Hybridizing Genetic Programming with Orthogonal Least Squares for Modeling of Soil Liquefaction
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- @Article{Gandomi:2013:IREHM,
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author = "Amir Hossein Gandomi and Amir Hossein Alavi",
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title = "Hybridizing Genetic Programming with Orthogonal Least
Squares for Modeling of Soil Liquefaction",
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journal = "International Journal of Earthquake Engineering and
Hazard Mitigation",
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year = "2013",
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volume = "1",
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number = "1",
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pages = "2--8",
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month = sep,
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keywords = "genetic algorithms, genetic programming, Orthogonal
Least Square, Modelling, Soil Liquefaction, Capacity
Energy, Formulation",
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ISSN = "2282-7226",
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URL = "http://www.praiseworthyprize.it/public/papers/paper.asp?journal=IREHM&idpaper=13484&issue=VOL_1_N_1",
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size = "7 pages",
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abstract = "Precise estimation of the strain energy density
required to trigger soil liquefaction, denoted as
capacity energy, has been the focus of many studies.
The main objective of this paper is to develop a robust
prediction model for the soil capacity energy using a
novel hybrid technique coupling genetic programming
with orthogonal least squares, called GP/OLS. The
proposed model was developed upon experimental results
collected through a literature review. A traditional
genetic programming analysis was performed to benchmark
the GP/OLS model. The predictions made by the derived
model were found to be more accurate than those
provided by the genetic programming and other existing
models. A subsequent parametric study was carried out
and the trends of the results were confirmed via some
previous laboratory studies.",
- }
Genetic Programming entries for
A H Gandomi
A H Alavi
Citations