注册
国际期刊论文

1.    Hui Li, Kalyanmoy Deb, Qingfu Zhang: Variable-length Pareto Optimization via Decomposition-based Evolutionary Multiobjective Algorithm, IEEE Trans. Evolutionary Computation, online, 23(6), DOI:10.1109/TEVC.2019.2898886 (2019) 

2.    Hui Li, Jianyong Sun, DeyuMeng, 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) 

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) 

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) 

5.    Zhun Fan, Wenji Li, XinyeCai, 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) 

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) 

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) 

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)

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) 

10.   Zhenkun Wang, Qingfu Zhang, Hui Li, HisaoIshibuchi, 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) 

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) 

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) 

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) 

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) 

 

国际会议论文

1.    Hui Li, Jianyong Sun, Qingfu Zhang and YuxiangShui, 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, XinyeCai, 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 multiobjectivequadratic 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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