A genetic algorithm model for route optimisation of cold chain product transportation using vehicles

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外文摘要：Traditional cold chain logistics vehicles are suitable tor short distance transportation, while long distance cold chain transportation faces more challenges; as the transportation distance increases, the time and temperature control in the cold chain link becomes more difficult. Because the driving route of the vehicle has been subject to the influence of technology, the driving route of the vehicle cannot be optimised. The traditional vehicle transportation is only for the tracking of the vehicle, the infrared sensor avoids obstacles to find the driving route of the vehicle, and the traditional driving route of the vehicle has limitations. At the same time, the genetic algorithm adds an adjustment strategy based on time window, which can effectively reduce the probability of conflict and deadlock, accelerate the convergence speed of the solution, and solve the scheme with the shortest total assembly time within the specified time. Based on the above design, in this paper, the vehicle path optimisation can shorten the transportation time, reduce the overall transportation cost, and improve the transportation efficiency.

外文关键词：

transportationgenetic algorithmGAroute optimisationpathtransportation cost

作者：

Sheng Zeng、Bing Wang、Gang Hu、Xu-sheng Hu、Xian-jun Dai

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作者单位：

School of Electrical Engineering, Wanjiang University of Technology, Ma'anshan, 243000, China

School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan, Anhui, 243000, China

College of Life Sciences, China Jiliang University, Hangzhou, 310018, China

出版年：

2025

International journal of applied decision sciences

ISSN：1755-8077

年,卷(期)：2025.18(4)