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p-hub median location optimization of hub-and-spoke air transport networks in express enterprise

机译:快递企业轮辐式航空运输网络的p-hub中位位置优化

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Based on the single allocation p-hub median location problem in hub-and-spoke networks, thispaper studies the aviation hubs location optimization of express enterprise, primarily usingp-median model and greedy dropping heuristic algorithm to solve the initial candidate locationsof the aviation hubs by Lingo. Then, the integer programmodel of the location and allocation of theaviation hubs was set up, with the upper limit of the distribution distance as the main constraint.The improved locations were calculated by immune algorithm on Matlab. The numerical exampleofAexpress enterprisewaspresented. After analyzing the status andtheproblems of aviationhublocation in EastChina, the two best hub locations Wuxi andHangzhou were finally determined byabove model with the total cost reduced by 19.6%. The optimization results show the validationof themodel.
机译:本文基于中心辐射网络中的单分配p-hub中位定位问题,主要研究 r np中值模型和贪婪掉落启发式算法来解决快递企业的航空中心位置优化问题。 Lingo在航空枢纽的最初候选位置。然后,以分布距离的上限为主要约束条件,建立 r 导航枢纽位置和分配的整数程序模型。 r n在Matlab上通过免疫算法计算出改进后的位置。给出了数字示例 r nofAexpress企业。通过分析华东地区航空枢纽的现状和存在的问题,最终通过 n nabove模型确定了无锡和杭州两个最佳枢纽位置,总成本降低了19.6%。优化结果显示了模型的验证 r n。

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