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  • This research deals with the optimization of the control of chaos by means of evolutionary algorithms. The main aim of this work is to show that powerful optimizing tools like evolutionary algorithms can in reality be used for the optimization of deterministic chaos control. This work is aimed on an explanation of how to use evolutionary algorithms (EAs) and how to properly define the advanced targeting cost function (CF) securing very fast and precise stabilization of desired state for any initial conditions. As a model of deterministic chaotic system, the two dimensional Henon map was used. The evolutionary algorithm Self-Organizing Migrating Algorithm (SOMA) was used in four versions. For each version, repeated simulations were conducted to outline the effectiveness and robustness of used method and targeting CF.
  • This research deals with the optimization of the control of chaos by means of evolutionary algorithms. The main aim of this work is to show that powerful optimizing tools like evolutionary algorithms can in reality be used for the optimization of deterministic chaos control. This work is aimed on an explanation of how to use evolutionary algorithms (EAs) and how to properly define the advanced targeting cost function (CF) securing very fast and precise stabilization of desired state for any initial conditions. As a model of deterministic chaotic system, the two dimensional Henon map was used. The evolutionary algorithm Self-Organizing Migrating Algorithm (SOMA) was used in four versions. For each version, repeated simulations were conducted to outline the effectiveness and robustness of used method and targeting CF. (en)
Title
  • Design of Advanced Targeting Cost Function for Evolutionary Optimization of Chaos Control
  • Design of Advanced Targeting Cost Function for Evolutionary Optimization of Chaos Control (en)
skos:prefLabel
  • Design of Advanced Targeting Cost Function for Evolutionary Optimization of Chaos Control
  • Design of Advanced Targeting Cost Function for Evolutionary Optimization of Chaos Control (en)
skos:notation
  • RIV/70883521:28140/09:63507982!RIV10-MSM-28140___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/09/1680), 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
  • 309667
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/09:63507982
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Chaos Control; deterministic chaos; estimation of parameters; optimization; evolutionary algorithms; SOMA. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [92104F29FC9D]
http://linked.open...v/mistoKonaniAkce
  • Madrid, Spain
http://linked.open...i/riv/mistoVydani
  • Madrid
http://linked.open...i/riv/nazevZdroje
  • 23rd European Conference on Modelling and Simulation
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
  • ECMS Sp.
https://schema.org/isbn
  • 978-0-9553018-8-9
http://localhost/t...ganizacniJednotka
  • 28140
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