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Soft Computing

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09.05.2019 | Focus

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

verfasst von: Zhitan Feng

Erschienen in: Soft Computing | Ausgabe 11/2020

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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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Titel: Constructing rural e-commerce logistics model based on ant colony algorithm and artificial intelligence method
verfasst von: Zhitan Feng
Publikationsdatum: 09.05.2019
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 11/2020
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-019-04046-8

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