基于重点域的自适应加点方法

Adaptive Infilling Method Based on Significant Domain

代理模型已经普遍应用于复杂电子装备的设计中,以提高计算效率、缩短产品的设计周期。该文在重点域的基础上,提出了一种自适应加点方法。该方法每次进行迭代时,通过建立局部加点模型和全局加点模型选取更新点,以分别提高代理模型的局部开发能力和总体探索能力,进而提高代理模型的整体优化效率和预测能力。通过几个标准数学测试函数,验证了该方法的有效性。最后,将该方法应用于某共形天线的优化设计实例中,得到了满意的结果。

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.