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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2004: Artificial Intelligence and Soft Computing - ICAISC 2004 pp 406–413Cite as

Adaptive Evolutionary Computation – Application for Mixed Linear Programming

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3070))

Abstract

This paper deals with the two-level, partially stochastic optimization method named Two Level Adaptive Evolutionary Computation (TLAEC). New adaptation mechanism is embedded in the method. The aim of the paper is to present an algorithm based on TLAEC method, solving so-called development problem. A mathematical model of this problem assumes the form of mixed discrete-continuous programming. A concept of the algorithm is described in the paper and the proposed, new adaptation mechanism that is introduced in the algorithm is described in detail. The results of computation experiments as well as their analysis are also given.

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References

  1. Dudek-Dyduch, E.: Evolutionary method in discrete programming. Lecture Notes In Control and Information Sciences, pp. 220–225. Springer, Berlin (1984)

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Author information

Authors and Affiliations

  1. AGH University of Science and Technology, Mickiewicza Av. 30, 30-059, Cracow, Poland

    Ewa Dudek-Dyduch & Dominik Jarczyk

Authors
  1. Ewa Dudek-Dyduch
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  2. Dominik Jarczyk
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Editor information

Editors and Affiliations

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

    Leszek Rutkowski

  2. German Research Center of Artificial Intelligence (DFKI), Germany

    Jörg H. Siekmann

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

    Lotfi A. Zadeh

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© 2004 Springer-Verlag Berlin Heidelberg

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Cite this paper

Dudek-Dyduch, E., Jarczyk, D. (2004). Adaptive Evolutionary Computation – Application for Mixed Linear Programming. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_59

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  • DOI: https://doi.org/10.1007/978-3-540-24844-6_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22123-4

  • Online ISBN: 978-3-540-24844-6

  • eBook Packages: Springer Book Archive

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