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Kaipu Wang
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2020 – today
- 2025
- [j17]Xin Chen, Yibing Li, Lei Wang, Kaipu Wang, Jun Guo, Jie Liu:
Multi-objective grey wolf optimizer based on reinforcement learning for distributed hybrid flowshop scheduling towards mass personalized manufacturing. Expert Syst. Appl. 264: 125866 (2025) - 2024
- [j16]Jun Guo, Yang Li, Baigang Du, Xiang Sun, Kaipu Wang:
A multi-population cooperative coevolution artificial bee colony algorithm for partial multi-robotic disassembly line balancing problem considering preventive maintenance scenarios. Adv. Eng. Informatics 62: 102750 (2024) - [j15]Fei Yu, Chao Lu, Jiajun Zhou, Lvjiang Yin, Kaipu Wang:
A knowledge-guided bi-population evolutionary algorithm for energy-efficient scheduling of distributed flexible job shop problem. Eng. Appl. Artif. Intell. 128: 107458 (2024) - [j14]Jun Guo, Yang Li, Baigang Du, Kaipu Wang:
Multi-objective fuzzy partial disassembly line balancing considering preventive maintenance scenarios using enhanced hybrid artificial bee colony algorithm. Expert Syst. Appl. 237(Part C): 121681 (2024) - [j13]Mengzhen Zhuang, Wei Zhang, Hongtao Tang, Xinyu Li, Kaipu Wang:
A multi-objective genetic algorithm based on two-stage reinforcement learning for green flexible shop scheduling problem considering machine speed. Expert Syst. Appl. 258: 125189 (2024) - [j12]Xiang Sun, Shunsheng Guo, Jun Guo, Baigang Du, Zhijie Yang, Kaipu Wang:
A Pareto-based hybrid genetic simulated annealing algorithm for multi-objective hybrid production line balancing problem considering disassembly and assembly. Int. J. Prod. Res. 62(13): 4809-4830 (2024) - [j11]Kaipu Wang, Yibing Li, Jun Guo, Liang Gao, Xinyu Li:
Dynamic Balancing of U-Shaped Robotic Disassembly Lines Using an Effective Deep Reinforcement Learning Approach. IEEE Trans. Ind. Informatics 20(4): 6855-6865 (2024) - 2023
- [j10]Jun Guo, Junfeng Zou, Baigang Du, Kaipu Wang:
Integrated scheduling for remanufacturing system considering component commonality using improved multi-objective genetic algorithm. Comput. Ind. Eng. 182: 109419 (2023) - [j9]Kaipu Wang, Jun Guo, Baigang Du, Yibing Li, Hongtao Tang, Xinyu Li, Liang Gao:
A novel MILP model and an improved genetic algorithm for disassembly line balancing and sequence planning with partial destructive mode. Comput. Ind. Eng. 186: 109704 (2023) - 2022
- [j8]Kaipu Wang, Liang Gao, Xinyu Li, Peigen Li:
Energy-Efficient Robotic Parallel Disassembly Sequence Planning for End-of-Life Products. IEEE Trans Autom. Sci. Eng. 19(2): 1277-1285 (2022) - [j7]Kaipu Wang, Xinyu Li, Liang Gao, Peigen Li, John W. Sutherland:
A Discrete Artificial Bee Colony Algorithm for Multiobjective Disassembly Line Balancing of End-of-Life Products. IEEE Trans. Cybern. 52(8): 7415-7426 (2022) - [j6]Kaipu Wang, Xinyu Li, Liang Gao, Peigen Li:
Modeling and Balancing for Disassembly Lines Considering Workers With Different Efficiencies. IEEE Trans. Cybern. 52(11): 11758-11771 (2022) - 2021
- [j5]Kaipu Wang, Xinyu Li, Liang Gao, Peigen Li, Surendra M. Gupta:
A genetic simulated annealing algorithm for parallel partial disassembly line balancing problem. Appl. Soft Comput. 107: 107404 (2021) - 2020
- [j4]Kaipu Wang, Liang Gao, Xinyu Li:
A multi-objective algorithm for U-shaped disassembly line balancing with partial destructive mode. Neural Comput. Appl. 32(16): 12715-12736 (2020)
2010 – 2019
- 2019
- [j3]Kaipu Wang, Xinyu Li, Liang Gao:
A multi-objective discrete flower pollination algorithm for stochastic two-sided partial disassembly line balancing problem. Comput. Ind. Eng. 130: 634-649 (2019) - [j2]Kaipu Wang, Xinyu Li, Liang Gao, Akhil Garg:
Partial disassembly line balancing for energy consumption and profit under uncertainty. Robotics Comput. Integr. Manuf. 59: 235-251 (2019) - 2017
- [j1]Zeqiang Zhang, Kaipu Wang, Lixia Zhu, Yi Wang:
A Pareto improved artificial fish swarm algorithm for solving a multi-objective fuzzy disassembly line balancing problem. Expert Syst. Appl. 86: 165-176 (2017)
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