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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.