"Germany" . "3"^^ . "Tato pr\u00E1ce se zab\u00FDv\u00E1 pr\u016Fzkumem optimalizace zp\u011Btnovazebn\u00EDho \u0159\u00EDzen\u00ED chaosu zalo\u017Een\u00E9ho na pou\u017Eit\u00ED evolu\u010Dn\u00EDch algoritm\u016F. Hlavn\u00EDm c\u00EDlem je uk\u00E1zat, \u017Ee evolu\u010Dn\u00ED algoritmy jsou schopn\u00E9 optimalizovat \u0159\u00EDzen\u00ED chaosu. Jako model deterministick\u00E9ho syst\u00E9mu byla pou\u017Eita Henonova mapa. Optimalizace byly realizov\u00E1ny n\u011Bkolika zp\u016Fsoby, ka\u017Edy z nich pro jinou sadu parametr\u016F evolu\u010Dn\u00EDch algoritm\u016F nebo jinou \u00FA\u010Delovou funkci. SOMA byla pou\u017Eita ve 4 verz\u00EDch. Ka\u017Ed\u00E1 simulace byla n\u011Bkolikr\u00E1t zopakov\u00E1na, aby se uk\u00E1zala a prov\u011B\u0159ila robustnost pou\u017Eit\u00E9 metody \u010Di \u00FA\u010Delov\u00E9 funkce."@cs . . "[71BC90763BC5]" . "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 a model of deterministic chaotic system the Henon map was 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." . . . . "INVESTIGATION ON EVOLUTIONARY EDTAS CHAOS CONTROL"@en . "INVESTIGATION ON EVOLUTIONARY EDTAS CHAOS CONTROL" . . "INVESTIGATION ON EVOLUTIONARY EDTAS CHAOS CONTROL"@en . "20th European Conference on Modelling and Simulation" . . . "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 a model of deterministic chaotic system the Henon map was 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 . . "480375" . . "507-512" . . "P(GA102/05/0271), P(GA102/06/1132), Z(MSM7088352101)" . "6"^^ . "28140" . "Navr\u00E1til, Eduard" . "0-9553018-0-7" . . "European Council for Modelling and Simulation" . "Evolu\u010Dn\u00ED \u0159\u00EDzen\u00ED deterministick\u00E9ho chaosu"@cs . . . "Zelinka, Ivan" . "RIV/70883521:28140/06:63504327!RIV07-MSM-28140___" . "Evolu\u010Dn\u00ED \u0159\u00EDzen\u00ED deterministick\u00E9ho chaosu"@cs . "INVESTIGATION ON EVOLUTIONARY EDTAS CHAOS CONTROL" . . . . "RIV/70883521:28140/06:63504327" . "Chaos; control; optimization; evolutionary algorithms; parameter estimation"@en . . . . . "3"^^ . "\u0160enke\u0159\u00EDk, Roman" . . .