| Decomposition of a multiobjective optimization problem into a number of simple multiobjective subproblems HL Liu, F Gu, Q Zhang IEEE transactions on evolutionary computation 18 (3), 450-455, 2013 | 817 | 2013 |
| A modified brain storm optimization Z Zhan, J Zhang, Y Shi, H Liu 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 192 | 2012 |
| Adaptively allocating search effort in challenging many-objective optimization problems HL Liu, L Chen, Q Zhang, K Deb IEEE Transactions on Evolutionary Computation 22 (3), 433-448, 2017 | 159 | 2017 |
| A multiobjective evolutionary algorithm using dynamic weight design method F Gu, HL Liu, KC Tan International Journal of Innovative Computing, Information and Control 8 (5 …, 2012 | 151 | 2012 |
| Investigating the properties of indicators and an evolutionary many-objective algorithm using promising regions J Yuan, HL Liu, F Gu, Q Zhang, Z He IEEE Transactions on Evolutionary Computation 25 (1), 75-86, 2020 | 133 | 2020 |
| An effective knowledge transfer approach for multiobjective multitasking optimization J Lin, HL Liu, KC Tan, F Gu IEEE transactions on cybernetics 51 (6), 3238-3248, 2020 | 128 | 2020 |
| The multiobjective evolutionary algorithm based on determined weight and sub-regional search H Liu, X Li 2009 IEEE Congress on Evolutionary Computation, 1928-1934, 2009 | 121 | 2009 |
| Investigating the effect of imbalance between convergence and diversity in evolutionary multiobjective algorithms HL Liu, L Chen, K Deb, ED Goodman IEEE Transactions on Evolutionary Computation 21 (3), 408-425, 2016 | 113 | 2016 |
| An evolutionary algorithm with directed weights for constrained multi-objective optimization C Peng, HL Liu, F Gu Applied Soft Computing 60, 613-622, 2017 | 103 | 2017 |
| Indicator-based evolutionary algorithm for solving constrained multiobjective optimization problems J Yuan, HL Liu, YS Ong, Z He IEEE transactions on evolutionary computation 26 (2), 379-391, 2021 | 102 | 2021 |
| Multiobjective multitasking optimization based on incremental learning J Lin, HL Liu, B Xue, M Zhang, F Gu IEEE Transactions on Evolutionary Computation 24 (5), 824-838, 2019 | 91 | 2019 |
| An elitism based multi-objective artificial bee colony algorithm Y Xiang, Y Zhou, H Liu European Journal of Operational Research 245 (1), 168-193, 2015 | 87 | 2015 |
| Objective extraction for many-objective optimization problems: Algorithm and test problems Y Cheung, F Gu, HL Liu IEEE Transactions on Evolutionary Computation 20 (5), 755-772, 2016 | 75 | 2016 |
| Evolution strategies for continuous optimization: A survey of the state-of-the-art Z Li, X Lin, Q Zhang, H Liu Swarm and Evolutionary Computation 56, 100694, 2020 | 72 | 2020 |
| T-MOEA/D: MOEA/D with objective transform in multi-objective problems HL Liu, F Gu, Y Cheung 2010 international conference of information science and management …, 2010 | 64 | 2010 |
| A surrogate-assisted differential evolution algorithm for high-dimensional expensive optimization problems W Wang, HL Liu, KC Tan IEEE Transactions on Cybernetics 53 (4), 2685-2697, 2022 | 59 | 2022 |
| A novel weight design in multi-objective evolutionary algorithm FQ Gu, HL Liu 2010 International Conference on Computational Intelligence and Security …, 2010 | 54 | 2010 |
| An evolutionary many-objective optimisation algorithm with adaptive region decomposition HL Liu, L Chen, Q Zhang, K Deb 2016 IEEE Congress on Evolutionary Computation (CEC), 4763-4769, 2016 | 52 | 2016 |
| Evolutionary many-objective algorithm using decomposition-based dominance relationship L Chen, HL Liu, KC Tan, YM Cheung, Y Wang IEEE Transactions on Cybernetics 49 (12), 4129-4139, 2018 | 50 | 2018 |
| A multi-objective evolutionary algorithm using min-max strategy and sphere coordinate transformation H Liu, Y Wang, Y Cheung Intelligent Automation & Soft Computing 15 (3), 361-384, 2009 | 50 | 2009 |
