Model Identification by Bacterial Optimization
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Botzheim:2004:ishrCI,
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title = "Model Identification by Bacterial Optimization",
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author = "J. Botzheim and L. T. Koczy",
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booktitle = "Proceedings of the 5th International Symposium of
Hungarian Researchers on Computational Intelligence",
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year = "2004",
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pages = "91--102",
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address = "Budapest, Hungary",
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month = nov,
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.bmf.hu/conferences/mtn/botzheim.pdf",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.7233",
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bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
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contributor = "CiteSeerX",
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language = "en",
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oai = "oai:CiteSeerXPSU:10.1.1.135.7233",
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abstract = "In the field of control systems it is common to use
techniques based on model adaptation to carry out
control for plants for which mathematical analysis may
be intricate. Increasing interest in biologically
inspired learning algorithms for control techniques
such as artificial neural networks and fuzzy systems is
in progress. In this paper a recent kind of
evolutionary method called bacterial algorithm is
introduced. This method can be used for fuzzy rule
extraction and optimization. Bacterial Programming is
also proposed in this paper. This approach is the
combination of the bacterial algorithm and the genetic
programming techniques and can be applied for the
optimization of the structure of Bspline neural
networks.",
- }
Genetic Programming entries for
Janos Botzheim
Laszlo T Koczy
Citations