CSAMT One-dimensional Inversion Based on Modified Genetic Algorithm

SUN Caitang, LI Ling, WANG Xue, HUANG Weining, ZHOU Fengdao

Abstract

The traditional method of controlled source audio frequency magnetotelluric (CSAMT) inversion is linear or locally linear» and most of them depend on the initial model. The genetic algorithm is applied to the CSAMT inversion because it does not depend on the initial model. However, the standard genetic algorithm has some problems such as premature convergence and local convergence. The standard genetic algorithm was improved, and the selection operator based on the ranking method and the optimal reservation strategy was used to enhance the diversity of the population and to ensure its convergence; The crossover operator, which is based on the combination of the father and son competition strategy and the a-daptive probability method, can prevent the good parent from being eliminated, and has the adaptability. The simulation results show that the improved genetic algorithm is better than the standard genetic algorithm in the one-dimensional inversion of CSAMT. The inversion of the measured data is consistent with the geological data, which proves the adaptability of the improved genetic algorithm.

 

 

Keywords: controlled source audio frequency magnetotellurics (CSAMT), inversion, algorithm


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References


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