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[1]Haihua Zhu, James Gao, Dongbo Li, Dunbing Tang. A Web-based product service system for aerospace maintenance, repair and overhaul services. Computers in Industry, 63(5), pp. 338-348, 2012. (SCI)
[2]Haihua Zhu, James Gao, Qixiang Cai, A Product-service system using requirement analysis and knowledge management, Kybernetes, 44(5), pp. 823-842, 2015. (SCI)
[3]Haihua Zhu, Jun Yang, Weihua Lu, Jing Li, Research on preference polyhedron model based evolutionary multi-objective optimization method for multi-link transmission mechanism conceptual design, Mathematical Problems in Engineering, pp. 1-13, 2016. (SCI)
[4] Haihua Zhu, Jing Li, James Gao, Weihua Lu, Research on integrated product service system driven by customer value based on ontology technology, Kybernetes, 46(6), pp. 1039-1051, 2017. (SCI)
[5]Haihua Zhu, Yingcong Wang, Ming Chen, Research on mechanism of real-time MAS based dynamic intelligent manufacturing systems, Mechanika, 24(1), pp. 121-127, 2018. (SCI)
[6]Haihua Zhu, Jing Li, Research on three-dimensional digital process planning based on MBD, Kybernetes, 47(4), pp. 816-830, 2018. (SCI)
[7]Haihua Zhu, Ming Chen, Zequn Zhang, Dunbing Tang, An adaptive real-time scheduling method for flexible job shop scheduling problem with combined processing constraint, IEEE Access, 7, pp. 125113-125121, 2019. (SCI)
[8]Qixiang Cai, Dunbing Tang, Haihua Zhu*, Tengxiao Huang, System state assessment of a grey immune mechanism-based organic manufacturing system, Journal of Grey System, 28(1), pp. 173-179, 2016. (SCI)
[9]Jun Yang, Haihua Zhu*, Yingcong Wang, An Orthogonal multi-swarm cooperative PSO algorithm with a particle trajectory knowledge base, Symmetry, 9(1), pp. 15-33, 2017. (SCI)
[10] Qixiang Cai, Dunbing Tang, Haihua Zhu*, Jianhua Zhou. Research on key technologies for immune monitoring of intelligent manufacturing system, International Journal of Advanced Manufacturing Technology, 94(5-8), pp. 1607-1621, 2018. (SCI)
[11] Yi Zhang, Haihua Zhu*, Dunbing Tang, An improved hybrid particle swarm optimization for multi-objective flexible job-shop scheduling problem, Kybernetes, 2020,49(12): 2873-2892. (SCI)
[12] Shipei Li, Dunbing Tang, Jun Yang, Qi Wang, Inayat Ullah, Haihua Zhu, A novel approach for capturing and evaluating dynamic consumer requirements in open design, Advanced Engineering Informatics, 39, pp. 95-111, 2018. (SCI)
[13] Weihua Lu, Jean-Francois Petiot, Kun-pyo Lee, Haihua Zhu, Validating an emerging tool based on auditory scale for decoding users' emotional desires, Journal of Mechanical Science and Technology, 32(9), pp. 4245-4254. (SCI)
[14] Qi Wang, Dunbing Tang, Shipei Li, Jun Yang, Miguel A. Salido, Adriana Giret, Haihua Zhu, An Optimization Approach for the Coordinated Low-Carbon Design of Product Family and Remanufactured Products, Sustainability, 11(2), 2019. (SCI)
[15] Zequn Zhang, Dunbing Tang, Haihua Zhu, et al. A practical approach for multiagent manufacturing system based on agent computing nodes[J], Proceedings of the institution of mechanical engineers part c-journal of mechanical engineering science,2020. (SCI)
[16] Jun Yang, Dunbing Tang, Shipei Li, Haihua Zhu. An improved iterative stochastic multi-objective acceptability analysis method for robust alternative selection in new product development[J]. Advanced engineering informatics, 43(Jan.):101038.1-101038.14, 2020. (SCI)
[17] Tong Zhou, Dunbing Tang, Haihua Zhu, Liping Wang. Reinforcement Learning With Composite Rewards for Production Scheduling in a Smart Factory[J], IEEE ACCESS,2021, 9:752-766. (SCI)
[18] Changchun Liu, Dunbing Tang, Haihua Zhu, Qingwei Nie. A Novel Predictive Maintenance Method Based on Deep Adversarial Learning in the Intelligent Manufacturing System[J], IEEE ACCESS,2021, 9: 49557-49575. (SCI)
[19] Tong Zhou, Dunbing Tang, Haihua Zhu, Zequn Zhang. Multi-agent reinforcement learning for online scheduling in smart factories[J], Robotics and Computer-Integrated Manufacturing, 2021, 72: 102202. (SCI)
[20] Yi Zhang, Dunbing Tang, Haihua Zhu, Shipei Li, Qinwei Nie. A flexible configuration method of distributed manufacturing resources in the context of social manufacturing[J], Computers in Industry, 2021, 132:103511. (SCI)
[21] Haihua Zhu, Jing Li, Yingcong Wang, Knowledge representation and sematic inference of process based on ontology and semantic web rule language, Transactions of Nanjing University of Aeronautics and Astronautics, 34(1), pp. 72-80, 2017. (EI)
[22] 朱海华, 朱柏青, 李东波, 基于本体的产品服务知识表示方法的研究, 中国机械工程, 24(18), pp. 2484-2489, 2013. (EI)
[23] 陈鸣, 朱海华*, 张泽群, 金永乔, 王盈聪, 唐敦兵. 基于信息素的多Agent车间调度策略. 中国机械工程, 29(22):17-23,2018. (EI)
[24] 谈莉斌,唐敦兵,朱海华.用户参与产品设计过程动态特性研究[J].农业机械学报,2020,51(05):404-410. (EI)
[25] Haihua Zhu, Yi Zhang, Hongwei Sun, Liangchuang Liao, Dunbing Tang. An Improved Genetic Algorithm for Solving the Mixed-Flow Job-Shop Scheduling Problem with Combined Processing Constraints[J]. Transactions of Nanjing University of Aeronautics & Astronautics,2021,38(3):415-426. (EI)