A rule-based method for automated surrogate model selection L Jia, R Alizadeh, J Hao, G Wang, JK Allen, F Mistree Advanced Engineering Informatics 45, 101123, 2020 | 74 | 2020 |
Ensemble of surrogates and cross-validation for rapid and accurate predictions using small data sets R Alizadeh, L Jia, AB Nellippallil, G Wang, J Hao, JK Allen, F Mistree AI EDAM 33 (4), 484-501, 2019 | 50 | 2019 |
A reinforcement learning based blade twist angle distribution searching method for optimizing wind turbine energy power L Jia, J Hao, J Hall, HK Nejadkhaki, G Wang, Y Yan, M Sun Energy 215, 119148, 2021 | 24 | 2021 |
Building surrogate models for engineering problems by integrating limited simulation data and monotonic engineering knowledge J Hao, W Ye, L Jia, G Wang, J Allen Advanced Engineering Informatics 49, 101342, 2021 | 12 | 2021 |
Design optimization by integrating limited simulation data and shape engineering knowledge with Bayesian optimization (BO-DK4DO) J Hao, M Zhou, G Wang, L Jia, Y Yan Journal of Intelligent Manufacturing 31, 2049-2067, 2020 | 9 | 2020 |
Evolutionary neural network-based method for constructing surrogate model with small scattered dataset and monotonicity experience J Hao, W Ye, G Wang, L Jia, Y Wang 2018 5th International Conference on Soft Computing & Machine Intelligence …, 2018 | 4 | 2018 |
Lightweight Optimization Design of Unmanned Vehicle Body Structure Based on Multi-working Conditions Correlation Z LI, L JIA, J HAO, C WANG, G WANG, Z MING, Y YAN Acta Armamentarii 44 (11), 3529, 2023 | | 2023 |
Modeling and Optimizing Multi-Stage Design With Gaussian Process Based on Surrogate Model Chain S Yang, L Jia, J Hao, R Alizadeh International Design Engineering Technical Conferences and Computers and …, 2022 | | 2022 |
Research on Evolutionary Level Set Method and Gaussian Mixture Model Based Target Shape Design Optimization Problem L Jia, J Hao, G Wang, Y Yan IEEE Access 7, 104096-104107, 2019 | | 2019 |
Human-in-The-Loop Optimization for Vehicle Body Lightweight Design J Hao, R Deng, L Jia, Z Li Available at SSRN 4703178, 0 | | |