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Towards Evolutionary DNA Computing

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Mechanisms, Symbols, and Models Underlying Cognition (IWINAC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3561))

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Abstract

In the last decade, the implementation of computations using DNA has attracted a lot of attention from both computer scientists and biologists. Molecular computation has many advantages, including small size, a biological interface and massive parallelism. This potential offers interesting possibilities for the implementation of evolutionary computation using DNA. We discuss the potential of evolutionary DNA computing and experimental progress.

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Author information

Authors and Affiliations

  1. Leiden Institute of Advanced Computer Science, Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands

    Christiaan V. Henkel & Joost N. Kok

  2. Institute of Biology, Leiden University, Wassenaarseweg 64, 2333 AL, Leiden, The Netherlands

    Christiaan V. Henkel

Authors
  1. Christiaan V. Henkel
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  2. Joost N. Kok
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Editor information

Editors and Affiliations

  1. E.T.S.I. Informática, Universidad Nacional de Educación a Distancia, 28040, Madrid, Spain

    José Mira

  2. E.T.S. de Ingeniería Informática, Departamento de Intelifencia Artificial, Universidad Nacional de Educación a Distancia, Juan del Rosal, 16, 28040, Madrid, Spain

    José R. Álvarez

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Henkel, C.V., Kok, J.N. (2005). Towards Evolutionary DNA Computing. In: Mira, J., Álvarez, J.R. (eds) Mechanisms, Symbols, and Models Underlying Cognition. IWINAC 2005. Lecture Notes in Computer Science, vol 3561. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11499220_26

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  • DOI: https://doi.org/10.1007/11499220_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26298-5

  • Online ISBN: 978-3-540-31672-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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