In order to improve the wearing comfort,a nonparametric regression response surface agent model and multi-objective genetic algorithm are proposed to predict and optimize the model between the size of vertical interconnect access and wire pad and the stress of skin interface.Taking the vertical interconnect access and wire pad size in two-layer stretchable and flexible circuits as the research object,the optimal space-filling design sampling method is used to establish the test sample points,the test sample points are fitted by nonparametric regression method and the verification point is used to improve the precision of response surface.The multi genetic algorithm is used for global optimization in the response surface model,and a set of optimal parameter combinations satisfying skin comfort is obtained,and the optimal parameter combinations are verified by simulation.The verification results show the effectiveness of the proposed method and realize the optimization of multilayer stretchable and flexible circuit interconnection structure.
关键词
穿戴舒适性/可延展柔性电路/响应面法/多目标遗传算法
Key words
wearing comfort/stretchable and flexible circuit/response surface method/multi-objective genetic algorithm
维普
万方数据