l 论文: Li Nie, Liang Gao, Peigen Li, Xinyu Shao.Reactive scheduling in a job shop where jobs arrive over time. Computers & Industrial Engineering, 2013, 66(2): 389-405. (影响因子1.516. SCI检索) Li Nie, Liang Gao, Peigen Li, Xinyu Li.A GEP-based reactive scheduling policies constructing approach for dynamic flexible job shop scheduling problem with job release dates. Journal of Intelligent Manufacturing. 2013, 24: 763-774. (影响因子1.278. SCI检索) Li Nie, Xinyu Shao, Liang Gao, Weidong Li.Evolving scheduling rules with gene expression programming for dynamic single-machine scheduling problems. International Journal of Advanced Manufacturing Technology, 2010, 50(5-8): 729-747.(影响因子1.205. SCI检索). 聂黎,高亮,胡译丹.基于前序基因表达式编程的单机成组调度算法.计算机集成制造系统, 2007, 13(11): 2261-2268, 2275. (EI检索) NIE Li, GAO Liang, HU Yidan. Prefix-gene-expression-programming based algorithm for scheduling groups of jobs on a single machine. Computer Integrated Manufacturing Systmes, 2007, 13(11): 2261-2268, 2275. Li Nie, YueweiBai, Xiaogang Wang, Kai Liu and ChilanCai.An Agent-based Dynamic Scheduling Approach for Flexible Manufacturing Systems.Proceedings of the 2012 International Conference on Computer Supported Cooperative Work in Design (CSCDW 2012), May. 23-25, 2012, Wuhan, China. (EI检索) Li Nie, YueweiBai, Xiaogang Wang and Kai Liu. Discover Scheduling Strategies with Gene Expression Programming for Dynamic Flexible Job Shop Scheduling Problem. Proceedings of the 2012 International Conference on Swarm Intelligence (ICSI 2012), Jun. 17-20, Shenzhen, China: ICSI 2012, Part II, LNCS 7332, pp. 383, 2012.(EI检索) Li Nie, Liang Gao, Peigen Li, Liping Zhang.Application of gene expression programming on dynamic job shop scheduling problem. Proceedings of the 2011 International Conference on Computer Supported Cooperative Work in Design (CSCDW 2011), Jun. 8-10, 2011, Lausanne, Switzerland pp. 291-295. (EI检索) Li Nie, Liang Gao, Peigen Li, Xiaojuan Wang.Multi-objective optimization for dynamic single machine scheduling. Proceedings of the 2011 International Conference on Swarm Intelligence (ICSI 2011), Jun. 12-15, Chongqing, China. Y. Tan et al. (Eds.): ICSI 2011, Part II, LNCS 6729, pp. 1–9, 2011.(EI检索) Mi Xiao, Liang Gao, Xinyu Shao, HaoboQiu,Li Nie. Comparison of Gene Expression Programming and Common Metamodeling Techniques in Engineering Design. Proceedings of the ASME 2011 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2011), Aug. 28-31, Washington, DC, USA. (EI检索) Liang Gao, Mi Xiao, Xinyu Shao, Ping Jiang,Li Nie, HaoboQiu. Analysis of gene expression programming for approximation in engineering design. Structural and Multidisciplinary Optimization, on line.(影响因子1.728, SCI检索) Li Nie, Xiaogang Wang, Kia Liu, Changtao Pang. Framework of Order Planning and Scheduling System for MTO Enterprise. Applied Mechanics and Materials vols. 635-637 (2014) pp 1847-1851. Li Nie, Yuewei Bai, Jun Wu, Changtao Pang. Integrated Approach for Flexible Mixed Model Assembly Lines Balancing and Model Sequencing Problem. Applied Mechanics and Materials vols. 670-671 (2014) pp 1593-1600 Li Nie, Yuewei Bai, Xin Jiang, Changtao Pang. An Approach for Level Scheduling Mixed Models on an Assembly Line in A JIT Production System. Applied Mechanics and Materials vols. 697 (2015) pp 473-477 Li Nie, Xiaogang Wang, Kia Liu, Changtao Pang. An approach for the balancing and sequencing problem in the mixed-model U-line. Proceedings of 2014 Pacific-Asia Workshop on Computational Intelligence in Industrial Application CIIA 2014. Xiaogang Wang,Li Nie, Yuewei Bai. Discovering scheduling rules with a machine learning approach based on GEP and PSO for dynamic scheduling problems in shop floor. Proceedings of 2014 Pacific-Asia Workshop on Computational Intelligence in Industrial Application CIIA 2014, pp. 365-370, 2014. 张国辉,聂黎,毛学港.生物地理学算法求解柔性作业车间调度问题.计算机应用研究, 2014, 31(4): 1005-1008. ZHANG Guohui,NIE Li, MAO Xuegang. Solving flexible Job-Shop scheduling problem based on biogeography-based optimization algorithm. Application Research of Computers, 2014, 31(4): 1005-1008. 张国辉,聂黎,张利平.生物地理学优化算法理论及其应用研究综述.计算机工程与应用, 2015, 51(3): 12-17. ZHANG Guohui,NIE Li, ZHANG Liping. Review on biogeography-based optimization algorithm and applications. Computer Engineering and Application, 2015, 51(3): 12-17. 张国辉,吴立辉,聂黎,王永成.考虑机器故障的柔性作业车间鲁棒调度方法.系统仿真学报, 2015, 27(1): 1-7. ZHANG Guohui, WU Lihui,NIE Li, WANG Yongcheng. A Robust Flexible Job Shop Scheduling Method with Machine Breakdown. Journal of System Simulation, 2015, 27(1): 1-7. 王小刚,白跃伟,聂黎,刘凯. PLM协同环境下CAE应用集成研究.机床与液压, 2015, 43(15): 151-154. WANG Xiaogang, BAI Yuewei,NIE Li, LIU Kai. Study on Application Integration for CAE in PLM Cooperative Environment. Machine Tools & Hydraulics, 2015, 43(15): 151-154. 王小刚,白跃伟,聂黎,刘凯.面向工程应用的仿真测量机系统.机床与液压, 2015, 43(9): 145-148. WANG Xiaogang, BAI Yuewei,NIE Li, LIU Kai. Simulation CMM System for Engineering Application. Machine Tools & Hydraulics, 2015, 43(9): 145-148. Fangyu Pan,Li Nie, Yuewei Bai, Xiaogang Wang, Xiaoyan Wu. Geometric Errors Measurement for Coordinate Measuring Machines. IOP Conf. Series: Earth and Environmental Science 81 (2017) 012117. Doi: 10.1088/1755-1315/81/1/012117 潘芳煜,白跃伟,聂黎,王小刚,刘凯.三坐标测量机几何误差的建模及测量.上海第二工业大学学报, 34(1): 37-42, 2017. Nie Li,Wang Xiaogang,Pan Fangyu. A game-theory approach based on genetic algorithm for flexible job shop scheduling problem. IOP Conf. Series: Journal of Physics: Conf. Series :2019-01-01. Nie Li,Xiaogang Wang,Yuewei Bai,Xiaoyan Wu. Machine Learning Approach Based on Gene Expression Programming for Dynamic Production Scheduling Problem. IOP Conf. Series: Materials Science and Engineering.:2019-01-01. Nie Li,Xiaogang Wang,Kai Liu,Yuewei Bai. Hyper heuristic method based on improved GEP for scheduling problems in shop floor. IESM 2019:2019-01-01. Nie Li,Yuewei Bai,Xiaohong Fang,Xiaogang Wang. A rescheduling approach based on genetic algorithm for flexible scheduling problem subject to machine breakdown. IOP Conf. Series: Journal of Physics:2019-01-01. Nie Li,Xiao Hong Fang, Hua Mu. Research progress on logistics network optimization under low carbon constraints. IOP Conference Series: Earth and Environmental Science:2020-01-01. |