Inversão geoelétrica 1D utilizando o algoritmo genético com a determinação do número ótimo de camadas horizontais

G. Farias, Cosme Neto
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Abstract

This work has as main objective to generate a computational routine, a genetic algorithm, to create horizontal geoelectric models that explain the data obtained in different types of electrode arrangements. To do this, the FORTRAN90 programming language will be used, as well as well-known function routines that will aid in the development of modeling. The number of layers of the model will be determined by statistical criteria.
利用遗传算法进行一维地电反演,确定最优水平层数
这项工作的主要目标是生成一种计算程序,一种遗传算法,以创建水平地电模型,解释在不同类型的电极布置下获得的数据。为此,将使用FORTRAN90编程语言,以及有助于建模开发的知名函数例程。模型的层数将根据统计标准确定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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