This HTML5 document contains 49 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n4http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
n10http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F70883521%3A28140%2F09%3A63507979%21RIV10-MSM-28140___/
dctermshttp://purl.org/dc/terms/
n22http://purl.org/net/nknouf/ns/bibtex#
n21http://localhost/temp/predkladatel/
n19http://linked.opendata.cz/resource/domain/vavai/projekt/
n18http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n5http://linked.opendata.cz/ontology/domain/vavai/
n13http://linked.opendata.cz/resource/domain/vavai/zamer/
n7https://schema.org/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n6http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n20http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n15http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n12http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n17http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n11http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n9http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F09%3A63507979%21RIV10-MSM-28140___
rdf:type
n5:Vysledek skos:Concept
dcterms:description
This work deals with the comparison of performance of two selected evolutionary algorithms (EA) in the task of optimization of the control of chaos. The main aim of this work is to show that evolutionary algorithms are capable of optimization of chaos control leading to satisfactory results and to show extreme sensitivity of quality of results on the selection of EA, setting-up of EA, construction of cost function (CF) and any small change in the CF 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 evolutionary algorithm or another desired periodic orbit and behavior of system. The evolutionary algorithms, SOMA (Self-Organizing Migrating Algorithm) and DE (Differential Evolution) were used in several versions. For each version, simulations were repeated 50 times to show and check robustness of the used method and constructed cost f This work deals with the comparison of performance of two selected evolutionary algorithms (EA) in the task of optimization of the control of chaos. The main aim of this work is to show that evolutionary algorithms are capable of optimization of chaos control leading to satisfactory results and to show extreme sensitivity of quality of results on the selection of EA, setting-up of EA, construction of cost function (CF) and any small change in the CF 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 evolutionary algorithm or another desired periodic orbit and behavior of system. The evolutionary algorithms, SOMA (Self-Organizing Migrating Algorithm) and DE (Differential Evolution) were used in several versions. For each version, simulations were repeated 50 times to show and check robustness of the used method and constructed cost f
dcterms:title
Comparison of Evolutionary Algorithms in the Task of Chaos Control Optimization ? Extended study: Complex Targeting CF Comparison of Evolutionary Algorithms in the Task of Chaos Control Optimization ? Extended study: Complex Targeting CF
skos:prefLabel
Comparison of Evolutionary Algorithms in the Task of Chaos Control Optimization ? Extended study: Complex Targeting CF Comparison of Evolutionary Algorithms in the Task of Chaos Control Optimization ? Extended study: Complex Targeting CF
skos:notation
RIV/70883521:28140/09:63507979!RIV10-MSM-28140___
n3:aktivita
n15:P n15:Z
n3:aktivity
P(GA102/06/1132), Z(MSM7088352101)
n3:dodaniDat
n9:2010
n3:domaciTvurceVysledku
n18:5781264 n18:9388486 n18:3433390
n3:druhVysledku
n11:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
307709
n3:idVysledku
RIV/70883521:28140/09:63507979
n3:jazykVysledku
n12:eng
n3:klicovaSlova
Chaos Control; deterministic chaos; estimation of parameters; optimization; evolutionary algorithms; SOMA; DE.
n3:klicoveSlovo
n6:SOMA n6:optimization n6:Chaos%20Control n6:deterministic%20chaos n6:DE. n6:evolutionary%20algorithms n6:estimation%20of%20parameters
n3:kontrolniKodProRIV
[40A4FF3FC3C8]
n3:mistoKonaniAkce
Trondheim, Norway
n3:mistoVydani
Reseach Publishing Service - Chennai
n3:nazevZdroje
2009 IEEE Congress on Evolutionary Computation
n3:obor
n17:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n19:GA102%2F06%2F1132
n3:rokUplatneniVysledku
n9:2009
n3:tvurceVysledku
Šenkeřík, Roman Zelinka, Ivan Oplatková, Zuzana
n3:typAkce
n4:WRD
n3:zahajeniAkce
2009-05-21+02:00
n3:zamer
n13:MSM7088352101
s:numberOfPages
8
n22:hasPublisher
IEEE Control Systems Society
n7:isbn
978-1-4244-2959-2
n21:organizacniJednotka
28140