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Analysis of the Distribution of Individuals in Modified Genetic Algorithms

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Artifical Intelligence and Soft Computing (ICAISC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6114))

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Abstract

The article presents the results of the analysis of the distribution of individuals in a modified genetic algorithm for solving function optimization problems. In the proposed modification of the genetic algorithm, we use the fuzzy logic controller (FLC). The authors proposed the FLC, which estimates all individuals in the population and modifies the probability of the selection to the parents’ pool and the probability of the mutation of their genes. In the article we present the results of the analysis of the distribution of individuals in all generations of the algorithm. We compared the results of the elementary algorithm and the algorithm with the adaptation of the selection and mutation probabilities. The new algorithm has been tested on a number of sophisticated functions with satisfactory results.

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Author information

Authors and Affiliations

  1. Academy of Humanities and Economics in Lodz, Poland

    Krzysztof Pytel

  2. Department of Biophysics, Medical University in Lodz, Poland

    Tadeusz Nawarycz

Authors
  1. Krzysztof Pytel
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  2. Tadeusz Nawarycz
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Editor information

Editors and Affiliations

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

    Leszek Rutkowski

  2. Academy of Humanities and Economics in Łódź, ul. Rewolucji 1905 nr 64, Łódź, Poland

    Rafał Scherer

  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, Berkeley Initiative in Soft Computing (BISC), 94720-1776, CA

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory Department of Electrical and Computer Engineering, University of Louisville, 40292, Louisville, KY

    Jacek M. Zurada

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© 2010 Springer-Verlag Berlin Heidelberg

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Pytel, K., Nawarycz, T. (2010). Analysis of the Distribution of Individuals in Modified Genetic Algorithms. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artifical Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13232-2_24

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  • DOI: https://doi.org/10.1007/978-3-642-13232-2_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13231-5

  • Online ISBN: 978-3-642-13232-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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