Segui
Bingdong Li
Titolo
Citata da
Citata da
Anno
Many-objective evolutionary algorithms: A survey
B Li, J Li, K Tang, X Yao
ACM Computing Surveys (CSUR) 48 (1), 1-35, 2015
9182015
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
2462016
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
562014
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
192023
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
172023
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
162023
Differential evolution guided by approximated Pareto set for multiobjective optimization
S Wang, A Zhou, B Li, P Yang
Information Sciences 630, 669-687, 2023
142023
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
92023
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
92016
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
62024
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
62024
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
62024
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
52022
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
42023
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
22024
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
22024
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
22024
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
12024
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
12024
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
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