DocumentCode :
498874
Title :
Genetic algorithm reseach and application in parameter identification inverse problem
Author :
Peng, Ya-mian ; Liu, Chun-Feng ; Yang, Ai-min ; Chang, Jin-cai ; Ji, Nan
Author_Institution :
Coll. of Sci., Hebei Polytech. Univ., Tangshan, China
Volume :
3
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
1749
Lastpage :
1753
Abstract :
The parameter identification inverse problem is a kind of important practical problem in many science fields. The two-dimensional convection-diffusion equation was introduced in this paper and we try to solve its parameter identification inverse problem by the genetic algorithm. The finite element method was illustrated to solve the steady problem of two-dimensional convection-diffusion equation before we compute parameter identification inverse problem each time. By using genetic algorithm, we can search the best approximate solution from many initial points and obtained the global optimum solution by means of crossover operator and mutation operator. The results of numerical simulation shows that the genetic algorithm have the higher accuracy and the quicker convergent speed. And it is easy to program and calculate and of great applicable in practice.
Keywords :
finite element analysis; genetic algorithms; inverse problems; parameter estimation; crossover operator; finite element method; genetic algorithm; mutation operator; parameter identification inverse problem; two-dimensional convection-diffusion equation; Cybernetics; Educational institutions; Equations; Finite element methods; Genetic algorithms; Genetic mutations; Inverse problems; Machine learning; Numerical simulation; Parameter estimation; Convection-diffusion equation; Genetic algorithm; Inverse problem; Parameter identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212248
Filename :
5212248
Link To Document :
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