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 | |
| 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 → … |
Keywords
Cite this
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Multi-objective sensitivity-based optimization of analog circuits exploiting NSGA-II front ranking. / Pereira, Pedro Miguel Ribeiro; Fino, Maria Helena Silva; DEE Group Author.
n/a. Istanbul, Turkey, 2015. p. 1-4.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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 -