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Third International Conference on Natural Computation (ICNC 2007) (2007)
Haikou, Hainan, China
Aug. 24, 2007 to Aug. 27, 2007
ISBN: 0-7695-2875-9
pp: 644-648
Dazhi Jiang , Wuhan University, China
Zhijian Wu , Wuhan University, China
Lishan Kang , Wuhan University, China
As for inverse problem, there exist lots of traditional mathematic and physical methods. In recent years, the burgeoning evolutionary algorithms have been widely utilized in many areas. Their global optimization, parallelism, and effectiveness are widely applied to functional optimization problems. A method based on Gene Expression Programming is presented in this paper for identifying the parameter in inverse problems. The results show that the new method is very effective for solving the inverse problem even for the case with large noise in the observation data.

Z. Wu, L. Kang and D. Jiang, "Parameter Identifications In Differential Equations By Gene Expression Programming," Third International Conference on Natural Computation (ICNC 2007)(ICNC), Haikou, Hainan, China, 2007, pp. 644-648.
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