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Immune Optimal Design of 2-D and 3-D Structures

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Artificial Intelligence and Soft Computing (ICAISC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9120))

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Abstract

The paper deals with an application of the artificial immune system (AIS) to the optimization of shape, topology and material properties of 2-D and 3-D structures. Structures considered in this work are analyzed by the finite element method (FEM). Optimization criteria that are taken into account concern minimize mass of the structure. Numerical examples demonstrate that the method based on soft computing is a very effective technique for solving computer aided optimal design.

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Author information

Authors and Affiliations

  1. Faculty of Mechanical Engineering, Institute of Computational and Mechanical Engineering, Silesian University of Technology, ul. Konarskiego 18a, 44-100, Gliwice, Poland

    Arkadiusz Poteralski & Mirosław Szczepanik

  2. Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland

    Tadeusz Burczyński

Authors
  1. Arkadiusz Poteralski
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  2. Mirosław Szczepanik
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  3. Tadeusz Burczyński
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Corresponding author

Correspondence to Arkadiusz Poteralski .

Editor information

Editors and Affiliations

  1. Czestochowa University of Technology, Czestochowa, Poland

    Leszek Rutkowski

  2. Czestochowa University of Technology, Czestochowa, Poland

    Marcin Korytkowski

  3. Czestochova Univ of Technology, Częstochova, Poland

    Rafal Scherer

  4. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. Louisville, Kentucky, USA

    Jacek M. Zurada

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Poteralski, A., Szczepanik, M., Burczyński, T. (2015). Immune Optimal Design of 2-D and 3-D Structures. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2015. Lecture Notes in Computer Science(), vol 9120. Springer, Cham. https://doi.org/10.1007/978-3-319-19369-4_42

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  • DOI: https://doi.org/10.1007/978-3-319-19369-4_42

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19368-7

  • Online ISBN: 978-3-319-19369-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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