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Implementacja algorytmów ewolucyjnych w gospodarce opartej na wiedzy
[Implementation of Evolutionary Algorithms in the Knowledge-Based Economy]

Author

Listed:
  • Sieja, Marek
  • Wach, Krzysztof

Abstract

The article presents a typology of the principle of action and evolutionary algorithms as a technique widely used for searching and optimization based on the principles inherited from the Darwinian theory of evolution and natural genetics. Evolutionary algorithms are a technique that is currently experiencing rapid development, are being successfully applied in many fields of science (in the technical sciences, natural sciences, or economics). The authors discuss examples of applications of genetic algorithms in the management of sales in the division, organization, production and finance.

Suggested Citation

  • Sieja, Marek & Wach, Krzysztof, 2008. "Implementacja algorytmów ewolucyjnych w gospodarce opartej na wiedzy [Implementation of Evolutionary Algorithms in the Knowledge-Based Economy]," MPRA Paper 31620, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:31620
    as

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    File URL: https://mpra.ub.uni-muenchen.de/31620/1/MPRA_paper_31620.pdf
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    References listed on IDEAS

    as
    1. Jones, D. F. & Mirrazavi, S. K. & Tamiz, M., 2002. "Multi-objective meta-heuristics: An overview of the current state-of-the-art," European Journal of Operational Research, Elsevier, vol. 137(1), pages 1-9, February.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Evolutionary algorithms; knowledge-based economy;

    JEL classification:

    • A10 - General Economics and Teaching - - General Economics - - - General

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