Prediction of blast-induced ground vibrations via genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Saeid R. Dindarloo",
  title =        "Prediction of blast-induced ground vibrations via
                 genetic programming",
  journal =      "International Journal of Mining Science and
  volume =       "25",
  number =       "6",
  pages =        "1011--1015",
  year =         "2015",
  ISSN =         "2095-2686",
  DOI =          "doi:10.1016/j.ijmst.2015.09.020",
  URL =          "",
  abstract =     "Excessive ground vibrations, due to blasting, can
                 cause severe damages to the nearby area. Hence, the
                 blast-induced ground vibration prediction is an
                 essential tool for both evaluating and controlling the
                 adverse consequences of blasting. Since there are
                 several effective variables on ground vibrations that
                 have highly nonlinear interactions, no comprehensive
                 model of the blast-induced vibrations are available. In
                 this study, the genetic expression programming
                 technique was employed for prediction of the frequency
                 of the adjacent ground vibrations. Nine input variables
                 were used for prediction of the vibration frequencies
                 at different distances from the blasting face. A high
                 coefficient of determination with low mean absolute
                 percentage error (MAPE) was achieved that demonstrated
                 the suitability of the algorithm in this case. The
                 proposed model outperformed an artificial neural
                 network model that was proposed by other authors for
                 the same dataset.",
  keywords =     "genetic algorithms, genetic programming, Blasting,
                 Ground vibration, Artificial neural networks",

Genetic Programming entries for Saeid R Dindarloo