A correlation-guided layered prediction approach for evolutionary dynamic multiobjective optimization K Yu, D Zhang, J Liang, K Chen, C Yue, K Qiao, L Wang IEEE transactions on evolutionary computation 27 (5), 1398-1412, 2022 | 54 | 2022 |
Evolutionary constrained multiobjective optimization: Scalable high-dimensional constraint benchmarks and algorithm K Qiao, J Liang, K Yu, C Yue, H Lin, D Zhang, B Qu IEEE Transactions on Evolutionary Computation, 2023 | 33 | 2023 |
A framework based on historical evolution learning for dynamic multiobjective optimization K Yu, D Zhang, J Liang, B Qu, M Liu, K Chen, C Yue, L Wang IEEE Transactions on Evolutionary Computation, 2023 | 11 | 2023 |
History-Assisted Two-State Auxiliary Task Collaboration Approach for Dynamic Constrained Multiobjective Optimization D Zhang, K Yu, J Liang, K Qiao, B Qu, K Chen, C Yue, L Wang IEEE Transactions on Evolutionary Computation, 2024 | 2 | 2024 |
Dual-Population Collaborative Prediction with Reinforcement Learning Adjusting for Dynamic Multi-Objective Optimization L Yan, Y Li, B Qu, J Liang, K Yu, D Zhang Available at SSRN 4870764, 0 | | |