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AISB Workshop on Evolutionary Computing

AISB EC 1996: Evolutionary Computing pp 102–109Cite as

Generation of structured process models using Genetic Programming

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1143))

Abstract

The design of structured mathematical models of processes in a certain level of abstraction defined by the given task appears to be difficult and time consuming even for experienced experts.

This paper reports on a new method for the design of structured process models based on the metaphor of Genetic Programming. This new methodology allows the automatic generation of non-linear process models in a self-organizing way.

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References

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Author information

Authors and Affiliations

  1. Systems Technology Research, Daimler Benz AG, Alt-Moabit 96a, D-10559, Berlin

    Hartmut Pohlheim

  2. Institute of Control Engineering Department of Systems Theory & Robotics, Darmstadt University of Technology, Landgraf-Georg-Straße 4, D-64283, Darmstadt

    Peter Marenbach

Authors
  1. Hartmut Pohlheim
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  2. Peter Marenbach
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Editor information

Terence C. Fogarty

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© 1996 Springer-Verlag Berlin Heidelberg

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Pohlheim, H., Marenbach, P. (1996). Generation of structured process models using Genetic Programming. In: Fogarty, T.C. (eds) Evolutionary Computing. AISB EC 1996. Lecture Notes in Computer Science, vol 1143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032776

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  • DOI: https://doi.org/10.1007/BFb0032776

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61749-5

  • Online ISBN: 978-3-540-70671-7

  • eBook Packages: Springer Book Archive

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