Spatial Interpolation Based on ABC-Kriging Algorithm
Minghao Liu, Meng Yang · DEStech Transactions on Engineering and Technology Research · 2017
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.