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A New Route Optimization Approach of Fresh Agricultural Logistics Distribution

Daqing Wu1,2, Jiye Cui1,*, Dan Li3, Romany Fouad Mansour4

1 College of Economics and Management, Shanghai Ocean University, Shanghai, 201306, China
2 Nanchang Institute of Technology, Economic and Technological Development Zone, Nanchang, 330044, China
3 School of Business Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, 201600, China
4 Department of Mathematics, Faculty of Science, New Valley University, El- Karaga, 72511, Egypt

* Corresponding Author: Jiye Cui. Email:

Intelligent Automation & Soft Computing 2022, 34(3), 1553-1569.


Under the fierce market competition and the demand of low-carbon economy, the freshness of fresh products directly determines the degree of customer satisfaction. Cold chain logistics companies must pay attention to the freshness and carbon emissions of fresh products to obtain better service development. In the cold chain logistics path optimization problem, considering the cost, product freshness and carbon emission environmental factors at the same time, based on the cost-benefit idea, a comprehensive cold chain vehicle routing problem optimization model is proposed to minimize the unit cost of product freshness and the carbon trading mechanism for calculating the cost of carbon emissions. The improved adaptive chaotic ant colony algorithm is used to perform calculation experiments on the model, and the feasibility and effectiveness of the model are analyzed through classic examples and actual cases, which proves the feasibility of the model and the effectiveness of the algorithm. This model enriches the logistics and distribution of cold chain optimization studies, and the research results supplement the impact of carbon prices on carbon emissions, emissions and customer satisfaction. Finally, there are some practical enlightenments for the provision of business management and government services.


Cite This Article

D. Wu, J. Cui, D. Li and R. Fouad Mansour, "A new route optimization approach of fresh agricultural logistics distribution," Intelligent Automation & Soft Computing, vol. 34, no.3, pp. 1553–1569, 2022.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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