optimal opamp sizing based on a fuzzy-genetic kernel
In this paper an innovative fuzzy-genetic approach is proposed to address the problem of analog circuit sizing. The proposed approach introduces a fuzzy mutation operator which models expert design knowledge and this way not only avoids local minima but also reduces the search dynamically the space. The proposed approach is compared against a state-of-the art genetic approach, for the optimal operational amplifier sizing, and presents a faster convergence rate.
optimization analog circuit cad genetic algorithms fuzzy model