 科学技术与工程, , ():

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  • 收稿日期:2024-04-26
  • 最后修改日期:2024-05-21
  • 录用日期:2024-06-05
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