Logistics Park Distribution System Paths Optimization Problems Based on Cloud Computing

In order to study the distribution system of the logistics parks with the support of cloud computing, the paper analyzes the distribution of goods under the conditions of the massive resources and real-time information assisting problem. When the distributed system selecting the paths in massive resource planning for each scheduling, it increases the number of paths selection and reduces transportation costs.. This paper uses the mathematical programming and optimization theory to establish an optimal mathematical model of costs and time for the target path, and introduce the optimal solution of the genetic algorithm. This paper demonstrates through an example application that this model is efficient and embodies the advantages of cloud computing in logistics applications.