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Design of Dynamic Programming Model for Multi-Objective Cold Chain Logistics Deployment Path Based on Meme Algorithm
Iranian Journal of Science and Technology, Transactions of Civil Engineering ( IF 1.7 ) Pub Date : 2021-04-29 , DOI: 10.1007/s40996-021-00639-2
Yinghuan Liu

The traditional multi-objective cold chain logistics deployment path planning model does not build the logistics transportation supply system dynamics model, which leads to the problems of long planning time and high overlapping rate. Therefore, this paper designs a multi-objective dynamic programming model of cold chain logistics deployment path based on meme algorithm. This paper deals with the constraint conditions, constructs the penalty function method of cold chain logistics transportation, and realizes the multi-objective cold chain logistics distribution objective sequencing on the basis of constructing the dynamic model of logistics transportation supply system. According to the combination segmentation operator method, the optimal solution of logistics deployment path was obtained, and the multi-objective dynamic programming model of cold chain logistics deployment path was designed to realize the dynamic programming of logistics deployment path. The experimental results showed that this method can effectively reduce the path planning time, reduce the proportion of path overlap, and effectively improve the effect of logistics deployment path planning.



中文翻译:

基于Meme算法的多目标冷链物流部署路径动态规划模型设计

传统的多目标冷链物流部署路径规划模型不能建立物流运输供应系统动力学模型,存在规划时间长,重叠率高的问题。因此,本文基于meme算法设计了冷链物流部署路径的多目标动态规划模型。本文针对约束条件,构建了冷链物流运输的惩罚函数方法,在构建物流运输供应系统动力学模型的基础上,实现了多目标的冷链物流配送目标排序。根据组合分割算子方法,获得了物流部署路径的最优解,设计了冷链物流配送路径的多目标动态规划模型,以实现物流配送路径的动态规划。实验结果表明,该方法可以有效地减少路径规划时间,减少路径重叠的比例,有效提高物流部署路径规划的效果。

更新日期:2021-04-29
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