| 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 | 68 | 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 | 47 | 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 | 25 | 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 | 17 | 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 | 10 | 2021 |
| Large language models as surrogate models in evolutionary algorithms: A preliminary study H Hao, X Zhang, A Zhou Swarm and Evolutionary Computation 91, 101741, 2024 | 9 | 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 | 9 | 2024 |
| 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 | 9 | 2022 |
| A comparison study of surrogate model based preselection in evolutionary optimization H Hao, J Zhang, A Zhou International Conference on Intelligent Computing, 717-728, 2018 | 8 | 2018 |
| 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 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 |
| 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 | 4 | 2023 |
| 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 | 3 | 2024 |
| 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 |
| Model uncertainty in evolutionary optimization and bayesian optimization: A comparative analysis H Hao, X Zhang, A Zhou 2024 IEEE Congress on Evolutionary Computation (CEC), 1-9, 2024 | 2 | 2024 |
| Expensive Optimization via Relation H Hao, X Zhang, A Zhou IEEE Transactions on Evolutionary Computation, 2025 | | 2025 |
| Un-evaluated Solutions May Be Valuable in Expensive Optimization H Hao, X Zhang, A Zhou arXiv preprint arXiv:2412.03858, 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 |
| Diversity-Enhanced Hyper-Heuristics for Multi-Objective Dynamic Flexible Job Shop Scheduling Y Shi, Y Yang, B Li, H Qian, H Hao, A Zhou Available at SSRN 5034525, 0 | | |
Prof. Aimin ZhouEast China Normal UniversityEmail yang diverifikasi di cs.ecnu.edu.cn