Evolving multiplier circuits by training set and training vector partitioning

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

Volumn 2606, Issue , 2003, Pages 228-237

  Torresen, Jim ^a  

^a UNIVERSITY OF OSLO   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

TIMING CIRCUITS;

EVOLVABLE; EVOLVABLE HARDWARE; EVOLVING CIRCUITS; MULTIPLIER CIRCUITS; TRAINING SETS;

FREQUENCY MULTIPLYING CIRCUITS;

EID: 84957018726     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36553-2_21     Document Type: Conference Paper

References (17)

1. W-P. Lee, J. Hallam, and H.H. Lund. Learning complex robot behaviours by evolutionary computing with task decomposition. In A. Birk and J. Demiris, editors, Learning Robots: Proc. of 6th European Workshop, EWLR-6 Brighton, volume 1545 of Lecture Notes in Artificial Intelligence, pages 155–172. Springer-Verlag, 1997.
2. X. Yao and T. Higuchi. Promises and challenges of evolvable hardware. In T. Higuchi et al., editors, Evolvable Systems: From Biology to Hardware. First International Conference, ICES 96, volume 1259 of Lecture Notes in Computer Science, pages 55–78. Springer-Verlag, 1997.
3. E. Cantu-Paz. A survey of parallel genetic algorithms. Calculateurs Paralleles, Reseaux et Systems Repartis, 10(2):141–171, 1998.
4. M. Iwata, I. Kajitani, H. Yamada, H. Iba, and T. Higuchi. A pattern recognition system using evolvable hardware. In Proc. of Parallel Problem Solving from Nature IV (PPSN IV), volume 1141 of Lecture Notes in Computer Science, pages 761–770. Springer-Verlag, September 1996.
5. M. Murakawa, S. Yoshizawa, I. Kajitani, T. Furuya, M. Iwata, and T. Higuchi. Hardware evolution at function level. In Proc. of Parallel Problem Solving from Nature IV (PPSN IV), volume 1141 of Lecture Notes in Computer Science, pages 62–71. Springer-Verlag, September 1996.
6. J. R. Koza. Genetic Programming II: Automatic Discovery of Reusable Programs. The MIT Press, 1994.
7. W.D. Hillis. Co-evolving parasites improve simulated evolution as an optimization procedure. Physica D, 42(1-3):228–234, 1990.
8. K.A. De Jong and M.A. Potter. Evolving complex structures via co-operative coevolution. In Proc. of Fourth Annual Conference on Evolutionary Programming, pages 307–317. MIT Press, 1995.
9. M.A. Potter and K.A. De Jong. Evolving neural networks with collaborative species. In Proc. of Summer Computer Simulation Conference. The Society for Computer Simulation, 1995.
10. P. Darwen and X. Yao. Automatic modularization by speciation. In Proc. of 1996 IEEE International Conference on Evolutionary Computation, pages 88–93, 1996.
11. J. Torresen. A divide-and-conquer approach to evolvable hardware. In M. Sipper et al., editors, Evolvable Systems: From Biology to Hardware. Second International Conference, ICES 98, volume 1478 of Lecture Notes in Computer Science, pages 57–65. Springer-Verlag, 1998.
12. J. Torresen. Two-step incremental evolution of a digital logic gate based prosthetic hand controller. In Evolvable Systems: From Biology to Hardware. Fourth International Conference, (ICES’01), volume 2210 of Lecture Notes in Computer Science, pages 1–13. Springer-Verlag, 2001.
13. Jim Torresen. A scalable approach to evolvable hardware. Journal of Genetic Programming and Evolvable Machines, 3(3):259–282, 2002.
14. T. Kalganova. Bidirectional incremental evolution in extrinsic evolvable hardware. In J. Lohn et al., editor, Proc. of the 2nd NASA/DoD Workshop on Evolvable Hardware, pages 65–74. IEEE Computer Society, Silicon Valley, USA, July 2000.
15. D. Job V. Vassilev and J. Miller. Towards the automatic design of more efficient digital circuits. In J. Lohn et al., editor, Proc. of the 2nd NASA/DoD Workshop on Evolvable Hardware, pages 151–160. IEEE Computer Society, Silicon Valley, USA, July 2000.
16. J. F. Miller and P. Thomson. Aspects of digital evolution: Geometry and learning. In M. Sipper et al., editors, Evolvable Systems: From Biology to Hardware. Second International Conference, ICES 98, volume 1478 of Lecture Notes in Computer Science, pages 25–35. Springer-Verlag, 1998.
17. D. Goldberg. Genetic Algorithms in search, optimization, and machine learning. Addison–Wesley, 1989.