Adaptive Infilling Method Based on Significant Domain

Metamodel has been widely used in complex electrical equipment design field to improve the computational efficiency and shorten the time of simulation optimization. This paper proposes the adaptive infilling method based on significant domain. In this method, new samples are selected through the local sampling model and global sampling model to improve the local exploitation capability and the global exploration capability of metamodel at every iteration. The method is tested with several benchmark numerical problems and gets verified.