2008
DOI: 10.1016/j.jhydrol.2008.06.018
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Vertical electrical sounding survey and resistivity inversion using genetic algorithm optimization technique

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Cited by 44 publications
(14 citation statements)
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“…Some genetic algorithms that use a 1D conceptual model for the interpretation of vertical electrical sounding data have been described by Başokur et al (2007), Fernández Alvarez et al (2008), Jha et al (2008) and Sen and Stoffa (1995). Chunduru et al (1995) compared global methods for the interpretation of apparent resistivity profiling data by using some regular geometrical bodies, such as a dike and a sphere.…”
Section: Parameter Estimation Methodsmentioning
confidence: 99%
“…Some genetic algorithms that use a 1D conceptual model for the interpretation of vertical electrical sounding data have been described by Başokur et al (2007), Fernández Alvarez et al (2008), Jha et al (2008) and Sen and Stoffa (1995). Chunduru et al (1995) compared global methods for the interpretation of apparent resistivity profiling data by using some regular geometrical bodies, such as a dike and a sphere.…”
Section: Parameter Estimation Methodsmentioning
confidence: 99%
“…The promising results obtained so far suggest that GA can be successfully applied to other areas of geophysics, including resistivity inverse problems. For example, Jha et al, [10] developed GA optimization technique for resistivity inversion from vertical electrical sounding (VES) using computer code in 'C' programming language. In this paper, we provide and test Matlab code that calculates an inversion of the apparent resistivity of a layered earth in VES.…”
Section: Introductionmentioning
confidence: 99%
“…Davis [2], Nagai et al, [6]; Jha et al, [10]; Kohlbeck and Mawlood [11], Hamimu et al, [8,9]. However, FORTRAN and C programming languages impose a rather expensive burden on users in integrating complicated numerical algorithms with visual data analysis compared with MATLAB, which provides integrated functionality of computation and visualization.…”
Section: Introductionmentioning
confidence: 99%
“…5, 3, 4, 6, 8, 10, 12.15, 18, 21, 25, 30, 35, 40, 45, and 50 m. The YES measuring equipment used was an ABEM Terrameter SAS 1000 resistivity system. The YES data were processed with a global optimization technique based on a genetic algorithm [14]. This algorithm has some advantages compared with gradient based (i.e.…”
Section: Introductionmentioning
confidence: 99%