On applying Kriging-based approximate optimization to inaccurate data Original Research Article

This paper describes a new approach for the use of Kriging-based approximate optimization with inaccurate data. A conventional Kriging system is applicable to several kinds of complex systems, however, there are some difficulties in applying a Kriging-based system to a noisy system. Therefore, this paper proposes a new approach for Kriging-based estimation with inaccurate data. The principal idea is summarized as an improvement of a semivariogram and determining process of its parameters.