近期科研成果：

• Hui Li, Kalyanmoy Deb, Qingfu Zhang: Variable-length Pareto Optimization via Decomposition-based Evolutionary Multiobjective Algorithm, IEEE Trans. Evolutionary Computation, 23(6): 987-999,  2019 
• 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 , 2018
• Hui Li, Qingfu Zhang, Jingda Deng: Biased Multiobjective Optimization and Decomposition Algorithm. IEEE Trans. Cybernetics 47(1): 52-66, 2017

重要科研成果：

• Qingfu Zhang, Hui Li: MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE Trans. Evolutionary Computation 11(6): 712-731, 2007
  该论文基于分解思想提出了EMO研究领域主流算法框架之一MOEA/D算法, 于2010年获得了IEEE Trans. Evolutionary Computation年度最优论文奖(outstanding paper award)。截止目前，其谷歌论文引用次数超过5000次。

科研荣誉：

2017英国计算智能研讨会(UKCI'17)最佳论文提名奖

Hui Li, Jianyong Sun, Yuanyuan Fan, Mingyang Wang, Qingfu Zhang: A New Steady-State MOEA/D for Sparse Optimization，UKCI: Advances in Computational Intelligence Systems 2017:119-131

2016演化计算大会(CEC'16)最佳论文提名

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 (CEC) 2016: 601-608