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Application of Real Ant Colony Optimization Algorithm to Solve Space Fractional Heat Conduction Inverse Problem

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Information and Software Technologies (ICIST 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 639))

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Abstract

In this paper inverse problem for the space fractional heat conduction equation is investigated. In order to reconstruct the heat transfer coefficient, functional defining error of approximate solution is created. To minimize this functional the Real Ant Colony Optimization algorithm is used. The paper presents examples to illustrate the accuracy and stability of the presented algorithm.

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Authors and Affiliations

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

    Rafał Brociek & Damian Słota

Authors
  1. Rafał Brociek
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  2. Damian Słota
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Correspondence to Damian Słota .

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Editors and Affiliations

  1. Kaunas University of Technology , Kaunas, Lithuania

    Giedre Dregvaite

  2. Kaunas University of Technology , Kaunas, Lithuania

    Robertas Damasevicius

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Brociek, R., Słota, D. (2016). Application of Real Ant Colony Optimization Algorithm to Solve Space Fractional Heat Conduction Inverse Problem. In: Dregvaite, G., Damasevicius, R. (eds) Information and Software Technologies. ICIST 2016. Communications in Computer and Information Science, vol 639. Springer, Cham. https://doi.org/10.1007/978-3-319-46254-7_29

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  • DOI: https://doi.org/10.1007/978-3-319-46254-7_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46253-0

  • Online ISBN: 978-3-319-46254-7

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