Chair Professor |College of Engineering, Department of Computer Science and Engineering

Prof. Yuhui Shi is an expert in the field of computational intelligence and the developer of the brain storm optimization (BSO) algorithm. He is also a fellow of IEEE for his contributions to particle swarm optimization algorithms.

 

Prof. Yuhui Shi received his Ph.D. from Southeast University in 1992. After that, he did research in the United States, South Korea, Australia, and other places. He has published many ground-breaking papers with Russell Eberhart and James Kenney, the developer of the particle swarm optimization algorithm, and co-authored the books on Swarm Intelligence and Computational Intelligence: Concepts to Implementations.

Personal Profile

Yuhui Shi

Chair Professor

Computer Science and Engineering

E-mail: shiyh@sustech.edu.cn

Prof. Yuhui Shi is an expert in the field of computational intelligence and the developer of the brain storm optimization (BSO) algorithm. He is also a fellow of IEEE for his contributions to particle swarm optimization algorithms.

Prof. Yuhui Shi received his Ph.D. from Southeast University in 1992. After that, he did research in the United States, South Korea, Australia, and other places. He has published many ground-breaking papers with Russell Eberhart and James Kenney, the developer of the particle swarm optimization algorithm, and co-authored the books on Swarm Intelligence and Computational Intelligence: Concepts to Implementations.

Research Area

Brain Storm Optimization Algorithms; Particle Swarm Optimization Algorithms; Swarm Intelligence; Evolutionary Computation, Machine Learning; Computational Intelligence; Artificial Intelligence; Data Science; Intelligent System

Educational Background

1989.01-1992.10, Southeast University, Ph.D.

1986.09-1988.12, Chongqing University, M.S.

1980.09-1984.07, Hunan University, B.S. 

Professional Experience

2016.09- Present,  Chair Professor, Department of Computer Science and Engineering, Southern University of Science and Technology, China;

2008.01-2016.08,  Professor, Department of Electrical and Electronic Engineering, Xian Jiaotong-Liverpool University, China;

1998.10-2007.12,  Applied Specialist , Electronic Data Systems, Inc., USA;

1997.06-1998.09,  Research Scientist, Department of Electrical and Computer Engineering, Indiana University Purdue University Indianapolis, USA;

1995.10-1997.05,  Post-Doctoral Fellow, Department of Electrical and Computer Engineering, Indiana University Purdue University Indianapolis, USA;

1995.01-1995.09,  Post-Doctoral Fellow, Department of Computer Science, Korea Advanced Institute of Science and Technology, South Korea;

1994.05-1994.12,  Visiting Fellow, Department of Computer Science, Australian Defence Force Academy (University of New South Wales), Australia;

1993.05-1994.04,  Post-Doctoral Fellow, Department of Electrical and Computer Engineering, Concordia University, Canada;

1992.10-1993.04,  Lecturer, Department of Radio Engineering, Southeast University, China;

1984.08-1986.08,  Associate Lecturer, Department of Electrical Engineering, Jiangsu University, China.

Honors & Awards

IEEE Fellow

Selected Publication

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 ShiMulti-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 ShiDistributed 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 ShiSpark 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 ShiSolving 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 ShiParticle 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 ShiCooperative 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.

Research

Brain Storm Optimization Algorithm, Particle Swarm Optimization Algorithm, Swarm Intelligence, Evolutionary Computation, Machine Learning, Computational Intelligence, Artificial Intelligence,Data Science, Data System.


Teaching

Embedded System, Algorithm Design.

 


Publications Read More

Prof. Yuhui Shi has made many academic achievements in the fields of swarm intelligence and computational intelligence. The proposed algorithm “A modified particle swarm optimizer” co-authored with Russell Eberhart has been used by most researchers of particle swarm optimization algorithms. Prof. Yuhui Shi is also the developer of brain storm optimization algorithm. So far, he has published more than 200 papers on the top-level international academic journals and conferences, and the citations of google scholar are more than 58000 with an H-index of 49. He is the Associate Editor of IEEE Transactions on Evolutionary Computation and the Editor-in-Chief of International Journal of Swarm Intelligence Research.

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Postdoctoral Fellow in Artificial Intelligence
Responsibility:
There are two post-doctoral fellow positions available in the artificial intelligence research group in the Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China. The successful applicants will be expected to work in research areas related to swarm intelligence, evolutionary computation, machine learning, big data, intelligent robots, intelligent logistics, intelligent transportation, and smart grid. The salary will be internationally competitive. The positions will be kept open until they are filled. For application, please submit a cover letter, a comprehensive CV, and three reference letters to Prof.
Requirement:
The successful applicants must have a PhD in Computer Science and Engineering, Mathematics, or a related discipline completed at the start date of his/her appointment, and must have research experience on any of research areas related to swarm intelligence, evolutionary computation, machine learning, big data, intelligent robots, intelligent logistics, intelligent transportation, and smart grid.
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Contact Address

No 1088,xueyuan Rd., Nanshan District,Shenzhen,Guangdong,China 518055

Office Phone

0755-88015115

Email

shiyh@sustech.edu.cn

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