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
