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  • This work deals with an investigation on optimization of the feedback control of chaos based on using of the evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of optimization of chaos control. As models of deterministic chaotic system one dimensional Logistic equation and two dimensional Henon map were used. The optimizations were realized in several ways, each one for another set of parameters of evolution algorithms or another cost functions. The evolutionary algorithm SOMA (Self-Organizing Migrating Algorithm) was used in four versions. For each version simulations were repeated several times to show and check robustness of used method.
  • This work deals with an investigation on optimization of the feedback control of chaos based on using of the evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of optimization of chaos control. As models of deterministic chaotic system one dimensional Logistic equation and two dimensional Henon map were used. The optimizations were realized in several ways, each one for another set of parameters of evolution algorithms or another cost functions. The evolutionary algorithm SOMA (Self-Organizing Migrating Algorithm) was used in four versions. For each version simulations were repeated several times to show and check robustness of used method. (en)
  • Tento příspěvek se zabývá optimalizací řízení chaosu s využitím evolučních algoritmů. Hlavním cílem je ukázat, že evoluční algoritmy jsou schopné optimalizovat řízení chaosu Jako modely deterministického chaotického systému byly použity jednodimenzionální Logistická rovnice a dvojdimenzionální Henonova mapa.Optimalizace byly realizovány několika způsoby, jednak pro jinou účelovou funkci nebo jinou sadu optimalizovaných parametrů. Evoluční algoritmus SOMA (Samo-Organizující se Migrační Algoritmus) byl použitý ve čtyřech verzích. Pro každou verzi byly simulace opakovány několikrát, aby se ukázala a prověřila účinnost a robustnost použité metody. (cs)
Title
  • Investigation on Evolutionary Optimitazion of Chaos Control
  • Investigation on Evolutionary Optimitazion of Chaos Control (en)
  • Zkoumání evoluční optimalizace řízení chaosu (cs)
skos:prefLabel
  • Investigation on Evolutionary Optimitazion of Chaos Control
  • Investigation on Evolutionary Optimitazion of Chaos Control (en)
  • Zkoumání evoluční optimalizace řízení chaosu (cs)
skos:notation
  • RIV/70883521:28140/07:63506001!RIV08-MSM-28140___
http://linked.open.../vavai/riv/strany
  • 1420-1438
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/05/0271), P(GA102/06/1132), Z(MSM7088352101)
http://linked.open...iv/cisloPeriodika
  • 34
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
  • 427507
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/07:63506001
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Chaos; Chaos Control; Optimization; Evolutionary algorithms (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [9D2314E22203]
http://linked.open...i/riv/nazevZdroje
  • CHAOS, SOLITONS & FRACTALS
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
  • Zelinka, Ivan
  • Šenkeřík, Roman
  • Navrátil, Eduard
http://linked.open...n/vavai/riv/zamer
issn
  • 0960-0779
number of pages
http://localhost/t...ganizacniJednotka
  • 28140
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