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Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F10%3A63508860%21RIV11-GA0-28140___
rdf:type
skos:Concept n17:Vysledek
dcterms:description
This work deals with optimization of the control of discrete chaotic logistic equation by means of evolutionary algorithms. The main aim of this paper is to show that powerful optimizing tools like evolutionary algorithms can be in reality used for the optimization of deterministic chaos control. This work is aimed on explanation of how to use evolutionary algorithms (EAs) and how to properly define the cost function (CF). Five new approaches for constructing the cost functions leading to satisfactory results are presented here. These CF secure fast and precise stabilization of chaotic system. Desired target states of controlled chaotic system were following unstable periodic orbits (UPO): p-1 (fixed point), p-2 and p-4 orbit. The evolutionary algorithm Self-Organizing Migrating Algorithm (SOMA) was used in four versions. At the end, the brief overview of most important results is also presented. This work deals with optimization of the control of discrete chaotic logistic equation by means of evolutionary algorithms. The main aim of this paper is to show that powerful optimizing tools like evolutionary algorithms can be in reality used for the optimization of deterministic chaos control. This work is aimed on explanation of how to use evolutionary algorithms (EAs) and how to properly define the cost function (CF). Five new approaches for constructing the cost functions leading to satisfactory results are presented here. These CF secure fast and precise stabilization of chaotic system. Desired target states of controlled chaotic system were following unstable periodic orbits (UPO): p-1 (fixed point), p-2 and p-4 orbit. The evolutionary algorithm Self-Organizing Migrating Algorithm (SOMA) was used in four versions. At the end, the brief overview of most important results is also presented.
dcterms:title
Evolutionary Techniques for Control of Discrete Chaotic Logistic Equation Evolutionary Techniques for Control of Discrete Chaotic Logistic Equation
skos:prefLabel
Evolutionary Techniques for Control of Discrete Chaotic Logistic Equation Evolutionary Techniques for Control of Discrete Chaotic Logistic Equation
skos:notation
RIV/70883521:28140/10:63508860!RIV11-GA0-28140___
n3:aktivita
n12:Z n12:P
n3:aktivity
P(GA102/09/1680), Z(MSM7088352101)
n3:cisloPeriodika
2
n3:dodaniDat
n10:2011
n3:domaciTvurceVysledku
n7:3433390 n7:9388486 n7:5781264
n3:druhVysledku
n14:J
n3:duvernostUdaju
n8:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
258057
n3:idVysledku
RIV/70883521:28140/10:63508860
n3:jazykVysledku
n19:eng
n3:klicovaSlova
Chaos; Control; Optimization; Evolutionary algorithms; SOMA
n3:klicoveSlovo
n5:Optimization n5:Evolutionary%20algorithms n5:SOMA n5:Control n5:Chaos
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[31887CC3B106]
n3:nazevZdroje
Journal of Communication and Computer
n3:obor
n9:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n13:GA102%2F09%2F1680
n3:rokUplatneniVysledku
n10:2010
n3:svazekPeriodika
7
n3:tvurceVysledku
Oplatková, Zuzana Šenkeřík, Roman Zelinka, Ivan
n3:zamer
n6:MSM7088352101
s:issn
1548-7709
s:numberOfPages
8
n11:organizacniJednotka
28140