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Immunological Selection Mechanism in Agent-Based Evolutionary Computation

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Intelligent Information Processing and Web Mining

Part of the book series: Advances in Soft Computing ((AINSC,volume 31))

Abstract

Artificial immune systems turned out to be interesting technique introduced into the area of soft-computing. In the paper the idea of an immunological selection mechanism in the agent-based evolutionary computation is presented. General considerations are illustrated by the particular system dedicated to function optimization. Selected experimental results conclude the work.

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References

  1. M. Kisiel-Dorohinicki, G. Dobrowolski, and E. Nawarecki. Agent populations as computational intelligence. In Leszek Rutkowski and Janusz Kacprzyk, editors, Neural Networks and Soft Computing, Advances in Soft Computing, pages 608–613. Physica-Verlag, 2003.

    Google Scholar 

  2. P. Bonissone. Soft computing: the convergence of emerging reasoning technologies. Soft Computing, 1(1):6–18, 1997.

    MathSciNet  Google Scholar 

  3. A. Byrski, M. Kisiel-Dorohinicki, and E. Nawarecki. Agent-based evolution of neural network architecture. In M. Hamza, editor, Proc. of the IASTED Int. Symp.: Applied Informatics. IASTED/ACTA Press, 2002.

    Google Scholar 

  4. W.H. Johnson, L.E. DeLanney, and T.A. Cole. Essentials of Biology. New York, Holt, Rinehart and Winston, 1969.

    Google Scholar 

  5. M. Kisiel-Dorohinicki. Agent-oriented model of simulated evolution. In William I. Grosky and Frantisek Plasil, editors, SofSem 2002: Theory and Practice of Informatics, volume 2540 of LNCS. Springer-Verlag, 2002.

    Google Scholar 

  6. T. M. Mitchell. Machine learning. McGraw-Hill, 1997.

    Google Scholar 

  7. J. Twycross. An Immune System Approach to Document Classification, volume HPL-2002-288. HP Laboratories Bristol, 2002.

    Google Scholar 

  8. S. Wierzchoń. Artificial Immune Systems [in polish]. Akademicka oficyna wydawnicza EXIT, 2001.

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Byrski, A., Kisiel-Dorohinicki, M. (2005). Immunological Selection Mechanism in Agent-Based Evolutionary Computation. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32392-9_43

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  • DOI: https://doi.org/10.1007/3-540-32392-9_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25056-2

  • Online ISBN: 978-3-540-32392-1

  • eBook Packages: EngineeringEngineering (R0)

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