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Concentration of Population in Phenotypic Evolution

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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

An effect of the loss of diversity and the rapid concentration of an initially broadly spread population is analyzed for models of phenotypic evolution. The impact of the population size, different selection schemes, and dimensionality of the search space on population diversity is studied. Obtained results confirm common opinions that in large populations the diversity is greater and that the stronger selection pressure causes the faster concentration. High dimensional search spaces do not restrain the concentration of a population. In this case, populations cluster even faster than in one-dimensional search space.

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Authors and Affiliations

  1. Institute of Engineering Cybernetics, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Iwona Karcz-Dulȩba

Authors
  1. Iwona Karcz-Dulȩba
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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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Karcz-Dulȩba, I. (2004). Concentration of Population in Phenotypic Evolution. 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_61

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  • DOI: https://doi.org/10.1007/978-3-540-24844-6_61

  • 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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