公开(公告)号：US20230092630A1

公开(公告)日：2023-03-23

申请号：US16957998

申请日：2019-11-13

申请人： SHAN DONG UNIVERSITY

发明人： Ranran ZHOU ,  Yaping LI ,  Yong WANG ,  Yusong LI ,  Xuezheng HUANG ,  Juanjuan SUN

IPC分类号： G06F30/373 ,  G06F30/367 ,  G06N3/12

摘要： A parallel analog circuit automatic optimization method based on genetic algorithm and machine learning comprises global optimization based on genetic algorithm and local optimization based on machine learning, with the global optimization and the local optimization performed alternately. The global optimization based on genetic algorithm utilizes parallel SPICE simulations to improve the optimization efficiency while guaranteeing the optimization accuracy, combined with parallel computing. The local optimization based on machine learning establishes a machine learning model near the global optimal point obtained by the global optimization, and uses the machine learning model to replace the SPICE simulator, thus reducing the time costs brought by a large number of simulations.