zhugy@fzu.edu.cn

2010/12-至今，福州大学，机械工程及自动化学院，教授2014/07-2015/07，美国北卡罗来纳州立大学 机械与航空工程系，访问学者2005/08-2010/12， 福州大学，机械工程及自动化学院，副教授1992/07-2005/07，长春工艺设备研究所，高级工程师2000/09－2005/03， 北京理工大学 机械与车辆学院，博士1988/09－1992/07， 长春光学精密机械学院 精密机械设计与制造系，本科

1）智能制 2）车间调度3）工业大数据 4）优化设计

1) 福建省科技厅,省自然科学基金（面上）, 2023J01256, PCB贴装车间内机-线耦合车间调度多目标优化与目标耦合规律分析, 2023-08至2026-08,在研,主持2) 福建省科技厅, 重大专项专题项目, 科技厅“科技专项”2060901, 高性能锥齿轮传动关键技术与示范应用, 2021-11 至 2025-11, 在研, 参与3) 福建省发改委，数字福建工业大数据研究所建设，2017-10至2020-10，已结题，主持。4) 工信部2016智能制造综合标准化与新模式应用项目，威诺高档数控机床智能制造工厂关键技术开发及集成应用，2016-12至2019-12，已结题， (子项目)主持。

[1] Desong Zhang, Jianqing Zou, Guangyu Zhu*, Multitool Drilling Path Optimization by Multiagent Reinforcement Learning Approach, IEEE Transactions on Industrial Informatics, 2025, DOI 10.1109/TII.2025.3563525 (SCI, 中科院1区, top期刊, IF: 11.7)[2] YongWei Wu, XiuFang Lin, GuangYu Zhu*. Solving many-objective reentrant hybrid flowshop scheduling problem considering uncertainty factors in Thin-film Transistor Liquid Crystal Display, Computers & Industrial Engineering, 2025, 204, 111117 (SCI, 中科院2区, top期刊, IF: 6.7)[3] Xiehui Zhang, Guang-Yu Zhu*. A literature review of reinforcement learning methods applied to job-shop scheduling problems, Computers & Operations Research, 2025, 175, 106929 (SCI,中科院2区, IF:4.1)[4] Zhang Desong, Chen Yan-Jie, Zhu Guang-Yu*. Multi-objective hole-making sequence optimization by genetic algorithm based on Q-Learning,IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 8(6): 3793-3806 (SCI,中科院3区, IF:5.3)[5] Ding Chen, Zhu Guang-Yu*. Improved optimal foraging algorithm for global optimization.Computing, 2024, 106, 2293-2319 (SCI,中科院3区, IF:3.3)[6] Chen Yanjie, Jiang Wensheng, Zhang Zhixing, Zhang Liping, Zhu Guang-Yu, Zhang Hui. Sampling-focused marching tree: optimal planning based on minimized topological refinement and Homotopy-heuristic exploration,IEEE/ASME Transactions on Mechatronics, 2024, doi: 10.1109/TMECH.2024.3462506. (SCI,中科院1区, top期刊, IF:6.1)[7] Ding Chen, Qiao Fei, Zhu Guang-Yu*. Solving a many-objective PFSP with reinforcement cumulative prospect theory in low-volume PCB manufacturing.Neural Computing & Applications, 2023, 35, 20403-20422. (SCI,中科院3区, IF:6.0)[8] Hao-Jie Wang, Guang-Yu Zhu*, Multiobjective Optimization for FJSP under Immediate Predecessor Constraints Based OFA and Pythagorean Fuzzy Set,IEEE Transactions on Fuzzy Systems,2023, 31(9), 3108-3120. (SCI,中科院1区,top期刊, IF:12.253)[9] Desong Zhang, Guangyu Zhu*, Particle swarm optimization based on temporal-difference learning for solving multi-objective optimization problems.Computing,2023, 105, 1795-1820.(SCI,中科院3区, IF:2.42)[10] Zhong-Quan Jian, Guang-Yu Zhu, Optimal foraging algorithm with direction prediction and Gaussian oscillation for constrained optimization problems.Expert Systems with Applications, 2022, 205:117735 (SCI,中科院1区,top期刊, IF:8.665)[11] Wei Bo Zhang and Guang-Yu Zhu*, A multi-objective optimization of PCB prototyping assembly with OFA based on similarity of intuitionistic fuzzy sets,IEEE Transactions on Fuzzy Systems, 2021,29(7):2054-2061. (SCI,中科院1区,top期刊, IF:12.029)[12] Zhong-Quan Jian, Guang-Yu Zhu*, Affine invariance of meta-heuristic algorithms,Information Sciences, 2021, 576: 37-53 (SCI,中科院1区, top期刊, IF:6.795)[13] Zhong-Quan Jia, Guang-Yu Zhu*, Optimal Foraging Algorithm with Direction Prediction.Applied Soft Computing, 2021, 111: 107660. (SCI,中科院1区, top期刊, IF:6.725)[14] Xu, Wen-Jie; He, Li-Jun; Zhu,Guang-Yu*. Many-objective flow shop scheduling optimisation with genetic algorithm based on fuzzy sets,International Journal of Production Research, 2021,59(3):702-726. (SCI,中科院2区, IF:8.568)[15]Guang-Yu Zhu, Cen Ding and Wei Bo Zhang, Optimal foraging algorithm that incorporates fuzzy relative entropy for solving many-objective permutation flow shop scheduling problems, 2020,IEEE Transactions on Fuzzy Systems, 2020, 28(11): 2738 – 2746. (SCI,中科院1区,top期刊, IF:9.518)[16]Zhu Guang Yu, Ju Xue Wei, Zhang Wei Bo*. Multi-objective sequence optimization of PCB component assembly with GA based on the discrete Frechet distance,International Journal of Production Research, 2018, 56(11):4017-4034. (SCI,中科院1区, top期刊, IF:4.213)[17] Zhang Wei Bo, Zhu Guang Yu*. Drilling Path Optimization by Optimal Foraging Algorithm ,IEEE Transactions on Industrial Informatics, 2018, 14(7): 2847-2856. (SCI,中科院1区,top期刊, IF:9.112)[18]Guang-Yu Zhu, Li-Jun He, Xue-Wei Ju, Wei-Bo Zhang*, A fitness assignment strategy based on the grey and entropy parallel analysis and its application to MOEA,European Journal of Operational Research, 2018, 265(3):813-828 (SCI,中科院一区, top期刊, IF:4.213)[19]Zhu, Guang-Yu*, Zhang, Wei-Bo. Optimal foraging algorithm for global optimization,Applied Soft Computing, 2017, 51: 294-313. (SCI,中科院一区,top期刊, IF:5.427)[20]朱光宇,贾唯鸿,李德彪.AGV与机器联合的低碳混合流水车间调度研究.北京航空航天大学学报, 2025, 51(2), 368-379. (Ei)[21]朱光宇,张德颂.基于强化学习的遗传算法求解一种新的钻削路径优化问题.控制与决策,2024, 39 (02): 697-704 (Ei)[22]朱光宇,蒋起爽,林晓斌.基于最优觅食算法的增材制造中多种类零件分批排样研究.计算机集成制造系统, 2024, 30(07):2340-2349. (Ei)[23]朱光宇,贾海斌.面向半导体车间多目标可重入调度研究.华中科技大学学报(自然科学版),2023,51(02):122-130. (Ei)[24]朱光宇,王浩杰.考虑运输时间的紧前约束下柔性作业车间调度.华中科技大学学报(自然科学版),2022,50(06):139-148. (Ei)[25]朱光宇,张峥.基于正向投影灰靶模型的多目标流水车间调度优化.计算机集成制造系统,2022,28(04):1087-1098. (Ei)[26]朱光宇,丁晨.基于累积前景理论的最优觅食算法求解多目标流水车间调度问题.计算机集成制造系统,2022,28(03):690-699. (封面文章) (Ei)[27]江泽豪,伊德景,朱光宇*.考虑剔除虚假云服务的制造云服务优选.计算机集成制造系统, 2020, 26(08):2020-2029. (Ei)[28朱光宇,徐文婕.考虑能耗与质量的机床构件生产线多目标柔性作业车间调度方法.控制与决策,2019,34(02):252-260.中国知网“领跑者5000(F5000)”论文)(Ei)专利1) 202210727934X发明专利一种基于烟花算法的异形海绵切割路径优化方法2) 2021113679792发明专利一种多目标混合零空闲置换流水车间调度方法及系统3) 2019105344319发明专利变截面导流装置及使用方法4) 2021110410159发明专利基于改进混合BL策略的二维不规则排样方法5) 2021110410360发明专利一种混合流水车间调度优化方法6) 2020111314883发明专利一种柔性作业车间调度优化方法7) 2018107153063发明专利虚假制造云服务识别方法8) 2019100105985发明专利基于改进多目标灰狼算法获得零件加工最优调度方案的方法

1、1997年部级科技进步三等奖2、1998年部级科技进步一等奖3、1999年国家科技进步二等奖4、2004年兵器工业集团公司科技进步三等奖5、2005年兵器工业集团公司科技进步二等奖6、2005年兵器工业集团公司科技进步三等奖7、2007年国防科学技术进步三等奖8、2019年 江苏省如皋市“雉水英才”引进计划9、2020年 第三届福州大学“福能奖教金”10、2021年 福建省泉州市第三层次高层次人才11、2022年福建省科学技术奖三等奖12、2022年福建省高层次人才(C类)13、2024年 中国知网高被引学者TOP1%

1）车间调度 2）工业大数据 3）智能制造 4）优化设计