An automated machine learning-genetic algorithm framework with active learning for design optimization

O Owoyele, P Pal… - Journal of Energy …, 2021 - asmedigitalcollection.asme.org
The use of machine learning (ML)-based surrogate models is a promising technique to
significantly accelerate simulation-driven design optimization of internal combustion (IC) …
被引用次数：45 相关文章

AN AUTOMATED MACHINE LEARNING-GENETIC ALGORITHM FRAMEWORK WITH ACTIVE LEARNING FOR DESIGN OPTIMIZATION

O Owoyele, P Pal, AV Torreira - 2021 - osti.gov
The use of machine learning (ML)-based surrogate models is a promising technique to
significantly accelerate simulation-driven design optimization of internal combustion (IC) …
[PDF] researchgate.net

[PDF][PDF] An Automated Machine Learning-Genetic Algorithm Framework With Active Learning for Design Optimization

P Pal, AV Torreira - Journal of Energy Resources Technology, 2021 - researchgate.net
The use of machine learning (ML)-based surrogate models is a promising technique to
significantly accelerate simulation-driven design optimization of internal combustion (IC) …

[引用][C] An Automated Machine Learning-Genetic Algorithm Framework With Active Learning for Design Optimization

O Owoyele, P Pal, A Vidal Torreira - 2021 - The American Society of Mechanical …