"Vysok\u00E9 u\u010Den\u00ED technick\u00E9 v Brn\u011B. Fakulta strojn\u00EDho in\u017Een\u00FDrstv\u00ED" . . "3"^^ . "Tento \u010Dl\u00E1nek se zab\u00FDva optimalizac\u00ED \u0159\u00EDzen\u00ED chaosu pomoc\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 a uk\u00E1zat n\u011Bkolik metod konstrukce komplexn\u00ED \u00FA\u010Delov\u00E9 funkce vedouc\u00ED k uspokojiv\u00FDm v\u00FDsledk\u016Fm. Jako model deterministick\u00E9ho chaosu byl pou\u017Eit\u00FD syst\u00E9m dvoudimenzion\u00E1ln\u00EDch Henonov\u00FDch map. Optimalizace byly realizov\u00FDny n\u011Bkolika zp\u016Fsoby, ka\u017Eda pro jinou \u00FA\u010Delovou funkci nebo jin\u00FD po\u017Eadovan\u00FD v\u00FDstup a chov\u00E1n\u00ED syst\u00E9mu. 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 a \u00FA\u010Delov\u00E9 funkce."@cs . "73-78" . "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 . . . . "12th International Conference on Soft Computing" . "6"^^ . "DESIGN OF COST FUNCTION FOR DETERMINISTIC CHAOS CONTROL" . . . . "80-214-3195-4" . . "Zelinka, Ivan" . "RIV/70883521:28140/06:63504326" . "\u010CR" . . . . "Navr\u00E1til, Eduard" . "RIV/70883521:28140/06:63504326!RIV07-MSM-28140___" . . "P(GA102/05/0271), P(GA102/06/1132), Z(MSM7088352101)" . . . "28140" . "470938" . . "DESIGN OF COST FUNCTION FOR DETERMINISTIC CHAOS CONTROL"@en . . . "[925CC801C35F]" . . "DESIGN OF COST FUNCTION FOR DETERMINISTIC CHAOS CONTROL"@en . "chaos control; parameter estimation; evolutionary algorithms; optimization"@en . . "DESIGN OF COST FUNCTION FOR DETERMINISTIC CHAOS CONTROL" . "N\u00E1vrh \u00FA\u010Delov\u00E9 funkce pro \u0159\u00EDzen\u00ED deterministick\u00E9ho chaosu"@cs . "\u0160enke\u0159\u00EDk, Roman" . "N\u00E1vrh \u00FA\u010Delov\u00E9 funkce pro \u0159\u00EDzen\u00ED deterministick\u00E9ho chaosu"@cs . . "3"^^ . "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." . .