Multi-objective optimization for building retrofit: A model using genetic algorithm and artificial neural network and an application

Energy and Buildings

Volumn 81, Issue , 2014, Pages 444-456

  Asadi, Ehsan ^a,b   Silva, Manuel Gameiro Da ^b   Antunes, Carlos Henggeler ^a,c   Dias, Luís ^c,d   Glicksman, Leon ^e  

^a UNIVERSITY OF COIMBRA   (Portugal)

^b UNIVERSITY OF COIMBRA   (Portugal)

^c INESC COIMBRA   (Portugal)

^d UNIVERSITY OF COIMBRA   (Portugal)

^e MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Artificial neural network; Building retrofit; Energy efficiency; Genetic algorithm; Multi objective optimization; Thermal comfort

Indexed keywords

ALGORITHMS; ENERGY EFFICIENCY; ENERGY UTILIZATION; GENETIC ALGORITHMS; GREENHOUSE GASES; MATHEMATICAL MODELS; NEURAL NETWORKS; RETROFITTING; SUSTAINABLE DEVELOPMENT; THERMAL COMFORT; MULTIOBJECTIVE OPTIMIZATION;

BUILDING RETROFITS; BUILT ENVIRONMENT; CONFLICTING OBJECTIVES; MULTI-OBJECTIVE OPTIMIZATION MODELS; OBJECTIVE FUNCTIONS; POTENTIAL PROBLEMS; RETROFIT ACTIONS; TECHNOLOGY CHOICES;

MULTIOBJECTIVE OPTIMIZATION; NEURAL NETWORKS;

EID: 84905044286     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2014.06.009     Document Type: Article

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