Spatial Interpolation Based on ABC-Kriging Algorithm
Abstract
Kriging interpolation method has a wide range of application in geology and mapping. But the variogram selected and the parameters of the experimental variogram mostly depend on the expertise of geologists, which has a great degree of subjectivity. Introduce the artificial bee colony algorithm (ABC) to optimize the parameters of the Kriging’s variogram, using ABC-Kriging algorithm to experiment with borehole data. The results show that: the Kriging algorithm optimized by artificial bee colony compared with ordinary Kriging algorithm errors were reduced by 35.7%, to overcome the traditional method parameters set subjectivity and make geological model construction with higher precision.
Keywords
kriging; artificial bee colony algorithm; spatial interpolation; optimization
DOI
10.12783/dtetr/iceta2016/6987
10.12783/dtetr/iceta2016/6987
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