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中文摘要：
文中将快递业与车辆调度相结合进行研究，通过云计算平台，建立了快递业车辆调度优化应用服务架构并通过云平台获取多源信息，分析车辆配送成本，搭建了快递业车辆调度优化模型，并利用蚁群算法对模型求解，结果表明该模型及优化方案是有效的，该方案对快递物流配送成本实现精细化控制以及服务效率的提高具有一定的参考和指导意义。
英文摘要：
In this paper, the combination of express industry and vehicle scheduling is studied., through the cloud computing platform, establish the express delivery industry vehicle scheduling optimization application service architecture and through the cloud platform acquisition of multi-source information, analysis of vehicle cost, build the express industry vehicle scheduling optimization model, and use the ant colony algorithm to solve the model. The results show that the model and optimization scheme is effective, the scheme of express logistics distribution cost achieves fine control system as well as improving the service efficiency has certain reference and guiding significance.
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