DocumentCode
419073
Title
An evolutionary algorithm for solving parameter identification problems in elliptic systems
Author
Wu, Zhijian ; Tang, Zhilong ; Zou, Jun ; Kang, Lishan ; Li, Mingbiao
Author_Institution
State Key Lab. of Software Eng., Wuhan Univ., China
Volume
1
fYear
2004
fDate
19-23 June 2004
Firstpage
803
Abstract
In this paper, we construct an evolutionary algorithm. It yields good performance on a collection of elliptic parameter identification problems. The evolutionary algorithm has a good tolerability for the noise in the observed data. Even when the noise level is up to 10%, we can also get such a good result. The result of numerical experiments shows explicitly that the algorithm is very fit for solving this kind of inverse problem but not very sensitive to the noise.
Keywords
evolutionary computation; inverse problems; parameter estimation; elliptic systems; evolutionary algorithm; inverse problem; parameter identification; Computer science; Data engineering; Educational institutions; Evolutionary computation; Inverse problems; Laboratories; Mathematics; Noise level; Parameter estimation; Software engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN
0-7803-8515-2
Type
conf
DOI
10.1109/CEC.2004.1330942
Filename
1330942
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