Výsledky vyhledávání - "Shaxted, Matthew"

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Application of an automated machine learning-genetic algorithm (AutoML-GA) coupled with computational fluid dynamics simulations for rapid engine design optimization

Autor: Owoyele, Opeoluwa, Pal, Pinaki, Torreira, Alvaro Vidal, Probst, Daniel, Shaxted, Matthew, Wilde, Michael, Senecal, Peter Kelly

In recent years, the use of machine learning-based surrogate models for computational fluid dynamics (CFD) simulations has emerged as a promising technique for reducing the computational cost associated with engine design optimization. However, such

Externí odkaz: http://arxiv.org/abs/2101.02653

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Akademický článek

Application of an automated machine learning-genetic algorithm (AutoML-GA) coupled with computational fluid dynamics simulations for rapid engine design optimization.

Autor: Owoyele, Opeoluwa, Pal, Pinaki, Vidal Torreira, Alvaro, Probst, Daniel, Shaxted, Matthew, Wilde, Michael, Senecal, Peter Kelly

Publikováno v: International Journal of Engine Research (Sage Publications, Ltd.); Sep2022, Vol. 23 Issue 9, p1586-1601, 16p

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