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Artificial Bee Colony Algorithm Used for Reconstructing the Heat Flux Density in the Solidification Process

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Artificial Intelligence and Soft Computing (ICAISC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8468))

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Abstract

Scope of the paper is the procedure reconstructing the heat flux density in the solidification on the grounds of temperature measurements in selected points of the cast. Elaborated method is based on two procedures: finite difference method with application of the generalized alternating phase truncation method used for solving the appropriate direct solidification problem and the Artificial Bee Colony algorithm used for minimizing some functional representing the crucial part of the procedure.

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Author information

Authors and Affiliations

  1. Institute of Mathematics, Silesian University of Technology, Kaszubska 23, 44-100, Gliwice, Poland

    Edyta Hetmaniok, Damian Słota & Adam Zielonka

Authors
  1. Edyta Hetmaniok
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  2. Damian Słota
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  3. Adam Zielonka
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski  & Rafał Scherer  & 

  2. Częstochowa University of Technology, 42-200, Częstochowa, Poland

    Marcin Korytkowski

  3. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Computer Science Division, Department of Electrical Engineering and Computer Sciences, University of California Berkeley, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

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Hetmaniok, E., Słota, D., Zielonka, A. (2014). Artificial Bee Colony Algorithm Used for Reconstructing the Heat Flux Density in the Solidification Process. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2014. Lecture Notes in Computer Science(), vol 8468. Springer, Cham. https://doi.org/10.1007/978-3-319-07176-3_32

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  • DOI: https://doi.org/10.1007/978-3-319-07176-3_32

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07175-6

  • Online ISBN: 978-3-319-07176-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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