Evolution of glass forming ability indicator by genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @Article{Tripathi:2016:CMS,
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author = "Manwendra K. Tripathi and Subhas Ganguly and
Partha Dey and P. P. Chattopadhyay",
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title = "Evolution of glass forming ability indicator by
genetic programming",
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journal = "Computational Materials Science",
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volume = "118",
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pages = "56--65",
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year = "2016",
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ISSN = "0927-0256",
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DOI = "doi:10.1016/j.commatsci.2016.02.037",
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URL = "http://www.sciencedirect.com/science/article/pii/S0927025616300763",
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abstract = "A symbolic regression technique has been employed to
evolve the functional relationship among the
characteristic transformation temperatures, viz. glass
transition temperature (Tg), onset crystallization
temperature (Tx) and offset temperature of melting (Tl)
concerning glass forming ability (GFA) of bulk metallic
glasses (BMGs). The critical diameters (Dmax) of 410
reported BMGs, along with their Tg, Tx and Tl values,
forms the training data, for a genetic programming
based computer code which attempts to evolve an
expression leading to high correlation with Dmax as the
target variable. Another set of recently reported 184
BMGs data, is used to assess the performance of the
evolved expression. The evolved expression shows
significantly improved correlations with critical
diameter Dmax, for training data, test data and
training and test data considered together. The same
also compares well with the high correlation GFA
indicators reported earlier in the literature.",
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keywords = "genetic algorithms, genetic programming, Glass forming
ability, GFA criteria, Bulk metallic glass",
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notes = "National Institute of Technology Raipur, Raipur
492010, India",
- }
Genetic Programming entries for
Manwendra K Tripathi
Subhas Ganguly
Partha Pratim Dey
P P Chattopadhyay
Citations