An ensemble learning algorithm for optimization of spark ignition engine performance fuelled with methane/hydrogen blends

The increasing global demand for sustainable and cleaner transportation has led to extensive research on alternative fuels for Internal Combustion (IC) engines. One promising option is the utilization of methane/hydrogen blends in Spark-Ignition (SI) engines due to their potential to reduce Green Ho...

Full description

Bibliographic Details

Published in:	Applied soft computing Vol. 168; p. 112468
Main Authors:	Tayarani-N., Mohammad-H., Paykani, Amin
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.01.2025
Subjects:	Ensemble learning Evolutionary algorithms Hydrogen Methane Spark ignition engine Surrogate models Methane Spark ignition engine Evolutionary algorithms Surrogate models Ensemble learning Hydrogen
ISSN:	1568-4946
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!