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Academic Journal of Computing & Information Science, 2022, 5(13); doi: 10.25236/AJCIS.2022.051315.

Optimization of cold chain logistics distribution path based on genetic algorithm


Jian Wang

Corresponding Author:
Jian Wang

School of Transportation, Chongqing Jiaotong University, Chongqing, 400074, China


In this paper, a cold chain logistics path optimization problem model with time window is proposed, and the problem is solved by genetic algorithm. In order to solve the multi-path distribution problem, we add penalty function and time window to the model to better describe the problem. By solving the genetic algorithm, the optimal transportation path of the cold chain truck can be obtained for the demand points in a certain region, so as to reduce the distribution cost. The experimental results show that the model in this paper can better describe the optimization problem of cold chain logistics path with time window, achieve the goal of reducing distribution cost and distribution mileage, and has practical significance for cold chain logistics and related industries.


Vehicle routing optimization; Genetic algorithm; Cold chain logistics; Time window

Cite This Paper

Jian Wang. Optimization of cold chain logistics distribution path based on genetic algorithm. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 13: 96-102. https://doi.org/10.25236/AJCIS.2022.051315.


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