Skip to main content

Part of the book series: Computational Methods in Applied Sciences ((COMPUTMETHODS,volume 36))

Abstract

The paper is devoted to applications of two bio-inspired methods: artificial immune systems and particle swarm optimizers to selected shape and topology optimization problems of structures. It contains numerical examples and comparisons of immune and swarm approaches with evolutionary optimization.

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 EPUB and 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

References

  1. BurczyƄski T, Kuƛ W, DƂugosz A, Poteralski A, Szczepanik M (2004) Sequential and distributed evolutionary computations in structural optimization ICAISC, In: International conference on artificial intelligence and soft computing, Lecture Notes on Artificial Intelligence, vol 3070. Springer

    Google Scholar 

  2. BurczyƄski T, Dlugosz A, Kuƛ W, Orantek P, Poteralski A, Szczepanik M (2005) Intelligent computing in evolutionary optimal shaping of solids, In: 3rd international conference on computing, communications and control technologies, vol 3, proceedings, pp 294–298

    Google Scholar 

  3. Szczepanik M, BurczyƄski T (2012) Swarm optimization of stiffeners locations in 2-D structures. Bull Pol Acad Sci Tech Sci 60(2):241–246

    Google Scholar 

  4. Szczepanik M, Poteralski A, Ptaszny J, BurczyƄski T (2012) Hybrid particle swarm optimizer and its application in identification of room acoustic properties. In: Swarm and evolutionary xomputation - international symposia, SIDE 2012 and EC 2012, held in conjunction with ICAISC 2012, Zakopane, Poland, April 29–May 3, 2012. Proceedings. Lecture Notes in Computer Science, vol 7269. Springer. ISBN 978-3-642-29352-8

    Google Scholar 

  5. Burczynski T, GĂłrski R, Poteralski A, Szczepanik M (2013) Soft computing in structural dynamics, In: Chapter 24 in computational methods in earthquake engineering. Springer

    Google Scholar 

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

    Google Scholar 

  7. Castro LN, Timmis J (2003) Artificial immune systems as a novel soft computing paradigm. Soft Comput 7(8):526–544

    Article  Google Scholar 

  8. Castro LN, Von Zuben FJ (2001) Immune and neural network models: theoretical and empirical comparisons. Int J Comput Intell Appl (IJCIA) 1(3):239–257

    Article  Google Scholar 

  9. Castro LN, Von Zuben FJ (2002) Learning and optimization using the clonal selection principle. IEEE Trans Evol Comput 6:239–251

    Article  Google Scholar 

  10. WierzchoƄ ST (2001) Artificial immune systems. Theory and applications, EXIT, Warsaw (in Polish)

    Google Scholar 

  11. Kennedy J, Eberhart RC (2001) Swarm Intelligence. Morgamn Kauffman, Burlington

    Google Scholar 

  12. Reynolds CW (1987) Flocks, herds, and schools. A distrib behav model. Comput Graph 21:25–34

    Article  Google Scholar 

  13. BurczyƄski T, Poteralski A, Szczepanik M (2003) Genetic generation of 2-D and 3-D structures, In: Second M.I.T. conference on computational fluid and solid mechanics, Massachusetts, Institute of Technology Cambridge, p 02139

    Google Scholar 

  14. BurczyƄski T, Poteralski A, Szczepanik M (2007) Topological evolutionary computing in the optimal design of 2D and 3D structures. Eng Optim Taylor & Francis 39(7):811–830

    Article  Google Scholar 

  15. Zienkiewicz OC, Taylor RL (1991) The finite element method. McGraw-Hill, Vol. I., 1989, Vol. II, New York

    Google Scholar 

  16. Osher S, Sethian JA (1988) Front propagating with curvature dependent speed: algorithms based on the Hamilton-Jacobi formulations. J Comput Phys 78:12–49

    Article  MathSciNet  Google Scholar 

  17. Allaire G, Jouve F, Toader AM (2004) Structural optimization using sensitivity analysis and a level-set method. J Comput Phys 194:363–393

    Article  MATH  MathSciNet  Google Scholar 

  18. Burczynski T, Szczepanik M (2013) Intelligent optimal design of spatial structures. Comput Struct 127:102–115

    Article  Google Scholar 

  19. BurczyƄski T, Bereta M, Poteralski A, Szczepanik M (2010) Immune computing: intelligent methodology and its applications in bioengineering and computational mechanics. In: Advanced structured materials, vol 1. Comput Meth Mech, Springer, Berlin

    Google Scholar 

  20. BurczyƄski T, Kane JH, Balakrishna C (1997) Comparison o shape design sensitivity analysis formulations via material derivative-adjoint variable and implicit differentiation techniques for 2-D and 3-D curved boundary element method. Comput Methods Appl Mech Eng 142(1–2):89–108

    Article  MATH  Google Scholar 

  21. BurczyƄski T, Bonnet M, Nowakowski M (2002) Sensitivity analysis for shape perturbation of cavity or internal crack using BIE and adjoint variable approach. Int J Solids Struct 39(9):2365–2385

    Article  MATH  Google Scholar 

  22. Poteralski A, Szczepanik M, Dziatkiewicz G et al (2011) Immune identification of piezoelectric material constants using BEM. Inverse Probl Sci Eng 19(1):103–116

    Article  MATH  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 chapter

Cite this chapter

BurczyƄski, T., Poteralski, A., Szczepanik, M. (2015). Immune and Swarm Optimization of Structures. In: Greiner, D., GalvĂĄn, B., PĂ©riaux, J., Gauger, N., Giannakoglou, K., Winter, G. (eds) Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences, vol 36. Springer, Cham. https://doi.org/10.1007/978-3-319-11541-2_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11541-2_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11540-5

  • Online ISBN: 978-3-319-11541-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics