• DocumentCode
    2716641
  • Title

    Genetic algorithm applied in a geoelectrical prospecting method

  • Author

    Calixto, Wesley Pacheco ; Neto, Luciano Martins ; Wu, Marcel ; Yamanaka, Keiji ; Filho, Hipólito Barbosa Machado

  • Author_Institution
    Grounding Syst. Nucleus, R&D, Univ. Fed. of Uberlandia, Uberlandia, Brazil
  • fYear
    2010
  • fDate
    16-19 May 2010
  • Firstpage
    297
  • Lastpage
    300
  • Abstract
    This work presents an optimization methodology using a Genetic Algorithm, to obtain the parameters of a soil that can be represented in a multi layer structure. The method uses a curve of experimental apparent resistivity obtained from measurements made in the soil. This experimental curve is compared with another curve of theoretical apparent resistivity of the soil, produced by the genetic algorithm. The main difference of this method regarding the already developed methods, is just that, besides optimizing the resistivities ρi and the thicknesses hi of each layer, the proposed method also optimizes the layers N quantity, seeking the best soil stratification. The obtained results of this work are compared with others soil stratification methods.
  • Keywords
    genetic algorithms; geophysical techniques; soil; terrestrial electricity; apparent resistivity; genetic algorithm; geoelectrical prospecting method; multilayer structure; soil stratification methods; Conductivity; Electric potential; Electric resistance; Electrical resistance measurement; Electrodes; Genetic algorithms; Geologic measurements; Laboratories; Optimization methods; Soil measurements; Apparent Resistivity; Genetic Algorithm; Geoelectrical Prospecting; Simulation; Soil Stratification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2010 9th International Conference on
  • Conference_Location
    Prague
  • Print_ISBN
    978-1-4244-5370-2
  • Electronic_ISBN
    978-1-4244-5371-9
  • Type

    conf

  • DOI
    10.1109/EEEIC.2010.5489927
  • Filename
    5489927