Faculty Profile

硕士生导师

入选全球前2%顶尖科学家榜单

东北大学学生创新创业活动优秀指导教师

东北大学本科毕业设计优秀指导教师

教育经历

2017.09-2021.07，东北大学，信息科学与工程学院，系统工程专业，博士学位

2018.10-2020.10，美国新泽西理工学院，国家公派联合培养博士

2015.09-2017.07，东北大学，信息科学与工程学院，系统工程专业，硕士学位

2011.09-2015.07，东北大学，信息科学与工程学院，自动化专业，学士学位

研究方向

智能优化决策、智能制造、智慧物流、多智能体调度、生产计划与调度、智能优化算法

招收博士/硕士

欢迎自动化、计算机、软件、人工智能、控制工程、系统工程等专业学生报考

招收本科生

课题组常年招收本科生若干，参与大创、数学建模等科技竞赛、高年级本科生科研训练、毕业设计等。

科研项目

数据驱动的制造过程闭环控制分析与优化方法研究，国家重点研发计划项目，2021YFB3301200，2021.12-2024.11，子课题负责人

炼钢-轧钢流程生产调度与电能配置的集成优化方法，国家自然科学基金青年项目，62203093，2023.01-2025.12，项目负责人

可移动货架智能仓储环境下多层级协同的多机器人调度方法研究，广东省基础与应用基础研究基金项目，2022.01-2024.12，项目负责人

数据驱动的高耗能流程工业过程物质流和能量流协同运行优化方法，辽宁省科技计划联合计划（基金）项目，2023-MSBA-074， 2023.12-2025.11，项目负责人

中央高校基础科研业务费项目，N2204016，2022.01-2023.12，项目负责人

东北大学博士后基金项目，项目负责人

基于工业大数据的铝/铜板带材智能化工控制技术，国家重点研发计划项目，2017YFB0306400，2017.06-2021.06，参与人

长型材智能化制备关键技术，国家重点研发计划项目，2017YFB0304200，2017.06-2021.06，参与人

面向钢铁轧制过程应用的专业性信息物理系统（CPS）测试验证床建设，工业和信息化部2017年工业转型升级重点项目，2017.12-2019.11，参与人

面向节能的钢铁流程工序界面参数与生产调度协同优化方法，国家自然科学基金面上项目，62073069，2021.01-2024.12，参与人

数据驱动的流程工业大规模定制产品及设计的鲁棒优化方法，国家自然科学基金面上项目，61573089，2016.01-2019.12，参与人

代表性论文

Z. Zhao, B. Cao, J. Liang, S. Liu, and M. Zhou, "Learning-Based Approach to Integrated Operational Optimization Problems in Robot-Assisted Multistation Warehouse Systems," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 55, no. 11, pp. 7922-7934, 2025. (SCI, JCR一区)

Z. Zhang (学生), Z. Zhao, S. Qin, S. Liu and M. Zhou, "Multi-product multi-stage multi-period resource allocation for minimizing batch-processing steel production cost," in IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 5272-5283,  2025. (SCI, JCR一区)

X. Zhang (学生), Z. Zhao,  S. Qin,  S. Liu, and M. Zhou, "Dynamic quadratic decomposition-based evolutionary algorithm for multi-objective fuzzy flexible jobshop scheduling," in Swarm and Evolutionary Computation, vol. 94, p. 101884,  2025. (SCI, JCR一区)

Z. Zhao, X. Li, S. Liu, M. Zhou and X. Yang, "Multi-Mobile-Robot Transport and Production Integrated System Optimization," in IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 7480-7491,  2025. (SCI, JCR一区)

S. Yan (学生), Z. Zhao, S. Liu and M. Zhou, "BO-SMOTE: A Novel Bayesian-Optimization-Based Synthetic Minority Oversampling Technique," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024. (SCI, JCR一区)

Z. Zhao, S. Li, S. Liu, M. Zhou, X. Li and X. Yang, "Lexicographic Dual-Objective Path Finding in Multi-Agent Systems," in IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 6223-6233, 2025. (SCI, JCR一区)

Z. Zhao, Z. Bian, J. Liang, S. Liu, and M. Zhou, "Scheduling and Logistics Optimization for Batch Manufacturing Processes with Temperature Constraints and Alternative Thermal Devices," in IEEE Transactions on Industrial Informatics,  vol. 20, no. 10, pp. 11930-11939, 2024. (SCI, JCR一区)

X. Zhang (学生), S. Liu, Z. Zhao and S. Yang, "A Decomposition-Based Evolutionary Algorithm With Clustering and Hierarchical Estimation for Multi-Objective Fuzzy Flexible Jobshop Scheduling," in IEEE Transactions on Evolutionary Computation, 2024. (SCI, JCR一区)

Z. Zhao, Q. Jiang, S. Liu, M. Zhou, X. Yang, and X. Guo, "Energy, cost and job-tardiness-minimized scheduling of energy-intensive and high-cost industrial production systems," in Engineering Applications of Artificial Intelligence, vol. 133, 108477, 2024. (SCI, JCR一区)

Z. Zhao, J. Cheng, J. Liang, S. Liu, M. Zhou, and Y. Al-Turki, "Order Picking Optimization in Smart Warehouses with Human-Robot Collaboration," in IEEE Internet of Things Journal, vol. 11, no. 9, pp. 16314-16324, 2024. (SCI, JCR一区)

C. Zhang (学生), Y. Wang, Z. Zhao, X. Chen, H. Ye, S. Liu, Y. Yang, K. Peng, "Performance-driven closed-loop optimization and control for smart manufacturing processes in the cloud-edge-device collaborative architecture: A review and new perspectives," in Computers in Industry, 2024.  (SCI, JCR一区)

M. Zhou, M. Cui, D. Xu, S. Zhu, Z. Zhao and A. Abusorrah, "Evolutionary Optimization Methods for High-Dimensional Expensive Problems: A Survey," in IEEE/CAA Journal of Automatica Sinica, vol. 11, no. 5, pp. 1092-1105, May 2024. (SCI, JCR一区)

Z. Zhao, M. Zhou, and S. Liu, "Iterated Greedy Algorithms for Flow-shop Scheduling Problems: A Tutorial," in IEEE Transactions on Automation Science and Engineering, vol. 19, no. 3, pp. 1941–1959, 2022. (SCI, JCR一区)

Z. Zhao, S. Liu, M. Zhou, D. You and X. Guo, "Heuristic Scheduling of Batch Production Processes Based on Petri Nets and Iterated Greedy Algorithms," in IEEE Transactions on Automation Science and Engineering, vol. 19, no. 1, pp. 251-261, Jan. 2022. (SCI, JCR一区)

Z. Zhao, S. Liu, M. Zhou and A. Abusorrah, "Dual-Objective Mixed Integer Linear Program and Memetic Algorithm for an Industrial Group Scheduling Problem," in IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 6, pp. 1199-1209, 2021. (SCI, JCR一区)

Z. Zhao, S. Liu, M. Zhou, X. Guo and L. Qi, "Decomposition Method for New Single-Machine Scheduling Problems From Steel Production Systems," in IEEE Transactions on Automation Science and Engineering, vol. 17, no. 3, pp. 1376-1387, July 2020. (SCI, JCR一区)

Y. Ji (学生), S. Liu, M. Zhou, Z. Zhao, X. Guo, and L. Qi, "A machine learning and genetic algorithm-based method for predicting width deviation of hot-rolled strip in steel production systems," in Information Sciences, vol. 589, pp. 365-370, 2022.  (SCI, JCR一区)

赵梓焱，李思怡，刘士新，刘硕，赵亚峰. 钢铁生产过程动态调度综述. 冶金自动化, 2022, 46(2): 65-79.