Parameter identification in a 3-D groundwater flow numerical model: An improved genetic algorithm and the gauss-Newton method

Jisuan Wuli/Chinese Journal of Computational Physics

Volumn 22, Issue 4, 2005, Pages 311-318

  Yao, Lei Hua ^a  

^a CHINA UNIVERSITY OF GEOSCIENCES   (China)

Author keywords

Gauss Newton method; Genetic algorithm; Groundwater flow numerical model; Parameters; United inversing method

Indexed keywords

FINITE ELEMENT METHOD; GENETIC ALGORITHMS; HYDROGEOLOGY; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; OPTIMIZATION;

GAUSS NEWTON METHOD; NONLINEAR OPTIMIZATION PROBLEMS; SOLUTION PRECISION; UNITED INVERSING METHOD;

GROUNDWATER FLOW;

EID: 23444451925     PISSN: 1001246X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. Neuman S P. Calibration of distributed parameter groundwater flow models viewed as a multiple-objective decision process under uncertainty [J]. Water Resources Research, 1973, 9(4): 1006-1021.
2. Willis Robert, Yeh William W-G. Groundwater Systems Planning and Management [M]. New Jersey, Prentice-Hall, Inc. 1987.
3. Li Jingsheng, Elsworth Derek. A modified Gauss-Newton method for aquifer parameter identification [J]. Ground Water, 1995, 33(4): 662-668.
4. Harrowni K E I, Ouazar D, Cheng A H-D. Boundary and parameter identification using genetic algorithms and boundary element method [A]. 1996, Proc of Computer Method and Water Resources 111 [C]. Beirut, Lebanon, Computational Mechanics publications. 1996. 487-496.
5. Michalewicz Z. Genetic Algorithms + Data Structures = Evolution Programs [M]. Berlin, HeidelBerg: Springer-Verlag, 1996.
6. De Jong K A. An Analysis of the Behavior of a Class of Genetic Adaptive System [D]. Univ of Mich, Press Ann Arbor, 1975.
7. Schraudolph N, Belew R. Dynamic parameter encoding for genetic algorithms, CSE Technical Report [R]. University of San Diego, La Jolla, 1993.
8. Bard Y. Nonlinear Parameter Estimation [M]. New York: Academic, 1974.