| Expensive multiobjective optimization by relation learning and prediction H Hao, A Zhou, H Qian, H Zhang IEEE Transactions on Evolutionary Computation 26 (5), 1157-1170, 2022 | 54 | 2022 |
| The machine learning for combinatorial optimization competition (ml4co): Results and insights M Gasse, S Bowly, Q Cappart, J Charfreitag, L Charlin, D Chételat, ... NeurIPS 2021 competitions and demonstrations track, 220-231, 2022 | 23 | 2022 |
| Binary relation learning and classifying for preselection in evolutionary algorithms H Hao, J Zhang, X Lu, A Zhou IEEE Transactions on Evolutionary Computation 24 (6), 1125-1139, 2020 | 22 | 2020 |
| Enhancing SAEAs with unevaluated solutions: a case study of relation model for expensive optimization H Hao, X Zhang, A Zhou Science China Information Sciences 67 (2), 120103, 2024 | 11 | 2024 |
| An approximated domination relationship based on binary classifiers for evolutionary multiobjective optimization H Hao, A Zhou, H Zhang 2021 IEEE Congress on Evolutionary Computation (CEC), 2427-2434, 2021 | 7 | 2021 |
| Enhancing diversity by local subset selection in evolutionary multiobjective optimization Z Wang, B Mao, H Hao, W Hong, C Xiao, A Zhou IEEE Transactions on Evolutionary Computation 27 (5), 1456-1469, 2022 | 6 | 2022 |
| A comparison study of surrogate model based preselection in evolutionary optimization H Hao, J Zhang, A Zhou Intelligent Computing Theories and Application: 14th International …, 2018 | 6 | 2018 |
| A relation surrogate model for expensive multiobjective continuous and combinatorial optimization H Hao, A Zhou International Conference on Evolutionary Multi-Criterion Optimization, 205-217, 2023 | 3 | 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 | 3 | 2022 |
| 基于演化算法的约束区域均匀仿真实验设计方法 魏佳宁， 郝昊， 常衢通， 林涛， 张虎 系统仿真学报 33 (7), 1591, 2021 | 3 | 2021 |
| Evolutionary retrosynthetic route planning Y Zhang, H Hao, X He, S Gao, A Zhou arXiv preprint arXiv:2310.05186, 2023 | 2 | 2023 |
| 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 | 1 | 2024 |
| Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis H Hao, X Zhang, A Zhou arXiv preprint arXiv:2403.14413, 2024 | 1 | 2024 |
| Evolutionary Retrosynthetic Route Planning [Research Frontier] Y Zhang, X He, S Gao, A Zhou, H Hao IEEE Computational Intelligence Magazine 19 (3), 58-72, 2024 | | 2024 |
| 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 | | 2024 |
| Large Language Models as Surrogate Models in Evolutionary Algorithms: A Preliminary Study H Hao, X Zhang, A Zhou arXiv preprint arXiv:2406.10675, 2024 | | 2024 |
| Efficient Surrogate Model Assisted Estimation of Distribution Algorithm for Expensive Optimization J Shang, G Li, H Hao, Y Zhang IEEE Access, 2024 | | 2024 |
| Expensive Optimization via Relation H Hao, X Zhang, A Zhou | | 2024 |
Prof. Aimin ZhouEast China Normal UniversityVerified email at cs.ecnu.edu.cn
