1887

Abstract

P027 ELECTROMAGNETIC DATA INVERSION USING GENETIC ALGORITHM Abstract 1 Genetic algorithm is an efficient tool for optimization and its applications is growing in engineering and science. In this paper we applied it for electromagnetic data inversion. Our inputs are magnetic components of the measurement and output is current density cross section. Introduction Current density sections are known concepts in EM data interpretation and their problems are usually solved by linear filter theory (koefoed Ghosh Polman 1972 Mallick and Verma 1978). These methods try to calculate current density cross sections that are responsible for observed anomaly at the surface. These sections

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/content/papers/10.3997/2214-4609-pdb.10.P027
2004-09-06
2020-06-05
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609-pdb.10.P027
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