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Evolutionary Computation in Dynamic and Uncertain Environments pp 479–496Cite as

Evolutionary Robust Design of Analog Filters Using Genetic Programming

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 51))

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Author information

Authors and Affiliations

  1. University of Southern California, MCB 403D, 90089, Los Angeles, CA, USA

    Jianjun Hu

  2. CAD/CIMS Institute, Guizhou University, 550003, Guiyang, Guizhou, P. R. China

    Shaobo Li

  3. Michigan State University, 2120 Engineering Building, 48824, East Lansing, MI, USA

    Erik Goodman

Authors
  1. Jianjun Hu
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  2. Shaobo Li
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  3. Erik Goodman
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Leicester, University Road, LE1 7RH, Leiceste, UK

    Shengxiang Yang

  2. School of Computer Engineering, Nanyang Technological University, Blk N4, 2b-39, Nanyang Avenue, 639798, Singapore

    Yew-Soon Ong

  3. Honda Research Institute Europe, Carl-Legien-Str 30, 63073, Offenbach am Main, Germany

    Yaochu Jin

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© 2007 Springer-Verlag Berlin Heidelberg

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Hu, J., Li, S., Goodman, E. (2007). Evolutionary Robust Design of Analog Filters Using Genetic Programming. In: Yang, S., Ong, YS., Jin, Y. (eds) Evolutionary Computation in Dynamic and Uncertain Environments. Studies in Computational Intelligence, vol 51. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49774-5_21

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  • DOI: https://doi.org/10.1007/978-3-540-49774-5_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49772-1

  • Online ISBN: 978-3-540-49774-5

  • eBook Packages: EngineeringEngineering (R0)

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