Publications

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

2024

  1. Weizhong Wang, Hai-Lin Liu, Kay Chen Tan. Effective Identification of Lower-level Optimal Solutions via Discriminator of Conditional Generative Adversarial Network. IEEE Transactions on Evolutionary Computation, 2024, Online, doi 10.1109/TEVC.2024.3435421.

  2. Jingjing Fang, Hai-Lin Liu, Fangqing Gu. A constrained multi-objective evolutionary algorithm based on fitness landscape indicator. Applied Soft Computing, 2024, 166: 112128.

  3. Lei Chen, Kuntao Li, Hai-Lin Liu. Modeling 5G shared base station planning problem using an evolutionary bi-level optimization algorithm. Applied Soft Computing, 2024, 165: 112079.

  4. Weizhong Wang, Hai-Lin Liu. Conditional Generative Adversarial Network-Based Bilevel Evolutionary Multiobjective Optimization Algorithm. IEEE Transactions on Evolutionary Computation, 2024, 28(5): 1205-1219.

  5. Ning Yang, Hai-Lin Liu. A Bilevel Periodically Interactive Evolutionary Algorithm for Personalized Service Customization in Wireless-Powered Cooperative MEC, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 8(6): 4090-4105.

  6. Huangxu Sheng, Hai-Lin Liu, Yutao Lai, Shaoda Zeng, and Lei Chen. Hierarchical Encoding Method for Retinal Segmentation Evolutionary Architecture Search, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, Online, doi10.1109/TETCI.2024.3395540.

  7. Lei Chen, Hai-Lin Liu, Ke Li, Kay Chen Tan. Evolutionary Bi-level Optimization via Multi-objective Transformation-Based Lower Level Search. IEEE Transactions on Evolutionary Computation, 2024, 28(3): 733-747.

  8. Pei-Qiu Huang, Shaoda Zeng, Xilei Wu, Hai-Lin Liu, and Qingfu Zhang. A Multiobjective Evolutionary Algorithm for Network Planning in In-Building Distributed Antenna Systems, IEEE Transactions on Network Science and Engineering, 2024, 11(3): 3002-3014.

  9. Zicheng Cai, Lei Chen, Tongtao Ling, and Hai-Lin Liu. STO-DARTS: Stochastic Bilevel Optimization for Differentiable Neural Architecture Search, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 8(3): 2324-2335.

  10. Jiawei Yuan, Hai-Lin Liu, Shuiping Yang. An adaptive parental guidance strategy and its derived indicator-based evolutionary algorithm for multi- and many-objective optimization. Swarm and Evolutionary Computation, 2024, 84:101449.

2023

  1. Hongyan Chen, Hai-Lin Liu, Fangqing Gu, and Kay Chen Tan. A Multi-objective Multitask Optimization Algorithm Using Transfer Rank. IEEE Transactions on Evolutionary Computation, 2023, 27 (2): 237-250.

  2. Weizhong Wang, Hai-Lin Liu and Kay Chen Tan. A Surrogate-Assisted Differential Evolution Algorithm for High-Dimensional Expensive Optimization Problems. IEEE Transactions on Cybernetics, 2023, 53(4): 2685-2697.

  3. Kuntao Li, Weizhong Wang, Hai-Lin Liu. 6G shared base station planning using an evolutionary bi-level multi-objective optimization algorithm. Information Sciences, 2023, 642:1-22.

  4. Zicheng Cai, Lei Chen, Hai-Lin Liu. EPC-DARTS: Efficient partial channel connection for differentiable architecture search. Neural Networks, 2023, 166: 344-353.

  5. Zicheng Cai, Lei Chen, Shaoda Zeng, Yutao Lai, Hai-Lin Liu. EST-NAS: An evolutionary strategy with gradient descent for neural architecture search. Applied Soft Computing, 2023, 146: 110624.

  6. Jiaheng Huang, Jiechang Wen, Lei Chen, and Hai-Lin Liu. Transfer learning based evolutionary algorithm framework for multi-objective optimization problems. Applied Intelligence, 2023, 53: 18085-18104.

  7. Fangqing Gu, Haosen Liu, and Hai-Lin Liu. A Coevolutionary Algorithm for Many-Objective Optimization Problems with Independent and Harmonious Objectives. Complex System Modeling and Simulation, 2023, 3 (1): 59-70.

  8. Fangqing Gu, Haosen Liu, Yiu-ming Cheung, and Hai-Lin Liu. A constrained multiobjective evolutionary algorithm based on adaptive constraint regulation. Knowledge-Based Systems, 2023, 260: 1-13.

  9. Zhipeng Yu, Fangqing Gu, Hai-Lin Liu, and Yutao Lai. 5G Multi-slices bi-level resource allocation by reinforcement learning. Mathematics, 2023, 11, 760: 1-20.

2022

  1. Lei Chen, Hai-Lin Liu, Ke Li, Kay Chen Tan. Transfer Learning-Based Parallel Evolutionary Algorithm Framework for Bilevel Optimization. IEEE Transactions on Evolutionary Computation, 2022, 26 (1): 115-129.

  2. Fangqing Gu, Hai-Lin Liu, Yiu-ming Cheung, and Minyi Zheng. A rough-to-fine evolutionary multiobjective optimization algorithm. IEEE Transactions on Cybernetics, 2022, 52 (12): 13472-13485.

  3. Jiawei Yuan, Hai-Lin Liu, Yew-Soon Ong, Zhaoshui He. Indicator-based evolutionary algorithm for solving constrained multiobjective optimization problems. IEEE Transactions on Evolutionary Computation, 2022, 26 (2): 379-391.

  4. Chaoda Peng, Hai-Lin Liu, Erik D. Goodman, Kay Chen Tan. A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms. Knowledge-Based Systems, 2022, 239:1-12.

  5. Jiawei Yuan, Hai-Lin Liu, Zhaoshui He. A Constrained Multi-objective Evolutionary Algorithm Using Valuable Infeasible Solutions. Swarm and Evolutionary Computation, 2022, 68: 1-13.

  6. Lei Chen, Haosen Liu, Hai-Lin Liu, and Fangqing Gu. A bi-level transformation based evolutionary algorithm framework for equality constrained optimization. Memetic Computing, 2022, 14: 423-432.

  7. Weizhong Wang, Hai-Lin Liu, and Hongjian Shi. A multi-objective bilevel optimisation evolutionary algorithm with dual populations lower-level search. Connection Science, 2022, 34 (1): 1556-1581.

  8. Runjia Wu, Fangqing Gu, Hai-Lin Liu, and Hongjian Shi. UAV Path Planning Based on Multicritic-Delayed Deep Deterministic Policy Gradient. Wireless Communications and Mobile Computing, 2022: 9017079.

2021

  1. Hai-Lin Liu, Fangqing Gu and Zixian Lin. Auto-sharing parameters for transfer learning based on multi-objective optimization. Integrated Computer-Aided Engineering, 2021, 28: 295–307.

  2. Jiabin Lin, Hai-Lin Liu, Kay Chen Tan, Fangqing Gu. An Effective Knowledge Transfer Approach for Multiobj-ective Multitasking Optimization. IEEE Transactions on Cybernetics, 2021, 51 (1): 3238-3248.

  3. 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 Transactions on Evolutionary Computation, 2021, 25(1): 75-86.

  4. 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, 2021, 51(11): 5546-5558.

  5. 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, 2021, 29 (1): 157-186.

  6. Qiang Wang, Hai-Lin Liu. Optimized joint resource allocation for NOMA MIMO-based wireless powered sensor networks. International Journal of Sensor Networks, 2021, 35(1): 1-9.

  7. Ning Yang, Hai-Lin Liu，Jiawei Yuan. Performance Investigation of Iϵ-indicator and Iϵ+ indicator Based on Lp-norm. Neurocomputing, 2021, 546-558.

  8. Yang Ning, Hai-Lin Liu. Adaptively Allocating Constraint-Handling Techniques for Constrained Multi-objective Optimization Problems. International Journal of Pattern Recognition and Artificial Intelligence, 2021, 35 (8): 2159032.

2020

  1. Jiabin Lin, Hai-Lin Liu, Bing Xue, Mengjie Zhang, Fangqing Gu. Multi-objective multi-tasking optimization based on incremental learning. IEEE Transactions on Evolutionary Computation, 2020, 24(2): 824-838.

  2. 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.

  3. 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.

  4. Yiu-ming Cheung, Fangqing Gu, Hai-Lin Liu, Kay Chen Tan, and Han Huang. Objective-domain dual decomposition: An effective approach to optimizing partially differentiable objective functions. IEEE Transactions on Cybernetics, 2020, 50 (3): 923-934.

  5. 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.

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.