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Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F10%3A63508864%21RIV11-GA0-28140___
rdf:type
n10:Vysledek skos:Concept
dcterms:description
This paper focuses on the application of chaos driven Differential Evolution to the chaos control optimization problem. The focus of this paper is the embedding of chaotic systems in the form of the chaos number generator for Differential Evolution. The aim of this paper is also to show extreme sensitivity of quality of results on the selection of evolutionary algorithm, setting-up of evolutionary algorithm, construction of cost function and any small change in its design. As a model of deterministic chaotic system, the two dimensional Henon map was used. Two complex targeting cost functions were tested in this work. The optimization was realized in several ways, each one for another desired behavior of system. Repeated simulations demonstrated the robustness of the used method and constructed cost function. Finally, the obtained results are compared with evolutionary algorithms, Self-Organizing Migrating Algorithm (SOMA) and canonical Differential Evolution. This paper focuses on the application of chaos driven Differential Evolution to the chaos control optimization problem. The focus of this paper is the embedding of chaotic systems in the form of the chaos number generator for Differential Evolution. The aim of this paper is also to show extreme sensitivity of quality of results on the selection of evolutionary algorithm, setting-up of evolutionary algorithm, construction of cost function and any small change in its design. As a model of deterministic chaotic system, the two dimensional Henon map was used. Two complex targeting cost functions were tested in this work. The optimization was realized in several ways, each one for another desired behavior of system. Repeated simulations demonstrated the robustness of the used method and constructed cost function. Finally, the obtained results are compared with evolutionary algorithms, Self-Organizing Migrating Algorithm (SOMA) and canonical Differential Evolution.
dcterms:title
Chaos Driven Differential Evolution in the Task of Chaos Control Optimization Chaos Driven Differential Evolution in the Task of Chaos Control Optimization
skos:prefLabel
Chaos Driven Differential Evolution in the Task of Chaos Control Optimization Chaos Driven Differential Evolution in the Task of Chaos Control Optimization
skos:notation
RIV/70883521:28140/10:63508864!RIV11-GA0-28140___
n3:aktivita
n7:Z n7:P
n3:aktivity
P(GA102/09/1680), Z(MSM7088352101)
n3:dodaniDat
n19:2011
n3:domaciTvurceVysledku
n4:5781264 Davendra, Donald n4:3433390 n4:9388486
n3:druhVysledku
n15:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
250352
n3:idVysledku
RIV/70883521:28140/10:63508864
n3:jazykVysledku
n11:eng
n3:klicovaSlova
Chaos; Control; Optimization; Evolutionary algorithms; Differential evolution
n3:klicoveSlovo
n8:Differential%20evolution n8:Chaos n8:Control n8:Optimization n8:Evolutionary%20algorithms
n3:kontrolniKodProRIV
[09838F05106C]
n3:mistoKonaniAkce
Barcelona, Spain
n3:nazevZdroje
2010 IEEE World congress on Computational Intelligence
n3:obor
n17:IN
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:projekt
n5:GA102%2F09%2F1680
n3:rokUplatneniVysledku
n19:2010
n3:tvurceVysledku
Davendra, Donald Zelinka, Ivan Oplatková, Zuzana Šenkeřík, Roman
n3:typAkce
n22:WRD
n3:zahajeniAkce
2010-01-01+01:00
n3:zamer
n16:MSM7088352101
s:numberOfPages
8
n18:hasPublisher
IEEE Control Systems Society
n12:isbn
978-1-4244-6910-9
n21:organizacniJednotka
28140