Based on the existing multi-vehicle routing optimization model, a multi-objective distribution model for minimizing comprehensive cost and maximizing distribution efficiency was established on the basis of considering the impact of complex road conditions to the optimal solution. At the same time, the genetic algorithm was used to solve the multi-objective distribution model under the complex road traffic conditions. By comparing and analyzing, the results showed that the optimal distribution path obtained by solving the multi-vehicle distribution optimization model under complex road conditions was better than that obtained by solving the single vehicle distribution optimization model.


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    Title :

    Optimization of Multi-Vehicle Distribution Path under Complex Road Conditions


    Contributors:
    Minjie, Lv (author) / Qinglie, Wu (author)


    Publication date :

    2021-09-01


    Size :

    2496512 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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