Novel bio-inspired self-repair algorithm for evolvable fault tolerant hardware systems

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Novel bio-inspired self-repair algorithm for evolvable fault tolerant hardware systems

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Genetic And Evolutionary Computation Conference archive
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers table of contents

Montreal, Québec, Canada

SESSION: Late-breaking papers table of contents

Pages 2143-2148

Year of Publication: 2009

ISBN:978-1-60558-505-5

Authors

Mohammad Samie	University of the West of England, Bristol, Uzbekistan
Gabriel Dragffy	University of the West of England, Bristol, United Kingdom
Tony Pipe	University of the West of England, Bristol, United Kingdom

Sponsors

SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery

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ACM New York, NY, USA

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ABSTRACT

This paper investigates and presents a novel self-repair algorithm, based on a prokaryotic bio-inspired artificial model, for implementing evolvable self-healing bio-inspired systems. The key feature of the model is that system reliability can be increased with only a minimal amount of hardware overhead. It also offers a bio-inspired compression/decompression technique that exploits the intimate relationship between different genes. Distributed DNA, highly dynamic and optimized genome redundancy and optimized self-repair characteristics (using block and cell elimination) are some of the other advantages of the proposed model.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Samie, M., Dragffy, G., Popescu, A., Prokaryotic bio-inspired model for embryonic. NASA/ESA Int. Conference on Adaptive Hardware and Systems. July 2009. Accepted paper
	2	Samie, M., Dragffy, G., Popescu, A., Prokaryotic bio-inspired system. NASA/ESA Int. Conference on AdaptiveHardware and Systems. July 2009. Accepted paper
	3	Mange, D., Sanchez, E., Stauffer, A., et. al. Sep. 1998. Embryonics: a new methodology for designing field-programmable gate arrays with self-repair and self-replicating properties. In Very Large Scale Integration (VLSI) Systems, IEEE, Volume 6, Issue 3, pp. 387--399.