Application of multi-objective genetic algorithm to optimize energy efficiency and thermal comfort in building design

•We present a multi-objective optimization model that assist green building design.•We use an improved multi-objective genetic algorithm (NSGA-II) as theory basis.•We present a case study with the aid of the multi-objective approach. Several conflicting criteria exist in building design optimization...

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Veröffentlicht in:	Energy and buildings Jg. 88; S. 135 - 143
Hauptverfasser:	Yu, Wei, Li, Baizhan, Jia, Hongyuan, Zhang, Ming, Wang, Di
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.02.2015
Schlagworte:	Artificial neural network Building design Computer simulation Construction Design of buildings Energy consumption Genetic algorithms Mathematical models Multi-objective genetic algorithm Networks Optimization Thermal comfort China, People's Rep Multi-objective genetic algorithm Energy consumption Thermal comfort Artificial neural network Building design
ISSN:	0378-7788
Online-Zugang:	Volltext
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