Intelligent Modeling and Prediction of Elastic Modulus of Concrete Strength via Gene Expression Programming

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@InProceedings{conf/swarm/GandomiATY13,
  author =       "Amir Hossein Gandomi and Amir Hossein Alavi and 
                 T. O. Ting and Xin-She Yang",
  title =        "Intelligent Modeling and Prediction of Elastic Modulus
                 of Concrete Strength via Gene Expression Programming",
  booktitle =    "Proceedings of the 4th International Conference on
                 Advances in Swarm Intelligence, ICSI 2013, Part {I}",
  year =         "2013",
  editor =       "Ying Tan and Yuhui Shi and Hongwei Mo",
  volume =       "7928",
  series =       "Lecture Notes in Computer Science",
  pages =        "564--571",
  address =      "Harbin, China",
  month =        jun # " 12-15",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, Gene
                 expression programming, Tangent elastic modulus, Normal
                 and High strength concrete, Compressive strength,
                 Formulation",
  isbn13 =       "978-3-642-38702-9",
  bibdate =      "2013-05-23",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/swarm/icsi2013-1.html#GandomiATY13",
  DOI =          "doi:10.1007/978-3-642-38703-6_66",
  size =         "8 pages",
  abstract =     "The accurate prediction of the elastic modulus of
                 concrete can be very important in civil engineering
                 applications. We use gene expression programming (GEP)
                 to model and predict the elastic modulus of
                 normal-strength concrete (NSC) and high-strength
                 concrete (HSC). The proposed models can relate the
                 modulus of elasticity of NSC and HSC to their
                 compressive strength, based on reliable experimental
                 databases obtained from the published literature. Our
                 results show that GEP can be an effective method for
                 deriving simplified and precise formulations for the
                 elastic modulus of NSC and HSC. Furthermore, the
                 comparison study in the present work indicates that the
                 GEP predictions are more accurate than other methods.",
}

Genetic Programming entries for A H Gandomi A H Alavi T O Ting Xin-She Yang

Citations