DocumentCode
954216
Title
A constrained genetic approach for computing material property of elastic objects
Author
Zhang, Yong ; Hall, Lawrence O. ; Goldgof, Dmitry B. ; Sarkar, Sudeep
Author_Institution
Dept. of Comput. Sci. & Inf. Syst., Youngstown State Univ., OH, USA
Volume
10
Issue
3
fYear
2006
fDate
6/1/2006 12:00:00 AM
Firstpage
341
Lastpage
357
Abstract
This paper presents a constrained genetic approach for reconstructing the material properties of elastic objects. The considered reconstruction problem is ill-posed and must be constrained properly so that a unique and stable numerical solution can be obtained. Qualitative prior information is incorporated using a rank-based scheme to constrain the admissible solutions. Experiments show that the proposed approach is robust when presented with noisy data and can reconstruct the elastic property accurately and reliably. In a comparison study with the deterministic Gauss-Newton methods, the constrained genetic approach also shows very consistent performance.
Keywords
Gaussian processes; Newton method; Young´s modulus; elasticity; genetic algorithms; physics computing; constrained genetic approach; deterministic Gauss-Newton methods; elastic objects; elastic property; material property computation; noisy data; qualitative prior information; rank-based scheme; reconstruction problem; stable numerical solution; Elasticity; Fluid flow measurement; Genetic algorithms; Image reconstruction; Inverse problems; Magnetic properties; Material properties; Nonlinear optics; Optical sensors; Ultrasonic imaging; Constrained genetic algorithm (CGA); elastic property; finite-element model; inverse problem;
fLanguage
English
Journal_Title
Evolutionary Computation, IEEE Transactions on
Publisher
ieee
ISSN
1089-778X
Type
jour
DOI
10.1109/TEVC.2005.860767
Filename
1637692
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