| Particle swarm optimization with a balanceable fitness estimation for many-objective optimization problems Q Lin, S Liu, Q Zhu, C Tang, R Song, J Chen, CAC Coello, KC Wong, ... IEEE Transactions on Evolutionary Computation 22 (1), 32-46, 2016 | 260 | 2016 |
| A clustering-based evolutionary algorithm for many-objective optimization problems Q Lin, S Liu, KC Wong, M Gong, CAC Coello, J Chen, J Zhang IEEE Transactions on Evolutionary Computation 23 (3), 391-405, 2018 | 103 | 2018 |
| A self-guided reference vector strategy for many-objective optimization S Liu, Q Lin, KC Wong, CAC Coello, J Li, Z Ming, J Zhang IEEE Transactions on Cybernetics 52 (2), 1164-1178, 2020 | 46 | 2020 |
| Learning to accelerate evolutionary search for large-scale multiobjective optimization S Liu, J Li, Q Lin, Y Tian, KC Tan IEEE Transactions on Evolutionary Computation 27 (1), 67-81, 2022 | 38 | 2022 |
| A novel multi-objective immune algorithm with a decomposition-based clonal selection L Li, Q Lin, S Liu, D Gong, CAC Coello, Z Ming Applied Soft Computing 81, 105490, 2019 | 38 | 2019 |
| A fuzzy decomposition-based multi/many-objective evolutionary algorithm S Liu, Q Lin, KC Tan, M Gong, CAC Coello IEEE transactions on cybernetics 52 (5), 3495-3509, 2020 | 36 | 2020 |
| A comprehensive competitive swarm optimizer for large-scale multiobjective optimization S Liu, Q Lin, Q Li, KC Tan IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (9), 5829-5842, 2021 | 35 | 2021 |
| An adaptive clustering-based evolutionary algorithm for many-objective optimization problems S Liu, Q Yu, Q Lin, KC Tan Information Sciences 537, 261-283, 2020 | 34 | 2020 |
| A variable importance-based differential evolution for large-scale multiobjective optimization S Liu, Q Lin, Y Tian, KC Tan IEEE Transactions on Cybernetics 52 (12), 13048-13062, 2021 | 33 | 2021 |
| Evolutionary large-scale multiobjective optimization: Benchmarks and algorithms S Liu, Q Lin, KC Wong, Q Li, KC Tan IEEE Transactions on Evolutionary Computation 27 (3), 401-415, 2021 | 33 | 2021 |
| A novel multi-objective evolutionary algorithm with dynamic decomposition strategy S Liu, Q Lin, KC Wong, L Ma, CAC Coello, D Gong Swarm and Evolutionary Computation 48, 182-200, 2019 | 29 | 2019 |
| A survey on learnable evolutionary algorithms for scalable multiobjective optimization S Liu, Q Lin, J Li, KC Tan IEEE Transactions on Evolutionary Computation, 2023 | 28 | 2023 |
| Evolutionary multitasking for large-scale multiobjective optimization S Liu, Q Lin, L Feng, KC Wong, KC Tan IEEE Transactions on Evolutionary Computation, 2022 | 28 | 2022 |
| Evolutionary multi and many-objective optimization via clustering for environmental selection S Liu, J Zheng, Q Lin, KC Tan Information Sciences 578, 930-949, 2021 | 22 | 2021 |
| Evolutionary large-scale multiobjective optimization via self-guided problem transformation S Liu, M Jiang, Q Lin, KC Tan 2022 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2022 | 8 | 2022 |
| Benchmark problems for CEC2021 competition on evolutionary transfer multiobjectve optimization S Liu, Q Lin, KC Tan, Q Li arXiv preprint arXiv:2110.08033, 2021 | 7 | 2021 |
| Neural Net-Enhanced Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization L Li, Y Li, Q Lin, S Liu, J Zhou, Z Ming, CAC Coello IEEE Transactions on Cybernetics, 2023 | 5 | 2023 |
| An adaptive two-stage evolutionary algorithm for large-scale continuous multi-objective optimization Q Lin, J Li, S Liu, L Ma, J Li, J Chen Swarm and Evolutionary Computation 77, 101235, 2023 | 4 | 2023 |
| Learning-Aided Evolutionary Search and Selection for Scaling-up Constrained Multiobjective Optimization S Liu, Z Wang, Q Lin, J Li, KC Tan IEEE Transactions on Evolutionary Computation, 2024 | 3 | 2024 |
| Evolutionary Optimization with Simplified Helper Task for High-dimensional Expensive Multiobjective Problems X Wu, Q Lin, J Zhou, S Liu, CA Coello Coello, VCM Leung ACM Transactions on Evolutionary Learning, 2024 | 1 | 2024 |
qiuzhen linShenzhen UniversityVerified email at szu.edu.cn
