The inversion of the coefficient of permeability with genetic algorithm

Author

Dong, Enqing ; Long, Guan

Author_Institution

Sch. of Civil Eng. & Archit., Wuhan Polytech. Univ., Wuhan, China

fYear

2011

fDate

15-17 July 2011

Firstpage

2722

Lastpage

2725

Abstract

Accurate coefficient of permeability is of vital importance for the underground water computing. In the paper, the coefficient of permeability is identified based on the observed hydraulic heads and drainages. An optimization model is used to identify the coefficient of permeability, which is solved with genetic algorithm. The performances of the proposed identification measure with improved genetic algorithm is testified by actual engineering applications and the results show that the parameter identification algorithm proposed in the paper is robust and globally convergent.

Keywords

genetic algorithms; geophysics computing; groundwater; hydrological techniques; optimisation; permeability; coefficient of permeability; hydraulic heads; improved genetic algorithm; optimization model; parameter identification algorithm; parameter inversion; underground water computing; Algorithm design and analysis; Concrete; Genetic algorithms; Mathematical model; Parameter estimation; Permeability; Temperature measurement; coefficient of permeability; globally convergent; improved genetic algorithm; parameter inversion;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on

Conference_Location

Hohhot

Print_ISBN

978-1-4244-9436-1

Type

conf

DOI

10.1109/MACE.2011.5987547

Filename

5987547