Shrinking the genotype: L-systems for EHW?

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

Volumn 2210, Issue , 2001, Pages 128-139

  Haddow, Pauline C ^a   Tufte, Gunnar ^a   Van Remortel, Piet ^b  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^b VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; GENETIC ALGORITHMS;

GENOTYPE-PHENOTYPE MAPPING; IMPLEMENTATION PLATFORMS; INTRINSIC EVOLUTION; L-SYSTEMS; MATHEMATICAL FORMALISM; ON CHIPS; SINGLE CELLS;

BIOLOGY;

EID: 84955568731     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45443-8_11     Document Type: Conference Paper

References (18)

1. A. Thompson. Evolving electronic robot controllers that exploit hardware resources. In The 3rd European Conference on Artificial life (ECAL95), 1995.
2. A. Thompson. An evolved circuit, intrinsic in silicon, entwined with physics. In 1st International Conference on Evolvable Systems, ICES, Lecture Notes in Computer Science, pages 390-405. Springer, 1996.
3. J.R. Koza et al. Automated synthesis of analog electrical circuits by means of genetic programming. IEEE Transactions on Evolutionary Computation, 1(2):109-128, July 1997.
4. T. Higuchi et al. Evolvable hardware and it’s application to pattern recognition and fault-tolerant systems. In E. Sanchez and M. Tomassini, editors, Towards Evolvable Hardware: the Evolutionary Engine ering Approach, volume 1062of Lecture Notes in Computer Science, pages 118-135. Springer, 1996.
5. Aristid Lindenmayer. Mathematical Models for Cellular Interactions in Development. Journal of Theoretical Biology, 1968.
6. P.C. Haddow and G. Tufte. Bridging the genotype-phenotype mapping for digital FPGAs. In to appear in the 3rd NASA/DoD Workshop on Evolvable Hardware, 2001.
7. I. Harvey et al. Why evolutionary robotics? Robotics and Manufacturing: Recent Tends in Research and Applications, 6:293-298, 1996.
8. J. Torresen. A divide-and-conquer approach to evolvable hardware. In 2nd International Conference on Evolvable Systems, ICES, Lecture Notes in Computer Science, pages 57-65. Springer, 1998.
9. P.J. Bentley and S. Kumar. Three ways to grow designs: A comparison of embryogenies for an evolutionary design problem. In Genetic and Evolutionary Computation Conference (GECCO’99), pages 35-43, 1999.
10. C. Ortega and A. T yrell. A hardware implementation of an embyonic architecture using virtex FPGAs. In Evolvable Systems: from Biology to Hardware, ICES, Lecture Notes in Computer Science, pages 155-164. Springer, 2000.
11. L. Prodan et al. Biology meets electronics: The path to a bio-inspired FPGA. In Evolvable Systems: from Biology to Hardware, ICES, Lecture Notes in Computer Science, pages 187-196. Springer, 2000.
12. F. Gruau and D. Whitley. Adding learning to the cellular development of neural networks: Evolution and the baldwin effect. Journal of Evolutionary Computation, 1993.
13. H. Kitano. Building complex systems using development process: An engineering approach. In Evolvable Systems: from Biology to Hardware, ICES, Lecture Notes in Computer Science, pages 218-229. Springer, 1998.
14. J. Koza. Genetic Programming. The MIT Press, 1993.
15. E. Mjolsness et al. Morphogenesis in plants: Mo delling the shoot apical meristem and possible applications. In The first NASA/DoD Workshop on Evolvable Hardware, pages 139-140, 1999.
16. P.J. Bentley. Exploring component-based representations-the secret of creativity by evolution. In Fourth Intern. Conf on Adaptive Computing in Design and Manufacture, 2000.
17. P.J. Bentley and S. Kunar. Three ways to grow designs: A comparison of embryongenies for an evolutionary design problem. In GECCO, pages 35-43, 2000.
18. P.C. Haddow and G. Tufte. An evolvable hardware FPGA for adaptive hardware. In Congress on Evolutionary Computation (CEC00), pages 553-560, 2000.