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Design optimization considering variable thermal mass, insulation, absorptance of solar radiation, and glazing ratio using a prediction model and genetic algorithm

Lin, Y, Zhou, S, Yang, Wei ORCID: 0000-0002-3673-6488 and Li, CQ (2018) Design optimization considering variable thermal mass, insulation, absorptance of solar radiation, and glazing ratio using a prediction model and genetic algorithm. Sustainability (Switzerland), 10 (2). ISSN 2071-1050

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Item Type: Article
Uncontrolled Keywords: thermal comfort of buildings; artificial neural network (ANN) model; genetic algorithm
Subjects: FOR Classification > 1202 Building
Faculty/School/Research Centre/Department > College of Science and Engineering
Depositing User: Symplectic Elements
Date Deposited: 06 Dec 2018 04:49
Last Modified: 06 Dec 2018 04:49
URI: http://vuir.vu.edu.au/id/eprint/37636
DOI: https://doi.org/10.3390/su10020336
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Citations in Scopus: 5 - View on Scopus

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