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  • This contribution 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 and to show several methods of constructing the complex cost function leading to satisfactory results. As a model of deterministic chaotic system the two dimensional Henon map was used. The optimizations were realized in several ways, each one for another cost function or another desired periodic orbit and behavior of system. 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 and cost function.
  • This contribution 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 and to show several methods of constructing the complex cost function leading to satisfactory results. As a model of deterministic chaotic system the two dimensional Henon map was used. The optimizations were realized in several ways, each one for another cost function or another desired periodic orbit and behavior of system. 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 and cost function. (en)
  • Tento článek se zabýva optimalizací řízení chaosu pomocí evolučních algoritmů. Hlavním cílem je ukázat, že evoluční algoritmy jsou schopné optimalizovat řízení chaosu a ukázat několik metod konstrukce komplexní účelové funkce vedoucí k uspokojivým výsledkům. Jako model deterministického chaosu byl použitý systém dvoudimenzionálních Henonových map. Optimalizace byly realizovýny několika způsoby, každa pro jinou účelovou funkci nebo jiný požadovaný výstup a chování systému. SOMA byla použita ve 4 verzích. Každá simulace byla několikrát zopakována, aby se ukázala a prověřila robustnost použité metody a účelové funkce. (cs)
Title
  • DESIGN OF COST FUNCTION FOR DETERMINISTIC CHAOS CONTROL
  • Návrh účelové funkce pro řízení deterministického chaosu (cs)
  • DESIGN OF COST FUNCTION FOR DETERMINISTIC CHAOS CONTROL (en)
skos:prefLabel
  • DESIGN OF COST FUNCTION FOR DETERMINISTIC CHAOS CONTROL
  • Návrh účelové funkce pro řízení deterministického chaosu (cs)
  • DESIGN OF COST FUNCTION FOR DETERMINISTIC CHAOS CONTROL (en)
skos:notation
  • RIV/70883521:28140/06:63504326!RIV07-MSM-28140___
http://linked.open.../vavai/riv/strany
  • 73-78
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...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
  • 470938
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/06:63504326
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • chaos control; parameter estimation; evolutionary algorithms; optimization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [925CC801C35F]
http://linked.open...i/riv/mistoVydani
  • ČR
http://linked.open...i/riv/nazevZdroje
  • 12th International Conference on Soft Computing
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
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoké učení technické v Brně. Fakulta strojního inženýrství
https://schema.org/isbn
  • 80-214-3195-4
http://localhost/t...ganizacniJednotka
  • 28140
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