- author = "Hartmut Pohlheim and Peter Marenbach",
- title = "Generation of structured process models using genetic algorithms",
- booktitle = "Evolutionary Computing",
- publisher = "Springer-Verlag",
- year = "1996",
- editor = "Terence C. Fogarty",
- number = "1143",
- series = "Lecture Notes in Computer Science",
- pages = "102--109",
- address = "University of Sussex, UK",
- month = "1-2 " # apr,
- keywords = "genetic algorithms, genetic programming, modelling, SMOG, system identification, process models, structured models, structure optimisation, parameter optimization, control systems, learning control, industrial application, biotechnology, Matlab, Smulink",
- ISBN = "3-540-61749-3",
-
URL = "
http://www.rtr.tu-darmstadt.de/fileadmin/literature/rst_96_26.pdf",
-
DOI = "
doi:10.1007/BFb0032776",
- size = "8 pages",
- 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-organising way.",
-
notes = "The post-workshop proceedings of the 1996 AISB
workshop on evolutionary computing.
In this article describes further results taken form an application of our approach on to artifical example process which was designed and simulated using Matlab and Simulink. from peter home page",
