New Ground-Motion Prediction Equations Using Multi Expression Programing

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Amir Hossein Alavi and Amir Hossein Gandomi and 
                 Minoo Modaresnezhad and Mehdi Mousavi",
  title =        "New Ground-Motion Prediction Equations Using Multi
                 Expression Programing",
  journal =      "Journal of Earthquake Engineering",
  year =         "2011",
  volume =       "15",
  number =       "4",
  pages =        "511--536",
  keywords =     "genetic algorithms, genetic programming,
                 Multi-Expression Programming, Time-Domain Ground-Motion
                 Parameters, Attenuation Relationship, Nonlinear
  ISSN =         "1363-2469",
  URL =          "",
  DOI =          "doi:10.1080/13632469.2010.526752",
  size =         "26 pages",
  abstract =     "High-precision attenuation models were derived to
                 estimate peak ground acceleration (PGA), velocity
                 (PGV), and displacement (PGD) using a new variant of
                 genetic programming, namely multi expression
                 programming (MEP). The models were established based on
                 an extensive database of ground-motion recordings
                 released by Pacific Earthquake Engineering Research
                 Center (PEER). For more validity verification, the
                 models were employed to predict the ground-motion
                 parameters of the Iranian plateau earthquakes. The
                 results indicate that the MEP attenuation models are
                 capable of effectively estimating the peak
                 ground-motion parameters. The proposed models are able
                 to reach a prediction performance comparable with the
                 attenuation relationships found in the literature.",

Genetic Programming entries for A H Alavi A H Gandomi Minoo Modaresnezhad Mehdi Mousavi