沈阳工业大学学报（社会科学版）2024，Vol.17Issue(3)：301-310,10.DOI:10.7688/j.issn.1674-0823.2024.03.09
多能源混合车队生鲜品配送车辆路径问题研究
Research on vehicle routing problem of fresh food distribution in multiple energy hybrid fleet
摘要
Abstract
Aiming at the vehicle routing problem of the mixed fleet of electric vehicles and fuel vehicles considering both pick-up and delivery and time of use electricity tariffs,a vehicle routing optimization model for fresh food distribution has been constructed with the objective of minimizing the sum of the fixed vehicle cost,driving cost,refrigeration cost,cargo damage cost,time window cost,carbon emission cost and charging cost,and a hybrid genetic simulated annealing algorithm integrating neighborhood search is designed for solution.The results show that compared with the separation of pickup and delivery,the simultaneous pickup and delivery mode can significantly improve the distribution efficiency and vehicle loading rate;properly increasing the battery capacity of electric vehicles through technical upgrading can weaken the dependence of vehicle routing schemes on charging facilities and effectively reduce distribution costs;by comparing with the running results of the genetic algorithm and hybrid genetic algorism-variable neighborhood search algorithm,the effectiveness of the algorithm is verified.References are provided for cold chain logistics enterprises to achieve energy conservation and emission reduction,cost reduction and efficiency increase in the distribution link.关键词
混合车队/遗传-模拟退火混合算法/冷链物流/电动车配送/取送货/分时电价Key words
hybrid fleet/genetic simulated annealing hybrid algorithm/cold chain logistics/electric vehicle distribution/pick-up and delivery/time of use electricity tariffs分类
管理科学引用本文复制引用
周晓晔,戴思聪..多能源混合车队生鲜品配送车辆路径问题研究[J].沈阳工业大学学报（社会科学版）,2024,17(3):301-310,10.基金项目
辽宁省社会科学规划基金重大项目(L22ZD010). （L22ZD010）
