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An Improved Moth-Flame Algorithm for Human–Robot Collaborative Parallel Disassembly Line Balancing Problem

Author

Listed:
  • Qi Zhang

    (College of Information Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China)

  • Bin Xu

    (College of Information Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China)

  • Man Yao

    (School of Basic Medicine, He University, Shenyang 110163, China)

  • Jiacun Wang

    (Department of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ 07764, USA)

  • Xiwang Guo

    (College of Information and Control Engineering, Liaoning Petrochemical University, Fushun 113001, China)

  • Shujin Qin

    (College of Economics and Management, Shangqiu Normal University, Shangqiu 476000, China)

  • Liang Qi

    (Department of Computer Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China)

  • Fayang Lu

    (College of Information and Control Engineering, Liaoning Petrochemical University, Fushun 113001, China)

Abstract

In the context of sustainable development strategies, the recycling of discarded products has become increasingly important with the development of electronic technology. Choosing the human–robot collaborative disassembly mode is the key to optimizing the disassembly process and ensuring maximum efficiency and benefits. To solve the problem of human–robot cooperative parallel dismantling line balance, a mixed integer programming model is established and verified by CPLEX. An improved Moth-Flame Optimization (IMFO) algorithm is proposed to speed up convergence and optimize the disassembly process of various products. The effectiveness of IMFO is evaluated through multiple cases and compared with other heuristics. The results of these comparisons can provide insight into whether IMFO is the most appropriate algorithm for the problem presented.

Suggested Citation

  • Qi Zhang & Bin Xu & Man Yao & Jiacun Wang & Xiwang Guo & Shujin Qin & Liang Qi & Fayang Lu, 2024. "An Improved Moth-Flame Algorithm for Human–Robot Collaborative Parallel Disassembly Line Balancing Problem," Mathematics, MDPI, vol. 12(6), pages 1-17, March.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:6:p:816-:d:1354766
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    References listed on IDEAS

    as
    1. Seda Hezer & Yakup Kara, 2015. "A network-based shortest route model for parallel disassembly line balancing problem," International Journal of Production Research, Taylor & Francis Journals, vol. 53(6), pages 1849-1865, March.
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