New design equations for assessment of load carrying capacity of castellated steel beams: a machine learning approach
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Aminian:2013:NCA,
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author = "Pejman Aminian and Hadi Niroomand and
Amir Hossein Gandomi and Amir Hossein Alavi and
Milad {Arab Esmaeili}",
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title = "New design equations for assessment of load carrying
capacity of castellated steel beams: a machine learning
approach",
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journal = "Neural Computing and Applications",
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year = "2013",
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volume = "23",
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number = "1",
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pages = "119--131",
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month = jul,
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keywords = "genetic algorithms, genetic programming, Linear
genetic programming, Castellated beam, Load carrying
capacity, Simulated annealing, Formulation",
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publisher = "Springer",
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language = "English",
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ISSN = "0941-0643",
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URL = "http://link.springer.com/article/10.1007%2Fs00521-012-1138-4",
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DOI = "doi:10.1007/s00521-012-1138-4",
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size = "13 pages",
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abstract = "This paper presents an innovative machine learning
approach for the formulation of load carrying capacity
of castellated steel beams (CSB). New design equations
were developed to predict the load carrying capacity of
CSB using linear genetic programming (LGP), and an
integrated search algorithm of genetic programming and
simulated annealing, called GSA. The load capacity was
formulated in terms of the geometrical and mechanical
properties of the castellated beams. An extensive trial
study was carried out to select the most relevant input
variables for the LGP and GSA models. A comprehensive
database was gathered from the literature to develop
the models. The generalisation capabilities of the
models were verified via several criteria. The
sensitivity of the failure load of CSB to the
influencing variables was examined and discussed. The
employed machine learning systems were found to be
effective methods for evaluating the failure load of
CSB. The prediction performance of the optimal LGP
model was found to be better than that of the GSA
model.",
- }
Genetic Programming entries for
Pejman Aminian
Hadi Niroomand
A H Gandomi
A H Alavi
Milad Arab Esmaeili
Citations