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  • 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. (cs)
  • 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.
  • 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. (en)
Title
  • Performance Comparison of Evolutionary Algorithms in the Task of Optimization of Chaos Control
  • Performance Comparison of Evolutionary Algorithms in the Task of Optimization of Chaos Control (en)
  • Srovnání Výkonnosti Evolučních Algoritmů v Problematice Optimalizace Řízení Chaosu (cs)
skos:prefLabel
  • Performance Comparison of Evolutionary Algorithms in the Task of Optimization of Chaos Control
  • Performance Comparison of Evolutionary Algorithms in the Task of Optimization of Chaos Control (en)
  • Srovnání Výkonnosti Evolučních Algoritmů v Problematice Optimalizace Řízení Chaosu (cs)
skos:notation
  • RIV/70883521:28140/08:63507077!RIV09-GA0-28140___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/06/1132), Z(MSM7088352101)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 386241
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/08:63507077
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Chaos; Chaos Control; Evolutionary algorithms; Optimization; Differential Evolution; SOMA (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [53E58E1F676F]
http://linked.open...v/mistoKonaniAkce
  • Turin, Italy
http://linked.open...i/riv/mistoVydani
  • Piscataway
http://linked.open...i/riv/nazevZdroje
  • Nineteenth International Workshop on Database and Expert Systems Applications
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Oplatková, Zuzana
  • Zelinka, Ivan
  • Šenkeřík, Roman
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE Operations Center
https://schema.org/isbn
  • 978-0-7695-3299-8
http://localhost/t...ganizacniJednotka
  • 28140
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