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Intrinsic circuit evolution using programmable analogue arrays

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Book cover Evolvable Systems: From Biology to Hardware (ICES 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1478))

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Abstract

The basic properties of programmable analogue arrays are described and the problem of quantifying the fitness of an analogue circuit is discussed. A set of blocks appropriate for use in an evolutionary algorithm is described and results presented showing how an evolutionary algorithm using these blocks can learn to produce a given input-output characteristic. Finally an example is presented showing how the evolutionary algorithm can exploit any looseness in the specification of the desired characteristic.

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References

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Authors and Affiliations

  1. Royal Holloway, University of London, Egham Hill, TW20 0EX, Egham, Surrey, UK

    Stuart J. Flockton & Kevin Sheehan

Authors
  1. Stuart J. Flockton
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  2. Kevin Sheehan
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Editor information

Moshe Sipper Daniel Mange Andrés Pérez-Uribe

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© 1998 Springer-Verlag Berlin Heidelberg

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Flockton, S.J., Sheehan, K. (1998). Intrinsic circuit evolution using programmable analogue arrays. In: Sipper, M., Mange, D., Pérez-Uribe, A. (eds) Evolvable Systems: From Biology to Hardware. ICES 1998. Lecture Notes in Computer Science, vol 1478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0057616

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  • DOI: https://doi.org/10.1007/BFb0057616

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64954-0

  • Online ISBN: 978-3-540-49916-9

  • eBook Packages: Springer Book Archive

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