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Dynamic Parameters in GP and LGP

  • Conference paper
Advanced Methods for Computational Collective Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 457))

Abstract

Genetic Programming (GP) is one of Evolutionary Algorithms. There are many theories concerning setting values of main parameters that determine how many individuals will crossover or mutate. In this article we present a method of building dynamic parameter that will improve fitness function. In this way we create hybrid parameters that affect on individual. For testing we use our own dedicated platform. Our investigations of the best range of each parameter we based on our preliminary experiments.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, University of Silesia, ul.Bȩdzińska 39, Sosnowiec, Poland

    Tomasz Łysek & Mariusz Boryczka

Authors
  1. Tomasz Łysek
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  2. Mariusz Boryczka
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Corresponding author

Correspondence to Tomasz Łysek .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Wyb. Wyspianskiego 27, Wroclaw, 50-370, Poland

    Ngoc Thanh Nguyen

  2. Institute of Informatics, Wroclaw University of Technology, Wyb. Wyspianskiego 27, Wroclaw, 50-370, Poland

    Bogdan Trawiński

  3. Institute of Informatics, Wroclaw University of Technology, Wyb. Wyspianskiego 27, Wroclaw, 50-370, Poland

    Radosław Katarzyniak

  4. , Dept. of Computer Science & Engineering, INHA University, #253 YongHyun-dong, Nam-Ku, Inchon, 402-751, Korea, Republic of (South Korea)

    Geun-Sik Jo

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Łysek, T., Boryczka, M. (2013). Dynamic Parameters in GP and LGP. In: Nguyen, N., Trawiński, B., Katarzyniak, R., Jo, GS. (eds) Advanced Methods for Computational Collective Intelligence. Studies in Computational Intelligence, vol 457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34300-1_21

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  • DOI: https://doi.org/10.1007/978-3-642-34300-1_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34299-8

  • Online ISBN: 978-3-642-34300-1

  • eBook Packages: EngineeringEngineering (R0)

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