Genetic programming and orthogonal least squares: a hybrid approach to modeling the compressive strength of CFRP-confined concrete cylinders

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@Article{Gandomi:2010:JMMS,
  author =       "Amir Hossein Gandomi and Amir Hossein Alavi and 
                 Parvin Arjmandi and Alireza Aghaeifar and Reza Seyednour",
  title =        "Genetic programming and orthogonal least squares: a
                 hybrid approach to modeling the compressive strength of
                 {CFRP-confined} concrete cylinders",
  journal =      "Journal of Mechanics of Materials and Structures",
  year =         "2010",
  volume =       "5",
  number =       "5",
  pages =        "735--753",
  keywords =     "genetic algorithms, genetic programming, orthogonal
                 least squares, CFRP confinement, concrete compressive
                 strength, formulation",
  publisher =    "Mathematical Sciences Publishers",
  ISSN =         "1559-3959",
  URL =          "http://msp.org/jomms/2010/5-5/p03.xhtml",
  DOI =          "doi:10.2140/jomms.2010.5.735",
  size =         "19 pages",
  abstract =     "The main objective of this paper is to apply genetic
                 programming (GP) with an orthogonal least squares (OLS)
                 algorithm to derive a predictive model for the
                 compressive strength of carbon fibre-reinforced plastic
                 (CFRP) confined concrete cylinders. The GP/OLS model
                 was developed based on experimental results obtained
                 from the literature. Traditional GP-based and least
                 squares regression analyses were performed using the
                 same variables and data sets to benchmark the GP/OLS
                 model. A subsequent parametric analysis was carried out
                 and the trends of the results were confirmed via
                 previous laboratory studies. The results indicate that
                 the proposed formula can predict the ultimate
                 compressive strength of concrete cylinders with an
                 acceptable level of accuracy. The GP/OLS results are
                 more accurate than those obtained using GP, regression,
                 or several CFRP confinement models found in the
                 literature. The GP/OLS-based formula is simple and
                 straightforward, and provides a valuable tool for
                 analysis.",
}

Genetic Programming entries for A H Gandomi A H Alavi Parvin Arjmandi Alireza Aghaeifar Reza Seyednour

Citations