Chinese Journal of Intelligent Science and Technology ›› 2022, Vol. 4 ›› Issue (2): 174-183.doi: 10.11959/j.issn.2096-6652.202202

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Application of intelligent optimization algorithms in supply chain network

Xin ZHANG1, Zhihui ZHAN2   

  1. 1 School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, China
    2 School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China
  • Online:2022-06-15 Published:2022-06-01
  • Supported by:
    The National Key Research and Development Program of China(2019YFB2102102);The National Natural Science Foundation of China(61822602);The National Natural Science Foundation of China(61772207)


Supply chain network connects members by the relationship of demand and supply and facilitates the coordination and cooperation among these members, which is particularly important in the global competition environment.The optimization and improvement of supply chain network can reduce the operating cost of enterprises, increase the income of enterprises and the customer satisfaction, and then improve the competitiveness of enterprises.Firstly, the optimization problems of supply chain network were analyzed, and these problems from several different aspects were classified, such as modeling characteristics, decision variable types, and scene features, so as to introduce the optimization problems in the existing research of supply chain network more clearly.Then, three frequently used intelligent optimization algorithms and their applications in supply chain network optimization were introduced and analyzed, such as genetic algorithm, ant colony optimization algorithm and particle swarm optimization algorithm.Finally, the future research of the optimization of supply chain network was prospected.

Key words: supply chain network, optimization problem, intelligent optimization algorithm

CLC Number: 

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