Research on Optimization of cold chain logistics distribution path of fresh products based on Hybrid Genetic Algorithm

被引：2
|
作者：
Fu, Mian [1 ]
Wang, Dandan [1 ]
机构：
[1] Xinhua Univ Anhui Prov, Business Sch, Hefei, Peoples R China
来源：
2020 6TH INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT AND MATERIALS SCIENCE | 2020年 / 585卷
关键词：
D O I：
10.1088/1755-1315/585/1/012131
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In view of the actual situation of cold chain logistics distribution path of fresh products, taking the minimum total cost of fixed cost, variable cost, refrigeration cost, damage cost and penalty cost as the optimization objective, this paper constructs the optimization model of cold chain logistics distribution path of fresh products, and makes an empirical study on the distribution path of an enterprise by using hybrid genetic algorithm, and solves it by coding on MATLAB. It is found that the optimized scheme improves the vehicle loading rate and reduces the distribution cost, which proves the feasibility and effectiveness of the model and algorithm.
引用
收藏
页数：5
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