| An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition K Li, K Deb, Q Zhang, S Kwong IEEE Transactions on Evolutionary Computation 19 (5), 694-716, 2015 | 1240 | 2015 |
| Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization K Li, R Chen, G Fu, X Yao IEEE Transactions on Evolutionary Computation 23 (2), 303-315, 2019 | 530 | 2019 |
| Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition K Li, A Fialho, S Kwong, Q Zhang IEEE Transactions on Evolutionary Computation 18 (1), 114-130, 2014 | 464 | 2014 |
| Stable Matching Based Selection in Evolutionary Multiobjective Optimization K Li, Q Zhang, S Kwong, M Li, R Wang IEEE Transactions on Evolutionary Computation 18 (6), 909-923, 2014 | 379 | 2014 |
| Dynamic Multi-Objectives Optimization with a Changing Number of Objectives K Li, R Chen, X Yao IEEE Transactions on Evolutionary Computation 22 (1), 157-171, 2018 | 190* | 2018 |
| Interrelationship-Based Selection for Decomposition Multiobjective Optimization K Li, S Kwong, Q Zhang, K Deb IEEE Transactions on Cybernetics 45 (10), 2076-2088, 2015 | 181 | 2015 |
| Achieving balance between proximity and diversity in multi-objective evolutionary algorithm K Li, S Kwong, J Cao, M Li, J Zheng, R Shen Information Sciences 182 (1), 220-242, 2012 | 148 | 2012 |
| Parameters estimation of solar photovoltaic models via a self-adaptive ensemble-based differential evolution J Liang, K Qiao, K Yu, S Ge, B Qu, R Xu, K Li Solar Energy 207, 336-346, 2020 | 139 | 2020 |
| R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multi-Objective Optimization Using Reference Points K Li, K Deb, X Yao IEEE Transactions on Evolutionary Computation 22 (6), 821 - 835, 2018 | 138* | 2018 |
| Efficient Non-domination Level Update Method for Steady-State Evolutionary Multiobjective Optimization K Li, K Deb, Q Zhang, Q Zhang IEEE Transactions on Cybernetics 47 (9), 2838-2849, 2017 | 131* | 2017 |
| Evolutionary many-objective optimization based on adversarial decomposition M Wu, K Li, S Kwong, Q Zhang IEEE Transactions on Cybernetics 50 (2), 753-764, 2020 | 127 | 2020 |
| Learning to Decompose: a Paradigm for Decomposition-based Multiobjective Optimization M Wu, K Li, S Kwong, Q Zhang, J Zhang IEEE Transactions on Evolutionary Computation 23 (3), 376-390, 2019 | 126 | 2019 |
| Evolutionary multiobjective optimization-based multimodal optimization: Fitness landscape approximation and peak detection R Cheng, M Li, K Li, X Yao IEEE Transactions on Evolutionary Computation 22 (5), 692-706, 2017 | 116 | 2017 |
| FEMOSAA: Feature-guided and knee-driven multi-objective optimization for self-adaptive software T Chen, K Li, R Bahsoon, X Yao ACM Transactions on Software Engineering and Methodology (TOSEM) 27 (2), 1-50, 2018 | 95 | 2018 |
| Class-specific soft voting based multiple extreme learning machines ensemble J Cao, S Kwong, R Wang, X Li, K Li, X Kong Neurocomputing 149, 275-284, 2015 | 95 | 2015 |
| Matching-Based Selection with Incomplete Lists for Decomposition Multi-Objective Optimization M Wu, K Li, S Kwong, Y Zhou, Q Zhang IEEE Transactions on Evolutionary Computation 21 (4), 554-568, 2017 | 92 | 2017 |
| A Dual-Population Paradigm for Evolutionary Multiobjective Optimization K Li, S Kwong, K Deb Information Sciences 309, 50-72, 2015 | 88 | 2015 |
| Integration of preferences in decomposition multiobjective optimization K Li, R Chen, G Min, X Yao IEEE Transactions on Cybernetics 48 (12), 3359-3370, 2018 | 87 | 2018 |
| Does preference always help? A holistic study on preference-based evolutionary multiobjective optimization using reference points K Li, M Liao, K Deb, G Min, X Yao IEEE Transactions on Evolutionary Computation 24 (6), 1078-1096, 2020 | 77 | 2020 |
| Distributed UAV swarm formation and collision avoidance strategies over fixed and switching topologies J Wu, C Luo, Y Luo, K Li IEEE transactions on cybernetics 52 (10), 10969-10979, 2021 | 73 | 2021 |
Sam KwongLingnan Univerity, Hong KongVerified email at ln.edu.hk
