Optimization method for location selection of express terminal delivery points based on data mining
Based on the optimization problem of terminal distribution points and distribution paths,a two-level programming model for three-level site selection and path optimization of joint distribution sites in e-commerce enterprises is proposed.The model is solved through clustering based on data mining and improved genetic hybrid heuristic algorithms to improve accuracy.The results show that the research algorithm has excellent optimization performance,with a calculation error value of 0.087 and an average running time of 30.911 seconds.Meanwhile,through MATLAB simulation experiments,the optimal path planning based on end delivery was successfully generated,verifying the feasibility of the model.The research has effectively solved the location path planning problem of the express delivery terminal distribution network,resulting in higher efficiency and lower costs in logistics delivery services.
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