2020
DOI: 10.1108/ijbpa-05-2019-0050
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Energy-saving parameterized design of buildings based on genetic algorithm

Abstract: PurposeWith the problem of environment and energy becoming prominent, energy conservation and emission reduction have received more attention. In the using process, buildings not only have the inherent energy consumption but also have the energy consumption of equipment that is installed for improving the indoor environment. This study aims to investigate how to reduce the energy consumption of buildings through utilizing natural resources.Design/methodology/approachThis paper briefly introduces three objectiv… Show more

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Cited by 8 publications
(3 citation statements)
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“…Yeang, 2008; Al-Kodmany, 2018b, c; Borrallo-Jiménez et al. , 2020; Zhang, 2020). According to Al-Kodmany (2018b, c), these buildings have elements that threaten their social, economic and environmental sustainability.…”
Section: Introductionmentioning
confidence: 99%
“…Yeang, 2008; Al-Kodmany, 2018b, c; Borrallo-Jiménez et al. , 2020; Zhang, 2020). According to Al-Kodmany (2018b, c), these buildings have elements that threaten their social, economic and environmental sustainability.…”
Section: Introductionmentioning
confidence: 99%
“…Analytical methods such as artificial neural networks (ANNs), genetic algorithms, support vector machines (SVMs), random forest (RF), gradient boosting (GB) and multiple linear regression (MLR) have also been used (Gassar and Cha, 2020). However, some of the modelling approaches are sensitive to boundary conditions (Tian et al , 2018; Zhang, 2020).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Field scholars have made great progress in the application of green building materials [9][10][11][12]. With the rapid development of the building materials industry, new-type construction and decoration materials have emerged in large quantity, and some of them have brought serious threat to the indoor environment and human health [13,14].…”
Section: Introductionmentioning
confidence: 99%