On-line Ship Route Planning of Cold-chain Logistics Distribution Based on Cloud Computing

冷链 云计算 计算机科学 最短路径问题 架空(工程) 分布(数学) 分布式计算 运筹学 工程类 操作系统 数学 机械工程 理论计算机科学 数学分析 图形
作者
Xiaosheng Yu
出处
期刊:Journal of Coastal Research [BioOne (Coastal Education and Research Foundation)]
卷期号:93 (sp1): 1132-1132 被引量:15
标识
DOI:10.2112/si93-164.1
摘要

Yu, X., 2019. On-line ship route planning of cold-chain logistics distribution based on cloud computing. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 1132–1137. Coconut Creek (Florida), ISSN 0749-0208.In order to improve the efficiency of cold chain logistics distribution in cloud computing environment, it is necessary to optimize the location of ship route in cold chain logistics distribution. An online planning algorithm of cold chain logistics distribution ship route in cloud computing environment is proposed based on the shortest path optimization control. In the cloud computing environment, the shortest path search model is used to optimize the ship route of cold chain logistics distribution and the location design of cold chain logistics distribution path node. Based on the load balancing model of distribution network, the ship route location and distribution route planning of cold chain logistics under cloud computing environment are carried out. The optimal distribution route control protocol is used to control the cold-chain logistics shipping route in cloud computing environment, and the minimum distribution route is used as the constraint cost. Realize the on-line planning algorithm optimization design of cold chain logistics distribution ship route under cloud computing environment. The simulation results show that under the cloud computing environment, the on-line planning route overhead of cold chain logistics distribution ship route is lower, the balance of distribution network is better, and the output of cold chain logistics distribution is high. Improve the efficiency of cold chain logistics distribution under cloud computing environment.

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