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Parallel Tabu Search Algorithm with Uncertain Data for the Flexible Job Shop Problem

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Artificial Intelligence and Soft Computing (ICAISC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9693))

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Abstract

In many real production systems the parameters of individual operations are not deterministic. Typically, they can be modeled by fuzzy numbers or distributions of random variables. In this paper we consider the flexible job shop problem with machine setups and uncertain times of operation execution. Not only we present parallel algorithm on GPU with fuzzy parameters but also we investigate its resistance to random disturbance of the input data.

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Author information

Authors and Affiliations

  1. Department of Control Science and Mechatronics, Faculty of Electronics, Wrocław University of Technology, Janiszewskiego 11-17, 50-372, Wrocław, Poland

    Wojciech Bożejko

  2. Wrocław Centre of Networking and Supercomputing, Wyb. Wyspiańskiego 27, 50-370, Wrocław, Poland

    Mariusz Uchroński

  3. Institute of Computer Science, University of Wrocław, Joliot-Curie 15, 50-383, Wrocław, Poland

    Mieczysław Wodecki

Authors
  1. Wojciech Bożejko
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  2. Mariusz Uchroński
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  3. Mieczysław Wodecki
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Corresponding author

Correspondence to Wojciech Bożejko .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Czestochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Czestochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Czestochowa, Poland

    Rafał Scherer

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

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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© 2016 Springer International Publishing Switzerland

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Bożejko, W., Uchroński, M., Wodecki, M. (2016). Parallel Tabu Search Algorithm with Uncertain Data for the Flexible Job Shop Problem. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science(), vol 9693. Springer, Cham. https://doi.org/10.1007/978-3-319-39384-1_36

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  • DOI: https://doi.org/10.1007/978-3-319-39384-1_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39383-4

  • Online ISBN: 978-3-319-39384-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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