Study on Logistics Distribution Route Optimization Based on Clustering Algorithm and Ant Colony Algorithm

نویسنده

  • Zhang Bin
چکیده

Logistics distribution has become the key research to improve efficiency and reduce the cost of logistics. Based on the survey of current situation and optimization algorithms, a novel optimization scheme is presented in this paper. For a lot of distribution sites in a city, firstly K-means clustering algorithm is adopted to get local distribution centers and their scope, and then ant colony algorithm is used to design the local optimal route inside each scope. The simulation results show that the presented scheme can improve the optimal distribution route compared to pure ant colony algorithm.

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تاریخ انتشار 2015