2016
DOI: 10.1007/s40808-016-0256-x
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A very fast simulated annealing method for inversion of magnetic anomaly over semi-infinite vertical rod-type structure

Abstract: A very fast simulated annealing (VFSA) global optimization method is used to interpret and modeling of magnetic anomaly over a vertically magnetized semi-infinite vertical rod-type structure. The results of VFSA optimization reveal that various parameters show a number of equivalent solutions when shape of the target body is unidentified and shape factor is also optimized together with other model parameters. The study reveals that restricting the shape factor to its actual value gives the utmost reliable resu… Show more

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Cited by 33 publications
(27 citation statements)
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“…Many linear and linearized inversions such as least squares, linearized least squares, normalized local wave number method, analytic signal derivatives, second-horizontal derivatives, Euler deconvolution method, simplex algorithm, fair function minimization have also been developed (McGrath and Hood 1973;Silva 1989;Salem and Ravat 2003;Salem et al 2004;Salem 2005;Salem and Smith 2005;Tlas and Asfahani 2011a, b;Abdelrahman and Essa 2015;Tlas and Asfahani 2015). Global optimization methods such as simulated annealing, very fast simulated annealing, regularized inversion, particle swarm optimization and higher-order horizontal derivative methods (Gokturkler and Balkaya 2012;Sharma and Biswas 2013;Biswas and Sharma 2014a, b;Mehanee 2014a, b;Biswas 2015;Singh and Biswas 2015;Biswas 2016;Biswas and Acharya 2016;Ekinci 2016) have been effectively applied to solve nonlinear parametric inversion problems. A combined work of various other modeling methods can be found in Abo-Ezz and Essa (2016), Abdelrahman and Essa (2005) and Abdelrahman et al (2003Abdelrahman et al ( , 2009Abdelrahman et al ( , 2012.…”
Section: Introductionmentioning
confidence: 99%
“…Many linear and linearized inversions such as least squares, linearized least squares, normalized local wave number method, analytic signal derivatives, second-horizontal derivatives, Euler deconvolution method, simplex algorithm, fair function minimization have also been developed (McGrath and Hood 1973;Silva 1989;Salem and Ravat 2003;Salem et al 2004;Salem 2005;Salem and Smith 2005;Tlas and Asfahani 2011a, b;Abdelrahman and Essa 2015;Tlas and Asfahani 2015). Global optimization methods such as simulated annealing, very fast simulated annealing, regularized inversion, particle swarm optimization and higher-order horizontal derivative methods (Gokturkler and Balkaya 2012;Sharma and Biswas 2013;Biswas and Sharma 2014a, b;Mehanee 2014a, b;Biswas 2015;Singh and Biswas 2015;Biswas 2016;Biswas and Acharya 2016;Ekinci 2016) have been effectively applied to solve nonlinear parametric inversion problems. A combined work of various other modeling methods can be found in Abo-Ezz and Essa (2016), Abdelrahman and Essa (2005) and Abdelrahman et al (2003Abdelrahman et al ( , 2009Abdelrahman et al ( , 2012.…”
Section: Introductionmentioning
confidence: 99%
“…Measurements of the total gradient of the magnetic field may also be made (Biswas et al, 2017). The shape dimensions, and amplitude of an induced magnetic anomaly are a function of the orientation, geometry, size, depth, and magnetic susceptibility of the body as well as the intensity and inclination of the earth's magnetic field in the survey area (Biswas, 2018(Biswas, , 2016Biswas and Acharya, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Author(s) agree that this article remain permanently open access under the terms of the Creative Commons Attribution License 4.0 International License rocks. The shape dimensions, and amplitude of an induced magnetic signature is a function of the orientation, geometry, size, depth, and magnetic susceptibility of the body as well as the intensity and inclination of the earth's magnetic field in the survey area (Biswas, 2018(Biswas, , 2016Biswas and Acharya, 2016).…”
Section: Introductionmentioning
confidence: 99%