Many-objective evolutionary algorithms: A survey B Li, J Li, K Tang, X Yao ACM Computing Surveys (CSUR) 48 (1), 1-35, 2015 | 918 | 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 | 246 | 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 | 56 | 2014 |
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 | 19 | 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 | 17 | 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 | 16 | 2023 |
Differential evolution guided by approximated Pareto set for multiobjective optimization S Wang, A Zhou, B Li, P Yang Information Sciences 630, 669-687, 2023 | 14 | 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 | 9 | 2023 |
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 |
It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization B Li, Z Di, Y Yang, H Qian, P Yang, H Hao, K Tang, A Zhou arXiv preprint arXiv:2407.00487, 2024 | 6 | 2024 |
A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms H Hao, X Zhang, B Li, A Zhou arXiv preprint arXiv:2405.16494, 2024 | 6 | 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 | 6 | 2024 |
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 | 5 | 2022 |
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 | 4 | 2023 |
ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems H Qian, S Liu, M Li, B Li, Z Liu, A Zhou Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 2 | 2024 |
Accelerating surrogate assisted evolutionary algorithms for expensive multi-objective optimization via explainable machine learning B Li, Y Yang, D Liu, Y Zhang, A Zhou, X Yao Swarm and Evolutionary Computation 88, 101610, 2024 | 2 | 2024 |
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 | 2 | 2024 |
Hyperbolic Neural Network Based Preselection for Expensive Multi-Objective Optimization B Li, Y Yang, W Hong, P Yang, A Zhou IEEE Transactions on Evolutionary Computation, 2024 | 1 | 2024 |
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models B Li, Z Di, Y Lu, H Qian, F Wang, P Yang, K Tang, A Zhou arXiv preprint arXiv:2405.08674, 2024 | 1 | 2024 |
Causal Inference Based Large-Scale Multi-Objective Optimization B Li, Y Yang, P Yang, G Li, K Tang, A Zhou IEEE Transactions on Evolutionary Computation, 2025 | | 2025 |