Evolving inherently fault-tolerant systems

Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering

Volumn 211, Issue 5, 1997, Pages 365-371

  Thompson, A ^a  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

Author keywords

Artificial evolution; Evolvable hardware; Fault tolerance; Genetic algorithms; Graceful degradation; Hardware evolution; Population dynamics

Indexed keywords

CONTROL SYSTEMS; FAULT TOLERANT COMPUTER SYSTEMS;

ARTIFICIAL EVOLUTION; FAULT TOLERANCE; GRACEFUL DEGRADATION;

GENETIC ALGORITHMS;

EID: 0031344722     PISSN: 09596518     EISSN: None     Source Type: Journal    
DOI: 10.1243/0959651971539894     Document Type: Article

References (14)

1. Thompson, A. Evolving fault tolerant systems. In Proceedings of First IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems (GALESIA'95), IEE Conference Publication 414, 1995, pp. 524-529.
2. Thompson, A. Silicon evolution. In Proceedings of First Annual Conference on Genetic Programming 1996 (GP96) (Eds J. R. Koza, D. E. Goldberg, D. B. Fogel and R. L. Riolo), 1996, pp. 444-452 (MIT Press, Cambridge, Massachusetts).
3. Thompson, A. An evolved circuit, intrinsic in silicon, entwined with physics. In Proceedings of First International Conference on Evolvable Systems: From Biology to Hardware (ICES96) (Eds T. Higuchi and M. Iwata), 1997 (SpringerVerlag, Berlin) (in press).
4. Harvey, I. and Thompson, A. Through the labyrinth, evolution finds a way: a silicon ridge. In Proceedings of First International Conference on Evolvable Systems: From Biology to Hardware (ICES96) (Eds T. Higuchi and M. Iwata), 1997 (Springer-Verlag, Berlin) (in press).
5. Thompson, A., Harvey, I. and Husbands, P. Unconstrained evolution and hard consequences. In Towards Evolvable Hardware: The Evolutionary Engineering Approach (Eds E. Sanchez and M. Tomassini), Vol. 1062 of LNCS, 1996, pp. 136-165 (Springer-Verlag, Heidelberg).
6. Goldberg, D. E. Genetic Algorithms in Search, Optimization and Machine Learning, 1989 (Addison Wesley, Reading, Massachusetts).
7. Eigen, M. New concepts for dealing with the evolution of nucleic acids. In Cold Spring Harbor Symposia on Quantitative Biology, Vol. LII, 1987.
8. Huynen, M. and Hogeweg, P. Pattern generation in molecular evolution: exploitation of the variation in RNA landscapes. J. Mol. Evol, 1994,39, 71-79.
9. Kauffman, S. A. The Origins of Order, 1993 (Oxford University Press).
10. Sebald, A. V. and Fogel, D. B. Design of fault tolerant neural networks for pattern classification. In Proceedings of First Annual Conference on Evolutionary Programming (Eds D. B. Fogel and W. Atmar), 1992, pp. 90-99 (EP Society, La Jolla, California).
11. Hillis, W. D. Co-evolving parasites improve simulated evolution as an optimization procedure. In Artificial Life II (Eds C. G. Langton, C. Taylor, J. D. Farmer and S. Rasmussen), 1992, pp. 313-324 (Addison Wesley, Reading, Massachusetts).
12. Paredis, J. Steps towards co-evolutionary classification neural networks. In Pivceedings of Artificial Life IV (Eds R. A. Brooks and P. Macs), 1994, pp. 102-108 (MIT Press, Cambridge, Massachusetts).
13. Mcllhagga, M., Husbands, P. and Ives, R. A comparison of search techniques on a wing-box optimisation problem. In Proceedings of Parallel Problem Solving from Nature (PPSN) IV (Eds H.-M. Voigt, W. Ebeling, I. Rechenberg and H. P. Schwefel), Vol. 1141 of LNCS, 1996 (Springer-Verlag, Heidelberg).
14. Mange, D., Goeke, M., Madon, D., Stauffer, A., Tempesti, G. and Durand, S. Embryonics: a new family of coarsegrained field-programmable gate array with self-repair and self-reproducing properties. In Towards Evolvable Hardware: The Evolutionary Engineering Approach (Eds E. Sanchez and M. Tomassini), Vol. 1062 of LNCS, 1996, pp. 197-220 (Springer-Verlag, Heidelberg).