GT2021-58562 Constraint Handling in Bayesian Optimization - A Comparative Study of Support Vector Machine, Augmented Lagrangian and Expected Feasible Improvement

GT2021-58562 Constraint Handling in Bayesian Optimization - A Comparative Study of Support Vector Machine, Augmented Lagrangian and Expected Feasible Improvement

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Veröffentlicht in:ASME Turbo Expo (2021 : Online) Proceedings of ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition ; Volume 2, D: Turbomachinery: Multidisciplinary design approaches, optimization, and uncertainty quantification; radial turbomachinery aerodynamics; unsteady flows in turbomachinery
1. Verfasser: Jin, Yuan (VerfasserIn)
Weitere Verfasser: Yang, Zheyi (VerfasserIn), Dai, Shiran (VerfasserIn), Lebret, Yann (VerfasserIn), Jung, Olivier (VerfasserIn)
Pages:2021
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
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