摘要
随着国家的富强,社会经济实力的持续增长,我国人民群众的日常生活水平也越来越高,所以人们的网购热情也随之提高。由此以来,随着人们网购的种类和数量不断增多,网购时的取货和送货问题也浮出水面,成为了一种被广大学者重点研究的问题。本文针对同时取送货车路径的问题,基于用户画像相关方法建立了双目标模型,随后设计了蚁群算法对静态和动态问题进行相关解析,实验结果可得,该方法在具体问题中的求解速度以及对外界环境不良因素的抗干扰能力较强,为以后的相关研究奠定了理论基础。
With the country’s prosperity and the continuous growth of social and economic strength,the daily life of the people of our country is getting higher and higher,so people’s enthusiasm for online shopping has also increased.Since then,with the continuous increase in the types and quantity of people's online shopping,the problem of picking up and delivering goods during online shopping has also surfaced,which has become a problem that has been studied by many scholars.Aiming at the problem of taking delivery truck routes at the same time,this paper establishes a dual-objective model based on user portrait related methods,and then designs an ant colony algorithm to analyze static and dynamic problems.The experimental results are available.The method is solved in specific problems.The speed and the strong anti-interference ability to the adverse factors of the external environment have laid a theoretical foundation for the related research in the future.
作者
刘玲
栗雅清
王蕴默
Liu Ling;Li Yaqing;Wang Yunmo
出处
《时代汽车》
2021年第21期20-21,共2页
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关键词
同时取送货
车辆路径
双目标
蚁群算法
simultaneous delivery
vehicle routing
dual goals
ant colony algorithm
