This HTML5 document contains 51 embedded RDF statements represented using HTML+Microdata notation.

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

Namespace Prefixes

PrefixIRI
n22http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n20http://localhost/temp/predkladatel/
n16http://purl.org/net/nknouf/ns/bibtex#
n13http://linked.opendata.cz/resource/domain/vavai/projekt/
n9http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n17http://linked.opendata.cz/ontology/domain/vavai/
n14http://linked.opendata.cz/resource/domain/vavai/zamer/
n10https://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#
n5http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F70883521%3A28140%2F08%3A63507077%21RIV09-GA0-28140___/
n7http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n12http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n18http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n8http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n19http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n11http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n15http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F08%3A63507077%21RIV09-GA0-28140___
rdf:type
n17:Vysledek skos:Concept
dcterms:description
This work deals with optimization of the control of chaos by means of the evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of optimization of chaos control leading to satisfactory results and mainly to compare their performance in this task. As a model of deterministic chaotic system, the one dimensional Logistic equation was used. 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 function. At the end of this work the results of optimized chaos control for both evolutionary algorithms are compared in statistical overview. Tato práce se zabývá optimalizací řízení deterministického chaosu pomocí evolučních algoritmů. Hlavním cílem této práce je ukázat, že evoluční algoritmy je možno použít k optimalizaci řízení chaosu s výbornými výsledky a také je cílem porovnat výkonnost vybraných evolučních algoritmů při řešení této problematiky. Jako modely chaotických systémů byly zvoleny Logistická rovnice a Henonův systém. Optimalizace byly provedeny několika způsoby pro různé cílové periodické orbity. Evoluční algoritus SOMA (Self-Organizing Migrating Algorithm) a Diferenciální Evoluce (DE) byl zde použit v několika verzích. Pro každou verzi byly veškeré simulace několikrát zopakovány, aby tak bylo možno dokázat účelnost a robustnost zvolené metody a účelové funkce. Závěrem jsou všechny dosažené výsledky porovnány v přehledném statistickém shrnutí. This work deals with optimization of the control of chaos by means of the evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of optimization of chaos control leading to satisfactory results and mainly to compare their performance in this task. As a model of deterministic chaotic system, the one dimensional Logistic equation was used. 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 function. At the end of this work the results of optimized chaos control for both evolutionary algorithms are compared in statistical overview.
dcterms:title
Performance Comparison of Evolutionary Algorithms in the Task of Optimization of Chaos Control Srovnání Výkonnosti Evolučních Algoritmů v Problematice Optimalizace Řízení Chaosu Performance Comparison of Evolutionary Algorithms in the Task of Optimization of Chaos Control
skos:prefLabel
Performance Comparison of Evolutionary Algorithms in the Task of Optimization of Chaos Control Srovnání Výkonnosti Evolučních Algoritmů v Problematice Optimalizace Řízení Chaosu Performance Comparison of Evolutionary Algorithms in the Task of Optimization of Chaos Control
skos:notation
RIV/70883521:28140/08:63507077!RIV09-GA0-28140___
n3:aktivita
n8:Z n8:P
n3:aktivity
P(GA102/06/1132), Z(MSM7088352101)
n3:dodaniDat
n15:2009
n3:domaciTvurceVysledku
n9:9388486 n9:3433390 n9:5781264
n3:druhVysledku
n19:D
n3:duvernostUdaju
n12:S
n3:entitaPredkladatele
n5:predkladatel
n3:idSjednocenehoVysledku
386241
n3:idVysledku
RIV/70883521:28140/08:63507077
n3:jazykVysledku
n18:eng
n3:klicovaSlova
Chaos; Chaos Control; Evolutionary algorithms; Optimization; Differential Evolution; SOMA
n3:klicoveSlovo
n7:SOMA n7:Chaos%20Control n7:Chaos n7:Evolutionary%20algorithms n7:Differential%20Evolution n7:Optimization
n3:kontrolniKodProRIV
[53E58E1F676F]
n3:mistoKonaniAkce
Turin, Italy
n3:mistoVydani
Piscataway
n3:nazevZdroje
Nineteenth International Workshop on Database and Expert Systems Applications
n3:obor
n11:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n13:GA102%2F06%2F1132
n3:rokUplatneniVysledku
n15:2008
n3:tvurceVysledku
Oplatková, Zuzana Zelinka, Ivan Šenkeřík, Roman
n3:typAkce
n22:WRD
n3:zahajeniAkce
2008-09-05+02:00
n3:zamer
n14:MSM7088352101
s:numberOfPages
5
n16:hasPublisher
IEEE Operations Center
n10:isbn
978-0-7695-3299-8
n20:organizacniJednotka
28140