Enhancing analog IC design optimization kernels with simple fuzzy models

This paper addresses the analog integrated circuit design automation by proposing an innovative circuit-level optimization kernel. The proposed approach, first, models analog design knowledge using soft computing techniques, than, enhances a stochastic optimization kernel by embedding the design knowledge model. The proposed approach uses common IC design environments and is validated for well known design examples.