数学物理学报(英文版) ›› 2025, Vol. 45 ›› Issue (3): 1223-1234.doi: 10.1007/s10473-025-0325-1

• • 上一篇    

MODIFIED INERTIAL SUBGRADIENT EXTRAGRADIENT METHODS FOR SOLVING A SUPPLY CHAIN NETWORK EQUILIBRIUM MODEL

Zhuang SHAN   

  1. School of Mathematics and Statistics, Xidian University, Xi'an 710126, China
  • 收稿日期:2023-08-23 修回日期:2024-07-13 出版日期:2025-05-25 发布日期:2025-09-30

MODIFIED INERTIAL SUBGRADIENT EXTRAGRADIENT METHODS FOR SOLVING A SUPPLY CHAIN NETWORK EQUILIBRIUM MODEL

Zhuang SHAN   

  1. School of Mathematics and Statistics, Xidian University, Xi'an 710126, China
  • Received:2023-08-23 Revised:2024-07-13 Online:2025-05-25 Published:2025-09-30
  • About author:Zhuang SHAN, E-mail: arcsec30@163.com

摘要: Using a modified subgradient extragradient algorithm, this paper proposed a novel approach to solving a supply chain network equilibrium model. The method extends the scope of optimisation and improves the accuracy at each iteration by incorporating adaptive parameter selection and a more general subgradient projection operator. The advantages of the proposed method are highlighted by the proof of strong convergence presented in the paper. Several concrete examples are given to demonstrate the effectiveness of the algorithm, with comparisons illustrating its superior CPU running time compared to alternative techniques. The practical applicability of the algorithm is also demonstrated by applying it to a realistic supply chain network model.

关键词: supply chain network equilibrium model, subgradient extragradient algorithm, Tseng method, variational inequalities, strong convergence

Abstract: Using a modified subgradient extragradient algorithm, this paper proposed a novel approach to solving a supply chain network equilibrium model. The method extends the scope of optimisation and improves the accuracy at each iteration by incorporating adaptive parameter selection and a more general subgradient projection operator. The advantages of the proposed method are highlighted by the proof of strong convergence presented in the paper. Several concrete examples are given to demonstrate the effectiveness of the algorithm, with comparisons illustrating its superior CPU running time compared to alternative techniques. The practical applicability of the algorithm is also demonstrated by applying it to a realistic supply chain network model.

Key words: supply chain network equilibrium model, subgradient extragradient algorithm, Tseng method, variational inequalities, strong convergence

中图分类号: 

  • 47H09