Multi-objective optimization of a building envelope for thermal performance using genetic algorithms and artificial neural network

Energy and Buildings

Volumn 67, Issue , 2013, Pages 253-260

  Gossard, D ^a   Lartigue, B ^a   Thellier, F ^a  

^a UNIVERSITÉ DE TOULOUSE   (France)

Author keywords

ANN; Building envelope; Comfort degree; Energy performance; Genetic algorithm; Multi objective optimization

Indexed keywords

ANN; ANNUAL ENERGY CONSUMPTION; BUILDING ENVELOPES; CLASSICAL OPTIMIZATION; COMFORT DEGREE; COMPUTATIONAL REQUIREMENTS; ENERGY PERFORMANCE; OPTIMIZATION TECHNIQUES;

DESIGN OF EXPERIMENTS; ENERGY EFFICIENCY; ENERGY UTILIZATION; GENETIC ALGORITHMS; HOUSING; MULTIOBJECTIVE OPTIMIZATION; NEURAL NETWORKS; SOLAR BUILDINGS; THERMODYNAMIC PROPERTIES;

THERMAL CONDUCTIVITY;

EID: 84884313016     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2013.08.026     Document Type: Article

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