个人简历

教育经历\r
1996.09-2000.07 西北工业大学飞行器制造工程系机械电子工程专业本科，获学士学位\r
2000.09-2003.07 西北工业大学机电学院机械电子工程专业硕士，获工学硕士学位\r
2002.09-2006.09 西北工业大学机电学院机械电子工程专业博士，获工学博士学位\r
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工作经历\r
2006.09-2012.06 北京科技大学物流工程系，讲师\r
2012.07-2020.06 北京科技大学物流工程系，副教授，硕士生导师\r
2014.06-2015.06 英国伯明翰大学计算机学院，访问学者\r
2020.07-至今 北京科技大学物流工程系，教授

研究领域

"""""制造系统生产调度建模与优化、物流系统建模与优化、智能优化算法"

近期论文

Wu Xiuli, Yuan Qi, Wang Ling. Multi-objective Differential Evolution Algorithm for Solving Robotic Cell Scheduling Problem with Batch-processing Machines [J]. IEEE Transactions on Automation Science and Engineering. 2020,DOI.10.1109/TASE.2020.2969469\r
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Wu Xiuli, Xiao Xiao, Cui Qi. Multi-objective flexible flow shop batch scheduling problem with renewable energy [J]. International Journal of Automation and Control. 2020, 14 (5-6): 519-553\r
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Wu Xiuli, Shen Xianli, Zhao Ning. An improved discrete pigeon-inspired optimization algorithm for flexible job shop scheduling problem [J]. International Journal of Bio-Inspired Computation, 2020\r
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Xiuli Wu, Jing Li, Xianli Shen, Ning Zhao. NSGA-III for solving dynamic flexible job shop scheduling problem considering deterioration effect [J]. IET Collaborative Intelligent Manufacturing. 2020,2(1):22-33.DOI: 10.1049/iet-cim.2019.0056\r
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Xiuli Wu, Xianli Shen, Congbo Li. The flexible job-shop scheduling problem considering deterioration effect and energy consumption simultaneously[J]. Computers & Industrial Engineering, 2019, 135:1004-1024\r
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Xiuli Wu，Liu Xiajing. A Differential Evolution Algorithm for Solving a Distributed Assembly Flexible Job Shop Scheduling Problem [J]. Memetic Computing. 2019,11(4):335-355\r
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Wu Xiuli, Shen Xianli, Zhang Linjuan. Solving the planning and scheduling problem simultaneously in a hospital with a bi-layer discrete particle swarm optimization [J]. Mathematical Biosciences and Engineering, 2019, 831-861\r
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Xiuli Wu, Jing Li, Lin Sun. Hybrid flow shop scheduling problem in ubiquitous manufacturing environment [J]. IET Collaborative Intelligent Manufacturing, 2019,1(2):56-66\r
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Wu Xiuli，Sun Yangjun. A green scheduling algorithm for flexible job shop with energy-saving measures [J]. Journal of Cleaner Production. 2018,172:3249-3264、[10]Wu Xiuli, Shen Xianli, Cui Qi. Multi-Objective Flexible Flow Shop Scheduling Problem Considering Variable Processing Time due to Renewable Energy[J]. Sustainability, 2018, 10(3):841.\r
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Wu Xiuli; Liu Xiajing. An Improved Differential Evolution Algorithm for Solving a Distributed Flexible Job Shop Scheduling Problem [C]. 2018 IEEE 14th International Conference on Automation Science and Engineering, Tech Univ Munich, Munich, Germany.968-973\r
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Wu Xiuli, Li Jing. Discrete harmony search algorithm for flexible job-shop scheduling problems [C]. Communications in Computer and Information Science. 2018,952:31-41\r
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Wu Xiuli, Xiao Xiao, Zhang Linjuan. Optimizing the three-stage operating room scheduling problem with RVNS-GA [C]. 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018,729-734\r
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Xiuli Wu，Shaomin Wu. An elitist quantum-inspired evolutionary algorithm for the flexible job-shop scheduling problem[J]. Journal of Intelligent Manufacturing. 2017,28(6): 1441–1457\r
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Wu Xiuli, Gao Dongliang. A study on greedy search to improve simulated annealing for large-scale traveling salesman problem [C]. 8th International Conference on Swarm Intelligence, ICSI 2017, Fukuoka, Japan,2017,07, 27 -08,01\r
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Xiuli Wu, Pietro Consoli, Leandro Minku, Gabriela Ochoa, Xin Yao. An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem [C].14th International Conference on Parallel Problem Solving from Nature, PPSN2016, Edingburg,UK,2016.09.17-21\r
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Jin Yan, Xiuli Wu. A genetic based hyper-heuristic algorithm for job shop scheduling problem[C]. 7th International Conference on Intelligent Human-Machine System and Cybernrtics, 2015, (1):161-164. 2015.8.27-28. EI\r
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吴秀丽，孙琳. 智能制造系统基于数据驱动的车间实时调度[J].控制与决策，2020，35（3）：523-535\r
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吴秀丽, 袁琦. 差分进化算法求解带批处理机的机器人制造单元调度问题[J]. 控制与决策，2020，35（1）：83-90\r
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吴秀丽, 刘夏晶. 差分进化算法求解分布式柔性作业车间调度问题[J]. 计算机集成制造系统, 2019, 25(10):2539-2558.\r
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吴秀丽, 张志强, 赵宁, 李俊青. 超启发式文化基因算法优化生产与预维修集成调度问题[J]. 计算机集成制造系统, 2019, 25(08):1885-1896.\r
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吴秀丽. 智慧仓内的智能算法应用现状综述[J]. 物流技术与应用, 2019,24(08):118-123.\r
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吴秀丽,崔琪. 基于NSGA-II的柔性流水车间低碳调度问题[J].计算机集成制造系统, 2018, 24(11):2792-2807.\r
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吴秀丽,孙阳君.机器多转速的柔性作业车间绿色调度问题[J].计算机集成制造系统, 2018, 24(04): 862-875.\r
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吴秀丽, 张志强, 李俊青. 求解离散调度问题的双机制头脑风暴优化算法[J]. 控制与决策, 2017，32(09):1583-1590.\r
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崔琪, 吴秀丽, 余建军. 变邻域改进遗传算法求解混合流水车间调度问题[J].计算机集成制造系统, 2017,23(09):1917-1927.\r
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吴秀丽,张志强,杜彦华,闫瑾.改进细菌觅食算法求解柔性作业车间调度问题[J].计算机集成制造系统, 2015, 21(05):1262-1270.