List of Journal Papers

  1. Hui Li, Kalyanmoy Deb, Qingfu Zhang: Variable-length Pareto Optimization via Decomposition-based Evolutionary Multiobjective Algorithm, IEEE Trans. Evolutionary Computation, online, DOI:10.1109/TEVC.2019.2898886 (2019) (1区)

  2. Hui Li, Jianyong Sun, Deyu Meng, Qingfu Zhang, A Multiobjective Approach Based on Gaussian Mixture Clustering for Sparse Reconstruction, IEEE ACCESS,  7:22684-22697 , DOI: 10.1109/ACCESS.2019.2898987 (2019) (2区)

  3. Hui Li, Kalyanmoy Deb, Qingfu Zhang, P.N. Suganthan, Lei Chen, Comparison Between MOEA/D and NSGA-III on a Set of Many and Multi-Objective Benchmark Problems with Challenging Difficulties, Swarm and Evolutionary Computation, 46:104-117, DOI:10.1016/j.swevo.2019.02.003 (2019) (2区)

  4. Hui Li, Jingda Deng, Qingfu Zhang, Jianyong Sun: Adaptive Epsilon dominance in decomposition-based multiobjective evolutionary algorithm, Swarm and Evolutionary Computation, 45(2019), 52-67, DOI:10.1016/j.swevo.2018.12.007 (2019) (2区)

  5. Zhun Fan, Wenji Li, Xinye Cai, Hui Li Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, ErikGoodman, Push and pull search for solving constrained multi-objective optimization problems, Swarm and Evolutionary Computation, 44:665-679, DOI:10.1016/j.swevo.2018.08.017, (2019) (2区)

  6. Hui Li, Qingfu Zhang, Jingda Deng, Zong-Ben Xu: A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization. IEEE Trans. Neural Netw. Learning Syst. 29(5): 1716-1731 DOI: 10.1109/TNNLS.2017.2677973 (2018) (1区)

  7. Hui Li, Jianyong Sun, Mingyang Wang, Qingfu Zhang: MOEA/D with chain-based random local search for sparse optimization, Soft Computing, 22(21): 7087-7102, DOI:10.1007/s00500-018-3460-y (2018) (3区)

  8. Hui Li, Qingfu Zhang, Jingda Deng: Biased Multiobjective Optimization and Decomposition Algorithm. IEEE Trans. Cybernetics 47(1): 52-66 DOI: 10.1109/TCYB.2015.2507366 (2017)(1区)

  9. Huanlai Xing, Zhaoyuan Wang, Tianrui Li, Hui Li, Rong Qu, An improved MOEA/D algorithm for multi-objective multicast routing with network coding, APPLIED SOFT COMPUTING, 59 : 88-103 DOI:10.1016/j.asoc.2017.05.033 (2017) (2区)

  10. Zhenkun Wang, Qingfu Zhang, Hui Li, Hisao Ishibuchi, Licheng Jiao, On the use of two reference points in decomposition based multiobjective evolutionary algorithms, Swarm and Evolutionary Computation, 34: 89-102, DOI:10.1016/j.swevo.2017.01.002 (2017) (2区)

  11. Hui Li, Dario Landa-silva, An Adaptive Evolutionary Multiobjective Approach Based on Simulated Annealing, Evolutionary Computation 19(4) 561-595 DOI: 10.1162/EVCO_a_00038 (2011) (2区)

  12. Aimin Zhou, Boyang Qu, Hui Li, S.Z. Zhao, P.N. Suganthan, Qingfu Zhang: Multiobjective evolutionary algorithms: A survey of the state of the art. Swarm and Evolutionary Computation 1(1): 32-49 DOI:10.1016/j.swevo.2011.03.001 (2011) (2区)

  13. Hui Li, Qingfu Zhang: Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II. IEEE Trans. Evolutionary Computation 13(2):284-302 DOI: 10.1109/TEVC.2008.925798 (2009) (1区)

  14. Qingfu Zhang, Hui Li: MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE Trans. Evolutionary Computation 11(6): 712-731 DOI: 10.1109/TEVC.2007.892759 (2007) (1区)

 

List of Conference Papers

  1. Hui Li, Jianyong Sun, Qingfu Zhang and Yuxiang Shui, Adjustment of Weight Vectors of Penalty-based Boundary IntersectionMethod in MOEA/D, 10th International Conference on Evolutionary Multi-Criterion Optimization, East Lansing, Michigan, USA, March 10-13, 2019

  2. Hui Li, Kalyanmoy Deb: Challenges for evolutionary multiobjective optimization algorithms in solving variable-length problems. IEEE Congress on Evolutionary Computation: 2017: 2217-2224

  3. Jingda Deng, Qingfu Zhang, Hui Li: On the use of dynamic reference points in HypE. SEAL 2017: : Simulated Evolution and Learning 122-133, Shenzhen, China

  4. Leilei Cao, Lihong Xu, Erik Goodman, Hui Li: A first-order difference model-based evolutionary dynamic multiobjective optimization, SEAL 2017: Simulated Evolution and Learning pp 644-655, Shenzhen, China

  5. Hui Li, Yuanyuan Fan, Qingfu Zhang, Zongben Xu, Jingda Deng: A multi-phase multiobjective approach based on decomposition for sparse reconstruction. IEEE Congress on Evolutionary Computation 2016: 601-608

  6. Zhun Fan, Wenji Li, Xinye Cai, Kaiwen Hu, Huibiao Lin, Hui Li, Angle-based constrained dominance principle in MOEA/D for constrained multi-objective optimization problems, IEEE Congress on Evolutionary Computation 2016: 460-467

  7. Hui Li, Min Ding, Jingda Deng, Qingfu Zhang: On the use of random weights in MOEA/D. IEEE Congress on Evolutionary Computation 2015: 978-985

  8. Hui Li, Qingfu Zhang, Jingda Deng, multiobjective test problems with complicated pareto fronts: difficulties in degeneracy, IEEE Congress on Evolutionary Computation 2014: 2156-2163

  9. Hui Li, Xiaolei Su, Zongben Xu, Qingfu Zhang, MOEA/D with iterative thresholding algorithm for sparse optimization problems, Proceedings of the 12th International Conference on Parallel Problem Solving from NatureSpringer Berlin Heidelberg , 2012 , 7492 :93-101

  10. Xiaolei Su, Hui Li, Zongben Xu, Jinshan Zeng: A global iterative half thresholding algorithm for sparse optimization problem, In Proceedings of the 2012 International Conference on Computational Intelligence and Software Engineering, pp. 51-54, Wuhan, China, 2012.

  11. Hui Li, Dario Landa Silva, X. Gandibleux: Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails. IEEE Congress on Evolutionary Computation 2010: 1-8

  12. Qingfu Zhang, Hui LI, D. Maringer, E.P.K. Tsang: MOEA/D with NBI-style tchebycheff approach for portfolio management, Proceedings, Congress on Evolutionary Computation, Barcelona, Spain, 18-23 July, 2010, 1-8

  13. Waibin Huang, Hui Li: On the differential evolution schemes in MOEA/D. in Proceedings of the 6-th International Conference on Natural Computation (ICNC) 2010:2788-2792, Yantai, China

  14. Qingfu Zhang, Wudong Liu, Hui Li: The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances. IEEE Congress on Evolutionary Computation 2009: 203-208

  15. Hui Li and Dario Landa Silva: An Elitist GRASP Metaheuristic for the multiobjective quadratic assignment problem. In Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization,2009:481-494, Nantes, France

  16. Hui Li, Dario Landa Silva: Evolutionary multi-objective simulated annealing with adaptive and competitive search direction. IEEE Congress on Evolutionary Computation 2008: 3311-3318, IEEE Press/ WOS:000263406502020

  17. Hui Li, Qingfu Zhang: A multiobjective differential evolution based on decomposition for multiobjective optimization with variable linkages. in Proceedings of the 9th International Conference on Parallel Problem Solving from Nature (PPSN IX): 2006:583-592, Reykjavik, Iceland

 

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