Application of genetic programming for modelling of material characteristics
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- @Article{Gusel201115014,
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author = "Leo Gusel and Miran Brezocnik",
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title = "Application of genetic programming for modelling of
material characteristics",
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journal = "Expert Systems with Applications",
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volume = "38",
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number = "12",
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pages = "15014--15019",
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year = "2011",
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ISSN = "0957-4174",
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DOI = "doi:10.1016/j.eswa.2011.05.045",
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URL = "http://www.sciencedirect.com/science/article/pii/S0957417411008293",
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keywords = "genetic algorithms, genetic programming, Evolutionary
computation, Modelling, Metal forming, Material
characteristics",
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abstract = "Genetic programming, which is one of the most general
evolutionary computation methods, was used in this
paper for the modelling of tensile strength and
electrical conductivity in cold formed material. No
assumptions about the form and size of expressions were
made in advance, but they were left to the self
organisation and intelligence of evolutionary process.
Genetic programming does this by genetically breeding a
population of computer programs using the principles of
Darwinian's natural selection and biologically inspired
operations. In our research, copper alloy was cold
formed by drawing using different process parameters
and then tensile strengths and electrical conductivity
(dependent variables) of the specimens were determined.
The values of independent variables (effective strain,
coefficient of friction) influence the value of the
dependent variables. Many different genetic models for
both dependent variables were developed by genetic
programming. The accuracies of the best models were
proved by a testing data set. Also, comparison between
the genetic and regression models is presented in the
paper. The research showed that very accurate genetic
models can be obtained by the proposed method.",
- }
Genetic Programming entries for
Leo Gusel
Miran Brezocnik
Citations