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Modified Version of Roulette Selection for Evolution Algorithms – The Fan Selection

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Artificial Intelligence and Soft Computing - ICAISC 2004 (ICAISC 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3070))

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Abstract

In this paper modified version of roulette selection for evolution algorithms – the fan selection, is presented. This method depends on increase of survive probability of better individuals at the expense of worse individuals. Test functions chosen from literature are used for determination of quality of proposed method. Results obtained for fan selection are compared with results obtained using roulette selection and elitist selection.

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References

  1. Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs, WNT, Warsaw (1999) (in polish)

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  2. Goldberg, D.: Genetic Algorithms in Search, Optimization, and Machine Learning, WNT, Warsaw (1998) (in polish)

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  3. Arabas, J.: Lectures of evolutionary algorithms, WNT, Warsaw (2001) (in polish)

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Author information

Authors and Affiliations

  1. Department of Electronic, Technical University of Koszalin, ul. Śniadeckich 2, 75-453, Koszalin, Poland

    Adam Słowik & Michał Białko

Authors
  1. Adam Słowik
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  2. Michał Białko
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. German Research Center of Artificial Intelligence (DFKI), Germany

    Jörg H. Siekmann

  3. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Initiative in Soft Computing (BISC), 94720-1776, Berkeley, CA

    Lotfi A. Zadeh

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© 2004 Springer-Verlag Berlin Heidelberg

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Słowik, A., Białko, M. (2004). Modified Version of Roulette Selection for Evolution Algorithms – The Fan Selection. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_70

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  • DOI: https://doi.org/10.1007/978-3-540-24844-6_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22123-4

  • Online ISBN: 978-3-540-24844-6

  • eBook Packages: Springer Book Archive

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