摘要
无人机配送兼具配送时间短、成本低、降低道路拥堵程度等优点,多辆卡车和无人机联合配送以服务社区内的客户群体是解决最后一公里配送难题的突破口。考虑配送过程中碳排放总量的约束,以配送总成本最低为目标函数,构建以弧为基础的混合整数规划模型,并利用自适应大规模邻域搜索算法求解出无人机-卡车联合配送的最优路径,验证了碳排放约束下的无人机-卡车联合配送路径优化模型在降低配送成本、实现降碳目标上的有效性。
Delivery with drones has the advantages of short delivery time, low cost, reduced road congestion and so on. The joint delivery of multiple trucks and drones to serve the customer groups in the community is the breakthrough to solve the problem of the last kilometer delivery. The arc-based mixed integer programming model was built with the aim of the lowest total distribution cost. The total carbon emission in the distribution process was considered as a constraint in the model. And the adaptive large-scale neighborhood search algorithm was used to solve the optimal path of drone-truck joint distribution. The effectiveness of the drone-truck joint distribution path optimization model under the constraint of carbon emissions was verified in reducing distribution costs and achieving carbon reduction goals.
作者
马佰钰
李贺鑫
马千里
刘畅
MA Bai-yu;LI He-xin;MA Qian-li;LIU Chang(School of Traffic and Transportation,Dalian University of Science and Technology,Dalian 116000,China;School of Economics and Management,Beijing Jiaotong University,Beijing 100091,China;School of shipping Economics and Management,Dalian Maritime University,Dalian 116000,China)
出处
《系统工程》
CSCD
北大核心
2024年第2期60-69,共10页
Systems Engineering
基金
辽宁省社会科学规划项目(L21CGL006)
国家自然科学基金青年科学基金项目(72204034)
中央高校基本科研业务费专项资金(3132023284)。
