MT资料的遗传法反演

在简述遗传优化算法的基本原理，分析大地理电测深资料反演的特点和滩点的基础上，提出了将遗传算法引入ＭＴ数据反演的思路，针对ＭＴ资料反 特殊性，对常用的遗传算法进行改进。取消二进制编码和解码过程。

Genetic Inversion Algorithm for MT Data

The genetic algorithm is a searching scheme for nonlinear optimization problem based on the principle of biological evolution and genetic optimization The global optimizing solution or survival of the fittest through genetic variation and computation procedures can be obtained or actualized The basic principles for genetic optimizing algorithm are described briefly By analyzing the characteristics of magnetotelluric (MT) data and difficulties encountered in inversion ,an idea to introduce the genetic scheme into MT data inversion is proposed Some revisions to the conventional genetic approach to fit for MT inversion are made In this application, the algorithm is simplified by using decimal number operation without binary coding and decoding, and its resolution is improved by restricting bounds to parameters Theoretical models and real data inversion results demonstrate that the non uniqueness in MT data inversion can be improved by the genetic inversion scheme