Design of Experiment for kriging

크리깅의 실험계획법

  • 정재준 (한양대학교 대학원 기계설계학과) ;
  • 이창섭 (한양대학교 대학원 기계설계학과) ;
  • 이태희 (한양대학교 기계공학부)
  • Published : 2003.11.05


Approximate optimization has become popular in engineering field such as MDO and Crash analysis which is time consuming. To accomplish efficient approximate optimization, accuracy of approximate model is very important. As surrogate model, Kriging have been widely used approximating highly nonlinear system . Because Kriging employs interpolation method, it is adequate for deterministic computer simulation. Because there are no random errors and measurement errors in deterministic computer simulation, instead of classical DOE ,space filling experiment design which fills uniformly design space should be applied. In this work, various space filling designs such as maximin distance design, maximum entropy design are reviewed. And new design improving maximum entropy design is suggested and compared.