Professor Hao received the B.Sc. in Exploration Engineering, M.Sc., and Ph.D. degrees, both in Control Theory and Application, all from China University of Mining and Technology, Xuzhou, China, in 1997, 2005, and 2009, respectively. In 1999, he joined the School of Computer Science and Technology, Jiangsu Normal University where he became an Associate Professor in 2009, Professor in 2017. Since 2009, he has been the director of the Intelligent Computing Lab in the school. His current research interests include evolutionary computation, big data and software design. He is the author of “Theory and Application of Interactive Evolutionary Computation” (in Chinese, CUMT Press, 2016) and the co-author of “Interactive Evolutionary Theory and Methods Solving Optimization Problem with Implicit Indices” (in Chinese, Zhengzhou University Press) and “Principle and Application of Interactive Genetic Algorithm” (in Chinese, 2007). Besides, he coauthored in more than 40 journal and conference papers.
Research Interests
Evolutionary computation
Big data and software design
Educational Background
Visiting research fellow, Computational Intelligence Research Laboratory, School of Computer Engineering, Nanyang Technological University, Singapore, Apr 2014-Apr 2015.
PhD, Student in China University of Mining and Technology, 2009.
MSc, China University of Mining and Technology, 2005.
Second BS, China University of Mining and Technology, 1999.
BS, Undergraduate student in China University of Mining and Technology, 1997.
Research Projects in recent years
1.Natural Science Foundation of China, Research on Personal-feature Big-data Supported Interactive Evolutionary Computation and its Application, 2017;
2.Jiangsu Province Natural Science Foundation. Research on Users' Dynamic Cognition in Interactive Evolutionary Computation and Its Application in the Optimization of Appearance of Pages with HTML5, 2016;
3.Trust Project of ZhangJi Coal Enterprises, Research on Management Information System of Examination, 2010;
4.Cultivating Natural Science Foundation of Jiangsu Normal University (No. 06PYL06). Research on the Key Technology and Application of the Interactive Control of the Evolution of Complex Adaptive System.”, 2010;
5.Natural Science Foundation of Jiangsu Normal University (No. 2005XGA03). Research on the Theory and Application of Interactive Evolutionary Computation Based on the Information Flow, 2008;
Selected Publications
Journal papers
1.Hao Guo-Sheng, Wang Gai-Ge, Pan Jian-Han, Zhang Zhao-Jun, Zou De-Xuan. Optimization of the High Order Problems in Evolutionary Algorithms-An Application of Transfer Learning, International Journal of Wireless and Mobile Computing. 2017, Under Processing.
2.Hao Guo-Sheng, Yang Mao-Yun, Han Yu-Qiang, et al. Construction and Application of the Lexis Semantic Interpretation Space Based on Corpus. Journal of Jiangsu University of Science and Technology (Natural Science Edition), 2017, Accepted.
3.Hao Guo-Sheng, Zhao Xiang-Jun, Wei Kai-Xia, Ren Shi-Jin. Description of Evolutionary Computation Based on Graph Theory. Journal of computational information systems. 2010, 6(2):653-660.
4.Hao Guo-Sheng, Shi You-Qun, Huang Yong-Qing, LV Jun-Huai, Guo Guang-Song. Interactive evolutionary computation with fitness noise and its convergence robustness. Journal of Software. 2007, 18(9): 2183-2193. (in Chinese)
5.Hao Guo-Sheng, Zhang Yong, SHI Ming-Hui, Zhang Jian-Hua, Shi You-Qun. Interactive Genetic Algorithm Based on Extinction Mechanism. Control Theory and Application.2006,23(5)：665-670.(in Chinese)
6.Hao Guo-Sheng, Gong Dun-Wei, SHI You-Qun, Sun Xiao-Yan. Method of Replacing the User with Machine in Interactive Genetic Algorithm. Pattern Recognition and Artificial Intelligence. 2006,20(1):111-115. (in Chinese)
7.Hao Guo-Sheng, Gong Dun-Wei, SHI You-Qun, Wang Li. Interactive genetic algorithm based on landscape of satisfactory and taboos. Journal of China University of Mining and Technology.2005,34(2):204-208. (in Chinese)
8.Hao Guo-Sheng, Huang Yong-Qing, Zhang Yong, Yan Jun-Rong. Rational User-A Sufficient Condition for Global Convergence in Interactive Evolutionary Computation. Pattern Recognition and Artificial Intelligence.2008，21(4):441-445. (in Chinese)
9.Hao Guo-Sheng, Gong Dun-Wei, SHI You-Qun, Zhang Yong, Liu Tai-Hu. Relation Algebra Based Genetic Algorithm Model and Its Application. Journal of Southeast University. 2004,34(supp) ,58-62.(in Chinese)
10.Hao Guo-Sheng, Gong Dun-Wei, Shi You-Qun. Search Space Partition Based on Autonomous Genetic Algorithm and Its Application. Journal of Hangzhou University of Electronic Science and Technology. 2005,25(5):6-9. (in Chinese)
11.Hao Guo-Sheng, Yan Yu-Ruo, Hu Pei-Liang, Zhang Lei, Lu Juan, Ji Jun. Trigonometric Selective Operation in Genetic Algorithm. Journal of Jiangnan University.2010, 19(2):162-165. (in Chinese)
12.Hao Guo-Sheng, Huang Yong-Qing, Yan Zhi-Gang, Wei Kai-Xiang, Jiang Jing-Jing, Gao Yan. Maximum Generation for User to Keep Rationality in Interactive Evolutionary Computation. Pattern Recognition and Artificial Intelligence.2010, 23(6):781-785. (in Chinese)
13.Hao Guo-Sheng, Zhao Xiangjun, Wu Jia-Wei, Huang Yong-Qing. Scheme of Interactive Evoking and Evolution of Creative Ideas Based on Interactive Evolutionary Computation. Applied Mechanics and Materials, 2011, 48-49:1006-1009.
14.Hao Guo-Sheng, Zhao Xiang-Jun, Huang Yong-Qing. Users' Fuzzy Cognition Knowledge Learning in Interactive Evolutionary Computation and Its Application. Applied Mechanics and Materials, 2011, 204-210 :245-250.
15.Gong Dun-Wei, Hao Guo-Sheng, Zhou Yong, Sun Xiao-Yan. Interactive Genetic Algorithms with Multi-Population Adaptive Hierarchy and Their Application in Fashion Design. Applied Mathematics and Computation 2007,185: 1098-1108.
16.HAO Guo-Sheng, Lim Meng-Hiot, Ong Yew-Soon, Wang Gai-Ge, Yan Jun-Rong, Zhang Zhao-Jun, Zou De-Xuan. Domination Relationship Landscape: A Powerful Expression Tool for Optimization Algorithms, in processing.
Conference papers
17.Wang Gai-Ge, Hao GuoSheng, Cheng Shi,Shi Yuhui, Cui Zhihua. An Improved Brain Storm Optimization Algorithm Based on Graph Theory. 2017 Congress on Evolutionary Computation, 509-515.
18.Hao Guo-Sheng, Wang Gai-Ge, Zhang Zhao-Jun, Zou De-Xuan. Comparison of Swarm Intelligence Algorithms: From A Viewpoint of Learning Scheme. 2017 2nd International Conference on Artificial Intelligence Techniques and Applications. in processing.
19.Hao Guo-Sheng, Wang Gai-Ge, Zhang Zhao-Jun, Zou De-Xuan. Comparison of GA-Based Algorithms: From A Viewpoint of Learning Scheme. International Conference on Simulated Evolution and Learning, 2017, under processing.
20.Hao Guo-sheng, Guo Na, Wang Gai-ge, Zhang Zhao-Jun, Zou De-xuan. Scheme of Big-Data Supported Interactive Evolutionary Computation, 2017 2nd International Conference on Information Technology and Management Engineering (ITME 2017), Beijing, 14-19.
21.Hao Guo-Sheng, Chen Chang-Shuai, Ling Ping, et al. Learning Matrix of Evolutionary Operators in Genetic Algorithm, International Conference on Information and Automation, August, 8-10, Lijiang, China, 2015
22.Hao Guo-Sheng, Chen Chang-Shuai, Wang Gai-Ge, Huang Yong-Qing, et al. Efficiency Metrics for Evolutionary Algorithms and Application, International Conference on Intelligent Computation, vol. 2, 1-12, August, 20-23, Fuzhou, China,2015.
23.Hao Guo-Sheng, Chen Chang-Shuai, Wang Gai-Ge, Ling Ping, Liu Ya-Li, et al. Offline Determinations of Parameter Values of Population Size, Terminal Generation Number and Mutation Rate in Genetic Algorithm, International Conference on Natural Computation, August, 15-18, Zhangjiajie, China, 2015.
24.Hao Guo-Sheng, Liu Lili, Kong Li-Fang. Gradual Drifting of the User's Preference in Interactive Evolutionary Computation and Its Application. Proceedings of International Conference on Computer Science and Service System. August 11-13, 2012: 1832-1835.
25.Hao Guo-Sheng, Yin Yu-Chen, Wei Kai-Xia, Gong Gu, Hu Xiao-Ting. Parameters Selection of Fitness Scaling in Genetic Algorithm and Its Application. Chinese Control and Decision Conference. Xuzhou, China, Jun 18-21，2010: 2475-2480.
26.Hao Guo-Sheng，Gong Dun-Wei，Yuan Jie，Yan Yu-Ruo，Yan Jun-Rong. User’s Attention Knowledge Learning in Interactive Evolutionary Computation. Chinese Control and Decision Conference，GuiLin，China，Jun 18-21，2009: 4270-4275.
27.Hao Guo-Sheng，Huang Yong-Qing，Yan Jun-Rong. System Analysis of Interactive Genetic Algorithm，Chinese Control and Decision Conference. YanTai，China，Jun 2-4，2008: 5175-5180.
28.Hao Guo-Sheng, G Dun-Wei, Sun Xiao-Yan, Zhang Yong, Ling Ping. Evolution Control of Complex Adaptive System Based on Genetic Algorithm. Proceedings of the International Conference on Complex Systems and Applications——Modeling, Control and Simulations. Jinan, China, June 8-10, 2007:926-929.
29.Hao Guo-sheng, Gong Dun-Wei, Huang Yong-Qing. Interactive Genetic Algorithms Based on Estimation of User’s Most Satisfactory Individuals. Sixth International Conference on Intelligent Systems Design and Application. IEEE Computer Science. Jinan, China. Vol (III): 2006, 132-137.
30.Hao Guo-Sheng, Huang Yong-Qing, Gong Dun-Wei, Guo Guang-Song, Zhang Yong. Fitness Noise in Interactive Evolutionary Computation and the Convergence Robustness. Sixth International Conference on Intelligent Systems Design and Application. IEEE Computer Science. Jinan, China. 2006, Vol (I): 429-434.
Books
Hao Guo-Sheng. “Basic Theory and Its Application of Interactive Evolutionary Computation”. Xuzhou: China University of Mining Technology Publishing Corporation, 2016
Guo Guang-Song, Hao Guo-Sheng “Interactive Evolutionary Theory and Methods Solving Optimization Problem with Implicit Indices Optimization”. Zhengzhou: Zhengzhou University Publishing Corporation, 2016.
Gong Dun-Wei, Hao Guo-Sheng, Zhou Yong, Guo Yi-Nan. Theory and Application of Interactive Genetic Algorithm. Beijing: National Defense Industry Publishing Corporation. 2007.
Honors and Awards
Excellent Guide Teacher Award in the National Programming Competition entitled Blue Bridge, 2012
Excellent Member of Jiangsu Province Computer Society, 2016
Second Prize, Outstanding Doctoral Candidate, 2007
Excellent undergraduate advisor, 2009,2010,2012,2013