Identification of factors governing mechanical properties of TRIP-aided steel using genetic algorithms and neural networks

Materials and Manufacturing Processes

Volumn 23, Issue 2, 2008, Pages 130-137

  Datta, Shubhabrata ^a   Pettersson, Frank ^b   Ganguly, Subhas ^a   Saxén, Henrik ^b   Chakraborti, Nirupam ^c  

^a INDIAN INSTITUTE OF ENGINEERING SCIENCE AND TECHNOLOGY   (India)

^b ÅBO AKADEMI UNIVERSITY   (Finland)

^c INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Alloy design; Evolutionary algorithms; Genetic algorithms; Multi objective optimization; Neural network; Predator prey; Pruning algorithm; TRIP aided steel

Indexed keywords

COMPUTATIONAL COMPLEXITY; ERROR ANALYSIS; GENETIC ALGORITHMS; NEURAL NETWORKS; PLASTICITY;

ALLOY DESIGN; MULTI OBJECTIVE OPTIMIZATION; PREDATOR PREY ALGORITHMS; PRUNING ALGORITHMS; STEEL COMPOSITION; TRANSFORMATION INDUCED PLASTICITY;

STEEL;

EID: 37849019979     PISSN: 10426914     EISSN: 15322475     Source Type: Journal    
DOI: 10.1080/10426910701774528     Document Type: Article

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