Improved Dingo Optimization Algorithm for Human-robot Collaborative U-shaped Disassembly Line Balancing Problem
Document Type
Conference Proceeding
Publication Date
1-1-2024
Abstract
There is increasing attention on remanufacturing, with the primary focus in the industry on recovering reusable products to generate profit. In the process of optimizing remanufacturing, addressing the balance issue in the operation of the disassembly line is crucial. Therefore, this study proposes the use of an improved Dingo Optimization Algorithm (IDOA) and designs a mathematical model for human-robot collaboration to explore how to achieve higher profits under these conditions. Finally, the improved IDOA is experimentally compared with the commercial optimization solver CPLEX and another intelligent optimization method - the Battle Royale Optimization (BRO). The results demonstrate that this method offers high quality and efficiency.
Identifier
85216551867 (Scopus)
ISBN
[9798350376739]
Publication Title
2024 International Conference on Cyber-Physical Social Intelligence, ICCSI 2024
External Full Text Location
https://doi.org/10.1109/ICCSI62669.2024.10799439
Recommended Citation
Li, Jialong; Guo, Xi Wang; Wang, Jiacun; Qin, Shu Jin; Qi, Liang; and Kang, Qi, "Improved Dingo Optimization Algorithm for Human-robot Collaborative U-shaped Disassembly Line Balancing Problem" (2024). Faculty Publications. 734.
https://digitalcommons.njit.edu/fac_pubs/734
