双目标的冷链物流车辆规划路径的研究  

Research on the Planning Path of Cold Chain Logistics Vehicles with Dual Objectives

作　　者：陈暄[1] 蔡文雅[1] CHEN Xuan;CAI Wenya(Zhejiang Industry Polytechnic College,Shaoxing 312000,China)

机构地区：[1]浙江工业职业技术学院,浙江绍兴312000

出　　处：《现代信息科技》2022年第23期125-128,共4页Modern Information Technology

基　　金：中国物流学会研究课题(2022CSLKT3-320)。

摘　　要：针对冷链物流车辆在路径规划中存在成本高、时间长等问题,提出了基于降低运输成本和提高客户满意度为双目标的车辆路径规划模型,并使用了鲸鱼优化算法进行模型求解,在鲸鱼算法的种群初始化中采用混沌映射保持了种群多样性,在参数中使用自适应避免了算法陷入局部收敛,在个体筛选中使用蝗虫优化算法提高了个体解的质量。仿真实验说明文章算法在车辆路径规划方面具有较好的规划效果。For the problems of high cost and long time in path planning of cold chain logistics vehicles,a planning model of vehicle path based on the dual objectives of reducing transportation cost and improving customer satisfaction is proposed,and a whale optimization algorithm is used to solve the model.Chaotic mapping is used in the population initialization of the whale algorithm to maintain the population diversity,adaptive is used in the parameters to avoid the algorithm falling into local convergence,and locust optimization algorithm is used in individual screening to improve the quality of individual solution.Simulation results show that the algorithm in this paper has a good planning effect in vehicle path planning.

关 键 词：冷链物流 车辆路径 鲸鱼优化算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]