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

Research output: Chapter in Book/Report/Conference proceedingConference 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 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 → …

Keywords

    Cite this

    @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",

    }

    Pereira, PMR, Fino, MHS & DEE Group Author 2015, Multi-objective sensitivity-based optimization of analog circuits exploiting NSGA-II front ranking. in n/a. Istanbul, Turkey, pp. 1-4, International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), 1/01/15. https://doi.org/10.1109/SMACD.2015.7301696

    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 proceedingConference 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 -