Abstract
The analog design assistance tool Adapt [5, 6] has been developed to help analog electronic circuit designers tuning design parameters, such that the functional design specifications are met, given process technology constraints. Tuning is based on an optimization process, in which each iteration of the optimization loop implies the evaluation of the circuit by an analog circuit simulator. Considering the simulator as a black box tool, the choice of the optimization technique is restricted, because the simulator does not automatically supply derivatives of the design metrics and numerical noise is inherently present (for instance due to adaptive time stepping). Therefore, optimization algorithms that adopt finite-difference schemes to approximate derivatives cannot be applied straightforwardly.
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Heijmen, T.G.A., Lin, C., ter Maten, E.J.W., Sevat, M.F. (2004). Augmented Lagrangian Algorithm for Optimizing Analog Circuit Design. In: Buikis, A., Čiegis, R., Fitt, A.D. (eds) Progress in Industrial Mathematics at ECMI 2002. The European Consortium for Mathematics in Industry, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-09510-2_21
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DOI: https://doi.org/10.1007/978-3-662-09510-2_21
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