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Evolutionäre Optimierungsverfahren und ihr Einsatz in der ökonomischen Forschung

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  • Clemens, Christiane
  • Riechmann, Thomas

Abstract

Dieser Beitrag bietet eine Einführung in eine Gruppe moderner Algorithmen, den sogenannten evolutionären Optimierungsverfahren. Anhand eines einfachen Beispiels wird die grundsätzliche Funktionsweise dieser Algorithmen skizziert. Darüberhinaus wird ein Überblick über die Anwendungsmöglichkeiten dieser Verfahren innerhalb der ökonomischen Forschung - insbesondere im Bereich der Modellierung von Lernprozessen - gegeben.

Suggested Citation

  • Clemens, Christiane & Riechmann, Thomas, 1996. "Evolutionäre Optimierungsverfahren und ihr Einsatz in der ökonomischen Forschung," Hannover Economic Papers (HEP) dp-195, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    • Handle: RePEc:han:dpaper:dp-195
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    File URL: http://diskussionspapiere.wiwi.uni-hannover.de/pdf_bib/dp-195.pdf
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    References listed on IDEAS

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    Cited by:

    1. Thomas Riechmann, 1999. "Learning and behavioral stability An economic interpretation of genetic algorithms," Journal of Evolutionary Economics, Springer, vol. 9(2), pages 225-242.

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