Optimization of existing equations using a new Genetic Programming algorithm: Application to the shear strength of reinforced concrete beams
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- @Article{Perez201282,
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author = "Juan L. Perez and Antoni Cladera and
Juan R. Rabunal and Fernando Martinez-Abella",
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title = "Optimization of existing equations using a new Genetic
Programming algorithm: Application to the shear
strength of reinforced concrete beams",
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journal = "Advances in Engineering Software",
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volume = "50",
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pages = "82--96",
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year = "2012",
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note = "CIVIL-COMP",
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ISSN = "0965-9978",
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DOI = "doi:10.1016/j.advengsoft.2012.02.008",
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URL = "http://www.sciencedirect.com/science/article/pii/S0965997812000397",
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keywords = "genetic algorithms, genetic programming, Artificial
intelligence, Structural engineering, Concrete, Shear
strength, Regression analysis",
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abstract = "A method based on Genetic Programming (GP) to improve
previously known empirical equations is presented. From
a set of experimental data, the GP may improve the
adjustment of such formulae through the symbolic
regression technique. Through a set of restrictions,
and the indication of the terms of the expression to be
improved, GP creates new individuals. The methodology
allows us to study the need of including new variables
in the expression. The proposed method is applied to
the shear strength of concrete beams. The results show
a marked improvement using this methodology in relation
to the classic GP and international code procedures.",
- }
Genetic Programming entries for
Juan Luis Perez
Antoni Cladera Bohigas
Juan Ramon Rabunal Dopico
Fernando Martinez Abella
Citations