An automated machine learning framework for piston engine optimization

This study introduces an automated machine learning-based optimization framework for internal combustion engine applications. This framework includes a SuperLearner model, an ensemble of several base learners combined with optimization algorithms, and an active learning approach. The SuperLearner mo...

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Bibliographic Details

Published in:	Applications in Energy and Combustion Science
Main Authors:	Balaji Mohan, Jihad Badra
Format:	Article
Language:	English
Published:	Elsevier 2023-03-01
Subjects:	SuperLearner Genetic algorithm Active learning Nature-inspired optimization
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666352X22000498