论文： 1.XiaoyuWen, Xinyu Zhang, Hongwen Xing, et al. An improved genetic algorithm based on reinforcement learning for aircraft assembly scheduling problem[J].Computers & Industrial Engineering,2024,110263（SCI,中科院1区TOP） 2.Xiaoyu Wen , Yunjie Qian *, Xiaonan Lian，et al.Improved genetic algorithm for integrated process planning and scheduling in distributed heterogeneous manufacturing environment[J].Engineering Applications of Artificial Intelligence,2024,133:108569 (SCI，中科院1区TOP) 3.Xiaoyu Wen, Yunjie Qian, Xiaonan Lian,et al. Improved genetic algorithm based on multi-layer encoding approach for integrated process planning and scheduling problem [J]. Robotics and Computer-Integrated Manufacturing, 2023,84:102593. (SCI，中科院1区TOP) 4.Xiaoyu Wen, Xiaonan Lian, Yunjie Qian,et al.Dynamic scheduling method for integrated process planning and scheduling problem with machine fault[J]. Robotics and Computer-Integrated Manufacturing, 2022,77:102334. (SCI，中科院1区TOP) 5.XiaoyuWen, Xinyu Zhang, Hao Li, et al. An An improved NSGA-II algorithm based on reinforcement learning for aircraft moving assembly line integration optimization problem.Swarm and Evolutionary Computation, 2025,94:101911（SCI,中科院2区） 6.Xiaoyu Wen, Kanghong Wang, Hao Li, et al. A two-stage solution method based on NSGA-II for Green Multi-Objective integrated process planning and scheduling in a battery packaging machinery workshop[J]. Swarm and Evolutionary Computation, 2021, 61:100820. (SCI，中科院1区TOP) 7.Xiaoyu Wen, Xinyu Li, Liang Gao*, Hongyan Sang, Honey bees mating optimization algorithm for process planning problem [J]. Journal of Intelligent Manufacturing, 2014,25:459-472. (SCI，中科院1区TOP) 8.Yuyan Zhang, Liang Gao, Xiaoyu Wen*,et al. Intelligent fault diagnosis of machine under noisy environment using ensemble orthogonal contractive auto-encoder[J]. Expert systems with applications, 2022:117408. (SCI，中科院1区TOP) 9.Haoqi Wang,Hao Li*, Xiaoyu Wen, et al. Unified modeling for digital twin of a knowledge-based system design[J].Robotics and Computer-Integrated Manufacturing, 2021(68): 102074. （SCI，中科院1区TOP） 10.Liang Gao, Xinyu Li*, Xiaoyu Wen, et al. A hybrid algorithm based on a new neighborhood structure evaluation method for job shop scheduling problem[J]. Computers & Industrial Engineering,2015,88:417-429. （SCI，中科院1区TOP） 11.Xiaoyu Wen, Haobo Zhang,Hao Li et al. Fusion Q-Learning Algorithm for Open Shop Scheduling Problem with AGVs[J], Mathematics, 2024, 12(3), 452 (SCI) 12.Xiaoyu Wen, Qingbo Song, Yunjie Qian et al. Effective Improved NSGA-II Algorithm for Multi-Objective Integrated Process Planning and Scheduling[J], Mathematics, 2023, 11(16), 3523 (SCI) 13.Xiaoyu Wen, Yunzhan Fu, Wenchao Yang et al. An effective hybrid algorithm for joint scheduling of machines and AGVs in flexible job shop[J], Measurement and control, 2023:1-17 (SCI) 14.Xiaoyu Wen, Xiaonan Lian, Kanghong Wang,et al. Multi-layer collaborative optimization method for solving fuzzy multi-objective integrated process planning and scheduling [J], Measurement and Control, 2020,53(9-10):1616-1624. (SCI) 15.Xiaoyu Wen, Xinyu Li, Liang Gao*, et alModified honey bees mating optimization algorithm for multi-objective uncertain integrated process planning and scheduling problem [J], International Journal of Advanced Robotic Systems, 2020, 17(3):1-17. (SCI) 16.文笑雨，张昊，张玉彦等.数字孪生环境下飞机装配过程中激光跟踪仪位置优化方法研究[J].中国机械工程,2025,07. （EI） 17.文笑雨*,罗国富,李浩,肖艳秋,乔东平.两阶段混合算法求解集成工艺规划与调度问题[J].中国机械工程,2018,29(22):2716-2724+2732. （EI） 18.Hao Li, Xiaoyu Wen*, Haoqi Wang, et al. A methodology for the modular structure planning of product-service systems[J]. Mathematical Biosciences and Engineering,2019,16(3):1489:1525.（SCI） 19.Guofu Luo, Xiaoyu Wen*, Hao Li, et al. A multi-objective genetic algorithm based on immune principle and external archive for multi-objective integrated process planning and scheduling. International Journal of Advanced Manufacturing Technology. 2017, 91(9-12):3145-3158. (SCI) 20.Hao Li, Bing Li , Gen Liu, Xiaoyu Wen* et al. A detection and configuration method for welding completeness in the automotive body‑in‑white panel based on digital twin[J]. Scientific Reports, 2022, 12:7929 (SCI) 21.李浩,刘根,文笑雨*,等.面向人机交互的数字孪生系统工业安全控制体系与关键技术[J].计算机集成制造系统,2021,27(02):374-389.（EI期刊） 22.王昊琪,李浩,文笑雨*,等.基于数字孪生的产品设计过程和工作量预测方法[J].计算机集成制造系统,2022,28(01):17-30. （EI期刊）
专利： 1.基于数字孪生的不确定扰动下的IPPS问题求解方法，发明人：文笑雨、廉孝楠、钱运洁、李浩、王昊琪、张玉彦、乔东平、孙春亚，授权号：ZL202111211613.6，授权公告日：2023.2.28 发明授权 2.一种智能制造车间自动智能转运机，发明人：文笑雨,张玉彦,张丽科,李浩,王昊琪,杨文超,乔东平,孙春亚,姜伟，授权号：ZL202210744395.0，授权公告日：2023.03.10 发明授权 3.基于多模态敏感特征选取融合的设备故障预警方法及系统，发明人：张玉彦,文笑雨,李浩,王昊琪,孙春亚,乔东平，授权号：ZL202110590228.0，授权公告日：2023.01.31 发明授权 4.基于知识驱动的功能变更传播路径和工作量预测方法，发明人：王昊琪,文笑雨,李浩,孙春亚,李晓科,乔东平,罗国富，授权号：ZL201911366085.4, 授权公告日：2022.07.08 发明授权 5.一种基于数字孪生的人-机交互安全预警与控制方法，发明人：李浩、马文锋、文笑雨、王昊琪、谢贵重、孙春亚、李客、罗国富，授权号：ZL 202010362190.7，授权公告日：2021.09.03 发明授权 6.一种智能产线可试验数字孪生体建模方法，发明人：李浩、李兵、王昊琪、文笑雨、李客、罗国富，授权号：ZL201911406959.4，授权公告日：2020.11.13 发明授权 7.一种工业互联网智能设备远程操作安全验证方法，发明人：李浩、刘根、徐盛、文笑雨、李晓科、罗国富，授权号：ZL201810513633.0，授权公告日：2021.08.03 发明授权 8.一种基于数字孪生车间混合数据集的不安全状态检测方法，发明人：王昊琪、吕林东、李旭鹏、李浩、文笑雨、张玉彦、叶国永、孙春亚、刘根、谢贵重、刘俊，授权号：ZL202210765006.2，授权公告日：2023.5.26 发明授权 9.Intelligent material completeness detection and configuration method based on digital twin and augmented reality (AR). Hao Li, Bing Li, Haoqi Wang, Gen Liu, Guizhong Xie, Chunya Sun, Rongjie Huang, Xiaoyu Wen, Yuyan Zhang, Zhongshang Zhai, Fuquan Nie. 授权号：US 11455767 B1，授权公告日：2022.09.27 美国发明授权 10.Intelligent identitication and warning method for uncertain object of production line in digital twin environment (DTE). Haoqi Wang, Hao Li, Rongjie Huang, Gen Liu, Hongyu Du, Bing Li, Xiaoyu Wen, Yuyan Zhang, Chunya Sun. 授权号：US 11829116 B2，授权公告日：2023.11.28 美国发明授权
教改及教材： 1.2023.12，主持结项，河南省高等教育教学改革研究与实践项目（学位与研究生教育），面向智能制造的机械工程硕士研究生课程体系及教学模式改革研究与实践 2.2024.01，参与第二结项，河南省新工科研究与实践项目，面向智能制造新工科的机械设计制造及其自动化专业改造升级探索与实践 3.2023，副主编，《群体智能》，清华大学出版社，ISBN 978-7-302-61373-2 |
