Research on cold chain logistics distribution path based on improved genetic algorithm

With the increasing demand of consumers for high-quality fresh-keeping products such as food, medicine and fresh food, the importance of cold chain logistics in ensuring the quality and safety of fresh products has become increasingly prominent. Therefore, how to reasonably arrange the distribution path of cold chain logistics and reduce the logistics cost is one of the necessary problems that enterprises need to solve. According to the specific example, this paper constructs the optimization model of distribution path, adopts the improved genetic algorithm, and verifies the effective rationality of the improved genetic algorithm, and finally solves the optimal distribution path scheme.

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Publication Details

Journal
IET conference proceedings.
Published
2025-03-01
DOI
https://doi.org/10.1049/icp.2025.0566
Citations
1
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
1.24
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article

Research on cold chain logistics distribution path based on improved genetic algorithm

Chuan Xia, Longqing Shi
1 citations
IET conference proceedings.
Advanced Manufacturing and Logistics Optimization
1.24
article

Research on cold chain logistics distribution path based on improved genetic algorithm

Chuan Xia, Longqing Shi
article en
1 citations

Abstract

With the increasing demand of consumers for high-quality fresh-keeping products such as food, medicine and fresh food, the importance of cold chain logistics in ensuring the quality and safety of fresh products has become increasingly prominent. Therefore, how to reasonably arrange the distribution path of cold chain logistics and reduce the logistics cost is one of the necessary problems that enterprises need to solve. According to the specific example, this paper constructs the optimization model of distribution path, adopts the improved genetic algorithm, and verifies the effective rationality of the improved genetic algorithm, and finally solves the optimal distribution path scheme.

IET conference proceedings.Vol. 2024(35)
Liaoning Technical University (CN)
Openalex Percentile: Top 21%
Advanced Manufacturing and Logistics Optimization
1.24
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