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...

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Veröffentlicht in:	Applied soft computing Jg. 168; S. 112468
Hauptverfasser:	Tayarani-N., Mohammad-H., Paykani, Amin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2025
Schlagworte:	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-Zugang:	Volltext
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