Applications of Computational Intelligence in Behavior Simulation of Concrete Materials

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

  author =       "Amir Hossein Gandomi and Amir Hossein Alavi",
  title =        "Applications of Computational Intelligence in Behavior
                 Simulation of Concrete Materials",
  booktitle =    "Computational Optimization and Applications in
                 Engineering and Industry",
  editor =       "Xin-She Yang and Slawomir Koziel",
  year =         "2011",
  volume =       "359",
  series =       "Studies in Computational Intelligence",
  chapter =      "9",
  pages =        "221--243",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-20985-7",
  DOI =          "doi:10.1007/978-3-642-20986-4_9",
  abstract =     "The application of Computational Intelligence (CI) to
                 structural engineering design problems is relatively
                 new. This chapter presents the use of the CI
                 techniques, and specifically Genetic Programming (GP)
                 and Artificial Neural Network (ANN) techniques, in
                 behaviour modelling of concrete materials. We first
                 introduce two main branches of GP, namely Tree-based
                 Genetic Programming (TGP) and Linear Genetic
                 Programming (LGP), and two variants of ANNs, called
                 Multi Layer Perceptron (MLP) and Radial Basis Function
                 (RBF). The simulation capabilities of these techniques
                 are further demonstrated by applying them to two
                 conventional concrete material cases. The first case is
                 simulation of concrete compressive strength using mix
                 properties and the second problem is prediction of
                 elastic modulus of concrete using its compressive

Genetic Programming entries for A H Gandomi A H Alavi