杨鸣
基本信息Personal Information
副教授 硕士生导师
性别 : 男
学历 : 博士研究生
学位 : 工学博士学位
在职信息 : 在职
所在单位 : 计算机学院
学科 : 计算机科学与技术
办公地点 : 未来城校区计算出学院办公楼631
联系方式 : mingyang@cug.edu.cn
Email :
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- [1]Ming Yang, Aimin Zhou, Changhe Li, Xin Yao. An efficient recursive differential grouping for large-scale continuous problems. IEEE Transactions on Evolutionary Computation, 2021, 25(1): 159-171. (SCI, T1)
- [2]Ming Yang, Aimin Zhou, Xiaofen Lu, Changhe Li, Jing Guan. CCFR3: A cooperative co-evolution with efficient resource allocation for large-scale global optimization. Expert Systems with Applications, 2022, 203: 117397. (SCI, T2)
- [3]Ming Yang, Aimin Zhou, Changhe Li, Jing Guan, Xuesong Yan, CCFR2: A more efficient cooperative co-evolutionary framework for large-scale global optimization, Information Sciences, 2020, 512: 64-79 (SCI, T1论文)
- [4]Yang, Ming, Mohammad Nabi Omidvar, Li, Changhe, Li, Xiaodong, Cai, Zhihua, Borhan Kazimipour, Yao, Xin, Efficient resource allocation in cooperative co-evolution for large-scale global optimization, IEEE Transactions on Evolutionary Computation, 2017, 21(4): 493-505 (SCI, T1论文, 2016年IF=10.629)
- [5]Yang, Ming, Li, Changhe, Cai, Zhihua, Guan, Jing, Differential evolution with auto-enhanced population diversity, IEEE Transactions on Cybernetics, 2015, 45(2): 302-315 (SCI, T1论文, 2016年IF=7.384, 2017年高被引论文)
- [6]Yang, Ming, Li, Changhe, Guan, Jing, Yan, Xuesong, A supervised-learning p-norm distance metric for hyperspectral remote sensing image classification, IEEE Geoscience and Remote Sensing Letters, 2018, 15(9): 1432-1436 (SCI, T3论文, 2016年IF=2.761)
- [7]Yang, Ming, Guan, Jing, Cai, Zhihua, Li, Changhe, A self-adaptive differential evolutionary algorithm based on population reduction with minimum distance, International Journal of Innovative Computing and Applications, 2014, 6(1): 13-24 (EI, T4论文)
- [8]杨鸣, 康立山, 吴燕来. 动态多目标TSP中动态程度和目标冲突程度的度量, 武汉大学学报信息科学版, 2008, 33(2): 216-219 (EI, T4论文)
- [9]Li, Changhe, Trung Thanh Nguyen, Yang, Ming (通讯作者), Mavrovouniotis, Michalis, Yang, Shengxiang, An adaptive multipopulation framework for locating and tracking multiple optima, IEEE Transactions on Evolutionary Computation, 2016, 20(4): 590-605 (SCI, T1论文, 2016年IF=10.629)
- [10]Li, Changhe, Trung Thanh Nguyen, Yang, Ming (通讯作者), Ming Shengxiang, Zeng, Sanyou, Multi-population methods in unconstrained continuous dynamic environments: The challenges,Information Sciences, 2015, 296: 95-118 (SCI, T1论文, 2016年IF=4.832)
- [11]Li, Changhe, Yang, Shengxiang, Yang, Ming (通讯作者), An adaptive multi-swarm optimizer for dynamic optimization problems, Evolutionary Computation, 2014, 22(4): 559-594 (SCI, T2论文, 2016年IF=3.826)
- [12]Omidvar, M. N., Yang, Ming, Mei, Yi, Li Xiaodong, Yao Xin, DG2: A faster and more accurate differential grouping for large-scale black-box optimization, IEEE Transactions on Evolutionary Computation, 2017, 21(6): 929-942 (SCI, T1论文, 2016年IF=10.629)
- [13]Li, Changhe, Trung Thanh Nguyen, Zeng, Sanyou, Yang, Ming, Wu, Min, An open framework for constructing continuous optimization problems, IEEE Transactions on Cybernetics, 2019, 49(6): 2316-2330 (SCI, T1论文, 2016年IF=7.384)
- [14]Yang, Ming, Guan, Jing, Li, Changhe, Differential evolution with auto-enhanced population diversity: The experiments on the CEC’2016 competition, IEEE Congress on Evolutionary Computation, CEC 2016, Vancouver, Canada, 2016 (EI)
- [15]Yang, Ming, Guan, Jing, Cai, Zhihua, Li, Changhe, A dimensional-level adaptive differential evolutionary algorithm for continuous optimization, Genetic and Evolutionary Computation Conference, GECCO 2014, Vancouver, BC, Canada, 2014 (EI)
- [16]Yang, Ming, Cai, Zhihua, Li, Changhe, Guan, Jing, An improved JADE algorithm for global optimization, IEEE Congress on Evolutionary Computation, CEC 2014, Beijing, China, 2014 (EI)
- [17]Yang, Ming, Guan, Jing, Cai, Zhihua, Li, Changhe, Differential evolution based on population reduction with minimum distance, International Conference on Advanced Computational Intelligence, ICACI 2013, Hangzhou, China, 2013 (EI)
- [18]Yang, Ming, Cai, Zhihua, Li, Changhe, Guan, Jing, An improved adaptive differential evolution algorithm with population adaptation, Genetic and Evolutionary Computation Conference, GECCO 2013, Amsterdam, The Netherlands, 2013 (EI)
- [19]Yang, Ming, Cai, Zhihua, Guan, Jing, Gong, Wenyin, Differential evolution with improved population reduction, Genetic and Evolutionary Computation Conference, GECCO 2011, Dublin, Ireland, 2011 (EI)
- [20]Yang, Ming, Guan, Jing, Cai, Zhihua, Wang, Lu, Self-adapting differential evolution algorithm with chaos random for global numerical optimization, International Symposium on Intelligence Computation and Applications, ISICA 2010, Wuhan, China, 2010 (EI)