... 25 09 2024 Email: sxg@dlut.edu.cn Email: shuaizhangsz@foxmail.com Email: pangy@mail.dlut.edu.cn Email: libertyljj@mail.dlut.edu.cn Email: 1727164820@qq.com approximation-based optimal design metamodeling Journal of Mechanical Design. Received May 10, 2024; Accepted...

... constrained multi-objective optimization robustness metrics computational efficiency artificial intelligence data-driven design design automation design for manufacturing design integration design of multiscale systems design optimization machine learning metamodeling Designing...

... in a second step using K -means clustering so that a metamodel-based optimizer can search for an optimum during the final step. Mean field homogenization is used to approximate material nonlinearity. This approach demonstrates the benefits of using static loading minimum compliance TO to augment...

... 18 03 2024 Graphical Abstract Figure Bayesian optimization optimization-under-uncertainty efficient robust global optimization hypervolume expected improvement crash constraints Bayesian classification design optimization machine learning metamodeling multi-objective...

... of engineered materials system design representation metamodeling National Science Foundation 10.13039/100000001 2045322 Office of Naval Research 10.13039/100000006 N00014-23-1-2485 Developments in modern electronic devices such as smartphones, computers, and medical devices [ 1...

... problem. artificial intelligence design methodology design optimization machine learning metamodeling multi-objective optimization systems design Group behavior is widespread with phenomena like ant colonies, fish swarms, bird flights, and so on. The industry has been inspired...

... 03 2024 Graphical Abstract Figure multi-task learning partially observed information reliability-based design optimization uncertainty quantification data-driven design design automation design optimization machine learning metamodeling reliability in design systems...

... 05 03 2024 Graphical Abstract Figure multi-fidelity surrogate neural network machine learning mapping model different input spaces artificial intelligence computer-aided engineering metamodeling Output data from engineering systems, whether observed or predicted...

... of experiments Kriging design optimization design theory metamodeling multidisciplinary design and optimization product design simulation-based design National Natural Science Foundation of China (NSFC) 10.13039/501100001809 52111540267 52275275 U22A6001 Addressing the conflict...

...@umich.edu Email: gli8@ford.com Email: zgao@ford.com Email: yli197@ford.com Email: sbarbat@ford.com 1 Corresponding author. Email: zhennhu@umich.edu CAE model bias Gaussian process regression Gaussian mixture model transfer learning design automation metamodeling simulation...

.... In this paper, we integrate Latent Variable Gaussian Process (LVGP) with Sobol’ analysis to develop the first metamodel-based mixed-variable GSA method. Through numerical case studies, we validate and demonstrate the effectiveness of our proposed method for mixed-variable problems. Furthermore, while...

...) References [1] Meckesheimer , M. , Barton , R. R. , Simpson , T. , Limayen , F. , and Yannou , B. , 2001 , “ Metamodeling of Combined Discrete/Continuous Responses ,” AIAA J. , 39 ( 10 ), pp. 1950 – 1959 . 10.2514/2.1185 [2] Biswas , A. , and Hoyle , C. , 2021...

... metamodeling References [1] Sio , U. N. , Kotovsky , K. , and Cagan , J. , 2015 , “ Fixation or Inspiration? A Meta-Analytic Review of the Role of Examples on Design Processes ,” Des. Stud. , 39 , pp. 70 – 99 . 10.1016/j.destud.2015.04.004 [2] Crilly , N...

... Corresponding author. Email: sxg@dlut.edu.cn 24 02 2023 08 07 2023 10 07 2023 25 08 2023 pointwise ensemble of surrogate models model selection cross-validation pointwise weight calculation agent-based design design optimization metamodeling structural optimization...

... median metamodeling Ministry of Science and Technology of the People's Republic of China 10.13039/501100002855 2018YFB1700704 National Natural Science Foundation of China 10.13039/501100001809 52075068 Despite the tremendous increase in computer processing capabilities...

... 2023 Bayesian optimization multi-objective optimization Gaussian process acquisition function data-driven design design optimization machine learning metamodeling simulation-based design The solution of design optimization problems in engineering and science often requires...

... of ASME for publication in the J ournal of M echanical D esign . 27 01 2023 23 05 2023 25 05 2023 18 07 2023 time-dependent reliability analysis surrogate model digital twin expansion optimal linear estimation adaptive sampling strategy kriging metamodeling...

... by Reducing Bumpiness of Discrepancy Function ,” Struct. Multidiscip. Optim. , 58 ( 2 ), pp. 399 – 414 . 10.1007/s00158-018-2031-2 [43] Jin , R. , Chen , W. , and Simpson , T. W. , 2001 , “ Comparative Studies of Metamodelling Techniques Under Multiple Modelling Criteria ,” Struct...

...Jie Liu; Yue Zhao; Fei Lei; Fei Ding Metamodel technology provides an efficient method to approximate complex engineering design problems. However, the approximation for high-dimensional problems usually requires a large number of samples for most traditional metamodeling methods, which leads...

... dynamic hybrid sampling hypercube shrinking approximation-based optimal design metamodeling National Natural Science Foundation of China 10.13039/501100001809 Grant No. 51575205 In the dynamic control system, the system state evolves through time and the system response depends...