Skip to main content

Evolving Analog Circuits by Variable Length Chromosomes

  • Chapter
Advances in Evolutionary Computing

Part of the book series: Natural Computing Series ((NCS))

Abstract

This chapter proposes a framework of evolutionary analog circuits. This system features robustness to noise, optimized scaling, and high efficiency. These features solve the problems of the analog circuit design and manufacture. Methods utilized by this system are list-based chromosome, adjusted fitness, and two-stage evolution. Several experiments are conducted to examine the effectiveness of each of the methods. The first experiment compares other types of chromosome for the analog circuit design. The second experiment examines the robustness of evolutionary analog circuits. The other experiments are on the deduction of scaling and two-stage evolution.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ando, S., Ishizuka, M., Iba, H. (1999) “Evolvable Analog Circuit using Variable Length Chromosomes”, 56th IPSJ National Conf., (in Japanese).

    Google Scholar 

  2. Goldberg, D.E. and Deb, K. and Karpupta, H. and Harik, G. (1993) “Rapid, Accurate Optimization of Difficult Problems using Fast Messy Genetic Algorithms”, Proc. 5th Int. Joint Conf. on Genetic Algorithms (ICGA93).

    Google Scholar 

  3. Iba, H., Iwata, M., Higuchi, T. (1997) ”Machine Learning Approach to Evolvable Hardware”, Proc. Int. Conf. on Evolutionary Systems (ICES96), Higuchi, T., Iwata, M., and Liu, W. (Eds.), pp.327–343, Springer-Verlag.

    Google Scholar 

  4. Iwata, M., Kajitani, I., Yamada, H., Iba, H., and Higuchi, T. (1996) ”A Pattern Recognition System using Evolvable Hardware”, Parallel Problem Solving from Nature — PPSN IV, Lecture Notes in Computer Science 1141, pp.761–770, Springer-Verlag.

    Article  Google Scholar 

  5. Keymeulen, D., Sakanashi, H., Murakawa, M., Kajitani, I., Takahashi, E., Toda, K., Salami, M., Kajihara, N., and Otsu, N. (1999) ”Real-World Applications of Analog and Digital Evolvable Hardware”, IEEE Transactions on Evolutionary Computation, Vol.3, No.3.

    Google Scholar 

  6. Koyabu, M., Murao, H., and Kitamura, S., (1997)” Automatic Design of Electrical Circuit by Genetic Algorithm”, SICE 24th Symposium on Intelligent Systems, March, (in Japanese).

    Google Scholar 

  7. Koza, J., Bennett III, F. H., Andre, D., Keane, M. A., and Dunlap, F. (1997) ”Automated Synthesis of Analog Electrical Circuit by Means of Genetic Programming”, IEEE Transactions on Evolutionary Computation, Vol.1, No.2.

    Google Scholar 

  8. Koza, J., Bennett III, F. H., Andre, D., Keane, M. A. (1999) ”Genetic Programming III”, Morgan Kaufmann.

    Google Scholar 

  9. Oitchell, M. (1996) ”An introduction to genetic algorithms”, MIT Press.

    Google Scholar 

  10. Murakawa, M., Yoshizawa, S., Adachi, T., Suzuki, S., Takasuka, K., and Higuchi, T. (1998) ”Analogue EHW Chip for Intermediate Frequency Filter”, Proc. of the Second Int. Conf. on Evolvable Systems.

    Google Scholar 

  11. Nielsen, I. (1995) ”A C-T filter compiler-From specification to layout”, Analog Integrated Circuits and Signal Processing, vol.7, no.l, pp.21–33.

    Article  Google Scholar 

  12. Zebulum, R., Pacheco, M., and Vellasco, M. (1998) ”Analog Circuit Evolution in Intrinsic and Extrinsic Mode”, Proc. of Second Int. Conf. on Evolvable Systems, Lecture Note in Computer Science 1478 p. 154–165, Springer-Verlag.

    Article  Google Scholar 

  13. Zebulum, R., Pacheco, M., and Vellasco, M. (1999) “Artificial Evolution of Active Filters: A Case Study”, The First NASA/DOD Workshop on Evolvable Hardware.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Ando, S., Ishizuka, M., Iba, H. (2003). Evolving Analog Circuits by Variable Length Chromosomes. In: Ghosh, A., Tsutsui, S. (eds) Advances in Evolutionary Computing. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18965-4_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-18965-4_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-62386-8

  • Online ISBN: 978-3-642-18965-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics