Nothing Special   »   [go: up one dir, main page]

Skip to main content

Data Processing in Immune Optimization of the Structure

  • Conference paper
Beyond Databases, Architectures and Structures (BDAS 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 521))

Abstract

The paper is devoted data processing in immune optimization (using artificial immune system - AIS) to selected optimization problems of the structures. The Procedure for the Exchange of Data - PED in immune optimization is presented. During this procedure important information about design variables and the objective function are saved in specific files. Additional commercial software MSC Patran and Nastran to analyze of mechanical structures is used.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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.

Similar content being viewed by others

References

  1. Balthrop, J., Esponda, F., Forrest, S., Glickman, M.: Coverage and generalization in an artificial immune system. In: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2002, pp. 3–10. Morgan Kaufmann, New York (2002)

    Google Scholar 

  2. Burczyński, T., Długosz, A., Kuś, W., Orantek, P., Poteralski, A., Szczepanik, M.: Intelligent computing in evolutionary optimal shaping of solids. In: 3rd International Conference on Computing, Communications and Control Technologies, Proceedings, vol. 3, pp. 294–298 (2005)

    Google Scholar 

  3. Burczyński, T., Kuś, W., Długosz, A., Poteralski, A., Szczepanik, M.: Sequential and distributed evolutionary computations in structural optimization. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds.) ICAISC 2004. LNCS (LNAI), vol. 3070, pp. 1069–1074. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  4. Burczyński, T., Szczepanik, M.: Intelligent optimal design of spatial structures. Computer and Structures. Elsevier (2013)

    Google Scholar 

  5. de Castro, L.N., Timmis, J.: Artificial immune systems as a novel soft computing paradigm. Soft Computing 7(8), 526–544 (2003)

    Article  Google Scholar 

  6. Heppner, F., Grenander, U.: A stochastic nonlinear model for coordinated bird flocks. The Ubiquity of Chaos. AAAS Publications, Washington, DC (1990)

    Google Scholar 

  7. Kennedy, J., Eberhart, R.C.: Particle Swarm Optimisation. In: Proceedings of IEEE Int. Conf. on Neural Networks, Piscataway, NJ (1995)

    Google Scholar 

  8. Michalewicz, Z.: Genetic algorithms + data structures = evolutionary programs. Springer, Berlin (1992)

    Book  Google Scholar 

  9. Mrozek, D., Małysiak, B., Kozielski, S.: An optimal alignment of proteins energy characteristics with crisp and fuzzy similarity awards. In: 2007 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2007, London, England, pp. 1513–1518 (2007)

    Google Scholar 

  10. Mrozek, D., Małysiak, B., Kozielski, S.: Alignment of protein structure energy patterns represented as sequences of fuzzy numbers. In: 2009 Annual Meeting of the North-American-Fuzzy-Information-Processing-Society, Cincinnati, OH, USA, pp. 35–40 (2009)

    Google Scholar 

  11. Poteralski, A.: Optimization of mechanical structures using artificial immune algorithm. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B. z. (eds.) BDAS 2014. CCIS, vol. 424, pp. 280–289. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  12. Poteralski, A., Szczepanik, M., Beluch, W., Burczyński, T.: Optimization of composite structures using bio-inspired methods. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2014, Part II. LNCS, vol. 8468, pp. 385–395. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  13. Poteralski, A., Szczepanik, M., Dziatkiewicz, G., Kuś, W., Burczyński, T.: Comparison between PSO and AIS on the basis of identification of material constants in piezoelectrics. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2013, Part II. LNCS, vol. 7895, pp. 569–581. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  14. Poteralski, A., Szczepanik, M., Ptaszny, J., Kuś, W., Burczyński, T.: Hybrid artificial immune system in identification of room acoustic properties. Inverse Problems in Science and Engineering. Taylor and Francis (2013)

    Google Scholar 

  15. Ptak, M., Ptak, W.: Basics of immunology. Jagiellonian University Press, Cracow (2000) (in Polish)

    Google Scholar 

  16. Reynolds, C.W.: Flocks, herds, and schools, a distributed behavioral model. Computer Graphics 21, 25–34 (1987)

    Article  Google Scholar 

  17. Szczepanik, M., Burczyński, T.: Swarm optimization of stiffeners locations in 2-d structures. Bulletin of the Polish Academy of Sciences, Technical Sciences 60(2), 241–246 (2012)

    Google Scholar 

  18. Szczepanik, M., Poteralski, A., Długosz, A., Kuś, W., Burczyński, T.: Bio-inspired optimization of thermomechanical structures. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2013, Part II. LNCS, vol. 7895, pp. 79–90. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  19. Szczepanik, M., Poteralski, A., Ptaszny, J., Burczyński, T.: Hybrid particle swarm optimizer and its application in identification of room acoustic properties. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) EC 2012 and SIDE 2012. LNCS, vol. 7269, pp. 386–394. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  20. Wierzchoń, S.T.: Artificial Immune Systems, Theory and Applications. EXIT, Warsaw (2001) (in Polish)

    Google Scholar 

  21. Zienkiewicz, O.C., Taylor, R.L.: The finite element method, vol. I., II. McGraw Hill (1989, 1991)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Arkadiusz Poteralski .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Poteralski, A. (2015). Data Processing in Immune Optimization of the Structure. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. BDAS 2015. Communications in Computer and Information Science, vol 521. Springer, Cham. https://doi.org/10.1007/978-3-319-18422-7_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-18422-7_28

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18421-0

  • Online ISBN: 978-3-319-18422-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics