Optimal OpAmp Sizing based on a Fuzzy-Genetic Kernel
Sousa, P.
; Duarte, C.
; Barros , M.B.
;
Guilherme, J.G.
;
Horta, N.
Optimal OpAmp Sizing based on a Fuzzy-Genetic Kernel , Proc Genetic and Evolutionary Computation Conf. - GECCO, Dublin, Ireland, Vol. , pp. - , July, 2011.
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Abstract
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.
