Creating Multivariable Response Surfaces by Using the Two-Stage Adaptive Sampling Techniques and Its Application in Optimization of Grounding Grids

摘要

A fast and efficient adaptive sampling algorithm to obtain the response surface of multivariable objective function is presented. The algorithm is divided into two stages. At first, starting with a low-order interpolation model, the technique systematically increase the order by optimally choosing new support points in the areas of highest error until the required accuracy is achieved. Second, the verification between the fitted and the exact result is carried out. The optimization of grounding grids is performed to show the robustness of the proposed algorithm.