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

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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
URI https://vuir.vu.edu.au/id/eprint/37636
DOI 10.3390/su10020336
Official URL https://www.mdpi.com/2071-1050/10/2/336
Subjects Historical > FOR Classification > 1202 Building
Current > Division/Research > College of Science and Engineering
Keywords thermal comfort of buildings; artificial neural network (ANN) model; genetic algorithm
Citations in Scopus 26 - View on Scopus
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