Building performance optimization for university dormitory through integration of digital gene map into multi-objective genetic algorithm

•A multi-objective approach was proposed to optimize the dormitory building design.•We proposed the digital gene map for the university dormitory building.•Most important building performance evaluation criteria were employed in the MOGA.•Optimized solutions can provide some suitable trade-offs betw...

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Veröffentlicht in:	Applied energy Jg. 307; S. 118211
Hauptverfasser:	Chi, Fang'ai, Xu, Ying
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.02.2022
Schlagworte:	algorithms Digital gene map electricity energy Energy consumption genes Multi-objective genetic algorithm statistics Thermal comfort Visual comfort Multi-objective genetic algorithm Visual comfort Energy consumption Thermal comfort Digital gene map
ISSN:	0306-2619, 1872-9118
Online-Zugang:	Volltext
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