Open Access

ARTICLE

Optimizing Fresh Logistics Distribution Route Based on Improved Ant Colony Algorithm

Daqing Wu^1,2, Ziwei Zhu¹, Dong Hu^3,*, Romany Fouad Mansour⁴

1 College of Economics and Management, Shanghai Ocean University, Shanghai, 201306, China
2 Nanchang Institute of Technology, Nanchang, 330044, China
3 Shanghai Jianqiao College, Shanghai, 201306, China
4 Department of Mathematics, Faculty of Science, New Valley University, El- Karaga, 72511, Egypt

* Corresponding Author: Dong Hu. Email:

Computers, Materials & Continua 2022, 73(1), 2079-2095. https://doi.org/10.32604/cmc.2022.027794

Received 26 January 2022; Accepted 19 April 2022; Issue published 18 May 2022

Abstract

With the rapid development of the fresh cold chain logistics distribution and the prevalence of low carbon concept, this paper proposed an optimization model of low carbon fresh cold chain logistics distribution route considering customer satisfaction, and combined with time, space, weight, distribution rules and other constraints to optimize the distribution model. At the same time, transportation cost, penalty cost, overloading cost, carbon tax cost and customer satisfaction were considered as the components of the objective function, and the thought of cost efficiency was taken into account, so as to establish a distribution model based on the ratio of minimum total cost to maximum satisfaction as the objective function. Then, the improved A* algorithm and ant colony algorithm were used to construct the model solution. Through the simulation analysis results of different calculation examples, the effectiveness, efficiency and correctness of the design of the single target low-carbon fresh agricultural products cold chain model by using the improved ant colony algorithm were verified.

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Keywords

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