Fractal Dimension of Trajectory as Invariant of Genetic Algorithms

dc.contributor.authorKotowski, S.
dc.contributor.authorKosinski, W.
dc.contributor.authorMichalewicz, Z.
dc.contributor.authorNowicki, J.
dc.contributor.authorPrzepiorkiewicz, B.
dc.contributor.conferenceICAISC (9th : 2008 : Zakopane, Poland)
dc.contributor.editorRutkowski, L.
dc.contributor.editorTadeusiewicz, R.
dc.contributor.editorZadeh, L.A.
dc.contributor.editorZurada, J.M.
dc.date.issued2008
dc.description.abstractConvergence 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.
dc.description.statementofresponsibilityStefan Kotowski, Witold Kosiński, Zbigniew Michalewicz, Jakub Nowicki, and Bartosz Przepiórkiewicz
dc.description.urihttp://kik.pcz.pl/icaisc/icaisc2008/index.html
dc.identifier.citationArtificial intelligence and soft computing - ICAISC 2008 : 9th international conference, Zakopane, Poland, June 22-26, 2008 : proceedings / L. Rutkowski ... [et al.] (eds.): pp.414-425
dc.identifier.doi10.1007/978-3-540-69731-2_41
dc.identifier.isbn9783540695721
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/2440/54704
dc.language.isoen
dc.publisherSpringer
dc.publisher.placeGermany
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.source.urihttps://doi.org/10.1007/978-3-540-69731-2_41
dc.subjectgenetic algorithm
dc.subjectentropy
dc.subjectfractal dimension
dc.subjectbox-counting dimension
dc.subjectdynamical system
dc.titleFractal Dimension of Trajectory as Invariant of Genetic Algorithms
dc.typeConference paper
pubs.publication-statusPublished

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