| MOEA/D: A multiobjective evolutionary algorithm based on decomposition Q Zhang, H Li IEEE Transactions on evolutionary computation 11 (6), 712-731, 2007 | 5471 | 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 | 1914 | 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 | 1775 | 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 | 589 | 2009 |
| An Adaptive Evolutionary Multi-Objective Approach Based on Simulated Annealing HLD Landa-silva Evolutionary Computation 19 (4), 561-595, 2011 | 155 | 2011 |
| 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 | 83 | 2010 |
| Biased multiobjective optimization and decomposition algorithm H Li, Q Zhang, J Deng IEEE transactions on cybernetics 47 (1), 52-66, 2016 | 75 | 2016 |
| 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 | 70 | 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 | 69 | 2006 |
| 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 | 63 | 2008 |
| An elitist grasp metaheuristic for the multi-objective quadratic assignment problem H Li, D Landa-Silva International Conference on Evolutionary Multi-Criterion Optimization, 481-494, 2009 | 50 | 2009 |
| On the differential evolution schemes in MOEA/D W Huang, H Li 2010 Sixth International Conference on Natural Computation 6, 2788-2792, 2010 | 27 | 2010 |
| A preference-based multiobjective evolutionary approach for sparse optimization H Li, Q Zhang, J Deng, ZB Xu IEEE transactions on neural networks and learning systems 29 (5), 1716-1731, 2017 | 23 | 2017 |
| MOEA/D with iterative thresholding algorithm for sparse optimization problems H Li, X Su, Z Xu, Q Zhang International Conference on Parallel Problem Solving from Nature, 93-101, 2012 | 20 | 2012 |
| A multi-phase multiobjective approach based on decomposition for sparse reconstruction H Li, Y Fan, Q Zhang, Z Xu, J Deng 2016 IEEE congress on evolutionary computation (CEC), 601-608, 2016 | 14 | 2016 |
| Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails H Li, D Landa-Silva, X Gandibleux IEEE Congress on Evolutionary Computation, 1-8, 2010 | 13 | 2010 |
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
