Paper Info
Title
A Differential Evolution Based Approach to Estimate the Shape and Size of Complex Shaped Anomalies Using EIT Measurements.
Abstract
EIT image reconstruction is an ill-posed problem, the spatial resolution of the estimated conductivity distribution is usually poor and the external voltage measurements are subject to variable noise. Therefore, EIT conductivity estimation cannot be used in the raw form to correctly estimate the shape and size of complex shaped regional anomalies. An efficient algorithm employing a shape based estimation scheme is needed. The performance of traditional inverse algorithms, such as the Newton Raphson method, used for this purpose is below par and depends upon the initial guess and the gradient of the cost functional. This paper presents the application of differential evolution (DE) algorithm to estimate complex shaped region boundaries, expressed as coefficients of truncated Fourier series, using EIT. DE is a simple yet powerful population-based, heuristic algorithm with the desired features to solve global optimization problems under realistic conditions. The performance of the algorithm has been tested through numerical simulations, comparing its results with that of the traditional modified Newton Raphson (mNR) method.
Year
DOI
Venue
2010
10.1007/978-3-642-17625-8_21
Communications in Computer and Information Science
Keywords
Field
DocType
EIT boundary estimation,truncated Fourier series,differential evolution (DE) algorithm
Iterative reconstruction,Inverse,Heuristic (computer science),Mathematical analysis,Voltage,Algorithm,Differential evolution,Fourier series,Image resolution,Mathematics,Newton's method
Conference
Volume
ISSN
Citations 
121
1865-0929
0
PageRank 
References 
Authors
0.34
6
6
Name
Order
Citations
PageRank
Ahmar Rashid1172.98
Anil Kumar Khambampati283.09
Bong Seok Kim3122.94
Dong Liu400.68
Sin Kim562.05
Kyung Youn Kim653.67