RF Varactor Design Based on Evolutionary Algorithms

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

6 Citations (Scopus)

Abstract

This paper introduces an optimization methodology for the design of RF varactors. The characterization of the varactor behaviour is supported by a set of equations based on technological parameters, granting the accuracy of the results, as well as the adaptability of the model to any technology. The varactor design is achieved through the implementation of a Genetic Algorithms (GA) optimization methodology, which is able to deal with continuous and/or discrete variables, making possible to suit both technological and layout constraints. A set of working examples for UMC130 technology are addressed. The results presented, spotlight the potential of varactor analytical model, combined with a GA optimization procedure, when integrated in optimization design tools. The accuracy of the results is checked against HSPICE simulator.
Original languageUnknown
Title of host publicationMixed Design of Integrated Circuits and Systems
Pages277-282
Publication statusPublished - 1 Jan 2012
Event19th International Conference Mixed Design of Integrated Circuits and Systems (MIXDES) -
Duration: 1 Jan 2012 → …

Conference

Conference19th International Conference Mixed Design of Integrated Circuits and Systems (MIXDES)
Period1/01/12 → …

Keywords

    Cite this

    Neves, M. F. D. S. V., Pereira, P. M. R., Fino, M. H. S., & DEE Group Author (2012). RF Varactor Design Based on Evolutionary Algorithms. In Mixed Design of Integrated Circuits and Systems (pp. 277-282)
    @inproceedings{e64fb3225fb641e2b56a30a9b5da6dba,
    title = "RF Varactor Design Based on Evolutionary Algorithms",
    abstract = "This paper introduces an optimization methodology for the design of RF varactors. The characterization of the varactor behaviour is supported by a set of equations based on technological parameters, granting the accuracy of the results, as well as the adaptability of the model to any technology. The varactor design is achieved through the implementation of a Genetic Algorithms (GA) optimization methodology, which is able to deal with continuous and/or discrete variables, making possible to suit both technological and layout constraints. A set of working examples for UMC130 technology are addressed. The results presented, spotlight the potential of varactor analytical model, combined with a GA optimization procedure, when integrated in optimization design tools. The accuracy of the results is checked against HSPICE simulator.",
    keywords = "Technology-aware Varactor Design, Evolutionary Algorithms, Discrete-Variable Optimization",
    author = "Neves, {M{\'a}rio Fernando da Silva Ventim} and Pereira, {Pedro Miguel Ribeiro} and Fino, {Maria Helena Silva} and {DEE Group Author}",
    year = "2012",
    month = "1",
    day = "1",
    language = "Unknown",
    isbn = "978-1-4577-2092-5",
    pages = "277--282",
    booktitle = "Mixed Design of Integrated Circuits and Systems",

    }

    Neves, MFDSV, Pereira, PMR, Fino, MHS & DEE Group Author 2012, RF Varactor Design Based on Evolutionary Algorithms. in Mixed Design of Integrated Circuits and Systems. pp. 277-282, 19th International Conference Mixed Design of Integrated Circuits and Systems (MIXDES), 1/01/12.

    RF Varactor Design Based on Evolutionary Algorithms. / Neves, Mário Fernando da Silva Ventim; Pereira, Pedro Miguel Ribeiro; Fino, Maria Helena Silva; DEE Group Author.

    Mixed Design of Integrated Circuits and Systems. 2012. p. 277-282.

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

    TY - GEN

    T1 - RF Varactor Design Based on Evolutionary Algorithms

    AU - Neves, Mário Fernando da Silva Ventim

    AU - Pereira, Pedro Miguel Ribeiro

    AU - Fino, Maria Helena Silva

    AU - DEE Group Author

    PY - 2012/1/1

    Y1 - 2012/1/1

    N2 - This paper introduces an optimization methodology for the design of RF varactors. The characterization of the varactor behaviour is supported by a set of equations based on technological parameters, granting the accuracy of the results, as well as the adaptability of the model to any technology. The varactor design is achieved through the implementation of a Genetic Algorithms (GA) optimization methodology, which is able to deal with continuous and/or discrete variables, making possible to suit both technological and layout constraints. A set of working examples for UMC130 technology are addressed. The results presented, spotlight the potential of varactor analytical model, combined with a GA optimization procedure, when integrated in optimization design tools. The accuracy of the results is checked against HSPICE simulator.

    AB - This paper introduces an optimization methodology for the design of RF varactors. The characterization of the varactor behaviour is supported by a set of equations based on technological parameters, granting the accuracy of the results, as well as the adaptability of the model to any technology. The varactor design is achieved through the implementation of a Genetic Algorithms (GA) optimization methodology, which is able to deal with continuous and/or discrete variables, making possible to suit both technological and layout constraints. A set of working examples for UMC130 technology are addressed. The results presented, spotlight the potential of varactor analytical model, combined with a GA optimization procedure, when integrated in optimization design tools. The accuracy of the results is checked against HSPICE simulator.

    KW - Technology-aware Varactor Design

    KW - Evolutionary Algorithms

    KW - Discrete-Variable Optimization

    M3 - Conference contribution

    SN - 978-1-4577-2092-5

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    EP - 282

    BT - Mixed Design of Integrated Circuits and Systems

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    Neves MFDSV, Pereira PMR, Fino MHS, DEE Group Author. RF Varactor Design Based on Evolutionary Algorithms. In Mixed Design of Integrated Circuits and Systems. 2012. p. 277-282