史玉回Google Scholar ResearcherID

讲席教授 计算机科学与工程系
史玉回教授是国际计算智能领域专家，是头脑风暴优化算法创始人，美国电子电气工程师协会会士（IEEE Fellow）。
史玉回教授1992年博士毕业于东南大学并留校任教，先后在美国、韩国、澳大利亚等地从事研究工作，在美国期间，曾与粒子群优化算法创始人James Kenney 和Russell Eberhart合作发表过多篇奠基性学术论文，是英文专著《群体智能》和《计算智能：从概念到实现》的作者之一。
个人简介史玉回

讲席教授
计算机科学与工程系
E-mail:?shiyh@sustech.edu.cn
史玉回教授是国际计算智能领域专家，是头脑风暴优化算法创始人，美国电子电气工程师协会会士（IEEE Fellow）。
史玉回教授1992年博士毕业于东南大学并留校任教，先后在美国、韩国、澳大利亚等地从事研究工作，在美国期间，曾与粒子群优化算法创始人James Kenney 和Russell Eberhart合作发表过多篇奠基性学术论文，是英文专著《群体智能》和《计算智能：从概念到实现》的作者之一。
研究方向
头脑风暴优化算法；粒子群优化算法；群体智能；机器学习；计算智能；人工智能；智能系统；群体机器人
教育背景
1989年1月-1992年10月，东南大学无线电工程系，博士
1986年9月-1988年12月，重庆大学电气工程系，硕士
1980年9月-1984年7月，湖南大学电气工程系，学士
工作经历
2016年9月至今，南方科技大学计算机科学与工程系讲席教授
2008年1月-2016年8月，西交利物浦大学电子与电气工程系教授
1998年10月-2007年12月，美国电子数据系统公司（现惠普公司）应用专家
1997年6月-1998年9月，美国Indiana University Purdue University Indianapolis电气与计算机工程系研究员
1995年10月-1997年5月，美国Indiana University Purdue University Indianapolis电气与计算机工程系博士后
1995年1月-1995年9月，韩国科学技术院计算机系博士后
1994年5月-1994年12月，澳大利亚ADFA（新南威士大学）计算机系访问****
1993年5月-1994年4月，加拿大Concordia大学电气与计算机工程系博士后
1992年10月-1993年4月，东南大学无线电工程系讲师
1984年8月-1986年8月，江苏大学电气工程系助教
荣誉与奖项
IEEE Fellow
代表文章
1.?Lianbo Ma, Rui Wang, Shengminjie Chen, Shi Cheng, Xingwei Wang, Zhiwei Lin, Yuhui Shi, Min Huang, A novel many-objective evolutionary algorithm based on transfer matrix with Kriging model, Information Sciences, 509:?437-456 (2020).
2.?Kashif Hussain,?Mohd. Najib Mohd. Salleh,?Shi Cheng,?Yuhui Shi,?Metaheuristic research: a comprehensive survey.?Artificial Intelligence Review 52 (4), 2191-2233, (2019).
3.?Farhad Pourpanah,?Yuhui Shi,?Chee Peng Lim,?Qi Hao,?Choo Jun Tan, Feature selection based on brain storm optimization for data classification,?Applied Soft Computing 84, 105726, (2019).
4.?Lyu, Chao., Shi, Yuhui, & Sun, Lijun,. A Novel Local Community Detection Method Using Evolutionary Computation.?IEEE transactions on cybernetics. (2019).
5.?Hui Lu,?Rongrong Zhou,?Shi Cheng,?Yuhui Shi:?Multi-center variable-scale search algorithm for combinatorial optimization problems with the multimodal property.?Appl. Soft Comput.?84?(2019).
6.?Farhad Pourpanah,?Chee Peng Lim,?Xizhao Wang,?Choo Jun Tan,?Manjeevan Seera,?Yuhui Shi,?A hybrid model of fuzzy min-max and brain storm optimization for feature selection and data classification.?Neurocomputing?333:?440-451?(2019).
7.?Shi Cheng,?Junfeng Chen,?Xiujuan Lei,?Yuhui Shi,?Locating Multiple Optima via Brain Storm Optimization Algorithms.?IEEE Access?6:?17039-17049?(2018).
8.?Geng Zhang,?Yangmin Li,?Yuhui Shi:?Distributed learning particle swarm optimizer for global optimization of multimodal problems.?Frontiers Comput. Sci.?12(1):?122-134(2018).
9.?Shi Cheng,?Junfeng Chen,?Quande Qin,?Yuhui Shi,?Population diversity of particle swarm optimisation algorithms for solving multimodal optimisation problems.?IJCSE?17(1):?69-79?(2018).
10.?Qiqi Duan,?Lijun Sun,?Yuhui Shi:?Spark Clustering Computing Platform Based Parallel Particle Swarm Optimizers for Computationally Expensive Global Optimization.?PPSN :?424-435. (2018).
11.?Quande Qin,?Shi Cheng,?Xianghua Chu,?Xiujuan Lei,?Yuhui Shi:?Solving non-convex/non-smooth economic load dispatch problems via an enhanced particle swarm optimization.?Appl. Soft Comput.59:?229-242?(2017).
12.?Yonggang Chen,?Lixiang Li,?Haipeng Peng,?Jinghua Xiao,?Yixian Yang,?Yuhui Shi:?Particle swarm optimizer with two differential mutation.?Appl. Soft Comput.?61:?314-330?(2017).
13.?Lianbo Ma,?Shi Cheng,?Xingwei Wang,?Min Huang,?Hai Shen,?Xiaoxian He,?Yuhui Shi:?Cooperative two-engine multi-objective bee foraging algorithm with reinforcement learning.?Knowl.-Based Syst.?133:?278-293?(2017)
14.?Yali Wu,?Ge Liu,?Xiaoping Guo,?Yuhui Shi,?Lixia Xie:?A self-adaptive chaos and Kalman filter-based particle swarm optimization for economic dispatch problem.?Soft Comput.?21(12):?3353-3365?(2017).
15.?Junfeng Chen,?Yingjuan Xie,?Hua Chen,?Qiwen Yang,?Shi Cheng,?Yuhui Shi,?An improved extremal optimization based on the distribution knowledge of candidate solutions.?Natural Computing?16(1):?135-149(2017).
16. Quande Qin, Shi Cheng, Qingyu Zhang, Li Li, and Yuhui Shi, Particle Swarm Optimization With Interswarm Interactive Learning Strategy, IEEE Transactions on Cybernetics, VOL. 46, NO. 10, October 2016.
17. Shi Cheng, Quande Qin, Junfeng Chen, and Yuhui Shi, Brain storm optimization algorithm: a review, Artificial Intelligence Review, First online: 26 February 2016.
18. Yali Wu, Ge Liu, Xiaoping Guo, Yuhui Shi, and Lixia Xie, A self-adaptive chaos and Kalman filter-based particle swarm optimization for economic dispatch problem, Soft Computing, DOI 10.1007/s00500-015-2013-x
19. Zhengxuan Jia, Haibin Duan, Yuhui Shi, Hybrid Brain Storm Optimization and Simulated Annealing Algorithm for Continuous Optimization Problems, International Journal of Bio-Inspired Computation, Vol.8, No.2, 2016, pp.109-121.?
20. Haibin Duan, Pei Li, Yuhui Shi, Xiangyin Zhang, and Changhao Sun, Interactive Learning Environment for Bio-Inspired Optimization Algorithms for UAV Path Planning, IEEE Transactions on Education, Vol. 58, No.4, November 2015, pp.276-281.
21. Shi Cheng, Quande Qin, Yuhui Shi, Qingyu Zhang, and Ruibin Bai, Analytics on Fireworks Algorithm Solving Problems with Shift in Decision Space and Objective Space, International Journal of Swarm Intelligence Research (IJSIR), 6(2), 36-54.
22. Quande Qin, Shi Cheng, Qingyu Zhang, Li Li, and Yuhui Shi (2015). Biomimicry of Bio-parasitic Behavior in Coevolutionary Particle Swarm Optimization. Applied Soft Computing, Volume 32, July 2015, Pages 224–240.
23. Quande Qin, Shi Cheng, Qingyu Zhang, Li Li, and Yuhui Shi, Artificial Bee Colony Algorithm with Time-Varying Strategy, Discrete Dynamics in Nature and Society, vol. 2015, Article ID 674595, 17 pages, 2015.
24. Huaxin Qiu, Haibin Duan, Yuhui Shi, A decoupling receding horizon search approach to agent routing and optical sensor tasking based on brain storm optimization, Journal Optik 126 (2015) 690–696, Elsevier.
25. Quande Qin, Shi Cheng, Qingyu Zhang, Yiming Wei, Yuhui Shi，Multiple strategies based orthogonal design particle swarm optimizer for numerical optimization，Computers & Operations Research，60(2015), pp.91-110.
26. Shi Cheng, Yuhui Shi, Quande Qin, Qingyu Zhang and Ruibin Bai, Population diversity maintenance in brain storm optimization algorithm, JAISCR, 2014, Vol. 4, No. 2, pp. 8 3 -97.
27. Yuting Yang, Yuhui Shi, Shunren Xia. Advanced discussion mechanism-based brain storm optimization algorithm, Soft Computing, October 2015, Volume 19, Issue 10, pp 2997-3007. ?
28. Yuhui Shi, Developmental Swarm Intelligence, International Journal of Swarm Intelligence Research (IJSIR), 5(1), 36-54.
29. Yuhui Shi, Jingqian Xue, & Yali Wu (2013), Multi-Objective Optimization Based on Brain Storm Optimization Algorithm. International Journal of Swarm Intelligence Research (IJSIR), 4(3), 1-21.
30. Weineng Chen, Jun Zhang, Ying Lin, Ni Chen, Zhihui Zhan, Henry Shu-hung Chung, Yun Li, and Yuhui Shi, Particle Swarm Optimization with an Aging Leader and Challengers, ?IEEE Transactions on Evolutionary Computation, vol.17, no.2, pp.241-258, April 2013.
31. Changhao Sun， Haibin Duan，and Yuhui Shi，Optimal Satellite Formation Reconfiguration Based on Closed-loop Brain Storm Optimization， IEEE Computational Intelligence Magazine, November 2013
32. Haibin Duan, Shuangtian Li, and Yuhui Shi, Predator-Prey Brain Storm Optimization for DC Brushless Motor, IEEE Transactions on Magnetics, Vol.49, No.10, October 2013?
33. Jinghui Zhong, Meie Shen, Jun Zhang, Henry Shu-Hung Chung, Yuhui Shi, and Yun Li, A Differential Evolution Algorithm with Dual Populations for Solving Periodic Railway Timetable Scheduling Problem, IEEE Transactions on Evolutionary Computation, Vol. 17, No.4, August 2013.
34. Haibin Duan, Qinan Luo, Yuhui Shi, and Guanjun Ma, Hybrid particle swarm optimization and genetic algorithm for multi-UAV formation reconfiguration, IEEE Computational Intelligence Magazine, pp. 16-27, August 2013
35. Zhihui Zhan, Jingjing Li, Jiannong Cao, Jun Zhang, Henry Shu-Hung, Yuhui Shi, Multiple Population for Multiple Objectives: A Coevolutionary Technique for Solving Multiobjective Optimization Problems, IEEE Transactions on Systems, Man, and Cybernetics – Part B: Cybernetics, Vol.43, No.2, April 2013
36. Yang Lou , Junli Li , Yuhui Shi and Linpeng Jin (2013): Gravitational Co-evolution and Opposition-based Optimization Algorithm, International Journal of Computational Intelligence Systems, 6:5, 849-861?
37. Shi Cheng, Yuhui Shi, and Quande Qin, Population Diversity of Particle Swarm Optimizer Solving Single and Multi-Objective Problems, International Journal of Swarm Intelligence Research, Vol.3, No.4, pp.24-61, December, 2012
38. Shi Cheng, Yuhui Shi, and Quande Qin, A Study of Normalized Population Diversity in Particle Swarm Optimization, International Journal of Swarm Intelligence Research, Vol.4, No.1, pp.1-34, , 2013
39. Yuejiao Gong, Jun Zhang, Henry Shu-hung Chung, Weineng Chen, Zhihui Zhan, Yun Li, and Yuhui Shi, An Efficient Resource Allocation Scheme Using Particle Swarm Optimization, IEEE Transactions on Evolutionary Computation, vol. 16, no. 6, December 2012, pp.801-816
40. Xiaodan Zhang, Yifeng Zhang, Yuhui Shi, Li Zhao, Cairong Zou, Power Control Algorithm in Cognitive Radio System Based on Modified Shuffled Frog Leaping Algorithm, International Journal of Electronics and Communication, Vol. 66, No. 6 (2012) pp.448-454
41. Junli Li, Yang Lou, and Yuhui Shi, An Optimization Algorithm Based on Binary Difference and Gravitational Evolution, International Journal of Computational Intelligence Systems, Volume 5, Issue 3, May, 2012?
42. Ying Lin, Jun Zhang, Henry Shu-Hung Chung, Wai Hung Ip, Yun Li, and Yuhui Shi, An Ant Colony Optimization Approach for Maximizing the Lifetime ?of Heterogeneous Wireless Sensor Networks, IEEE Transactions on Systems, Man, and Cybernetics – Part C: Applications and Reviews, Vol.42, No.3, May 2012.
43. Yuejiao Gong, Jun Zhang, Ou Liu, Ruizhang Huang, Henry Shuhung Chung, and Yuhui Shi, Optimizing Vehicle Routing Problem with Time Windows: A Discrete Particle Swarm Optimization Approach, IEEE Transactions on Systems, Man, and Cybernetics – Part C: Applications and Reviews, vol.42 no.2, pp.254-267, March 2012.
44. Yuhui Shi, An Optimization Algorithm Based on Brainstorming Process, International Journal of Swarm Intelligence Research, Vol.2, No.4, pp.35-62, December, 2011?
45. Shi Cheng, Yuhui Shi, and Quande Qin, ?Experimental Study on Boundary Constraints Handling in Particle Swarm Optimization: From Population Diversity Perspective, International Journal of Swarm Intelligence Research, Vol.2, No.3, pp.35-62, September, 2011?
46. Zhihui Zhan，Jun Zhang，Yun Li，Yuhui Shi, Orthogonal Learning Particle Swarm Optimization, IEEE Transactions on Evolutionary Computation, vol.15, No.6, December 2011, pp.832-847
47. Jun Zhang, Zhihui Zhang, Ying Li, Ni Chen, Yuejiao Gong, Jinghui Zhong, Henry S.H. Chung, Yun Li, Yuhui Shi, Evolutionary Computation Meets Machine Learning: A Survey, IEEE Computational Intelligence Magazine, Vol. 6, No. 4, November 2011, pp. 68-75.
48. Zexuan Zhu, Jiwrui Zhou, Zhen Ji, and Yuhui Shi, DNA Sequence Compression Using Adaptive Particle Swarm Optimization Based Memetic Algorithm, IEEE Transactions on Evolutionary Computation, Vol.15, No.5, October 2011, pp.643-658
49. Xiaomin Hu, Jun Zhang, Henry Chung, Yuanlong Li, and Yuhui Shi, Hybrid Genetic Algorithm Using a Forward Encoding Scheme for Lifetime Maximization of Wireless Sensor Networks, IEEE Transactions on Evolutionary Computation, vol.14, No.5, October 2010, pp.766-781
50. Weineng Chen, Jun Zhang, Henry Chung, Wenliang Zhong, Weigang Wu, and Yuhui Shi, A Novel Set-Based Particle Swarm Optimization Method for Discrete Optimization Problems, IEEE Transactions on Evolutionary Computation ,vol.14, No.2, April 2010, pp.278-300. ?
51. Chunguo Li, Luxi Yang, and Yuhui Shi, An Asymptotically Optimal Cooperative Relay Scheme for Two-Way Relaying Protocol, IEEE Signal Processing Letters, vol. 17, issue 2, 2010, pp. 145-148.
52. Yuhui Shi and Russ Eberhart, Monitoring of Particle Swarm Optimization, Frontiers of Computer Science in China, vol. 3, no. 1, March 2009, pp.31-37.

个人简介

研究领域头脑风暴优化算法；粒子群优化算法；群体智能；机器学习；计算智能；人工智能；智能系统；群体机器人

---

教学嵌入式系统，算法分析和设计。

---

学术成果 查看更多史玉回教授在群体智能，计算智能等领域已取得诸多学术成果。与Eberhart教授1998年提出的改进型粒子群算法长期以来为大多数粒子群算法研究者所用。是头脑风暴优化算法的创始人。迄今为止，已在国际顶尖学术期刊及会议发表论文200余篇，谷歌总引用次数超过58000次,H-指数为49。担任国际顶级杂志《IEEE Transactions on Evolutioanry Computation》副主编，《International Journal of Swarm Intelligence Research》主编。





团队成员 查看更多








加入团队 Array
人工智能研究方向博士后岗位职责：
进行群体智能、演化计算、机器学习、大数据、智能机器人、智能物流、智能交通、智能电网等方向的研究与开发，发表学术论文、撰写项目申请、申请相关专利，协助指导本科生、硕士研究生、和博士研究生。
招聘条件:
1、 具有知名大学计算机/数学等相关专业的博士学位；
2、 具有群体智能、演化计算、机器学习、大数据、智能机器人、智能物流、智能交通、智能电网等相关领域的研究或开发经验；
3、工作认真、主动、有上进心；
4、有良好的专业英文听、说、写能力

查看更多