时变路网下生鲜冷链物流多式联运路径优化方法研究OACHSSCD

Fresh products such as fruits,vegetables,aquatic products,and meat have the characteristics of easy spoilage and high environmental temperature control requirements for transportation.Therefore,it is usually necessary to use two or more multimodal transportation methods comprehensively to achieve efficient docking from the place of origin to low consumption.To reduce the total transportation cost of fresh products in cold chain logistics,this article describes the path optimization problem in the form of a directed graph.Based on conditional assumptions,the total time for multimodal transportation of highways,railways,and aviation under time-varying road networks is calculated;Using the total multimodal transportation time as the key calculation parameter,analyze the comprehensive cost of cold chain logistics multimodal transportation,and construct a mathematical model for path optimization with the goal of minimizing the comprehensive cost while considering customer time satisfaction;Combining genetic algorithm and Metropolis criterion for efficient optimization and solution,achieving multimodal transportation path optimization.The experimental results show that using the design method to solve the optimal path quickly reaches convergence after the 90th iteration,with a corresponding minimum comprehensive cost.This indicates that the design method has practical effectiveness in dealing with cold chain transportation problems in time-varying road networks,and can efficiently and quickly obtain the optimal solution that meets the target conditions.