Skip to main content

On Evolutionary Design of Complex Structures and Electronic Circuits

  • Conference paper
AETA 2013: Recent Advances in Electrical Engineering and Related Sciences

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 282))

  • 3445 Accesses

Abstract

This chapter focuses on motivating an application of evolutionary computation to complex problems especially with respect to chaotic systems. In this chapter, general evolutionary techniques are first reviewed, including the so-called evolvable hardware, with some selected examples of their applications. Then, motivation of studying chaotic systems as an interesting application domain for evolutionary algorithms is provided with brief discussions.

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 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 329.99
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. Koza, J.: Genetic Programming: A paradigm for genetically breeding populations of computer programs to solve problems, Stanford University, Computer Science Department. Technical Report, STAN-CS-90-1314 (1990)

    Google Scholar 

  2. Koza, J.: Genetic Programming. MIT Press (1998)

    Google Scholar 

  3. Ryan, C., Collins, J.J., Neill, M.O.: Grammatical Evolution: Evolving Programs for an Arbitrary Language. In: Banzhaf, W., Poli, R., Schoenauer, M., Fogarty, T.C. (eds.) EuroGP 1998. LNCS, vol. 1391, pp. 83–96. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  4. Zelinka, I., Oplatkova, Z., Nolle, L.: Analytic programming – Symbolic regression by means of arbitrary evolutionary algorithms. Int. J. of Simulation, Systems, Science and Technology 6(9), 44–56 (2005)

    Google Scholar 

  5. Johnson, C.: Artificial immune systems programming for symbolic regression. In: Ryan, C., Soule, T., Keijzer, M., Tsang, E.P.K., Poli, R., Costa, E. (eds.) EuroGP 2003. LNCS, vol. 2610, Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  6. Weisser, R., Osmera, P.: Two-Level Transplant Evolution for Optimization of General Controllers. In: New Trends in Technologies, Sciyo (2010)

    Google Scholar 

  7. Weisser, R., Osmera, P.: Two-level Tranpslant Evolution. In: 17th Zittau Fuzzy Colloquium, Zittau, Germany (2010)

    Google Scholar 

  8. Weisser, R., Osmera, P., Matousek, R.: Transplant Evolution with Modified Schema of Differential Evolution: Optimization Structure of Controllers. In: International Conference on Soft Computing MENDEL, Brno, Czech Republic (2010)

    Google Scholar 

  9. O’Neill, M., Brabazon, A.: Grammatical Differential Evolution. In: Proceedings of International Conference on Artificial Intelligence, pp. 231–236. CSEA Press (2006)

    Google Scholar 

  10. Koza, J., Bennet, F., Andre, D., Keane, M.: Genetic Programming III. Morgan Kaufmann, New York (1999)

    MATH  Google Scholar 

  11. Zelinka, I., Oplatkova, Z.: Analytic programming – Comparative study. In: Proceedings of Second International Conference on Computational Intelligence, Robotics, and Autonomous Systems, Singapore (2003)

    Google Scholar 

  12. Koza, J., Keane, M., Streeter, M.: Evolving inventions. Scientific American, 40–47 (2003)

    Google Scholar 

  13. Oplatkova, Z., Zelinka, I.: Investigation on artificial ant using analytic programming. In: Proceedings of Genetic and Evolutionary Computation Conference, Seattle, WA, pp. 949–950 (2006)

    Google Scholar 

  14. O’Neill, M., Ryan, C.: Grammatical Evolution, Evolutionary Automatic Programming in an Arbitrary Language. Springer, New York (2003)

    MATH  Google Scholar 

  15. Zelinka, I., Chen, G., Celikovsky, S.: Chaos Synthesis by Means of Evolutionary algorithms. International Journal of Bifurcation and Chaos 18(4), 911–942 (2008) ISSN 0218-1274

    Google Scholar 

  16. Zelinka, I., Chen, G., Celikovsky, S.: Evolutionary Algorithms and Chaotic Systems. Springer, Germany (2010)

    Book  MATH  Google Scholar 

  17. Zelinka, I.: Analytic programming by Means of new evolutionary algorithms. In: Proceedings of 1st International Conference on New Trends in Physics 2001, Brno, Czech Republic, pp. 210–214 (2001)

    Google Scholar 

  18. Zelinka, I.: Analytic programming by means of SOMA algorithm. In: Proceedings of First International Conference on Intelligent Computing and Information Systems, Cairo, Egypt, pp. 148–154 (2002)

    Google Scholar 

  19. Oplatkova, Z.: Optimal trajectory of robots using symbolic regression. In: Proceedings of 56th International Astronautics Congress, Fukuoka, Japan (2005)

    Google Scholar 

  20. Zelinka, I., Davendra, D., Senkerik, R., Jasek, R., Oplatkova, Z.: Analytical Programming - a Novel Approach for Evolutionary Synthesis of Symbolic Structures. In: Kita, E. (ed.) Evolutionary Algorithms. InTech (2011), http://www.intechopen.com/books/evolutionary-algorithms/analytical-programming-a-novel-approach-for-evolutionary-synthesis-of-symbolic-structures , doi:10.5772/16166, ISBN: 978-953-307-171-8

  21. Zelinka, I., Oplatkova, Z., Nolle, L.: Boolean Symmetry Function Synthesis by Means of Arbitrarry Evolutionary Algorithms - Comparative Study. In: 18th European Simulation Multiconference, ESM 2004, Magdeburg, Germany, Gruner Druck, GmbH (2004)

    Google Scholar 

  22. Zelinka, I., Oplatkova, Z.: Boolean Parity Function Synthesis by Means of Arbitrary Evolutionary Algorithms - Comparative Study. In: 8th World Multiconference on Systemics, Cybernetics and Informatics, SCI 2004, Orlando, USA (2004)

    Google Scholar 

  23. Strakos, R.: Design electronics circuits by means of evolution method, UTB Zlin. Diploma thesis, Czech Republic (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ivan Zelinka .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zelinka, I. (2014). On Evolutionary Design of Complex Structures and Electronic Circuits. In: Zelinka, I., Duy, V., Cha, J. (eds) AETA 2013: Recent Advances in Electrical Engineering and Related Sciences. Lecture Notes in Electrical Engineering, vol 282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41968-3_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-41968-3_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41967-6

  • Online ISBN: 978-3-642-41968-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics