Skip to main content

The Extension of Linear Coding Method for Automated Analog Circuit Design

  • Conference paper
Advances in Swarm Intelligence (ICSI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7929))

Included in the following conference series:

Abstract

Encoding method is one of the key factors of evolutionary design of analog circuit. Due to the adaptability, convenience and relatively short length of linear coding method, it has been widely used for automation of analog circuit design. Evolutionary design of analog circuits, which is not limited to traditional knowledge, could generate circuits with novel structures and parameters. The novel structures provide more possible solutions for fault-tolerance design of analog circuits. While, the current linear coding method based on five connection ways limits the number of possible circuit structures. So in this paper, we improve the existing linear coding method by expanding the instruction set. The experimental results show that the improved linear coding method can generate richer circuit structures, and it opens up a new way for the fault-tolerance design of analog circuits.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Yao, X., Higuchi, T.: Promises and Challenges of Evolvable Hardware. IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews 29, 87–97 (1999)

    Article  Google Scholar 

  2. Koza, J.R., Bennett III, F.H., Andre, D., et al.: Automated WYWIWYG Design of both the topology and component values of analog electrical circuits using genetic programming. In: Koza, J.R. (ed.) The first Annual Conference on Genetic Programming, Stanford University, CA, USA, pp. 123–131. MIT Press, Massachusetts (1996)

    Google Scholar 

  3. Koza, J.R., Bennett III, F.H., Andre, D., et al.: Automated synthesis of analog electrical circuits by mean of genetic programming. IEEE Transactions on Evolutionary Computation 1, 109–128 (1997)

    Article  Google Scholar 

  4. Grimbleby, J.B.: Automatic Analogue Network Synthesis Using Genetic Algorithms. In: The First Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, Sheffield, UK, pp. 53–58 (1995)

    Google Scholar 

  5. Mattiussi, C., Floreano, D.: Analog Genetic Encoding for the Evolution of Circuits and Networks. IEEE Transactions on Evolutionary Computation 11, 596–607 (2007)

    Article  Google Scholar 

  6. Lohn, J.D., Colombano, S.P.: Automated Analog Circuit Synthesis Using a Linear Representation. In: Sipper, M., Mange, D., Pérez-Uribe, A. (eds.) ICES 1998. LNCS, vol. 1478, pp. 125–133. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  7. Lohn, J.D., Colombano, S.P.: A Circuit Representation Technique for Automated Circuit Design. IEEE Transactions on Evolutionary Computation 3(3), 205–219 (1999)

    Article  Google Scholar 

  8. Vieira, P.F., Sa, L.B., Botelho, J.P.B., Mesquita, A.: Evolutionary synthesis of analog circuits using only MOS transistors. In: Proceedings of 2004 NASA/DoD Conference on Evolvable Hardware, pp. 38–45 (2004)

    Google Scholar 

  9. Liu, M., He, J.: An Evolutionary Negative-Correlation Framework for Robust Analog Circuit Design under Uncertain Faults. IEEE Transactions on Evolutionary Computation 99, 1–27 (2012)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Li, Z., He, J. (2013). The Extension of Linear Coding Method for Automated Analog Circuit Design. In: Tan, Y., Shi, Y., Mo, H. (eds) Advances in Swarm Intelligence. ICSI 2013. Lecture Notes in Computer Science, vol 7929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38715-9_57

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38715-9_57

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38714-2

  • Online ISBN: 978-3-642-38715-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics