Publications

Notes: 近年发表的期刊论文。（Journal Publications） 

2020

  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.

2019

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

2018

  1. 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

  2. Chaoda Peng, Hai-Lin Liu, Fangqing Gu, “A Novel Constraint-handling Technique Based on Dynamic Weights for Constrained Optimization Problems,” Soft Computing, 2018, 22: 3919-393.

  3. Demou Luo, Hai-Lin Liu. "Global Stability of Solutions in a Reaction-Diffusion System of Predator-Prey Model". Filomat 32:13 (2018), 4665–4672. 

2017

  1. 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.

  2. 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.

  3. Hai-Lin Liu, Lei Chen, Q. Zhang, and K. Deb, "Adaptively Allocating Search Effort in Challenging Many-Objective Optimization Problems". IEEE Transactions on Evolutionary Computation, 2017

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

2016

  1. Dan, Wang, H. Liu, and J. Yang. "A Residual Carrier Tolerant QAM Receiver Architecture Based on Time-Varying Blind Source Separation." Chinese Journal of Electronics 25.6(2016):1040-1044.

  2. Cheung, Yiu Ming, F. Gu, and H. L. Liu. "Objective Extraction for Many-Objective Optimization Problems: Algorithm and Test Problems." IEEE Transactions on Evolutionary Computation 20.5(2016):755-772.

  3. Liu, Hai Lin, et al. "A Constrained Multi-Objective Evolutionary Algorithm Based on Boundary Search and Archive." International Journal of Pattern Recognition & Artificial Intelligence 30.01(2012):3058-3063.

  4. Gu, Fangqing, H. L. Liu, and X. Li. A fast evolutionary algorithm with searching preference. Inderscience Publishers, 2016. 

2015

  1. 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.

  2. 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.

  3. 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. 

2014

  1. 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.

  2. 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.

  3. 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.

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

2013

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

  2. 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.

2012

  1. 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.

Notes: 近几年发表的会议论文。 

2017

  1. Yuan, Jiawei, and H. Liu. "A New Dominance Relation Based on Simplex for Many Objective Optimization Problems." International Conference on Computational Intelligence and Security IEEE, 2017:175-178.

  2. Wang, Qiang, H. Liu, and Y. M. Cheung. "A Renewable Energy Cooperation Scheme for OFDM Systems Using Evolutionary Many-Objective Optimization Algorithm." International Conference on Computational Intelligence and Security IEEE, 2017:194-197. 

2016

  1. Peng, Chaoda, and H. L. Liu. "A Decomposition-Based Constraint-Handling Technique for Constrained Multi-objective Optimization." Ieee/wic/acm International Conference on Web Intelligence Workshops IEEE, 2016:129-134.

  2. Liu, Hai Lin, et al. "An evolutionary many-objective optimisation algorithm with adaptive region decomposition." Evolutionary Computation IEEE, 2016:4763-4769.

  3. Peng, Chaoda, H. L. Liu, and F. Gu. "Solving constrained optimization using decomposition-based EMO algorithm." International Joint Conference on Neural Networks IEEE, 2016:4170-4176.

  4. Li, Yifan, H. L. Liu, and F. Gu. "An objective reduction algorithm based on hyperplane approximation for many-objective optimization problems." Evolutionary Computation IEEE, 2016:2470-2476.

  5. Zheng, Zhe, H. L. Liu, and L. Chen. "An evolutionary many-objective optimization algorithm based on population decomposition and reference distance." Sixth International Conference on Information Science and Technology IEEE, 2016:388-393.