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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This work deals with the multi-objective optimization of analog circuits by generating the Pareto front where elements are low sensitive to parameters{\textquoteright} 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{\textquoteright} sensitivity. NSGA-II Pareto fronts{\textquoteright} intrinsic ranking is exploited for the generation of the new {\textquoteleft}low-sensitive{\textquoteright} Pareto front. The case of the optimal sizing of a CMOS voltage follower is considered to exemplify the proposed approach.

Original languageUnknown
Title of host publicationn/a
Place of PublicationIstanbul, Turkey
Pages1-4
DOIs
Publication statusPublished - 1 Jan 2015
EventInternational Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD) -
Duration: 1 Jan 2015 → …

Conference

ConferenceInternational Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)
Period1/01/15 → …

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