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Keywords: surrogate modeling
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Proceedings Papers

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A018, August 17–19, 2021
Paper No: DETC2021-71570
...Abstract Abstract Scientific and engineering problems often require an inexpensive surrogate model to aid understanding and the search for promising designs. While Gaussian processes (GP) stand out as easy-to-use and interpretable learners in surrogate modeling, they have difficulties...
Proceedings Papers

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A007, August 17–19, 2021
Paper No: DETC2021-67353
... that consideration of multiple design criteria shunt system design; brain shunt; Decision-based design; and uncertainty management are critical for designing Surrogate modeling biomedical devices to ensure robust performance. Hence, our objective in this paper is to present a multi-objective robust design...
Proceedings Papers

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A013a, August 17–19, 2020
Paper No: DETC2020-22696
... design surrogate modeling multi-objective design exploration Proceedings of the ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC/CIE2020 August 17-19, 2020, Virtual, Online DETC2020-22696 MULTI-OBJECTIVE DESIGN...
Proceedings Papers

Proc. ASME. IDETC-CIE2019, Volume 2A: 45th Design Automation Conference, V02AT03A057, August 18–21, 2019
Paper No: DETC2019-97659
...DESIGN OF GRADIENT NANOTWINNED METAL MATERIALS USING ADAPTIVE GAUSSIAN PROCESS BASED SURROGATE MODELS Haofei Zhou1 Department of Engineering Mechanics, Zhejiang University Hangzhou, Zhejiang, P.R. China Xin Chen2 University of Illinois at Urbana-Champaign Urbana, IL 61801, United States Yumeng Li3...
Proceedings Papers

Proc. ASME. IDETC-CIE2019, Volume 2B: 45th Design Automation Conference, V02BT03A032, August 18–21, 2019
Paper No: DETC2019-97010
... simulations. Obtaining a comprehensive idea of the problem and/or performing subsequent optimizations generally requires hundreds of thousands of evaluations of the objective function which is most often a practically unachievable task. Gaussian Process (GP) surrogate modeling replaces the expensive function...
Proceedings Papers

Proc. ASME. IDETC-CIE2006, Volume 1: 32nd Design Automation Conference, Parts A and B, 1105-1118, September 10–13, 2006
Paper No: DETC2006-99304
... have reduced sensitivity to manufacturing variations with significant savings in computational effort. Robust design multiobjective optimization surrogate modeling compressor blades manufacturing tolerances May 26, 2006 9:20 Proceedings of IDETC/CIE 2006 2006 ASME International Design...