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  • This work deals with optimization of the control of discrete chaotic logistic equation by means of evolutionary algorithms. The main aim of this paper is to show that powerful optimizing tools like evolutionary algorithms can be in reality used for the optimization of deterministic chaos control. This work is aimed on explanation of how to use evolutionary algorithms (EAs) and how to properly define the cost function (CF). Five new approaches for constructing the cost functions leading to satisfactory results are presented here. These CF secure fast and precise stabilization of chaotic system. Desired target states of controlled chaotic system were following unstable periodic orbits (UPO): p-1 (fixed point), p-2 and p-4 orbit. The evolutionary algorithm Self-Organizing Migrating Algorithm (SOMA) was used in four versions. At the end, the brief overview of most important results is also presented.
  • This work deals with optimization of the control of discrete chaotic logistic equation by means of evolutionary algorithms. The main aim of this paper is to show that powerful optimizing tools like evolutionary algorithms can be in reality used for the optimization of deterministic chaos control. This work is aimed on explanation of how to use evolutionary algorithms (EAs) and how to properly define the cost function (CF). Five new approaches for constructing the cost functions leading to satisfactory results are presented here. These CF secure fast and precise stabilization of chaotic system. Desired target states of controlled chaotic system were following unstable periodic orbits (UPO): p-1 (fixed point), p-2 and p-4 orbit. The evolutionary algorithm Self-Organizing Migrating Algorithm (SOMA) was used in four versions. At the end, the brief overview of most important results is also presented. (en)
Title
  • Evolutionary Techniques for Control of Discrete Chaotic Logistic Equation
  • Evolutionary Techniques for Control of Discrete Chaotic Logistic Equation (en)
skos:prefLabel
  • Evolutionary Techniques for Control of Discrete Chaotic Logistic Equation
  • Evolutionary Techniques for Control of Discrete Chaotic Logistic Equation (en)
skos:notation
  • RIV/70883521:28140/10:63508860!RIV11-GA0-28140___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/09/1680), Z(MSM7088352101)
http://linked.open...iv/cisloPeriodika
  • 2
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
  • 258057
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/10:63508860
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Chaos; Control; Optimization; Evolutionary algorithms; SOMA (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [31887CC3B106]
http://linked.open...i/riv/nazevZdroje
  • Journal of Communication and Computer
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...v/svazekPeriodika
  • 7
http://linked.open...iv/tvurceVysledku
  • Oplatková, Zuzana
  • Zelinka, Ivan
  • Šenkeřík, Roman
http://linked.open...n/vavai/riv/zamer
issn
  • 1548-7709
number of pages
http://localhost/t...ganizacniJednotka
  • 28140
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