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2010•Unpublished venueRequires access

GA-based Kriging for isoline drawing

Zhenhua Wei, Zhifeng Liu, Qing Chen

Open publisher page 3 citations

Abstract

Variogram as an important mathematical model of Kriging can effectively describe the features of the variants in some districts of ore deposit. This paper presents a isoline drawing method which uses genetic algorithm (GA) to estimate the Kriging variogram parameters. This method called GA-based Kriging was compared to ordinary Kriging. The isolines interpolated by GA-based Kriging are of higher precision and smaller error. GA-based Kriging provides a good tool for engineering application.

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What this paper is about

Variogram as an important mathematical model of Kriging can effectively describe the features of the variants in some districts of ore deposit. This paper presents a isoline drawing method which uses genetic algorithm (GA) to estimate the Kriging variogram parameters. This method called GA-based Kriging was compared to ordinary Kriging. The isolines interpolated by GA-based Kriging are of higher precision and smaller error. GA-based Kriging provides a good tool for engineering application.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Variogram as an important mathematical model of Kriging can effectively describe the features of the variants in some districts of ore deposit. This paper presents a isoline drawing method which uses genetic algorithm (GA) to estimate the Kriging variogram parameters. This method called GA-based Kriging was compared to ordinary Kriging. The isolines interpolated by GA-based Kriging are of higher precision and smaller error. GA-based Kriging provides a good tool for engineering application.

Key concepts: Kriging, Variogram, Genetic algorithm, Computer science, Algorithm, Geology, Mathematics, Statistics

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