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Evolvable Hardware Using Genetic Programming

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Book cover Intelligent Data Engineering and Automated Learning (IDEAL 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2690))

Abstract

In this paper, we propose a methodology based on genetic programming to automatically generate data-flow based specifications for hardware designs of combinational digital circuits. We aim at allowing automatic generation of balanced hardware specifications for a given input/output behaviour. It minimises space while maintaining reasonable response time.

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References

  1. Aho, A.V., Ravi, S., Ullman, J.D.: Compilers: principles, techniques and tools. Addison-Wesley, Reading (1986)

    Google Scholar 

  2. Coelho, A.A.C., Christiansen, A.D., Aguirre, A.H.: Towards Automated Evolutionary Design of Combinational Circuits. Comput. Electr. Eng. 27, 1–28 (2001)

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  3. Ercegovac, M.D., Lang, T., Moreno, J.H.: Introduction to digital systems. John Wiley, Chichester (1999)

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  4. Koza, J.R.: Genetic Programming. MIT Press, Cambridge (1992)

    MATH  Google Scholar 

  5. Miller, J.F., Job, D.: Principles in the evolutionary design of digital circuits

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  6. Rhyne, V.T.: In: Kuo, F.F. (ed.) Fundamentals of digital systems design. Electrical Engineering Series. Prentice-Hall, Englewood Cliffs (1973)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Systems Engineering and Computation, Faculty of Engineering, State University of Rio de Janeiro, Rio de Janeiro, Brazil

    Nadia Nedjah & Luiza de Macedo Mourelle

Authors
  1. Nadia Nedjah
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  2. Luiza de Macedo Mourelle
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  2. Department of Computer Science, Hong Kong Baptist University, Hong Kong

    Yiu-ming Cheung

  3. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2003 Springer-Verlag Berlin Heidelberg

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Nedjah, N., de Macedo Mourelle, L. (2003). Evolvable Hardware Using Genetic Programming. In: Liu, J., Cheung, Ym., Yin, H. (eds) Intelligent Data Engineering and Automated Learning. IDEAL 2003. Lecture Notes in Computer Science, vol 2690. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45080-1_42

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  • DOI: https://doi.org/10.1007/978-3-540-45080-1_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40550-4

  • Online ISBN: 978-3-540-45080-1

  • eBook Packages: Springer Book Archive

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