Abstract
Logistics nodes are screened to obtain Alternative logistics nodes using principal component analysis. Sales logistics network location model is established to minimize the total cost of sales logistics network. Then Chaotic Genetic Algorithms is used to solve the model and obtain the position, number and size of logistics nodes, transport path and corresponding transportation volume from factory to nodes and nodes to customers. Finally, the validity of the model is verified by a practical example.
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