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Cosmic Rays Inspired Mutation in Genetic Algorithms

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Artificial Intelligence and Soft Computing (ICAISC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10245))

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Abstract

In this paper a new mutation operator is presented. It is based on simulating cosmic ray impact on living tissue. It was proved that the proposed mutation method has a compound probability distribution, which is also derived. Numerical experiments indicate the usefulness of this concept for problems of moderate sizes.

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Acknowledgements

The author would like to express his thanks to the anonymous referees for their helpful comments and suggestions.

This paper was supported by grant for young research of Faculty of Electronics, Wroclaw University of Technology project number 0402/0174/16

Author information

Authors and Affiliations

  1. Department of Computer Engineering, Faculty of Electronics, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50 370, Wrocław, Poland

    Wojciech Rafajłowicz

Authors
  1. Wojciech Rafajłowicz
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Corresponding author

Correspondence to Wojciech Rafajłowicz .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Kraków, 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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Rafajłowicz, W. (2017). Cosmic Rays Inspired Mutation in Genetic Algorithms. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2017. Lecture Notes in Computer Science(), vol 10245. Springer, Cham. https://doi.org/10.1007/978-3-319-59063-9_37

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  • DOI: https://doi.org/10.1007/978-3-319-59063-9_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59062-2

  • Online ISBN: 978-3-319-59063-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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