Release time:2022-12-30 Hits:
Translation or Not:no
Pre One:C. Hu, R. Qiao, Z. Zhang, X. Yan and M. Li, Dynamic Scheduling Algorithm Based on Evolutionary Reinforcement Learning for Sudden Contaminant Events Under Uncertain Environment, in Complex System Modeling and Simulation, vol. 2, no. 3, pp. 213-223, September 2022, doi: 10.23919/CSMS.2022.0014.
Next One:Li C., Cui Y., Hu C*. (2022). Design of Portrait System for Road Safety Based on a Dynamic Density Clustering Algorithm. In: , et al. Neural Computing for Advanced Applications. NCAA 2022. Communications in Computer and Information Science, vol 1638. Springer, Singapore.
胡成玉，男，1978年出生，教授，博士生导师。曾任中国地质大学（武汉）计算机学院副院长，智能仿真优化与调度专委会委员，CCF高级会员，CCF教育专委会执行委员，IJBIC国际期刊编委，Sensors特邀编委。近年来，主持国家重点研发计划课题、国家自然科学基金面上项目、国家自然科学青年基金等国家省部级项目8项，承担央企国企重大横向项目10多项。在国际国内期刊会议如TEVC、TASE、TAI、AAAI、中国科学、计算机研究与发展等发表科研学术论文近80余篇，出版专著2部。2012年，获得中国人工智能学会颁发的“最佳青年科技成果奖”荣誉称号。2015年获得国际会议ICA3PP最佳论文，2019年获得中国仿真学会优秀论文奖，2021年获得湖北省自然科学二等奖（序5），2022年和2026年获得湖北省教学成果二等奖。
招收智能计算，强化学习等方向的研究生，请附简历发邮件huchengyu@cug.edu.cn.
代表性学术成果：
Wang Yubo, Chengyu Hu* ,Wenyin Gong, Liang Gao, (2026), “Fuzzy Logic Control System Assisted Operator Selection for Constrained Multi-Objective Optimization”, IEEE Transactions on Fuzzy Systems, PP(99):1-13
Wang Yubo, Chengyu Hu* ,Wenyin Gong, et al, (2026), “"Unbalanced and Balanced Competition Strategy-Assisted Dual-Swarm Optimizer for Constrained Multi-Objective Optimization," in IEEE Transactions on Automation Science and Engineering, vol. 23, pp. 7572-7586, 2026, doi: 10.1109/TASE.2026.3678307
Chengyu Hu,Yangming Wang, et al. (2025), Adaptive Deep Reinforcement Learning for Efficient Task Scheduling in Green Energy Powered Cloud Data Center, IEEE Transactions on Sustainable Computing, DOI: 10.1109/TSUSC.2025.3591510
Wang Yubo, Chengyu Hu* ,Wenyin Gong, Liang Gao, (2024), “A Diversity-Enhanced Tri-Stage Framework for Constrained Multi-objective Optimization”, IEEE Transactions on Evolutionary Computation,PP(99):1‐13
Xuesong Yan, Xing Guo, Jin Chen, Chengyu Hu*,(2024),“Learning Driven Dynamic Multimodal Optimization Algorithm for Real‐Time Traceability of Water Pollution”, IEEE Transactions on Artificial Intelligence, PP(99):1‐13
Xuesong Yan, Hao Zuo, Chengyu Hu*,(2024),“Distributed Heterogeneous Flow Shop Scheduling Method for Dual‐Carbon Goals,” IEEE Transactions on Automation Science and Engineering, PP(99):1‐13
Wang Yubo, Chengyu Hu* ,Wenyin Gong(2024), “Constrained multi-objective optimization with dual‐swarm assisted competitive swarm optimizer”, Swarm and Evolutionary Computation 86(3):101496
王昱博, 胡成玉*, 龚文引 (2023). 基于帕累托前沿关系求解约束多目标优化问题,系统仿真学报. https://doi.org/10.16182/j.issn1004731x.joss.22‐ 1430
Chengyu Hu, Wang Qiuming, Gong Wenyin, et al，(2022). “Multi‐objective deep reinforcement learning for emergency scheduling in a water distribution network”, Memetic Computing. 14:211–223.
Chengyu Hu, Qiao Rui, Gong Wenyin, et al.(2022), “A novelty‐search‐based evolutionary reinforcement learning algorithm for continuous optimization problems”, Memetic Computing. 14:451–460.
Chengyu Hu, Liguo Dai, Xuesong Yan, Wenyin Gong and Ling Wang (2020). “Modified NSGA‐III for sensor placement in water distribution systems”. Information Sciences, 509: 488‐500.
Chengyu Hu, Xuesong Yan, Wenyin Gong, et al. (2020). “Multi-objective based scheduling algorithm for sudden drinking water contamination incident”，Swarm and Evolutionary Computation,55(6):100674
代表性项目：
1.主持，面向快速换产需求的高柔性分布式智能生产网络构建技术，国家重点研发计划课题（2023YFB4606504），2023.12--2026.12
2.主持，基于演化强化学习的城镇供水系统传感器布置与应急调度方法研究，国家自然科学基金面上项目（62073300），2021.1--2024.12
3.主持，云环境下基于Memetic框架的水质传感器大规模优化布置方法研究，国家自然科学青年基金（61305087），2014.1---2016.12
4.主持，基于云计算的大规模给水管网水质传感器布置优化研究，中国博士后科学基金（2014M562086），2015.01---2016.12
5.主持，大规模异构卫星星座资源分配与任务规划，重大横向项目，某央企，2024.1--2024.12
