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基本信息Personal Information
博士生导师
性别 : 男
出生年月 : 1982-07-01
学历 : 博士研究生毕业
学位 : 博士学位
在职信息 : 在岗
所在单位 : 计算机科学与技术系
入职时间 : 2008-07-01
学科 : 计算机科学与技术
- [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)
- [21]Yang, Ming, Guan, Jing, Dynamic clonal and chaos-mutation evolutionary algorithm for function optimization, International Symposium on Intelligence Computation and Applications, ISICA 2008, Wuhan, China, 2008 (EI)
- [22]Yang, Ming, Kang, Lishan, Guan, Jing, Multi-algorithm co-evolution strategy for dynamic multi-objective TSP, IEEE Congress on Evolutionary Computation, CEC 2008, Hong Kong, China, 2008
- [23]Yang, Ming, Kang, Lishan, Guan, Jing, An evolutionary algorithm for dynamic multi-objective TSP, International Symposium on Intelligence Computation and Application, ISICA 2007, Wuhan, China, 2007 (EI)
- [24]Fang, Zheng, Yang, Ming, Zhang, Guilin, Guan, Jing, A hybrid differential evolutionary algorithm based on the hierarchical clustering, IEEE Congress on Evolutionary Computation, CEC 2016, Vancouver, Canada, 2016 (EI)
- [25]Li, Changhe, Yang, Shengxiang, Yang, Ming, Maintaining diversity by clustering in dynamic environments, IEEE Congress on Evolutionary Computation, CEC 2012, Brisbane, Australia, 2012 (EI)
- [26]Li, Changhe, Yang, Ming, Kang, Lishan, A new approach to solving dynamic traveling salesman problems, International Conference on Simulated Evolution and Learning, SEAL 2006, Hefei, China, 2006 (EI)
- [27]Lei H., Yang M., Guan J., Differential Grouping in Cooperative Co-evolution for Large-Scale Global Optimization: The Experimental Study. In: Bio-inspired Computing: Theories and Applications, BIC-TA 2018, vol. 951, pp. 82-93 (EI, T6论文)

