With the acceleration of the global economic integration process and the rapid development of science and technology, the role of logistics activities in global economic activities is becoming more and more important, its status is becoming more and more prominent, and its impact on all aspects of global economic activities is becoming increasingly obvious. Especially with the development of e-commerce websites, logistics has gradually become an important area of competition for current enterprises. The purpose of logistics distribution is to provide customers with the best service at the lowest possible cost, thereby improving the overall economic efficiency of the enterprise and enhancing the overall level of competition of the enterprise. Based on the improved genetic algorithm, this paper studies the prediction problem of the circulation measurement of the logistics vehicle distribution path, and opens up new ideas for the reasonable arrangement of the logistics path and the minimum NP problem.


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    Title :

    Forecast of Cycle Measure of Logistics Vehicle Delivery Route Based on Improved Genetic Algorithm


    Contributors:
    Tang, Hailin (author) / Zhang, Dabin (author)


    Publication date :

    2021-12-02


    Size :

    968914 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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