. "2"^^ . "Nicosia" . . "2"^^ . "This research deals with optimization of the control of chaos by means of evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of the optimization of chaos control and to show a new approach of solving this problem and constructing new cost functions operating in ?blackbox mode? without previous exact mathematical analysis of the system, thus without knowledge of stabilizing target state. As a model of deterministic chaotic system, the two dimensional Henon map was used. The optimizations was realized in several ways, each one for another desired periodic orbit. 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 cost function."@en . "Evolutionary Optimization of Chaos Control ? A New Approach"@en . "Evolu\u010Dn\u00ED optimalizace \u0159\u00EDzen\u00ED chaosu - nov\u00FD p\u0159\u00EDstup"@cs . . . "0-9553018-5-8" . "Evolutionary Optimization of Chaos Control ? A New Approach" . "Tento v\u00FDzkum se zab\u00FDv\u00E1 optimalizac\u00ED \u0159\u00EDzen\u00ED deterministick\u00E9ho chaosu pomoc\u00ED evolu\u010Dn\u00EDch algoritm\u016F. Hlavn\u00EDm c\u00EDlem t\u00E9to pr\u00E1ce je uk\u00E1zat, \u017Ee evolu\u010Dn\u00ED algoritmy je mo\u017Eno pou\u017E\u00EDt k optimalizaci \u0159\u00EDzen\u00ED chaosu a tak\u00E9 je c\u00EDlem uk\u00E1zat nov\u00FD p\u0159istup k \u0159e\u0161en\u00ED t\u00E9to problematiky a konstrukci nov\u00E9 \u00FA\u010Delov\u00E9 funkce funguj\u00EDc\u00ED v re\u017Eimu %22\u010Dern\u00E1 sk\u0159\u00ED\u0148ka%22, tj. bez jak\u00E9koliv p\u0159edchoz\u00ED matematick\u00E9 anal\u00FDzy syst\u00E9mu, tud\u00ED\u017E bez znalost\u00ED o p\u0159esn\u00E9 pozici \u017E\u00E1dan\u00E9ho stavu v chaotick\u00E9m atraktoru. Jako model chaotick\u00E9ho syst\u00E9mu byl zvolen Henon\u016Fv syst\u00E9m. Optimalizace byly provedeny n\u011Bkolika zp\u016Fsoby pro r\u016Fzn\u00E9 c\u00EDlov\u00E9 periodick\u00E9 orbity. Evolu\u010Dn\u00ED algoritus SOMA (Self-Organizing Migrating Algorithm) byl zde pou\u017Eit ve \u010Dty\u0159ech verz\u00EDch. Pro ka\u017Edou verzi byly ve\u0161ker\u00E9 simulace n\u011Bkolikr\u00E1t zopakov\u00E1ny, aby tak bylo mo\u017Eno dok\u00E1zat \u00FA\u010Delnost a robustnost zvolen\u00E9 metody a \u00FA\u010Delov\u00E9 funkce."@cs . . "RIV/70883521:28140/08:63507076" . . "28140" . . . . . . "P(GA102/06/1132), Z(MSM7088352101)" . . . "\u0160enke\u0159\u00EDk, Roman" . "This research deals with optimization of the control of chaos by means of evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of the optimization of chaos control and to show a new approach of solving this problem and constructing new cost functions operating in ?blackbox mode? without previous exact mathematical analysis of the system, thus without knowledge of stabilizing target state. As a model of deterministic chaotic system, the two dimensional Henon map was used. The optimizations was realized in several ways, each one for another desired periodic orbit. 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 cost function." . "European Council of Modelling and Simulation" . . "Zelinka, Ivan" . "Nicosia, Cyprus" . "366958" . "Proceedings of the 22nd European Conference on Modelling and Simulation ECMS 2008" . . . . . "Chaos; control; optimization; evolutionary algorithms; parameter estimation"@en . "Evolutionary Optimization of Chaos Control ? A New Approach"@en . "Evolutionary Optimization of Chaos Control ? A New Approach" . "2008-06-06+02:00"^^ . . "[6283F9F153F7]" . . "6"^^ . "Evolu\u010Dn\u00ED optimalizace \u0159\u00EDzen\u00ED chaosu - nov\u00FD p\u0159\u00EDstup"@cs . "RIV/70883521:28140/08:63507076!RIV09-GA0-28140___" . .