TY - GEN
T1 - Improved Fireworks Algorithm for Multi-Objective Hybrid Disassembly Line Balancing Problem With Consideration of Machine Wear Rate
AU - Feng, Yujie
AU - Guo, Xiwang
AU - Fuentes, Xyanna
AU - Wang, Jiacun
AU - Wang, Weitian
AU - Qin, Shujin
AU - Hu, Bin
AU - Li, Yinqin
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This work aims to address the hybrid disassembly line balancing problem with multiple types of robots and multiple objectives. It investigates how intelligent algorithms can optimize task allocation and disassembly line planning to enhance overall efficiency and balance. Leveraging the advantages of swarm intelligence algorithms in global searching and environmental adaptability, an improved fireworks algorithm is proposed. A multi-objective hybrid disassembly line balancing problem that integrates linear and U-shaped disassembly lines is presented. Its target is to maximize profit and minimize total robot energy consumption while considering machine wear rates. We compare the improved fireworks algorithm with NSGA-II and MOEA/D algorithms through simulation experiments. Results indicate that the improved fireworks algorithm is more effective and outperforms other methods in solving the hybrid disassembly line balancing problem.
AB - This work aims to address the hybrid disassembly line balancing problem with multiple types of robots and multiple objectives. It investigates how intelligent algorithms can optimize task allocation and disassembly line planning to enhance overall efficiency and balance. Leveraging the advantages of swarm intelligence algorithms in global searching and environmental adaptability, an improved fireworks algorithm is proposed. A multi-objective hybrid disassembly line balancing problem that integrates linear and U-shaped disassembly lines is presented. Its target is to maximize profit and minimize total robot energy consumption while considering machine wear rates. We compare the improved fireworks algorithm with NSGA-II and MOEA/D algorithms through simulation experiments. Results indicate that the improved fireworks algorithm is more effective and outperforms other methods in solving the hybrid disassembly line balancing problem.
UR - https://www.scopus.com/pages/publications/105018327825
U2 - 10.1109/CASE58245.2025.11164018
DO - 10.1109/CASE58245.2025.11164018
M3 - Conference contribution
AN - SCOPUS:105018327825
T3 - IEEE International Conference on Automation Science and Engineering
SP - 3474
EP - 3479
BT - 2025 IEEE 21st International Conference on Automation Science and Engineering, CASE 2025
PB - IEEE Computer Society
T2 - 21st IEEE International Conference on Automation Science and Engineering, CASE 2025
Y2 - 17 August 2025 through 21 August 2025
ER -
