Multi-objective sensitivity-based optimization of analog circuits exploiting NSGA-II front ranking

Citation:
Kchaou, O. B., A. Sallem, P. Pereira, M. Fakhfakh, and M. H. Fino, "Multi-objective sensitivity-based optimization of analog circuits exploiting NSGA-II front ranking", Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), 2015 International Conference on, Istanbul, Turkey, pp. 1-4, Sept, 2015.

Date Presented:

Sept

Abstract:

This work deals with the multi-objective optimization of analog circuits by generating the Pareto front where elements are low sensitive to parameters' variations. NSGA-II is used for obtaining the non-dominated solutions. Richardson extrapolation technique is used for the in-loop optimization approach for computing partial derivatives and, thus, the solutions' sensitivity. NSGA-II Pareto fronts' intrinsic ranking is exploited for the generation of the new ‘low-sensitive’ Pareto front. The case of the optimal sizing of a CMOS voltage follower is considered to exemplify the proposed approach.

Notes:

DOI: 10.1109/SMACD.2015.7301696

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