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Enhancing Analog IC Design Optimization Kernels with Simple Fuzzy Models

Sousa, P. ; Duarte, C. ; Guilherme, J.G. ; Horta, N.

Enhancing Analog IC Design Optimization Kernels with Simple Fuzzy Models, Proc European Conf. on Circuit Theory and Design, Antalya, Turkey, Vol. , pp. - , August, 2009.

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Abstract
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.