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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© 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
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