"1"^^ . "\u00DAloha pl\u00E1nov\u00E1n\u00ED proces\u016F na paraleln\u00EDm multiprocesorov\u00E9m syst\u00E9mu pomoc\u00ED bayesovsk\u00FDch optimaliza\u010Dn\u00EDch algoritm\u016F" . . "[7C4D845384E1]" . "\u00DAloha pl\u00E1nov\u00E1n\u00ED proces\u016F na paraleln\u00EDm multiprocesorov\u00E9m syst\u00E9mu pomoc\u00ED bayesovsk\u00FDch optimaliza\u010Dn\u00EDch algoritm\u016F" . "Slovensk\u00E1 technick\u00E1 univerzita v Bratislave" . "Task graph scheduling on multiprocessor system using Bayesian optimization algorithm"@en . . . . . "Ka\u0161tie\u013E Moravany nad V\u00E1hom" . "This paper is aimed on the task graph scheduling problem on multiprocessor system, which belongs to the frequently solved decomposition tasks. The main goal was use these problems to experimentally compare of the recently proposed Mixed Bayesian Optimization Algorithm MBOA with new derived version KMBOA which use specific knowledge about this problem. For better comparison was also include results achieved by simple genetic algorithm. Other goal was outline basic thesis of Ph.D. thesis"@en . "Bratislava" . "2004-09-15+02:00"^^ . "RIV/00216305:26230/04:PU49268" . "Tato pr\u00E1ce je zam\u011B\u0159ena na probl\u00E9m pl\u00E1nov\u00E1n\u00ED proces\u016F na multiprocesorov\u00E9m stroji, kter\u00FD pat\u0159\u00ED mezi \u010Dasto \u0159e\u0161en\u00E9 dekompozi\u010Dn\u00ED \u00FAlohy. C\u00EDlem bylo experiment\u00E1ln\u011B porovnat d\u0159\u00EDve vyvinut\u00FD bayesovsk\u00FD optimaliza\u010Dn\u00ED algoritmus pracuj\u00EDc\u00ED se sm\u00ED\u0161en\u00FDmi geny MBOA s nov\u011B odvozen\u00FDm algoritmem KMBOA, jen\u017E vyu\u017E\u00EDv\u00E1 specifick\u00E9 znalosti o \u0159e\u0161en\u00E9m probl\u00E9mu. Pro srovn\u00E1n\u00ED obou algoritm\u016F jsou  do srovn\u00E1n\u00ED zahrnuty i v\u00FDsledky dosa\u017Een\u00E9 pomoc\u00ED jednoduch\u00E9ho genetick\u00E9ho algoritmu. Druh\u00FDm c\u00EDlem bylo nast\u00EDnit z\u00E1kladn\u00ED t\u00E9mataa p\u0159ipravovan\u00E9 diserta\u010Dn\u00ED pr\u00E1ce."@cs . "Zborn\u00EDk pr\u00EDspevkov ze seminara Po\u010D\u00EDta\u010Dov\u00E9 Architektury a Diagnostika" . . "6"^^ . . . "Evolutionary algorithm, task graph scheduling on the multiprocessor system, Bayesian optimization algorithm"@en . . "P(GA102/02/0503)" . "591286" . . . "80-969202-0-0" . . . "26230" . . "Task graph scheduling on multiprocessor system using Bayesian optimization algorithm"@en . "RIV/00216305:26230/04:PU49268!RIV06-GA0-26230___" . . "60-65" . "1"^^ . . "Jaro\u0161, Ji\u0159\u00ED" . "Tato pr\u00E1ce je zam\u011B\u0159ena na probl\u00E9m pl\u00E1nov\u00E1n\u00ED proces\u016F na multiprocesorov\u00E9m stroji, kter\u00FD pat\u0159\u00ED mezi \u010Dasto \u0159e\u0161en\u00E9 dekompozi\u010Dn\u00ED \u00FAlohy. C\u00EDlem bylo experiment\u00E1ln\u011B porovnat d\u0159\u00EDve vyvinut\u00FD bayesovsk\u00FD optimaliza\u010Dn\u00ED algoritmus pracuj\u00EDc\u00ED se sm\u00ED\u0161en\u00FDmi geny MBOA s nov\u011B odvozen\u00FDm algoritmem KMBOA, jen\u017E vyu\u017E\u00EDv\u00E1 specifick\u00E9 znalosti o \u0159e\u0161en\u00E9m probl\u00E9mu. Pro srovn\u00E1n\u00ED obou algoritm\u016F jsou  do srovn\u00E1n\u00ED zahrnuty i v\u00FDsledky dosa\u017Een\u00E9 pomoc\u00ED jednoduch\u00E9ho genetick\u00E9ho algoritmu. Druh\u00FDm c\u00EDlem bylo nast\u00EDnit z\u00E1kladn\u00ED t\u00E9mataa p\u0159ipravovan\u00E9 diserta\u010Dn\u00ED pr\u00E1ce." . "\u00DAloha pl\u00E1nov\u00E1n\u00ED proces\u016F na paraleln\u00EDm multiprocesorov\u00E9m syst\u00E9mu pomoc\u00ED bayesovsk\u00FDch optimaliza\u010Dn\u00EDch algoritm\u016F"@cs . "\u00DAloha pl\u00E1nov\u00E1n\u00ED proces\u016F na paraleln\u00EDm multiprocesorov\u00E9m syst\u00E9mu pomoc\u00ED bayesovsk\u00FDch optimaliza\u010Dn\u00EDch algoritm\u016F"@cs .