曾志强副教授简介
作者:* 时间:2023-03-17 点击数:
姓名 | 曾志强 | 性别 | 男 | 出生年月 | 1989.4 | |
最高学位 | 博士 | 最后学历 | 研究生 | 政治面貌 | 群众 | |
所在单位 | 智能制造学部 | 职务 | 无 | 导师职称 | 副教授 | |
联系电话 |
| 电子邮箱 | zhiqiang.zeng@outlook.com | |||
指导学生专业 | 模式识别与智能系统(学硕)、电子与通信工程(专硕) | |||||
导师科研情况简介 | 学术方向:群体智能与进化计算、机器学习、生产调度
导师简介: 五邑大学高层次人才,江门市二级高层次人才,硕士生导师,长期从事群体智能算法的相关理论与应用的研究,主要研究遗传算法、粒子群优化算法、差分进化、多目标进化算法的理论以及其在工业过程优化以及生产调度等方面的应用。主持省部级与企业横向项目6项,发表高水平论文20余篇,以第一作者或通讯作者在Information Sciences及Knowledge-Based Systems等期刊上发表SCI论文10余篇,中科院一区SCI文章6篇,影响因子超过10的文章2篇。
科研项目: 1. 集成能效生产调度与过程优化的造纸厂能效提升方法研究,广东省自然科学基金,2019.10-2022.9,10万,项目负责人 2. 面向绿色制造的造纸生产线多任务协同优化研究,广东省教育厅,2020.4-2022.4,20万,项目负责人 3. 柔性作业车间的经济批量调度研究,五邑大学高层次人才启动项目,2019.11-2022.10,项目负责人 4. 基于大数据与云计算平台的面向智能制造的APS系统研发与应用,五邑大学青年团队科研项目,2019.10-2022.09,排名第二 5. 面向智能制造领域的区块链技术应用研究,五邑大学港澳联合研发基金,40万,2020.4-2023.4,参与
科研成果(近五年): [1] Zeng Z Q(曾志强), Zhang M, Chen T, et al. A new selection operator for differential evolution algorithm[J]. Knowledge-Based Systems, 2021, 226: 107150.(中科院一区) [2] Zeng Z Q(曾志强), Zhang H H. An evolutionary-state-based selection strategy for enhancing differential evolution algorithm[J]. Information Sciences, 2022, 617: 373-394.(中科院一区) [3] Zeng Z Q(曾志强), Zhang M, Zhang H H, et al. Improved differential evolution algorithm based on the sawtooth-linear population size adaptive method[J]. Information Sciences, 2022, 608: 1045-1071.(中科院一区) [4] Zeng Z Q(曾志强), Hong Z Y, Zhang H H, et al. Improving differential evolution using a best discarded vector selection strategy[J]. Information Sciences, 2022, 609: 353-375.(中科院一区) [5] Zeng Z Q(曾志强), Hong M N, Li J G, et al. Integrating process optimization with energy-efficiency scheduling to save energy for paper mills[J]. Applied Energy, 2018, 225: 542-558.(中科院一区) [6] Zeng Z Q(曾志强), Hong M N, Man Y, et al. Multi-object optimization of flexible flow shop scheduling with batch process—Consideration total electricity consumption and material wastage[J]. Journal of cleaner production, 2018, 183: 925-939.(中科院一区) [7] Zeng Z Q(曾志强), Zhang M, Hong Z Y, et al. Enhancing differential evolution with a target vector replacement strategy[J]. Computer Standards & Interfaces, 2022, 82: 103631.(中科院二区) [8] Hong Z Y, Zeng Z Q(曾志强,通讯作者), Gao L. Energy-efficiency scheduling of multi-cell manufacturing system considering total handling distance and eligibility constraints[J]. Computers & Industrial Engineering, 2021, 151: 106998.(中科院二区) [9] Zeng Z Q(曾志强), Gao L, Hong Z Y. Energy-Aware Scheduling of Two-Stage Flexible Flow Shop Based on Group Technology: Consideration of the Inconsistency of Process Differences[J]. International Journal of Computational Intelligence Systems, 2022, 15(1): 60. [10] Zeng Z Q(曾志强), Chen X B, Wang K Y. Energy saving for tissue paper mills by energy-efficiency scheduling under time-of-use electricity tariffs[J]. Processes, 2021, 9(2): 274. [11] Chen T, Zhu J, Zeng Z Q (曾志强,通讯作者), Jia X D. Compressor Fault Diagnosis Knowledge: a Benchmark Dataset for Knowledge Extraction from Maintenance Log Sheets based on Sequence Labeling. IEEE Access (中科院三区) [12] Gao L, Wu Y, Yang T, Zhang X, Zeng Z Q(曾志强,通讯作者), Chan C K D, Chen W. Research on Image Classification and Retrieval Using Deep Learning with Attention Mechanism on Diaspora Chinese Architectural Heritage in Jiangmen, China. Buildings 2023, 13, 275. https://doi.org/10.3390/buildings13020275(中科院三区) |