Parameter identification of 3D groundwater flow model with improved genetic algorithm

Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering

Volumn 23, Issue 4, 2004, Pages 625-630

  Yao, Leihua ^a   Li, Jingsheng ^b  

^a CHINA UNIVERSITY OF GEOSCIENCES   (China)

^b CHINA COAL RESEARCH INSTITUTE   (China)

Author keywords

Genetic algorithm; Groundwater flow model; Improvement; Inverse; Parameter

Indexed keywords

CHROMOSOMES; FINITE ELEMENT METHOD; GROUNDWATER FLOW; IDENTIFICATION (CONTROL SYSTEMS); INVERSE PROBLEMS; MATHEMATICAL MODELS; SEEPAGE;

BEST CHROMOSOME CLONE; GROUNDWATER FLOW MODEL; SIMPLE GENETIC ALGORITHM; YOUNGER GENERATION CHROMOSOME PREPOTENCY;

GENETIC ALGORITHMS;

EID: 2442650654     PISSN: 10006915     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

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. Robert Willis, William W G. Groundwater Systems Planning and Management[M]. New Jersey: Prentice-Hall, Inc., 1987.
3. Li Jingsheng, Derek Elsworth. 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. Boundary and parameter identification using genetic algorithms and boundary element method[A]. In: 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: Springer-Verlag, 1996.
6. de Jong K A. An analysis of the behavior of a class of genetic adaptive system[Ph.D thesis][D]. Ann Arbor: Univ. of Mich., 1975.
7. Schraudolph N, Belew R. Dynamic parameter encoding for genetic algorithms, CSE technical report[R]. La Jolla: University of San Diego, 1993.