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https://hdl.handle.net/2440/54704
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Type: | Conference paper |
Title: | Fractal Dimension of Trajectory as Invariant of Genetic Algorithms |
Author: | Kotowski, S. Kosinski, W. Michalewicz, Z. Nowicki, J. Przepiorkiewicz, B. |
Citation: | Artificial intelligence and soft computing - ICAISC 2008 : 9th international conference, Zakopane, Poland, June 22-26, 2008 : proceedings / L. Rutkowski ... [et al.] (eds.): pp.414-425 |
Publisher: | Springer |
Publisher Place: | Germany |
Issue Date: | 2008 |
Series/Report no.: | Lecture Notes in Computer Science |
ISBN: | 3540695729 9783540695721 |
ISSN: | 0302-9743 1611-3349 |
Conference Name: | ICAISC (9th : 2008 : Zakopane, Poland) |
Editor: | Rutkowski, L. Tadeusiewicz, R. Zadeh, L.A. Zurada, J.M. |
Statement of Responsibility: | Stefan Kotowski, Witold Kosiński, Zbigniew Michalewicz, Jakub Nowicki, and Bartosz Przepiórkiewicz |
Abstract: | Convergence properties of genetic algorithms are investigated. For them some measures are introduced. A classification procedure is proposed for genetic algorithms based on a conjecture: the entropy and the fractal dimension of trajectories produced by them are quantities that characterize the classes of the algorithms. The role of these quantities as invariants of the algorithm classes is presented. The present approach can form a new method in construction and adaptation of genetic algorithms and their optimization based on dynamical systems theory. © 2008 Springer-Verlag Berlin Heidelberg. |
Keywords: | genetic algorithm entropy fractal dimension box-counting dimension dynamical system |
DOI: | 10.1007/978-3-540-69731-2_41 |
Description (link): | http://kik.pcz.pl/icaisc/icaisc2008/index.html |
Published version: | http://dx.doi.org/10.1007/978-3-540-69731-2_41 |
Appears in Collections: | Aurora harvest 5 Computer Science publications |
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