| A survey of evolutionary algorithms for multi-objective optimization problems with irregular Pareto fronts Y Hua, Q Liu, K Hao, Y Jin IEEE/CAA Journal of Automatica Sinica 8 (2), 303-318, 2021 | 205 | 2021 |
| An artificial bee colony algorithm for multi-objective optimisation J Luo, Q Liu, Y Yang, X Li, M Chen, W Cao Applied Soft Computing 50, 235-251, 2017 | 106 | 2017 |
| An adaptive reference vector-guided evolutionary algorithm using growing neural gas for many-objective optimization of irregular problems Q Liu, Y Jin, M Heiderich, T Rodemann, G Yu IEEE Transactions on Cybernetics 52 (5), 2698-2711, 2020 | 105 | 2020 |
| A decomposition-based multi-objective evolutionary algorithm with quality indicator J Luo, Y Yang, X Li, Q Liu, M Chen, K Gao Swarm and evolutionary computation 39, 339-355, 2018 | 35 | 2018 |
| A Survey on Knee-Oriented Multiobjective Evolutionary Optimization G Yu, L Ma, Y Jin, W Du, Q Liu, H Zhang IEEE Transactions on Evolutionary Computation 26 (6), 1452-1472, 2022 | 34 | 2022 |
| A new hybrid memetic multi-objective optimization algorithm for multi-objective optimization J Luo, Y Yang, Q Liu, X Li, M Chen, K Gao Information Sciences 448, 164-186, 2018 | 31 | 2018 |
| Adaptation of reference vectors for evolutionary many-objective optimization of problems with irregular Pareto fronts Q Liu, Y Jin, M Heiderich, T Rodemann 2019 IEEE Congress on Evolutionary Computation (CEC), 1726-1733, 2019 | 28 | 2019 |
| Reference vector-assisted adaptive model management for surrogate-assisted many-objective optimization Q Liu, R Cheng, Y Jin, M Heiderich, T Rodemann IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (12), 7760-7773, 2022 | 19 | 2022 |
| Surrogate-assisted evolutionary optimization of expensive many-objective irregular problems Q Liu, Y Jin, M Heiderich, T Rodemann Knowledge-based systems 240, 108197, 2022 | 15 | 2022 |
| A secure federated data-driven evolutionary multi-objective optimization algorithm Q Liu, Y Yan, P Ligeti, Y Jin IEEE Transactions on Emerging Topics in Computational Intelligence, 2023 | 10 | 2023 |
| A Performance Indicator Based Infill Criterion for Expensive Multi-/Many-objective Optimization S Qin, C Sun, Q Liu, Y Jin IEEE Transactions on Evolutionary Computation, 2023 | 9 | 2023 |
| Coordinated adaptation of reference vectors and scalarizing functions in evolutionary many-objective optimization Q Liu, Y Jin, M Heiderich, T Rodemann IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (2), 763-775, 2022 | 9 | 2022 |
| Solution set augmentation for knee identification in multiobjective decision analysis G Yu, Y Jin, M Olhofer, Q Liu, W Du IEEE Transactions on Cybernetics, 2021 | 9 | 2021 |
| A many-objective evolutionary algorithm with epsilon-indicator direction vector Y Yang, J Luo, L Huang, Q Liu Applied Soft Computing 76, 326-355, 2019 | 9 | 2019 |
| Surrogate-assisted many-objective optimization of building energy management Q Liu, F Lanfermann, T Rodemann, Y Jin IEEE Computational Intelligence Magazine, 2023 | 4 | 2023 |
| Fast evolutionary neural architecture search based on bayesian surrogate model R Shi, J Luo, Q Liu 2021 IEEE Congress on Evolutionary Computation (CEC), 1217-1224, 2021 | 4 | 2021 |
| Privacy-preserving federated Bayesian optimization with learnable noise Q Liu, Y Yan, Y Jin Information Sciences 653, 119739, 2024 | 1 | 2024 |
| Secure Federated Evolutionary Optimization—A Survey Q Liu, Y Yan, Y Jin, X Wang, P Ligeti, G Yu, X Yan Engineering, 2023 | 1 | 2023 |
| Identification of Energy Management Configuration Concepts from a Set of Pareto-optimal Solutions F Lanfermann, Q Liu*, Y Jin, S Schmitt arXiv preprint arXiv:2306.08318, 2023 | 1 | 2023 |
| Adaptive normal vector guided evolutionary multi-and many-objective optimization Y Hua, Q Liu*, K Hao Complex & Intelligent Systems, 1-18, 2024 | | 2024 |
