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Statistical Genetic Algorithms

  • Conference paper
Intelligent Information Systems 2001

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 10))

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Abstract

The problem of optimisation of complex systems with statistical fitness function has been considered. Examples of processes with statistical fitness functions in science, technology and medicine have been given. Statistical genetic algorithms for solving such optimisation problems have been proposed.

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References

  1. Michalewicz Z.: Genetic Algorithms + Data Structures = Evolution Programs, Springer-Verlag. Berlin, 1996.

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  2. Zytkow J.: Discovery of Concept Expansion, in Intelligent Information Systems VIII, Ustron 99

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  3. OssowsKl A., ZYTKOW J.: Geometric approach to a coherrent set of operational definitions, in Intelligent Information Systems, Bystra 2000.

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  4. OssowsKl A.: Geometria Baz Danych,in IV Konferencja Naukowa nt. Sztuczna Inteligencja SzI-15’2000,SiedlceWarszawa,2000.

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© 2001 Springer-Verlag Berlin Heidelberg

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Ossowski, A., Święcicka, A. (2001). Statistical Genetic Algorithms. In: Kłopotek, M.A., Michalewicz, M., Wierzchoń, S.T. (eds) Intelligent Information Systems 2001. Advances in Intelligent and Soft Computing, vol 10. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1813-0_13

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  • DOI: https://doi.org/10.1007/978-3-7908-1813-0_13

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1407-1

  • Online ISBN: 978-3-7908-1813-0

  • eBook Packages: Springer Book Archive

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