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cs.LG2021
A novel machine learning-based optimization algorithm (ActivO) for accelerating simulation-driven engine design
Opeoluwa Owoyele, Pinaki Pal
A novel design optimization approach (ActivO) that employs an ensemble of machine learning algorithms is presented. The proposed approach is a surrogate-based scheme, where the pre…
cs.LG2021
Application of an automated machine learning-genetic algorithm (AutoML-GA) coupled with computational fluid dynamics simulations for rapid engine design optimization
Opeoluwa Owoyele, Pinaki Pal, Alvaro Vidal Torreira +4
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 computa…