Intrinsic Evolvable Hardware Implementation of a Robust Biological Development Model for Digital Systems
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{liu:2005:EH,
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author = "Heng Liu and Julian F. Miller and Andy M. Tyrrell",
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title = "Intrinsic Evolvable Hardware Implementation of a
Robust Biological Development Model for Digital
Systems",
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booktitle = "Proceedings of the 2005 NASA/DoD Conference on
Evolvable Hardware",
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year = "2005",
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editor = "Jason Lohn and David Gwaltney and Gregory Hornby and
Ricardo Zebulum and Didier Keymeulen and
Adrian Stoica",
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pages = "87--92",
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address = "Washington, DC, USA",
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month = "29 " # jun # "-1 " # jul,
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publisher = "IEEE Press",
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publisher_address = "IEEE Service Center 445 Hoes Lane Asia P.O. Box
1331 Piscataway, NJ 08855-1331",
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organisation = "NASA, DoD",
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keywords = "genetic algorithms, genetic programming, EHW",
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ISBN = "0-7695-2399-4",
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DOI = "doi:10.1109/EH.2005.32",
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abstract = "An intrinsic evolvable hardware platform was realized
to accelerate the evolutionary search process of a
biologically inspired developmental model targeted at
off the shelf FPGA implementation. The model has the
capability of exhibiting very large transient
fault-tolerance. The evolved circuits make up a digital
{"}organism{"} from identical cells which only differ
in internal states. Organisms implementing a 2-bit
multiplier were evolved that can {"}recover{"} from
almost any kinds of transient faults. This paper
focuses on the design concerns and details of the
evolvable hardware system, including the digital
organism/cell and the intrinsic FPGA-based evolvable
hardware platform.",
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notes = "EH2005 IEEE Computer Society Order Number P2399",
- }
Genetic Programming entries for
Heng Liu
Julian F Miller
Andrew M Tyrrell
Citations