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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F13%3A86083872%21RIV14-MSM-27240___
rdf:type
skos:Concept n13:Vysledek
dcterms:description
This tutorial introduces the principles of chaos synthesis by means of selected evolutionary algorithms and propose a novel method for discrete as well as continuous chaotic systems synthesis. Method introduced in this tutorial is of the same nature like genetic programming or grammatical evolution algorithms and was applied along with three evolutionary algorithms: differential evolution, self-organizing migration and genetic algorithm. The aim of this tutorial is to demonstrate our results of syntheses artificial (no physical background behind) new and complex chaotic systems based on some simple building elements with a properly defined cost function. The investigation consists of two major case studies: the discrete chaotic system synthesis and continuous system synthesis. For all used algorithms, numerous simulations of chaos synthesis were repeated and then averaged to guarantee the reliability and robustness of the proposed method. The most significant results were carefully selected, visualized and commented in this keynote. This tutorial introduces the principles of chaos synthesis by means of selected evolutionary algorithms and propose a novel method for discrete as well as continuous chaotic systems synthesis. Method introduced in this tutorial is of the same nature like genetic programming or grammatical evolution algorithms and was applied along with three evolutionary algorithms: differential evolution, self-organizing migration and genetic algorithm. The aim of this tutorial is to demonstrate our results of syntheses artificial (no physical background behind) new and complex chaotic systems based on some simple building elements with a properly defined cost function. The investigation consists of two major case studies: the discrete chaotic system synthesis and continuous system synthesis. For all used algorithms, numerous simulations of chaos synthesis were repeated and then averaged to guarantee the reliability and robustness of the proposed method. The most significant results were carefully selected, visualized and commented in this keynote.
dcterms:title
On Evolutionary Synthesis of Chaotic Systems On Evolutionary Synthesis of Chaotic Systems
skos:prefLabel
On Evolutionary Synthesis of Chaotic Systems On Evolutionary Synthesis of Chaotic Systems
skos:notation
RIV/61989100:27240/13:86083872!RIV14-MSM-27240___
n13:predkladatel
n14:orjk%3A27240
n3:aktivita
n10:S n10:P
n3:aktivity
P(EE.2.3.20.0072), S
n3:dodaniDat
n17:2014
n3:domaciTvurceVysledku
n16:3433390
n3:druhVysledku
n15:D
n3:duvernostUdaju
n7:S
n3:entitaPredkladatele
n8:predkladatel
n3:idSjednocenehoVysledku
93702
n3:idVysledku
RIV/61989100:27240/13:86083872
n3:jazykVysledku
n21:eng
n3:klicovaSlova
Systems; Chaotic; Synthesis; Evolutionary
n3:klicoveSlovo
n4:Chaotic n4:Evolutionary n4:Systems n4:Synthesis
n3:kontrolniKodProRIV
[853683481D76]
n3:mistoKonaniAkce
Ostrava
n3:mistoVydani
Berlin
n3:nazevZdroje
Advances in Intelligent Systems and Computing
n3:obor
n22:JD
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:projekt
n19:EE.2.3.20.0072
n3:rokUplatneniVysledku
n17:2013
n3:tvurceVysledku
Zelinka, Ivan
n3:typAkce
n11:WRD
n3:zahajeniAkce
2012-09-05+02:00
s:issn
2194-5357
s:numberOfPages
7
n5:hasPublisher
Springer-Verlag
n12:isbn
978-3-642-33226-5
n9:organizacniJednotka
27240