Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/57519
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Type: Journal article
Title: On stability and classification tools for genetic algorithms
Author: Kotowski, S.
Kosinski, W.
Michalewicz, Z.
Synak, P.
Brocki, L.
Citation: Fundamenta Informaticae, 2009; 96(4):477-491
Publisher: IOS Press
Issue Date: 2009
ISSN: 0169-2968
1875-8681
Statement of
Responsibility: 
Stefan Kotowski, Witold Kosinski, Zbigniew Michalewicz, Piotr Synak and Łukasz Brocki
Abstract: Convergence of genetic algorithms in the form of asymptotic stability requirements is discussed. Some tools to measure convergence properties of genetic algorithms are introduced. A classification procedure is proposed that is based on the following conjecture: the entropy and the fractal dimension of trajectories of genetic algorithms produced by them are quantities that can characterize the algorithms. The role of these quantities as invariants of the algorithm classes is discussed together with the compression ratio of points of genetic algorithms.
Keywords: Genetic Algorithm; Classification; Convergence
RMID: 0020094570
DOI: 10.3233/FI-2009-189
Grant ID: http://purl.org/au-research/grants/arc/DP0985723
Appears in Collections:Computer Science publications

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