Application of Hybrid Genetic Algorithm in the Magnetotelluric 1-D Inversion Method
详细信息
- 责任者：Xie Wei (School of Info-Physics and Geomatics Engineering ; Central South University ; Changsha 410083 ; China) ; Liu Jianxin
- 刊名：Computing Techniques for Geophysical and Geochemical Exploration
- 出版年：2009
- 卷期：31(6)
- 关键词：大地电磁测深 ; telluric electromagnetic sounding
- 页码：p.568-572
- 图表：4 illus., 1 table, 12 refs.
- 分类号：1600
- issnNo：ISSN1001-1749
- isbnNo：CN51-1242/P
摘要
The genetic algorithm is a self-adaptive heuristic global optimization search method based on the mechanism of biologic evolution which is adopted and developed recently. The conjugate gradient algorithm belongs to a non-heuristic global-optimization search method with the characteristics of swift convergence, easily dumping into local extreme value and severely depending on the primary estimation. This essay adopts a hybrid genetic algorithm for geophysical inversion based on the properties of the genetic algorithm and the conjugate gradient algorithm. The method has the attributes of the global-convergence of the genetic algorithm and the swift convergence of the conjugate gradient and achieved good results in practical application.