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Constructing rural e-commerce logistics model based on ant colony algorithm and artificial intelligence method

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Abstract

In order to study the application of ant colony algorithm in rural e-commerce logistics mode, the third-party distribution model was adopted as the logistics method with Xuzhou City’s fruit and vegetable agricultural products as the key research object. Through the model construction, the problem of the third-party distribution model is analyzed. Based on the ant colony algorithm, the shortest path and cost are calculated using MATLAB software. The cost and efficiency problems under different variables are analyzed and the model evaluation is carried out. Finally, the difficulties at the urban and rural end of the third-party distribution model are solved. The results show that the method improves the distribution efficiency and reduces the logistics cost. Therefore, it is conducive to the advancement of rural e-commerce.

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Acknowledgement

This project was supported by the First Level Key Built Discipline Projects of the Business Administration under Jiangsu Provincial “the 13th Five-Year Plan” (project number: SJY201609).

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Correspondence to Zhitan Feng.

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Communicated by Mu-Yen Chen.

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Feng, Z. Constructing rural e-commerce logistics model based on ant colony algorithm and artificial intelligence method. Soft Comput 24, 7937–7946 (2020). https://doi.org/10.1007/s00500-019-04046-8

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