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基于免疫算法的物流配送中心的选址优化——以新疆兵团第一师为例

Location Optimization of Logistics Distribution Center based on Immune Algorithm——Take the First Division of Xinjiang Corps as an Example

  • 摘要: 与传统的遗传算法相比,免疫遗传算法对个体的选择和评价更为全面与合理。将免疫优化算法应用到林果业物流配送中心的选址中构建免疫算法的选址模型。选取一师阿拉尔市以及贫困人口较为密集的阿克苏地区的柯坪县、乌什县作为样本点,运用MATLAB 2015b在既定假设条件下对算例进行求解,得出青松路街道、二团、乌什镇为34个样本点的配送中心,验证了免疫算法在选址优化方面的有效性。研究结果对优化南疆贫困区物流节点布局,提升林果业物流运转速度具有重要意义。

     

    Abstract: Compared with traditional genetic algorithm,immune genetic algorithm is more comprehensive and reasonable in individual selection and evaluation.The immune optimization algorithm is applied to the location of logistics distribution center of forest and fruit industry,and the location model of immune algorithm is constructed.Taking alar city of the first division and Keping County and Wushi County in Aksu area with dense poverty population as sample points,the example is solved by using MATLAB 2015b under the given assumptions.It is concluded that Qingsong road street,ertuan and Wushi town are the distribution centers of 34 sample points,which verifies the effectiveness of the immune algorithm in site selection optimization.The research results are of great significance to optimize the layout of logistics nodes in poverty-stricken areas in southern Xinjiang and improve the logistics operation speed of forest and fruit industry.

     

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