Gravity data inversion based genetic algorithm and generalized least squares

Author

Qiu, Ning ; Liu, Qingsheng ; Gao, Quanye

Author_Institution

Inst. of Geophys. & Geomatics, China Univ. of Geosci., Wuhan, China

Volume

1

fYear

2009

fDate

20-22 Nov. 2009

Firstpage

891

Lastpage

893

Abstract

Geophysical optimized inversion of gravity data using genetic algorithm (GA) still faces some problems. It often divert to the local solution, causing premature convergence. Here, we present an optimized inversion method based genetic algorithm and generalized least squares (GLS) to estimation the model parameters of geological bodies. The synthesized gravity data is given for testing the performance of the proposed method. It outperforms single GA in accuracy and GLS in convergence speed.

Keywords

convergence of numerical methods; genetic algorithms; geophysical techniques; geophysics computing; gravity; least squares approximations; generalized least squares; genetic algorithm; geophysical optimized inversion; gravity data inversion; premature convergence; Biological control systems; Data engineering; Genetic algorithms; Genetic engineering; Genetic mutations; Geology; Geophysics; Gravity; Least squares methods; Optimization methods; generalized least squares; genetic algorithm; geophysical optimized inversion; gravity;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-4754-1

Electronic_ISBN

978-1-4244-4738-1

Type

conf

DOI

10.1109/ICICISYS.2009.5358049

Filename

5358049