Information-Dependent Switching of Identification Criteria in a Genetic Programming System for System Identification
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{eurogp06:BuchsbaumVossner,
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author = "Thomas Buchsbaum and Siegfried V{\"o}ssner",
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title = "Information-Dependent Switching of Identification
Criteria in a Genetic Programming System for System
Identification",
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editor = "Pierre Collet and Marco Tomassini and Marc Ebner and
Steven Gustafson and Anik\'o Ek\'art",
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booktitle = "Proceedings of the 9th European Conference on Genetic
Programming",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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volume = "3905",
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year = "2006",
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address = "Budapest, Hungary",
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month = "10-12 " # apr,
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organisation = "EvoNet",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-33143-3",
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pages = "300--309",
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DOI = "doi:10.1007/11729976_27",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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abstract = "Genetic Programming (GP) can be used to identify the
nonlinear differential equations of dynamical systems.
If, however, the fitness function is chosen in a
classical way, the optimisation will not work very
well. In this article, we explain the reasons for the
failure of the GP approach and present a solution
strategy for improving performance. Using more than one
identification criterion (fitness function) and
switching based on the information content of the data
enable standard GP algorithms to find better solutions
in shorter times. A computational example illustrates
that identification criteria switching has a bigger
influence on the results than the choice of the GP
parameters has.",
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notes = "Part of \cite{collet:2006:GP} EuroGP'2006 held in
conjunction with EvoCOP2006 and EvoWorkshops2006",
- }
Genetic Programming entries for
Thomas Buchsbaum
Siegfried Vossner
Citations