Assessing a Multi-Objective Genetic Algorithm with a Simulated Environment for Energy-Saving of Air Conditioning Systems with User Preferences

Assessing a Multi-Objective Genetic Algorithm with a Simulated Environment for Energy-Saving of Air Conditioning Systems with User Preferences

Electricity is one of the most important resources for the growth and sustainability of the population. This paper assesses the energy consumption and user satisfaction of a simulated air conditioning system controlled with two different optimization algorithms. The algorithms are a genetic algorith...

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Bibliographic Details
Main Authors: Alejandro Humberto García Ruiz, Salvador Ibarra Martínez, José Antonio Castán Rocha, Jesús David Terán Villanueva, Julio Laria Menchaca, Mayra Guadalupe Treviño Berrones, Mirna Patricia Ponce Flores, Aurelio Alejandro Santiago Pineda
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Symmetry
Subjects:
energy optimization
genetic algorithms
multi-objective optimization
artificial neural network simulator
Online Access:https://www.mdpi.com/2073-8994/13/2/344

Internet

https://www.mdpi.com/2073-8994/13/2/344

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