A Complete On-chip Evolvable Hardware Technique Based on Pareto Dominance

Author:

Liang Qingzhong,Fan Yuanyuan,Zeng Sanyou

Publisher

Springer Berlin Heidelberg

Reference15 articles.

1. Higuchi, T., et al.: Evolvable hardware with genetic learning. In: 1996 IEEE International Symposium on Circuits and Systems, ISCAS 1996, Connecting the World, May 12-15, vol. 4, pp. 29–32 (1996)

2. de Garis, H.: Evolvable Hardware: Genetic Programming of a Darwin Machine. In: Albrecht, R.F., Reeves, C.R., Steele, N.C. (eds.) Artificial Neural Nets and Genetic Algorithms. Springer (1993)

3. Higuchi, T., Niwa, T., Tanaka, T., Iba, H., de Garis, H., Furuya, T.: Evolving Hardware with Genetic Learning: a First Step Towards Building a Darwin Machine. In: Proc. of the 2nd Int. Conf. on From Animals to Animats, pp. 417–424 (1993)

4. Koza, J., Al-Sakran, S., Jones, L.: Cross-domain features of runs of genetic programming Used to evolve designs for Analog Circuits, Optical Lens Systems. Controllers, Antennas, Mechanical Systems, and Quantum Computing Circuits. In: 2005 NASA/DoD Conference on Evolvable Hardware, pp. 205–214. IEEE Computer Society Press (2005)

5. Hornby, G.S., Lipson, H., Pollack, J.B.: Generative representations for the automatic design of modular physical robots. IEEE Transactions on Robotics and Automation 19(4), 703–719 (2003)

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1. Intrinsic Evolvable Hardware Used for Fault Tolerance Systems;International Journal of Organizational and Collective Intelligence;2012-04

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