Intrinsic Evolvable Hardware Implementation of a Robust Biological Development Model for Digital Systems

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@InProceedings{liu:2005:EH,

• author = "Heng Liu and Julian F. Miller and Andy M. Tyrrell",
• title = "Intrinsic Evolvable Hardware Implementation of a Robust Biological Development Model for Digital Systems",
• booktitle = "Proceedings of the 2005 NASA/DoD Conference on Evolvable Hardware",
• year = "2005",
• editor = "Jason Lohn and David Gwaltney and Gregory Hornby and Ricardo Zebulum and Didier Keymeulen and Adrian Stoica",
• pages = "87--92",
• address = "Washington, DC, USA",
• month = "29 " # jun # "-1 " # jul,
• publisher = "IEEE Press",
• publisher_address = "IEEE Service Center 445 Hoes Lane Asia P.O. Box 1331 Piscataway, NJ 08855-1331",
• organisation = "NASA, DoD",
• keywords = "genetic algorithms, genetic programming, EHW",
• ISBN = "0-7695-2399-4",
• DOI = "doi:10.1109/EH.2005.32",
• 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.",
• notes = "EH2005 IEEE Computer Society Order Number P2399",

}

Genetic Programming entries for Heng Liu Julian F Miller Andrew M Tyrrell

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