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Inherent Fault Tolerance in Evolved Sorting Networks

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Genetic and Evolutionary Computation — GECCO 2003 (GECCO 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2723))

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Abstract

This poster paper summarizes our research on fault tolerance arising as a by-product of the evolutionary computation process. Past research has shown evidence of robustness emerging directly from the evolutionary process, but none has examined the large number of diverse networks we used. Despite a thorough study, the linkage between evolution and increased robustness is unclear.

Foster was partially funded for this research by NIH NCRR 1P20 RR16448.

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References

  1. Masner, J., Cavalieri, J., Frenzel, J., & Foster, J. (1999). Representation and Robustness for Evolved Sorting Networks. In Stoica, A., Keymeulen, D., & Lohn, J., (Eds.), The First NASA/DoD Workshop on Evolvable Hardware, California: IEEE Computer Society, 255–261.

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  2. Masner, J. (2000). Impact of Size, Representation and Robustness in Evolved Sorting Networks. M.S. thesis, University of Idaho.

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  3. Knuth, D. (1998). The Art of Computer Programming, Volume 3: Sorting and Searching, Second Edition, Massachusetts: Addison-Wesley, 219–229.

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  4. Shepherd, R. (2002). Fault Tolerance in Evolved Sorting Networks: The Search for Inherent Robustness. M.S. thesis, University of Idaho.

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  5. Thompson, A. (1995). Evolving fault tolerant systems. In Proceedings of the 1st IEE/IEEE International Conference on Genetic Algorithms in Systems: Innovations and Applications (GALESIA’ 95). IEE Conference Publication No. 414, 524–529.

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© 2003 Springer-Verlag Berlin Heidelberg

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Shepherd, R., Foster, J. (2003). Inherent Fault Tolerance in Evolved Sorting Networks. In: Cantú-Paz, E., et al. Genetic and Evolutionary Computation — GECCO 2003. GECCO 2003. Lecture Notes in Computer Science, vol 2723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45105-6_57

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  • DOI: https://doi.org/10.1007/3-540-45105-6_57

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40602-0

  • Online ISBN: 978-3-540-45105-1

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