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International Conference on Computational Intelligence

Fuzzy Days 1997: Computational Intelligence Theory and Applications pp 581–582Cite as

Genetic programming in optimization of Algorithms

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1226))

Abstract

The problem of improving the efficiency of Genetic Algorithms to search global optimum is considered. An approach based on applying Genetic Programming methodology to find the best structure of Genetic Algorithms for global optimization is described. It allows to obtain better results in comparison with standard Genetic Algorithms.

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References

  1. J.R. Koza: Genetic Programming, MIT Press 1992.

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  2. D.E. Goldberg: Genetic Algorithims in Search, Optimization and Machine Learning. Addison-Wesley, Reading, MA, 1989.

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  3. A. Torn, A. Zilinskas: Global Optimization, Springer Verlag Berlin, 1989.

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  4. A. P. Fraser: An Introduction to Genetic Programming in C++ (Version 0.40), from ftp.io.com.

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Author information

Authors and Affiliations

  1. Institute of Electronic Fundamentals, Warsaw University of Technology, Nowowiejska 15/19, 00-665, Warsaw, Poland

    Piotr Wasiewicz & Jan Mulawka

Authors
  1. Piotr Wasiewicz
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  2. Jan Mulawka
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Editor information

Bernd Reusch

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© 1997 Springer-Verlag Berlin Heidelberg

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Wasiewicz, P., Mulawka, J. (1997). Genetic programming in optimization of Algorithms. In: Reusch, B. (eds) Computational Intelligence Theory and Applications. Fuzzy Days 1997. Lecture Notes in Computer Science, vol 1226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62868-1_171

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  • DOI: https://doi.org/10.1007/3-540-62868-1_171

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62868-2

  • Online ISBN: 978-3-540-69031-3

  • eBook Packages: Springer Book Archive

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