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A Filter Design Framework with Multicriteria Optimization Based on a Genetic Algorithm

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Book cover Scientific Computing in Electrical Engineering

Part of the book series: Mathematics in Industry ((TECMI,volume 11))

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Abstract

The paper presents a method for generating filter transfer functions optimized in respect to a wide range of behavioral and implementation criteria. The optimization engine is the SQP algorithm, with the main parameters provided by a genetic algorithm tailored to this application.

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Author information

Authors and Affiliations

  1. Technical University of Cluj-Napoca, Str Ctin Dacovicuiu,nr 15, 400020, Cluj-Napoca, Romania

    Neag Marius

  2. Technical University of Cluj-Napoca, Str Ctin Dacovicuiu,nr 15, 400020, Cluj-Napoca, Romania

    Marina Topa

  3. Technical University of Cluj-Napoca, Str Ctin Dacovicuiu,nr 15, 400020, Cluj-Napoca, Romania

    Liviu Nedelea

  4. Technical University of Cluj-Napoca, Str Ctin Dacovicuiu,nr 15, 400020, Cluj-Napoca, Romania

    Lelia Festila

  5. Technical University of Cluj-Napoca, Str Ctin Dacovicuiu,nr 15, 400020, Cluj-Napoca, Romania

    Vasile Topa

Authors
  1. Neag Marius
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  2. Marina Topa
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  3. Liviu Nedelea
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  4. Lelia Festila
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  5. Vasile Topa
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Editor information

Editors and Affiliations

  1. Electrical Engineering Department, Politehnica University of Bucharest, Spl. Independentei 313, 60042, Bucharest, Romania

    Gabriela Ciuprina

  2. Electrical Engineering Department, Politehnica University of Bucharest, Spl. Independentei 313, 60042, Bucharest, Romania

    Daniel Ioan

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© 2007 Springer-Verlag Berlin Heidelberg

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Marius, N., Topa, M., Nedelea, L., Festila, L., Topa, V. (2007). A Filter Design Framework with Multicriteria Optimization Based on a Genetic Algorithm. In: Ciuprina, G., Ioan, D. (eds) Scientific Computing in Electrical Engineering. Mathematics in Industry, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71980-9_21

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