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System identification using genetic algorithms

  • Genetic Algorithms
  • Conference paper
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Parallel Problem Solving from Nature (PPSN 1990)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 496))

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References

  1. D.E.Goldberg, Genetic algorithms in search, optimization, and machine learning, Addison-Wesley, 1989.

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  2. W.H.Press, B.P.Flannery, S.A.Teukolsky, W.T.Vetterling, Numerical recipes: the art of scientific computing, Cambridge University Press, 1988.

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  3. T.Soderstrom, P.Stoica, System identification, Prentice Hall, 1989.

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  4. G. Syswerda, “Uniform crossover in genetic algorithms”, in Proc. of the Third Int. Conf. on Genetic Algorithms, Washington, Morgan Kaufmann, pp.2–9, 1989.

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  5. D. Whitley, “The GENITOR algorithm and selective pressure: why rank-based allocation of reproductive trials is best”, in Proc. of the Third Int. Conf. on Genetic Algorithms, Washington, Morgan Kaufmann, pp.116–121, 1989.

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Author information

Authors and Affiliations

  1. School of Engineering and Applied Sciences, University of Sussex, BN1 9QH, Brighton, E.Sussex, UK

    Timothy Johnson

  2. School of Cognitive and Computing Sciences, University of Sussex, BN1 9QH, Brighton, E.Sussex, UK

    Philip Husbands

Authors
  1. Timothy Johnson
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  2. Philip Husbands
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Editor information

Hans-Paul Schwefel Reinhard Männer

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© 1991 Springer-Verlag Berlin Heidelberg

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Johnson, T., Husbands, P. (1991). System identification using genetic algorithms. In: Schwefel, HP., Männer, R. (eds) Parallel Problem Solving from Nature. PPSN 1990. Lecture Notes in Computer Science, vol 496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029736

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  • DOI: https://doi.org/10.1007/BFb0029736

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54148-6

  • Online ISBN: 978-3-540-70652-6

  • eBook Packages: Springer Book Archive

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