Research on Optimization of Cold Chain Logistics Network of Fresh Agricultural Products Based on Genetic Algorithm

Xudong Xing, Huihui Li, Hui Yao, Na Liu, Chen Du

2025

Abstract

The problem of logistics network optimization plays an important role in the cold chain logistics network of fresh agricultural products, but there is the problem of inaccurate optimization positioning. The traditional particle swarm algorithm cannot solve the network optimization problem in the cold chain logistics network of fresh agricultural products, and the effect is not satisfactory. In today's globalized trade, the circulation of fresh agricultural products is no longer limited to the local market. As consumer demand for fresh, healthy food increases, it becomes even more important to ensure the freshness and safety of these products during transportation. As an important means to ensure food quality, the optimization of cold chain logistics is of great significance to reduce energy consumption, reduce costs and improve customer satisfaction. The purpose of this paper is to explore how to use advanced genetic algorithm (GA) to optimize the cold chain logistics network of fresh agricultural products, in order to achieve a win-win situation of logistics efficiency and economic benefits.

Paper Citation

in Harvard Style

Xing X., Li H., Yao H., Liu N. and Du C. (2025). Research on Optimization of Cold Chain Logistics Network of Fresh Agricultural Products Based on Genetic Algorithm. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 171-176. DOI: 10.5220/0013537600004664

in Bibtex Style

@conference{incoft25,
author={Xudong Xing and Huihui Li and Hui Yao and Na Liu and Chen Du},
title={Research on Optimization of Cold Chain Logistics Network of Fresh Agricultural Products Based on Genetic Algorithm},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={171-176},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013537600004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Research on Optimization of Cold Chain Logistics Network of Fresh Agricultural Products Based on Genetic Algorithm
SN - 978-989-758-763-4
AU - Xing X.
AU - Li H.
AU - Yao H.
AU - Liu N.
AU - Du C.
PY - 2025
SP - 171
EP - 176
DO - 10.5220/0013537600004664
PB - SciTePress