| MOEA/D: A multiobjective evolutionary algorithm based on decomposition Q Zhang, H Li IEEE Transactions on evolutionary computation 11 (6), 712-731, 2007 | 9902 | 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 | 2739 | 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 | 2557 | 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 | 791 | 2009 |
| 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 | 420 | 2019 |
| 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 | 383 | 2017 |
| 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 | 371 | 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 | 264 | 2010 |
| 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 | 229 | 2020 |
| An Adaptive Evolutionary Multi-Objective Approach Based on Simulated Annealing HLD Landa-silva Evolutionary Computation 19 (4), 561-595, 2011 | 199 | 2011 |
| 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 | 187 | 2010 |
| Biased multiobjective optimization and decomposition algorithm H Li, Q Zhang, J Deng IEEE transactions on cybernetics 47 (1), 52-66, 2016 | 180 | 2016 |
| Adaptive strategy selection in differential evolution for numerical optimization: an empirical study W Gong, A Fialho, Z Cai, H Li Information Sciences 181 (24), 5364-5386, 2011 | 180 | 2011 |
| 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 | 176 | 2019 |
| Fast multi-scale structural patch decomposition for multi-exposure image fusion H Li, K Ma, H Yong, L Zhang IEEE Transactions on Image Processing 29, 5805-5816, 2020 | 170 | 2020 |
| 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 | 128 | 2010 |
| 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 | 107 | 2009 |
| An improved epsilon constraint handling method embedded in MOEA/D for constrained multi-objective optimization problems Z Fan, H Li, C Wei, W Li, H Huang, X Cai, Z Cai 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 98 | 2016 |
| 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 | 97 | 2017 |
| Decomposition-based evolutionary dynamic multiobjective optimization using a difference model L Cao, L Xu, ED Goodman, H Li Applied Soft Computing 76, 473-490, 2019 | 84 | 2019 |
Qingfu ZhangChair Professor, FIEEE, City University of Hong KongZweryfikowany adres z cityu.edu.hk