"2008-09-05+02:00"^^ . "P(GA102/06/1132), Z(MSM7088352101)" . "This work 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 leading to satisfactory results and mainly to compare their performance in this task. As a model of deterministic chaotic system, the one dimensional Logistic equation was used. The optimization was realized in several ways, each one for another evolutionary algorithm or another desired periodic orbit and behavior of system. The evolutionary algorithms, SOMA (Self-Organizing Migrating Algorithm) and DE (Differential Evolution) were used in several versions. For each version, simulations were repeated 50 times to show and check robustness of the used method and constructed cost function. At the end of this work the results of optimized chaos control for both evolutionary algorithms are compared in statistical overview." . . "Oplatkov\u00E1, Zuzana" . "Performance Comparison of Evolutionary Algorithms in the Task of Optimization of Chaos Control"@en . . . "Performance Comparison of Evolutionary Algorithms in the Task of Optimization of Chaos Control"@en . . . "Srovn\u00E1n\u00ED V\u00FDkonnosti Evolu\u010Dn\u00EDch Algoritm\u016F v Problematice Optimalizace \u0158\u00EDzen\u00ED Chaosu"@cs . "Chaos; Chaos Control; Evolutionary algorithms; Optimization; Differential Evolution; SOMA"@en . "978-0-7695-3299-8" . . "[53E58E1F676F]" . . . "Zelinka, Ivan" . . . . "Srovn\u00E1n\u00ED V\u00FDkonnosti Evolu\u010Dn\u00EDch Algoritm\u016F v Problematice Optimalizace \u0158\u00EDzen\u00ED Chaosu"@cs . . . "IEEE Operations Center" . . "Performance Comparison of Evolutionary Algorithms in the Task of Optimization of Chaos Control" . . . "Performance Comparison of Evolutionary Algorithms in the Task of Optimization of Chaos Control" . . "Turin, Italy" . . . "\u0160enke\u0159\u00EDk, Roman" . "Nineteenth International Workshop on Database and Expert Systems Applications" . "386241" . "3"^^ . . "RIV/70883521:28140/08:63507077" . "Piscataway" . "3"^^ . . . "RIV/70883521:28140/08:63507077!RIV09-GA0-28140___" . "28140" . "Tato pr\u00E1ce 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 s v\u00FDborn\u00FDmi v\u00FDsledky a tak\u00E9 je c\u00EDlem porovnat v\u00FDkonnost vybran\u00FDch evolu\u010Dn\u00EDch algoritm\u016F p\u0159i \u0159e\u0161en\u00ED t\u00E9to problematiky. Jako modely chaotick\u00FDch syst\u00E9m\u016F byly zvoleny Logistick\u00E1 rovnice a 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) a Diferenci\u00E1ln\u00ED Evoluce (DE) byl zde pou\u017Eit v n\u011Bkolika 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. Z\u00E1v\u011Brem jsou v\u0161echny dosa\u017Een\u00E9 v\u00FDsledky porovn\u00E1ny v p\u0159ehledn\u00E9m statistick\u00E9m shrnut\u00ED."@cs . "5"^^ . "This work 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 leading to satisfactory results and mainly to compare their performance in this task. As a model of deterministic chaotic system, the one dimensional Logistic equation was used. The optimization was realized in several ways, each one for another evolutionary algorithm or another desired periodic orbit and behavior of system. The evolutionary algorithms, SOMA (Self-Organizing Migrating Algorithm) and DE (Differential Evolution) were used in several versions. For each version, simulations were repeated 50 times to show and check robustness of the used method and constructed cost function. At the end of this work the results of optimized chaos control for both evolutionary algorithms are compared in statistical overview."@en . .