Evolvable hardware for space applications

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1478, Issue , 1998, Pages 166-173

  Stoica, Adrian ^a   Fukunaga, Alex ^a   Hayworth, Ken ^a   Salazar Lazaro, Carlos ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NASA; SPACE APPLICATIONS; STATE SPACE METHODS;

COMPRESSION ALGORITHMS; COMPUTING HARDWARE; DESIGN SPECIFICATION; EVOLVABLE HARDWARE; INTRINSIC EVOLUTION; NEURAL CHIPS; OPTIMALITY; ORIGINAL DESIGN; SPACE SYSTEMS; STATE SPACE REPRESENTATION;

DYNAMICAL SYSTEMS;

EID: 80054917360     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/BFb0057618     Document Type: Conference Paper

References (14)

1. De Garis, H. "Evolvable Hardware: Genetic Programming of a Darwin Machine". Int. Conf. on Artificial Neural Networks and Genetic Algorithms, Innsbruck, Austria, Springer Verlag, 1993
2. st IEE/IEEE Conf: Genetic Algorithms in Engineering Systems, UK, 1995
3. Koza, J., Bennett III, F. H., Lohn J., Dunlap, F., Keane M. A., and Andre, D. "Automated Synthesis of Computational Circuits Using Genetic Programming". In Proc. of Second Annual Genetic Programming Conference, Stanford July 13-16,1997
4. Hemmi, H., Hikage, T. and Shimohara, K. AdAM: A Hardware Evolutionary System, In Proc. of ICEC, (193-196), 1997
5. Thompson, A. Silicon Evolution. In: Proceedings of Genetic Programming 1996 (GP96), J.R. Koza et al. (Eds), pages 444-452, MIT Press 1996
6. Higuchi, T., Murakawa, M., Iwata, M., Kajitani, I., Liu, W. and Salami, M.."Evolvable Hardware at Function Level." In Proc. of ICEC, (187-192), 1997
7. Duong, T. A. et al., "Learning in neural networks: VLSI implementation strategies," In: Fuzzy Logic and Neural Network Handbook, Ed: C.H. Chen, McGraw-Hill, 1995
8. Eberhardt, S. et al, "Analog VLSI Neural Networks: Implementation Issues and Examples in Optimization and Supervised Learning," IEEE Trans. Indust. Electron. v39 (6):p. 552-564, Dec. 1992.
9. Baluja. I. Genetic Algorithms and Explicit Search Statistics. In Advances in Neural Information Processing Systems 9. Proceedings of the 1996 Conference. 1997. p. 319-25
10. Stoica, A. On hardware evolvability and levels of granularity. Proc. of the International Conference "Intelligent Systems and Semiotics 97: A Learning Perspective, NIST, Gaithersburg, MD, Sept. 22-25, 1997
11. Hayworth, K, The "Modeling Clay" approach to bio-inspired electronic hardware, To appear in Proc. ICES98, 1998.
12. nd ed Cambridge Univ. Press 1989
13. Salami, M., Murakawa, M., Higuchi, T., Data compression based on evolvable hardware, Proc. Evolvable Systems Workshop, International Joint Conference on Artificial Intelligence, 1997
14. Fukunaga A, Stechert A. Evolving nonlinear predictive models for lossless image compression with genetic programming. To appear in Proceedings of 3rd Annual Genetic Programming Conference (GP-98), Madison, Wisconsin USA, July 22 - 25, 1998