基于云计算的冷链物流配送车辆路径优化方法研究

Based on cloud computing of cold chain logistics distribution vehicle routing optimization researching the method

针对冷链物流配送车辆路径优化问题,分析云计算模式下处理配送车辆实时路径的优势,建立了冷链物流配送车辆路径优化应用服务架构;并在该架构下获取多源实时交通信息,分析车辆配送时间和综合成本,构建了冷链物流配送车辆路径优化模型,并在云计算环境下利用粗粒度并行遗传算法对模型进行求解,实验结果表明云计算环境下冷藏车辆实时路径优化方法是有效的,该方法对冷链物流配送成本实现精细化控制,提高配送服务效率,具有实际意义。

computing model processing then real time route of logistics distribution vehicle.It establishes the cold chain logistics distribution vehicle routing optimization application service architecture.And in the architecture,the paper obtains the multi-source real-time traffic information,analyses the vehicle delivery time and cost,then it structures the cold chain logistics distribution vehicle routing optimization model.At the same time it uses coarse-grained parallel genetic algorithm in the cloud computing environment to solve the model,the result shows that method for vehicle real time routing optimization in the cloud computing environment is effective,achieves fine control in the cold chain logistics cost,improves the distribution service efficiency and has more practical significance.