The Detection Of Subsurface Inclusions Using Internal Measurements
And Genetic Algorithms
Author(s)
N. S. Mera, L. Elliott & D. B. Ingham
Abstract
The detection of subsurface inclusions using
internal measurements and genetic algorithms
N. S. Meral, L. Elliott2 & D, B, Ingham2
Centre for Computational Fluid Dynamics, Energy and Resources
Research Institute, University of Leeds, UK
2~epartment of Applied Mathematics, University of Leeds, UK
Abstract
An inverse problem is considered to identify the geometry of discontinuities in
a conductive material with anisotropic conductivity from Cauchy data measurements
taken on the boundary. In this study we propose a real coded genetic algorithm
in conjunction with a boundary element method to detect an anisotropic
inclusion, such as a circle, by a single boundary measurement. Numerical results
are presented for both isotropic and anisotropic inclusions. The genetic algorithms
based method developed in this paper is found to be a robust, efficient method for
detecting the size and location of subsurface inclusions.
1 Introduction
We consider the inverse conductivity problem which requires the deter
Keywords
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