Model Identification by Bacterial Optimization

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Botzheim:2004:ishrCI,

• title = "Model Identification by Bacterial Optimization",
• author = "J. Botzheim and L. T. Koczy",
• booktitle = "Proceedings of the 5th International Symposium of Hungarian Researchers on Computational Intelligence",
• year = "2004",
• pages = "91--102",
• address = "Budapest, Hungary",
• month = nov,
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.bmf.hu/conferences/mtn/botzheim.pdf",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.7233",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• contributor = "CiteSeerX",
• language = "en",
• oai = "oai:CiteSeerXPSU:10.1.1.135.7233",
• 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