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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 10
2984-2992

Robust optimization of closed-loop supply chain network based on Prim-DMGA algorithm

Sun Junyan
Chen Zefei
Chen Zhirui
Li Xiaopeng
School of Mechanical & Electrical Engineering, Shaanxi University of Science & Technology, Xi'an 710021, China
DOI: 10.19734/j.issn.1001-3695.2023.02.0087

Abstract

This paper proposed a robust peer-to-peer optimization method in the context of uncertain environments to address the uncertainty in closed-loop supply chain networks while considering demand uncertainty and facility disruption risk. This paper formulated a robust optimization model to minimize the total cost of the closed-loop supply chain network. Additionally, this paper proposed a Prim-DMGA that firstly identified high-quality initial solutions using the Prim algorithm and then optimized the routing and facility selection solutions in a two-layer adaptive GA feedback loop. The experimental results demonstrate that the Prim-DMGA generates better objective function values than the single-layer Prim-MGA and traditional GA with less computational time. Further, the results obtained from the algorithm are superior to those obtained by using the CPLEX software in solving large-scale scenarios. It concludes that the proposed robust optimization model effectively reduces the adverse effects caused by uncertainty and improves the robustness of closed-loop supply chain networks. Moreover, the PrimDMGA generates better solutions with less computational time.

Foundation Support

陕西省科技厅项目(2023YBGY408)
陕西省社会科学基金资助项目(2020R043)
西安市科技局项目(21RKYJ0023)
陕西省重点研发计划项目(2023-YBGY-408)
西安市科技计划项目(23RKYJ0026)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.02.0087
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 10
Section: Algorithm Research & Explore
Pages: 2984-2992
Serial Number: 1001-3695(2023)10-016-2984-09

Publish History

[2023-05-10] Accepted Paper
[2023-10-05] Printed Article

Cite This Article

孙军艳, 陈泽飞, 陈智瑞, 等. 基于Prim-DMGA算法的闭环供应链网络鲁棒优化研究 [J]. 计算机应用研究, 2023, 40 (10): 2984-2992. (Sun Junyan, Chen Zefei, Chen Zhirui, et al. Robust optimization of closed-loop supply chain network based on Prim-DMGA algorithm [J]. Application Research of Computers, 2023, 40 (10): 2984-2992. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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