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

Pedro Miguel Ribeiro Pereira; Maria Helena Silva Fino; DEE Group Author

doi:10.1109/SMACD.2015.7301696

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

Pedro Miguel Ribeiro Pereira, Maria Helena Silva Fino, DEE Group Author

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 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 language	Unknown
Title of host publication	n/a
Place of Publication	Istanbul, Turkey
Pages	1-4
DOIs	https://doi.org/10.1109/SMACD.2015.7301696
Publication status	Published - 1 Jan 2015
Event	International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD) - Duration: 1 Jan 2015 → …

Conference

Conference	International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)
Period	1/01/15 → …

Cite this

Pereira, P. M. R., Fino, M. H. S., & DEE Group Author (2015). Multi-objective sensitivity-based optimization of analog circuits exploiting NSGA-II front ranking. In n/a (pp. 1-4). Istanbul, Turkey. https://doi.org/10.1109/SMACD.2015.7301696

@inproceedings{1c55bbea54f7445ebadaac66cad1e2d9,

title = "Multi-objective sensitivity-based optimization of analog circuits exploiting NSGA-II front ranking",

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.",

keywords = "statistics, sociology, optimization, analog circuits, sensitivity analysis, extrapolation",

author = "Pereira, {Pedro Miguel Ribeiro} and Fino, {Maria Helena Silva} and {DEE Group Author}",

note = "Sem PDF.",

year = "2015",

month = "1",

day = "1",

doi = "10.1109/SMACD.2015.7301696",

language = "Unknown",

pages = "1--4",

booktitle = "n/a",

}

TY - GEN

T1 - Multi-objective sensitivity-based optimization of analog circuits exploiting NSGA-II front ranking

AU - Pereira, Pedro Miguel Ribeiro

AU - Fino, Maria Helena Silva

AU - DEE Group Author

N1 - Sem PDF.

PY - 2015/1/1

Y1 - 2015/1/1

N2 - 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.

AB - 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.

KW - statistics

KW - sociology

KW - optimization

KW - analog circuits

KW - sensitivity analysis

KW - extrapolation

U2 - 10.1109/SMACD.2015.7301696

DO - 10.1109/SMACD.2015.7301696

M3 - Conference contribution

SP - 1

EP - 4

BT - n/a

CY - Istanbul, Turkey

ER -

Access to Document

10.1109/SMACD.2015.7301696

http://dx.doi.org/10.1109/SMACD.2015.7301696