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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Energy and buildings Ročník 88; s. 135 - 143
Hlavní autori:	Yu, Wei, Li, Baizhan, Jia, Hongyuan, Zhang, Ming, Wang, Di
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.02.2015
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!