| Many-objective evolutionary algorithms: A survey B Li, J Li, K Tang, X Yao ACM Computing Surveys (CSUR) 48 (1), 1-35, 2015 | 838 | 2015 |
| Stochastic ranking algorithm for many-objective optimization based on multiple indicators B Li, K Tang, J Li, X Yao IEEE Transactions on Evolutionary Computation 20 (6), 924-938, 2016 | 222 | 2016 |
| An improved two archive algorithm for many-objective optimization B Li, J Li, K Tang, X Yao 2014 IEEE Congress on Evolutionary Computation (CEC), 2869-2876, 2014 | 50 | 2014 |
| Search based recommender system using many-objective evolutionary algorithm B Li, C Qian, J Li, K Tang, X Yao 2016 IEEE Congress on Evolutionary Computation (CEC), 120-126, 2016 | 9 | 2016 |
| Differential evolution guided by approximated Pareto set for multiobjective optimization S Wang, A Zhou, B Li, P Yang Information Sciences 630, 669-687, 2023 | 7 | 2023 |
| A regularity augmented evolutionary algorithm with dual-space search for multiobjective optimization S Wang, B Li, A Zhou Swarm and Evolutionary Computation 78, 101261, 2023 | 6 | 2023 |
| A Two-Population Algorithm for Large-Scale Multi-objective Optimization Based on Fitness-Aware Operator and Adaptive Environmental Selection B Li, Y Zhang, P Yang, X Yao, A Zhou IEEE Transactions on Evolutionary Computation, 2023 | 5 | 2023 |
| MOCPSO: A multi-objective cooperative particle swarm optimization algorithm with dual search strategies Y Zhang, B Li, W Hong, A Zhou Neurocomputing 562, 126892, 2023 | 4 | 2023 |
| A Population Cooperation based Particle Swarm Optimization algorithm for large-scale multi-objective optimization Y Lu, B Li, S Liu, A Zhou Swarm and Evolutionary Computation 83, 101377, 2023 | 4 | 2023 |
| RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization Y Lu, B Li, H Qian, W Hong, P Yang, A Zhou Proceedings of the Genetic and Evolutionary Computation Conference, 722-730, 2023 | 2 | 2023 |
| A Surrogate Model Assisted Estimation of Distribution Algorithm with Mutil-acquisition Functions for Expensive Optimization H Hao, S Wang, B Li, A Zhou 2022 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2022 | 1 | 2022 |
| Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization B Li, Y Lu, H Qian, W Hong, P Yang, A Zhou Swarm and Evolutionary Computation 86, 101506, 2024 | | 2024 |
| Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization Y Lu, B Li, A Zhou Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14202 …, 2024 | | 2024 |
| Pointer Networks Trained Better via Evolutionary Algorithms M Zhong, S Liu, B Li, H Fu, C Qian, K Tang, P Yang arXiv preprint arXiv:2312.01150, 2023 | | 2023 |
| Accelerating Surrogate Assisted Evolutionary Algorithms Via Explainable Machine Learning B Li, Y Yang, D Liu, Y Zhang, A Zhou, X Yao Available at SSRN 4699560, 0 | | |
Ke TangProfessor, Southern University of Science and TechnologyVerified email at sustech.edu.cn
