基于遗传算法的快递物流配送中心选址
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湖南省社会科学成果评审委员会基金资助项目(XSP20ZDI012)


Research on the Location of Express Logistics Distribution Center Based on Genetic Algorithm
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    摘要:

    以快递物流配送中心选址问题为研究对象,结合其选址特点构建了含有固定投资成本、管理成本、 运输成本等诸多成本要素的目标函数,建立了基于遗传算法的选址模型,并利用改进后的求解策略或方法对 算法模型进行求解,有效提高了算法模型的求解效率和求解质量。实例研究中,将 Matlab2017a 数学仿真编 程软件与算法模型相结合,对算例进行求解,验证了遗传算法模型在选址问题研究中的有效性和实用性。

    Abstract:

    With the location of express logistics distribution center as the research object, combined with its location characteristics, a construction can be achieved of the objective function containing fixed investment cost, management cost, transportation cost and many other cost elements, thus establishing the location model based on the genetic algorithm, with the improved solution strategy or method to solve the algorithm model, which effectively improves the efficiency and efficiency of the algorithm model. As for the case research part, Matlab 2017A mathematical simulation programming software is combined with the algorithm model to solve the example, which verifies the effectiveness and feasibility of the genetic algorithm model in the study of the location problem.

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刘善球,樊兵鹏.基于遗传算法的快递物流配送中心选址[J].湖南工业大学学报,2021,35(5):70-76.

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  • 收稿日期:2020-12-20
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  • 在线发布日期: 2021-07-21
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