| MOEA/D: A multiobjective evolutionary algorithm based on decomposition Q Zhang, H Li IEEE Transactions on evolutionary computation 11 (6), 712-731, 2007 | 6605 | 2007 |
| Multiobjective optimization problems with complicated Pareto sets, MOEA/D and NSGA-II H Li, Q Zhang IEEE transactions on evolutionary computation 13 (2), 284-302, 2008 | 2208 | 2008 |
| Multiobjective evolutionary algorithms: A survey of the state of the art A Zhou, BY Qu, H Li, SZ Zhao, PN Suganthan, Q Zhang Swarm and Evolutionary Computation 1 (1), 32-49, 2011 | 1957 | 2011 |
| The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances Q Zhang, W Liu, H Li 2009 IEEE congress on evolutionary computation, 203-208, 2009 | 657 | 2009 |
| Opposition-based particle swarm algorithm with Cauchy mutation H Wang, H Li, Y Liu, C Li, S Zeng 2007 IEEE congress on evolutionary computation, 4750-4756, 2007 | 314 | 2007 |
| Enhanced differential evolution with adaptive strategies for numerical optimization W Gong, Z Cai, CX Ling, H Li IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2010 | 236 | 2010 |
| Robust multi-exposure image fusion: a structural patch decomposition approach K Ma, H Li, H Yong, Z Wang, D Meng, L Zhang IEEE Transactions on Image Processing 26 (5), 2519-2532, 2017 | 211 | 2017 |
| A real-coded biogeography-based optimization with mutation W Gong, Z Cai, CX Ling, H Li Applied Mathematics and Computation 216 (9), 2749-2758, 2010 | 171 | 2010 |
| An Adaptive Evolutionary Multi-Objective Approach Based on Simulated Annealing HLD Landa-silva Evolutionary Computation 19 (4), 561-595, 2011 | 168 | 2011 |
| Adaptive strategy selection in differential evolution for numerical optimization: an empirical study W Gong, Á Fialho, Z Cai, H Li Information Sciences 181 (24), 5364-5386, 2011 | 148 | 2011 |
| Push and pull search for solving constrained multi-objective optimization problems Z Fan, W Li, X Cai, H Li, C Wei, Q Zhang, K Deb, E Goodman Swarm and evolutionary computation 44, 665-679, 2019 | 134 | 2019 |
| Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties H Li, K Deb, Q Zhang, PN Suganthan, L Chen Swarm and Evolutionary Computation 46, 104-117, 2019 | 111 | 2019 |
| Biased multiobjective optimization and decomposition algorithm H Li, Q Zhang, J Deng IEEE transactions on cybernetics 47 (1), 52-66, 2016 | 105 | 2016 |
| MOEA/D with NBI-style Tchebycheff approach for portfolio management Q Zhang, H Li, D Maringer, E Tsang IEEE Congress on Evolutionary Computation, 1-8, 2010 | 92 | 2010 |
| Hybrid estimation of distribution algorithm for multiobjective knapsack problem H Li, Q Zhang, E Tsang, JA Ford European Conference on Evolutionary Computation in Combinatorial …, 2004 | 81 | 2004 |
| Comparison between MOEA/D and NSGA-II on the multi-objective travelling salesman problem W Peng, Q Zhang, H Li Multi-objective memetic algorithms, 309-324, 2009 | 80 | 2009 |
| A multiobjective differential evolution based on decomposition for multiobjective optimization with variable linkages H Li, Q Zhang Parallel problem solving from nature-PPSN IX, 583-592, 2006 | 71 | 2006 |
| Difficulty adjustable and scalable constrained multiobjective test problem toolkit Z Fan, W Li, X Cai, H Li, C Wei, Q Zhang, K Deb, E Goodman Evolutionary computation 28 (3), 339-378, 2020 | 66 | 2020 |
| Evolutionary multi-objective simulated annealing with adaptive and competitive search direction H Li, D Landa-Silva 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008 | 66 | 2008 |
| On the use of two reference points in decomposition based multiobjective evolutionary algorithms Z Wang, Q Zhang, H Li, H Ishibuchi, L Jiao Swarm and evolutionary computation 34, 89-102, 2017 | 64 | 2017 |
Qingfu ZhangChair Professor, FIEEE, City University of Hong Kong在 cityu.edu.hk 的電子郵件地址已通過驗證
