On the Application of Genetic Programming for New Generation of Ground Motion Prediction Equations

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@InCollection{Mousavi:2015:hbgpa,
  author =       "Mehdi Mousavi and Alireza Azarbakht and 
                 Sahar Rahpeyma and Ali Farhadi",
  title =        "On the Application of Genetic Programming for New
                 Generation of Ground Motion Prediction Equations",
  booktitle =    "Handbook of Genetic Programming Applications",
  publisher =    "Springer",
  year =         "2015",
  editor =       "Amir H. Gandomi and Amir H. Alavi and Conor Ryan",
  chapter =      "11",
  pages =        "289--307",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-319-20882-4",
  DOI =          "doi:10.1007/978-3-319-20883-1_11",
  abstract =     "The ground-motion prediction equations (GMPEs)
                 generally predict ground-motion intensities such as
                 peak ground acceleration (PGA), peak ground velocity
                 (PGV), and response spectral acceleration (SA), as a
                 functional form of magnitude, site-to-source distance,
                 site condition, and other seismological parameters. An
                 adequate prediction of the expected ground motion
                 intensities plays a fundamental role in practical
                 assessment of seismic hazard analysis, thus GMPEs are
                 known as the most potent elements that conspicuously
                 affect the Seismic Hazard Analysis (SHA). Recently,
                 beside two common traditional methodologies, i.e.
                 empirical and physical relationships, the application
                 of Genetic Programming, as an optimization technique
                 based on the Evolutionary Algorithms (EA), has taken on
                 vast new dimensions. During recent decades, the
                 complexity of obtaining an appropriate predictive model
                 leads to different studies that aim to achieve Genetic
                 Programming-based GMPEs. In this chapter, the concepts,
                 methodologies and results of different studies
                 regarding driving new ground motion relationships based
                 on Genetic Programming are discussed.",
}

Genetic Programming entries for Mehdi Mousavi Alireza Azarbakht Saharalsadat Rahpeyma Ali Farhadi

Citations