Investigation of shape filter for electromagnetic device by structural optimization with GP

Recently, one of the most important problems is energy shortage. Therefore, it is required high efficiency motors and high accuracy analysis tools. Shape optimization and topology optimization are often used for structural optimization of motors. Authors simplify optimal model by filters because it is often complicated. However, filters cause deterioration of electromagnetic characteristics of motors. In this paper, shape complexity of analysis model is added in fitness value in genetic programing (GP). Authors investigate usefulness of filters which can search optimal model while taking shape complexity into account.