Soft Computing in Earthquake Engineering: a Short Overview

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

  author =       "Iztok Fister and Amir H. Gandomi and 
                 Iztok {Fister, Jr.} and Mehdi Mousavi and Ali Farhadi",
  title =        "Soft Computing in Earthquake Engineering: a Short
  journal =      "International Journal of Earthquake Engineering and
                 Hazard Mitigation",
  year =         "2014",
  volume =       "2",
  number =       "2",
  pages =        "42--48",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming, Earthquake
                 Engineering, Optimal Seismic Design, Earthquake
                 Prediction, Data Analysis",
  ISSN =         "2282-7226",
  URL =          "",
  URL =          "[]=15798",
  size =         "7 pages",
  abstract =     "Soft Computing refers to the name for solving the
                 hardest problems with which human are confronted today
                 that tolerates the imprecision, uncertainty, partial
                 truth, and approximation of the solutions. Nature
                 inspired algorithms, like evolutionary algorithms,
                 swarm intelligence, and neural networks become one of
                 the leading methods for solving these problems. The
                 soft computing methods have also been applied for
                 solving the earthquake engineering problems. In this
                 paper, a short review of these methods is presented. In
                 line with this, the problems solved by soft computing
                 algorithms are identified, then, the characteristics of
                 these algorithms are exposed and finally, the
                 applications of the soft computing algorithms are
                 identified. The paper concludes with an overview of the
                 possible directions for further development.",
  notes =        "IREHM

Genetic Programming entries for Iztok Fister A H Gandomi Iztok Fister Jr Mehdi Mousavi Ali Farhadi