集美大学学报（自然科学版）2026，Vol.31Issue(1)：77-93,17.DOI:10.19715/j.jmuzr.2026.01.08
多温共配模式下三维装箱与车辆路径协同优化
Three-Dimensional Loading and Vehicle Routing Collaborative Optimization Under Multi-Temperature Co-Distribution Mode
摘要
Abstract
The multi-temperature distribution path problem in three-dimensional loading and path coordi-nation optimization is addressed,considering constraints such as time-varying road networks,time windows,and carbon emissions.A coordinated optimization model for three-dimensional loading and delivery paths is estab-lished,aiming to minimize the overall cost.As a solution to the model,the initial population is constructed based on the goods at the customer points being placed into the corresponding multi-temperature boxes.The feasibility of customer deliveries is determined based on a fitness function composed of three-dimensional load-ing and overall cost.A genetic algorithm is employed to update the whale positions through crossover opera-tions.Three local search operators,ie,swap operator,insert operator,and disturbance operator,are introduce to enlarge the search space.A taboo list is introduced to reduce repeated searches.The feasibility of the model and algorithm is validated through Solomon benchmark instances,showing a 5%reduction in the optimized to-tal delivery cost.The constructed model and algorithm can optimize vehicle loading rates and overall delivery costs.The advantage of the multi-temperature distribution mode is further confirmed,providing theoretical sup-port for coordinated optimization of three-dimensional loading and delivery paths.关键词
多温共配/车辆路径/鲸鱼优化算法/三维装载/禁忌列表Key words
multi-temperature co-distribution/vehicle routing/whale optimization algorithm/three-dimen-sional loading/taboo list分类
交通工程引用本文复制引用
刘旺盛,魏琦,曾艳..多温共配模式下三维装箱与车辆路径协同优化[J].集美大学学报（自然科学版）,2026,31(1):77-93,17.基金项目
福建省自然科学基金项目(2022J01322) （2022J01322）
