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An Automated Machine Learning-Genetic Algorithm Framework With Active Learning for Design Optimization
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The use of machine learning (ML)-based surrogate models is a promising technique to significantly accelerate simulation-driven design optimization of internal combustion (IC) engines, due to the high computational cost of ...