Hai-Lin Liu

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Research Interests

  • Multiobjective Optimization

  • Evolutionary Computation

  • Machine Learning

Professional Preparation

  • 2002 Ph.D., Control theory and Engineering, South China University of Technology, Guangzhou, China

  • 1989 M.S., M.S. Applied Mathematics, Xidian University, Xi’an, China

  • 1984 B.S., Mathematics, Henan Normal University, Xinxiang, China.

Appointments

  • 2003 – present Professor, Department of Applied Mathematics, Guangdong University of Technology, Guangzhou, China
  • 2002 – 2004 Post-doctor, School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China
  • 1996 – 1998 Associate Professor, Department of Applied Mathematics, Guangdong University of Technology, Guangzhou, China
  • 1994 – 1996 Lecturer, Department of Applied Mathematics, Guangdong University of Technology, Guangzhou, China
  • 1990 – 1994 Lecturer, Department of Applied Mathematics, Xi’an University of Technology, Xi’an, China
  • 2015—2017 Visiting Researcher, Beacon Center for the Study of Evolution in Action, Michigan State of University, USA
  • 2009 – 2009 Visiting Professor, Computer Science, Hong Kong Baptist University, Hong Kong
  • 2007 – 2007 Visiting Researcher, Computer Science, Hong Kong Baptist University, Hong Kong
  • 2006 – 2006 Visiting Researcher, Faculty of Engineering, University of Nottingham, UK

Awards

  • 11th International Conference on Simulated Evolution And Learning(SEAL2017) BEST PAPER AWARD
  • 2005 IEEE International Workshop on VLSI Design and Video Technology BEST PAPER AWARD

Publications

  1. Ning Yang, Hai-Lin Liu，Jiawei Yuan. "Performance Investigation of Iϵ-indicator and Iϵ+-indicator Based on Lp-norm". Neurocomputing, 2020, Online.

  2. Qiang Wang, Hai-Lin Liu. "Optimized Joint Resource Allocation for NOMA MIMO-based Wireless Powered Sensor Networks". International Journal of Sensor Networks, 2020, Online.

  3. Zhenhua Li, Xi Lin, Qingfu Zhang, Hai-Lin Liu. "Evolution strategies for continuous optimization: A survey of the state-of-the-art". Swarm and Evolutionary Computation. 2020, 56:1-14.

  4. Lei Chen, Kalyanmoy Deb, Hai-Lin Liu, Qingfu Zhang. "Effect of objective normalization and penalty parameter on penalty boundary intersection decomposition based evolutionary many-objective optimization algorithms". Evolutionary Computation, 2020, Online.

  5. Jiawei Yuan, Hai-Lin Liu, Fangqing Gu, Qingfu Zhang, Zhaoshui He. "Investigating the Properties of Indicators and an Evolutionary Many-objective Algorithm Based on a Promising Region". IEEE Transaction on Evolutionary Computation, 2020, Online.

  6. Chaoda Peng, Hai-Lin Liu, Erik D. Goodman. "A cooperative evolutionary framework based on an improved version of directed weight vectors for constrained multiobjective optimization with deceptive constraints". IEEE Transactions on Cybernetics, 2020, Online.

  7. Chaoda Peng, Hai-Lin Liu, and Erik D. Goodman. "Handling multi-objective optimization problems with unbalanced constraints and their effects on evolutionary algorithm performance". Swarm and Evolutionary Computation. 2020, 55:1-12.

  8. Jiabin Lin, Hai-Lin Liu, Kay Chen Tan, Fangqing Gu. "An Effective Knowledge Transfer Approach for Multiobj-ective Multitasking Optimization". IEEE Transactions on Cybernetics, 2020, Online.

  9. Jiabin Lin, Hai-Lin Liu, Bing Xue, Fangqing Gu. "Multi-objective multi-tasking optimization based on incremental learning". IEEE Transaction on Evolutionary Computation, 2020, Online.

  10. Weisen Tang, Hai-Lin Liu, Lei Chen, Kay Chen Tan, Yiu-ming Cheung. "Fast hypervolume approximation scheme based on a segmentation strategy". Information Sciences, 2020, 509: 320-342.

  11. Lei Chen, K.Deb, Hai-Lin Liu. "Explicit Control of Implicit Parallelism in Decomposition-Based Evolutionary Many-Objective Optimization Algorithms". IEEE Computation Intelligence Magazine, 2019, 52-64.

  12. Qiang Wang, Hai-Lin Liu, Fangqing Gu. "Relay node deployment for wireless sensor networks using evolutionary multi-objective algorithm". International Journal of Sensor Networks, 2019, 31(3): 189-197.

  13. Lei Chen, Hai-Lin Liu, Weiseng Tang. "Multi-objective evolutionary triclustering with constraints of time-series gene expression data". Integrated Computer-Aided Engineering, 2019, 26(4): 399–410.

  14. Yifan Li, Hai-Lin Liu, E. D. Goodman. "Hyperplane-approximation-based method for many-objective optimization problems with redundant objectives". Evolutionary Computation, 2019, 27(2): 313-344.

  15. Lei Chen, Hai-Lin Liu, Kay Chen Tan, Yiu-Ming Cheung, Yuping Wang. "Evolutionary many-objective algorithm using decomposition-based dominance relationship". IEEE Transactions on Cybernetics, 2019, 49(12): 4129-4139.

  16. Qiang Wang, Hai-Lin Liu, Jiawei Yuan, Lei Chen. "Optimizing the energy-spectrum efficiency of cellular systems by evolutionary multi-objective algorithm". Integrated Computer-Aided Engineering, 2019, 26(2): 207–220.

  17. Hai-Lin Liu, Lei Chen, Qingfu Zhang, K. Deb, "Adaptively Allocating Search Effort in Challenging Many-Objective Optimization Problems. IEEE Transaction on Evolutionary Computation, 22 (3): 433-448, 2018

  18. Hai-Lin Liu, Lei Chen, K. Deb and E. Goodman, "Investigating the Effect of Imbalance between Convergence and Diversity in Evolutionary Multiobjective Algorithms. IEEE Transactions on Evolutionary Computation 21.3 (2017): 408-425.

  19. Lei Chen, Hai-Lin Liu, Zun Fan, Shengli. Xie, and E. Goodman. Modeling the Tracking Area Planning Problem Using an Evolutionary Multi-Objective Algorithm. IEEE Computational Intelligence Magazine, 12(1), 29-41, 2017.

  20. Chaoda Peng, Hai-Lin Liu, and Fangqing Gu, "A novel constraint-handling technique based on dynamic weights for constrained optimization problems". Soft Computing, 2017.

  21. Fangqing Gu, Hai-Lin Liu, Yiu-ming Cheung, Shengli Xie, Optimal WCDMA network planning by multiobjective evolutionary algorithm with problem-specific genetic operation. Knowledge and Information Systems, 2015，45：679-703.

  22. Fangqing Gu, Hai-Lin Liu, Kay Chen Tan, A hybrid evolutionary multiobjective optimization algorithm with adaptive multi-fitness assignment. Softcomputing, 2015, 19 (11) :3249-3259.

  23. Junjie Yang and Hai-Lin Liu. Blind identification of the underdetermined mixing matrix based on K-weighted hyperline clustering. Neurocomputing, Vol.149, 483–489, 2015.

  24. Hai-Lin Liu, Fang Gu and Qingfu Zhang, Decomposition of a Multiobjective Optimization Problem into a Number of Simple Multiobjective Subproblems, IEEE Transactions on Evolutionary Computation, 18(3), pp. 450-455, 2014.

  25. Hai-Lin Liu, Fangqing Gu, Yiu-ming Cheung, Shengli Xie and Jun Zhang, On Solving WCDMA Network Planning Using Iterative Power Control Scheme and Evolutionary Multiobjective Algorithm, IEEE Computational Intelligence Magazine, 9(1). Pp.44-52, 2014.

  26. Jiechang Wen, Hai-Lin Liu, Suxian Zhang, Mingqing Xiao, A New Fuzzy K-EVD Orthogonal Complement Space Clustering Method, Neural Computing and Applications, 2014, 24 (1): 147-154.

  27. Lei Chen, Hai-Lin Liu, A Region Decomposition-Based Multi-objective Particle Swarm Optimization Algorithm, International Journal of Pattern Recognition and Artificial Intelligence, 2014.

  28. Hai-Lin Liu and Qiang Wang, A Resource Allocation Evolutionary Algorithm for OFDM Based on Karush-Kuhn-Tucker Conditions, Mathematical Problems in Engineering, 2013.

  29. Lei Chen and Hai-Lin Liu*, An Evolutionary Algorithm Based on the Four-Color Theorem for Location Area Planning, Mathematical Problems in Engineering, Volume 2013.

  30. Fangqing Gu, Hai-Lin Liu and Kay Chen Tan, A Multiobjective Evolutionary Algorithm Using Dynamic Weight Design Method, International Journal of Innovative Computing, Information and Control, Vol.8, No.5, pp.3677-3688, 2012.