Multi-fidelity Surrogate Assisted Robust Design Optimization
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7210-2_7
Reference22 articles.
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2. Nimmegeers P, Bhonsale S, Telen D, Van Impe J (2020) Optimal experiment design under parametric uncertainty: a comparison of a sensitivities based approach versus a polynomial chaos based stochastic approach. Chem Eng Sci 221:115651
3. Özdemir M (2019) Optimization with Taguchi method of influences on surface roughness of cutting parameters in CNC turning processing. Mechanics 25:397–405
4. Rafiee V, Faiz J (2019) Robust design of an outer rotor permanent magnet motor through six-sigma methodology using response surface surrogate model. IEEE Trans Magn 55:1–10
5. Xiong X, Li S, Wu F (2020) Robust parameter design for nonlinear signal–response systems using kriging models. Eng Optim 52:1344–1361
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