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
         
        
        
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/EEEIC.2010.5489927