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DNA Based Evolutionary Approach for Microprocessor Design Automation

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Adaptive and Natural Computing Algorithms (ICANNGA 2007)

Abstract

In a paper [1] presented to BICS 2006, a basic methodology for microprocessor design automation using DNA sequences was proposed. A refined methodology with new schemes for traversal, encoding, recombination, and processor evaluation are proposed in this paper. Moreover concepts such as mutation, graphical decoding and environment simulation are introduced and a new technique for creating DNA based algorithms used in the mutation process is also presented. The proposed methodology is then generalized to extend its application to other domains. This paper presents a conceptual framework whose implementation aspects are still under investigation.

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References

  1. Venkateswaran, N., et al.: Microprocessor Design Automation: A DNA Based Evolutionary Approach. BICS 2006 (2006)

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  2. David, B.: Fogel: Evolutionary Computation: The Fossil Record. Wiley, Chichester (May 1998)

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Bartlomiej Beliczynski Andrzej Dzielinski Marcin Iwanowski Bernardete Ribeiro

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© 2007 Springer Berlin Heidelberg

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Venkateswaran, N., Kumeresh, A., Chandran, H. (2007). DNA Based Evolutionary Approach for Microprocessor Design Automation. In: Beliczynski, B., Dzielinski, A., Iwanowski, M., Ribeiro, B. (eds) Adaptive and Natural Computing Algorithms. ICANNGA 2007. Lecture Notes in Computer Science, vol 4431. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71618-1_2

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  • DOI: https://doi.org/10.1007/978-3-540-71618-1_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71589-4

  • Online ISBN: 978-3-540-71618-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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