教育经历
2019.09~ 2023.07,东北大学,控制科学与工程,博士,导师:刘建昌教授
2022.02~ 2023.02,德国比勒费尔德大学,国家公派联合培养,导师:Yaochu Jin教授
2017.09~ 2019.07,东北大学,控制理论与控制工程,硕士,导师:刘建昌教授
2013.09~ 2017.06,东北大学(秦皇岛分校),自动化专业,工学学士
工作经历
2023.07~ 至今,东北大学,信息科学与工程学院,讲师
2023.07~ 至今,东北大学,计算机科学与工程学院,博士后,合作导师:唐立新院士
研究方向
复杂工业过程建模与优化、进化计算、迁移学习、
项目
1.项目名称:环境变化未知的动态多目标智能优化方法,项目来源:国家自然科学基金面上项目,项目编号:62273080,项目时间:2023.01-2026.12,项目金额: 54.00万元,参与。
2.项目名称:带有间歇通讯的多智能体系统事件触发控制,项目来源:国家自然科学基金面上项目,项目编号:61773106,项目时间:2018.01-2021.12,项目金额:65万元,参与。
学术成果
期刊论文:
1.Yuanchao Liu, Jianchang Liu*, Jinliang Ding, Shangshang Yang, Yaochu Jin*. A surrogate-assisted differential evolution with knowledge transfer for expensive incremental optimization problems[J]. IEEE Transactions on Evolutionary Computation, 在线发表,doi:10.1109/TEVC.2023.3291697.
2.Yuanchao Liu, Jianchang Liu*, Yaochu Jin*. Surrogate-assisted multipopulation particle swarm optimizer for high-dimensional expensive optimization[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(7): 4671–4684.
3.Jianchang Liu(导师), Yuanchao Liu, Yaochu Jin*, Fei Li. A decision variable assortment-based evolutionary algorithm for dominance robust multiobjective optimization[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(5): 3360–3375.
4.Yuanchao Liu, Jianchang Liu*, Yaochu Jin*, Fei Li, Tianzi Zheng. A surrogate-assisted two-stage differential evolution for expensive constrained optimization[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 7(3): 715-730.
5.Yuanchao Liu, Jianchang Liu*, Yaochu Jin, Fei Li, Tianzi Zheng. An affinity propagation clustering based particle swarm optimizer for dynamic optimization[J]. Knowledge-Based Systems, 2020, 195: 105711.
6.Yuanchao Liu, Jianchang Liu*, Shubin Tan. Decision space partition based surrogate-assisted evolutionary algorithm for expensive optimization[J]. Expert Systems with Applications, 2023, 214: 119075.
7.Yuanchao Liu, Jianchang Liu*, Shubin Tan, Yongkuan Yang, Fei Li. A bagging-based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization[J]. Neural Computing and Applications, 2022, 34, 14: 12097–12118.
8.Yuanchao Liu, Jianchang Liu*, Tianjun Li, Qian Li. An R2 indicator and weight vector-based evolutionary algorithm for multi-objective optimization[J]. Soft Computing, 2020, 24, 7: 5079-5100.
9.Liang Liu, Jianchang Liu*, Honghai Wang, Shubin Tan, Yuanchao Liu, Miao Yu, Peng Xu. A fault detection method based on the dynamic k-nearest neighbor model and dual control chart[J]. IEEE Transactions on Automation Science and Engineering, 在线发表, doi: 10.1109/TASE.2023.3332452.
10.Fei Li*, Qiang Yue, Yuanchao Liu, Haibin Ouyang, Fangqing Gu. A fast density peak clustering based particle swarm optimizer for dynamic optimization[J]. Expert Systems with Applications, 2024, 236: 121254.
会议论文:
1.Yuanchao Liu, Jianchang Liu*, Tianzi Zheng, Yongkuan Yang. A surrogate-assisted clustering particle swarm optimizer for expensive optimization under dynamic environment[C]. 2020 IEEE congress on evolutionary computation (CEC). IEEE, 2020: 1-8.
获奖荣誉
1.2021年博士研究生国家奖学金
2.2020年国家建设高水平大学公派研究生项目奖学金
3.第5届复杂系统数据驱动优化国际会议最佳论文奖(The 5th International Conference on Data-driven Optimization of Complex Systems Best Paper Award)
学术兼职
1.国内外顶级期刊审稿人:IEEE Transactions on Evolutionary Computation、IEEE Transactions on Cybernetics、IEEE Transactions on Emerging Topics in Computational Intelligence、IEEE Transactions on Artificial Intelligence、自动化学报
联系方式
办公室:信息楼343
邮箱:liuyuanchao@ise.neu.edu.cn