基于遗传算法的无人配送车路径研究  

Research on the Path of Unmanned Delivery Vehicles Based on Genetic Algorithm

作　　者：李鑫垚 安海岗 LI Xinyao;AN Haigang(Hebei GEO University,Shijiazhuang 050031,China;Strategy and Management Base of Minoral Resources in Hebei Province,Shijiazhuang 050031,China)

机构地区：[1]河北地质大学,河北石家庄050031 [2]河北省矿产资源战略与管理研究基地,河北石家庄050031

出　　处：《物流科技》2024年第23期4-7,共4页Logistics Sci Tech

基　　金：国家社科基金一般项目“基于金融关联图谱的小微企业供应链融资信用风险预测与防范研究”(21BTJ049);河北省矿产资源战略与管理研究基地科研项目(KCGL202402)。

摘　　要：电子商务的发展势头愈发迅猛,为解决“最后一公里”问题,京东、菜鸟裹裹、毫末智行相继研发并推出了“小蛮驴”、“大白”、“小魔驼”等智能无人快递配送车,希望以人机协同的新形式更有效地提高物流配送效率,并在校园配送、商超模式、即时配送和无接触场景配送中得到了广泛应用。文章在对各类智能启发式算法的特性进行了调查研究的前提下,在遗传算法算法的基础上进行改进,为无人快递配送车的路径规划、任务分配问题给出了一套较为合理的解决方案。The development momentum of e-commerce is becoming increasingly rapid.In order to solve the"last mile"problem,JD,Cainiao Baobao,and Mimo Zhixing have successively developed and launched intelligent unmanned express delivery vehicles such as"Little Man Donkey","Big White",and"Little Magic Camel".They hope to improve logistics and distribution efficiency more effectively through new forms of human-machine collaboration,and have been widely used in campus distribution,supermarket mode,instant delivery,and contactless scene delivery.Based on the investigation and research of the characteristics of various intelligent heuristic algorithms,this article improves the genetic algorithm and provides a relatively reasonable solution for the path planning and task allocation problems of unmanned express delivery vehicles.

关 键 词：电子商务 快递配送 智能启发式算法 遗传算法 路径规划 

分 类 号：F250[经济管理—国民经济]