Optimization of concrete hollow brick using hybrid genetic algorithm combining with artificial neural networks

International Journal of Heat and Mass Transfer

Volumn 53, Issue 23-24, 2010, Pages 5509-5518

  Sun, Jiapeng ^a   Fang, Liang ^a,b   Han, Jing ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

Author keywords

Artificial neural networks; Concrete hollow brick; Equivalent thermal conductivity; Genetic algorithm; Multi mode heat transfer; Optimization

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DESIGN PARAMETERS; EQUIVALENT THERMAL; HEAT TRANSFER CHARACTERISTICS; HEAT TRANSFER SIMULATION; HOLLOW BRICKS; HYBRID GENETIC ALGORITHMS; MINIMUM DISTANCE; MODIFIED LATIN HYPERCUBE SAMPLINGS; MULTIMODES; NOVEL METHODS; POSITION PARAMETERS; ROBUST DECISIONS; SMALL ENCLOSURES; STAGGERED ARRANGEMENT; STRUCTURE OPTIMIZATION; VARIABLE SHAPE; VOID VOLUME FRACTION; WALL THICKNESS;

BRICK; BRICKMAKING; ENCLOSURES; GENETIC ALGORITHMS; HEAT TRANSFER; STRUCTURAL OPTIMIZATION; THERMAL CONDUCTIVITY; THERMOANALYSIS; VOID FRACTION;

NEURAL NETWORKS;

EID: 77956055766     PISSN: 00179310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijheatmasstransfer.2010.07.006     Document Type: Article

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