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Memetic Optimization of Graphene-Like Materials on Intel PHI Coprocessor

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Artificial Intelligence and Soft Computing (ICAISC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9692))

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Abstract

The paper is devoted to the optimization of energy of carbon based atomic structure with use of the memetic algorithm. The graphene like atoms structure is coded into floating point genes and underwent evolutionary changes. The global optimization algorithm is supported by local gradient based improvement of chromosomes. The optimization problem is solved with the use of Intel PHI (Intel Many Integrated Core Architecture – Intel MIC). The example of optimization and speedup measurement for parallel optimization are given in the paper.

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Acknowledgement

The authors are grateful to Czestochowa University of Technology for granting access to Intel CPU and Xeon Phi platforms providing by the MICLAB project No. POIG.02.03.00.24-093/13

Author information

Authors and Affiliations

  1. Institute of Computational Mechanics and Engineering, Silesian University of Technology, Gliwice, Poland

    Wacław Kuś

  2. AGH University of Science and Technology, Cracow, Poland

    Adam Mrozek

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

    Tadeusz Burczyński

Authors
  1. Wacław Kuś
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  2. Adam Mrozek
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  3. Tadeusz Burczyński
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Corresponding author

Correspondence to Wacław Kuś .

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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Kuś, W., Mrozek, A., Burczyński, T. (2016). Memetic Optimization of Graphene-Like Materials on Intel PHI Coprocessor. 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 9692. Springer, Cham. https://doi.org/10.1007/978-3-319-39378-0_35

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  • DOI: https://doi.org/10.1007/978-3-319-39378-0_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39377-3

  • Online ISBN: 978-3-319-39378-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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