职称

副教授

职务

无

电话

（选填）

电子邮件

tyustyuhaibo@126.com

所属

研究所

大数据与视觉计算研究所

主要研究方向

智能计算、机器学习、数据驱动的进化优化及其应用

教育经历

2023.01--至今，中北大学，计算机科学与技术学院，副教授

2019.08--2022.12，中北大学，计算机科学与技术学院，讲师

2015.09--2019.06，太原科技大学，机械工程专业（智能优化设计方向），博士

2012.09--2015.07，太原科技大学，数学专业（最优化理论及应用方向），硕士

2008.09--2012.07，长治学院，数学与应用数学专业，学士

主要成果

科研项目：

[1]   高效在线代理模型管理技术驱动的代理模型辅助群体智能算法研究，国家自然科学基金青年科学基金项目，2022-01至2024-12，30万元，在研，主持；

[2]   基于统计分析理论的城市复杂环境下有毒气体传播预测研究，国家自然科学基金联合基金项目，2022-01至2025-12，260万元，在研，子课题主持；

[3]   演化数据导向的代理模型辅助群体智能优化技术研究，山西省青年科技研究基金，2019-09至2022-09，3万元，结题，主持。

期刊论文：

[1]   于海波,朱秦娜,康丽,乔钢柱,曾建潮.带偏向性轮盘赌的多算子协同粒子群优化算法[J/OL].   控制与决策:1-9.   (2023). https://doi.org/10.13195/j.kzyjc.2022.1486.

[2]   Haibo Yu, Yiyun Gong, Li Kang, Chaoli Sun, Jianchao Zeng, Dual-drive   collaboration surrogate-assisted evolutionary algorithm by coupling feature   reduction and reconstruction[J]. Complex & Intelligent Systems. (2023).   https://doi.org/10.1007/s40747-023-01168-3

[3]   Haibo Yu, Yaxin Kang, Li Kang, Jianchao Zeng, Bi-preference   linkage-driven artificial bee colony algorithm with multi-operator fusion[J].   Complex & Intelligent Systems. 9, 6729–6751 (2023).   https://doi.org/10.1007/s40747-023-01085-5 [1] Haibo Yu, Li Kang, Ying   Tan. Jianchao Zeng, Chaoli Sun. A multi-model assisted differential evolution   algorithm for computationally expensive optimization problems[J]. Complex and   Intelligent Systems. 2021, 7: 2347–237.

[4]   Haibo Yu, Li Kang, Ying Tan, Chaoli Sun, Jianchao Zeng,   Truncation-learning-driven surrogate assisted social learning particle swarm   optimization for computationally expensive problem[J]. Applied Soft   Computing, 2020, 97(Part A):106812.

[5]   Haibo Yu, Ying Tan, Chao Sun, Jianchao Zeng, A generation-based   optimal restart strategy for surrogate-assisted social learning particle swarm   optimization[J], Knowledge-Based Systems, 2019, 163: 14-25.

[6]   Haibo Yu, Ying Tan, Jianchao Zeng, Chaoli Sun, Yaochu Jin, Surrogate-assisted   hierarchical particle swarm optimization[J], Information Sciences, 2018, 454-455:    59-72.

[7]   Haibo Yu, Ying Tan, Chaoli Sun, Jianchao Zeng, A Comparison of Quality   Measures for Model Selection in Surrogate Assisted Evolutionary Algorithm[J],   Soft Computing, 2019, 23(23): 12417-12436.

[8]   Li Kang, Zhongkang Han, Haibo Yu, Qiangshun Wu, Hanpei Yang,   Experimental and theoretical investigations on the enhanced photocatalytic   performance of titanate nanosheets/sulfur-doped g-C3N4 heterojunction: Synergistic   effects and mechanistic studies[J], Separation and Purification Technology,   2022, 278: 119482.

[9]   Li Kang, Liangliang Xu, Zhongkang Han, Haibo Yu, Qiangshun Wu, Mi Wu,   Zuming He, Lina Wang, Hanpei Yang, Strategy to enhance photocatalytic   performance of heterojunctional composite by dimensionality modulating:   Insights into the scheme in interfacial charge migration and mass   transfer[J], Chemical Engineering Journal, 2022, 429: 132355

[10] Li Kang, Hanpei Yang, Haibo Yu, Qiangshun   Wu. Insight into the existent state of nitrogen-doped   carbon dots in titanate nanotubes and their roles played toward simultaneous   removal of coexisted Cu2+ and norfloxacin in water[J]. Journal of Colloid and   Interface Science, 2022, 628: 910-923.

会议论文：

[1]   Yaxin kang, Haibo Yu, Li Kang, Gangzhu Qiao, Dongpeng Guo, Jianchao   Zeng, A Surrogate-Assisted Evolutionary Algorithm based on K-Means Clustering   and Lévy Flight[C] China Automation Congress(CAC), Chinese Society of   Automation, Chongqing, China, 2023

[2]   龚逸昀，于海波，康丽，程志平，曾建潮.一种基于双受限玻尔兹曼机的代理模型辅助进化算法[C]2023中国自动化大会论文集，中国自动化学会，重庆，中国，2023

[3]   Yiyun Gong, Li Kang, Gangzhu Qiao, Dongpeng Guo, Haibo Yu, Jianchao   Zeng, The Adaptive Search Strategy Selection Based on the Guide of Two   Learning Mechanisms for High-Dimensional Expensive Problems[C]. 2023 5th   International Conference on Data-driven Optimization of Complex Systems   (DOCS), Tianjin, China, 2023, pp. 1-7, doi: 10.1109/DOCS60977.2023.10294738.

[4]   Haibo Yu, Ying Tan, Chaoli Sun, Jianchao Zeng, Clustering-based evolution   control for surrogate-assisted particle swarm optimization, in: 2017 IEEE   Congress on Evolutionary Computation (CEC), 2017, pp. 503-508.

[5]   Haibo Yu, Ying Tan, Chaoli Sun, Jianchao Zeng, Yaochu Jin, An adaptive   model selection strategy for surrogate-assisted particle swarm optimization   algorithm, in: 2016 IEEE Symposium Series on Computational Intelligence   (SSCI), 2016, pp. 1-8.

[6]   Jie Tian, Chaoli Sun, Jianchao Zeng, Haibo Yu, Ying Tan, Yaochu Jin,   Comparisons of different kernels in Kriging-assisted evolutionary expensive   optimization, in: 2017 IEEE Symposium Series on Computational Intelligence   (SSCI), 2017, pp. 1-8.

[7]   Hao Wang, Chaoli Sun, Yaochu Jin, Shufen Qin, Haibo Yu, A   Multi-indicator based Selection Strategy for Evolutionary Many-objective   Optimization, 2019 IEEE Congress on Evolutionary Computation (CEC),   2019.6.10-13, Wellington, New Zealand, 2019, pp. 2043-2050.

招生方向

081200 计算机科学与技术

085404计算机技术（专业学位）

085410人工智能（专业学位）