Optimizing Biodiesel Production from Waste Cooking Oil Using Genetic Algorithm-Based Support Vector Machines

Optimizing Biodiesel Production from Waste Cooking Oil Using Genetic Algorithm-Based Support Vector Machines

The ever increasing fuel demands and the limitations of oil reserves have motivated research of renewable and sustainable energy resources to replace, even partially, fossil fuels, which are having a serious environmental impact on global warming and climate change, excessive greenhouse emissions an...

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Bibliographic Details
Main Authors: Marina Corral Bobadilla, Roberto Fernández Martínez, Rubén Lostado Lorza, Fátima Somovilla Gómez, Eliseo P. Vergara González
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Energies
Subjects:
waste cooking oil
biodiesel
support vector machines
soft computing techniques linear regression
genetic algorithms
Online Access:https://www.mdpi.com/1996-1073/11/11/2995

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