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The Topology Optimization Using Evolutionary Algorithms

  • Conference paper
IUTAM Symposium on Evolutionary Methods in Mechanics

Part of the book series: Solid Mechanics and Its Applications ((SMIA,volume 117))

Abstract

The coupling of modern, alternative optimization methods such as evolutionary algorithms with the effective tool for analysis of mechanical structures - BEM, gives a new optimization method, which allows to perform the generalized shape optimization (a simultaneous shape and topology optimization) for elastic mechanical structures. This new evolutionary method is free from typical limitations connected with classical optimization methods. In the paper results of researches on the application of evolutionary methods in the domain of mechanics are presented. Numerical examples for some topology optimization problems are presented, too.

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References

  1. Burczyński T., Beluch W., Kokot G., Nowakowski M., Orantek P.: Evolutionary BEM Computation in Optimization and Identification, Proc. IUTAM/IACM/IABEM Symposium, Cracow, 31.5—3.06, 1999, 13–15

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Author information

Authors and Affiliations

  1. Department for Strength of Materials and Computational Mechanics, Silesian University of Technology, Konarskiego 18a, 44-100, Gliwice, Poland

    Grzegorz Kokot & Piotr Orantek

Authors
  1. Grzegorz Kokot
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  2. Piotr Orantek
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Editor information

Editors and Affiliations

  1. Department for Strength of Materials, Silesian University of Technology, Gliwice, Poland

    Tadeusz Burczyński

  2. Institute of Computer Modelling, Cracow University of Technology, Cracow, Poland

    Tadeusz Burczyński

  3. Department of Applied Computer Science, Faculty of Management, AGH University of Science and Technology, Cracow, Poland

    Andrzej Osyczka

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© 2004 Kluwer Academic Publishers

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Kokot, G., Orantek, P. (2004). The Topology Optimization Using Evolutionary Algorithms. In: Burczyński, T., Osyczka, A. (eds) IUTAM Symposium on Evolutionary Methods in Mechanics. Solid Mechanics and Its Applications, vol 117. Springer, Dordrecht. https://doi.org/10.1007/1-4020-2267-0_17

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  • DOI: https://doi.org/10.1007/1-4020-2267-0_17

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-2266-1

  • Online ISBN: 978-1-4020-2267-8

  • eBook Packages: Springer Book Archive

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