. "RIV/61988987:17310/07:00000165!RIV07-MSM-17310___" . "3" . "11" . "\u010Cl\u00E1nek presentuje nov\u00FD p\u0159\u00EDstup k adaptivn\u00EDmu nastaven\u00ED \u0159\u00EDdic\u00EDch parametr\u016F algoritmu diferenci\u00E1ln\u00ED evoluce. Tento p\u0159\u00EDstup je zalo\u017Een na sout\u011B\u017Ei r\u016Fzn\u00FDch nastaven\u00ED. Algoritmus je v \u010Dl\u00E1nku pops\u00E1n a uvedeno experiment\u00E1ln\u00ED srovn\u00E1n\u00ED s jin\u00FDmi algortimy, jeho\u017E v\u00FDsledky ukazuj\u00ED p\u0159\u00EDnos tohoto sout\u011B\u017Eiv\u00E9ho algoritmu."@cs . . "1"^^ . "PL - Polsk\u00E1 republika" . "1"^^ . "This paper is focused on the adaptation of control parameters in differential evolution. The competition of different control parameter settings was proposed in order to ensure the self-adaptation of parameters within the search process. Several variants of such algorithm were tested on six functions at four levels of search-space dimension. This competitive differential evolution proved to be more reliable and less time-consuming than the standard differential evolution. The competitive differential evolution also outperformed other algorithms that were tested."@en . "Differential Evolution with Competitive Setting of its Control Parameters" . "[FD7E5E59C067]" . "RIV/61988987:17310/07:00000165" . . "Differential Evolution with Competitive Setting of its Control Parameters"@cs . "Differential Evolution with Competitive Setting of its Control Parameters"@cs . . . "Differential Evolution with Competitive Setting of its Control Parameters"@en . . "Differential Evolution with Competitive Setting of its Control Parameters"@en . "11"^^ . "Differential Evolution with Competitive Setting of its Control Parameters" . . . . . . "P(GA201/05/0284), Z(MSM6198898701)" . . . "417283" . "Tvrd\u00EDk, Josef" . . . . "This paper is focused on the adaptation of control parameters in differential evolution. The competition of different control parameter settings was proposed in order to ensure the self-adaptation of parameters within the search process. Several variants of such algorithm were tested on six functions at four levels of search-space dimension. This competitive differential evolution proved to be more reliable and less time-consuming than the standard differential evolution. The competitive differential evolution also outperformed other algorithms that were tested." . "TASK Quarterly - Scientific Bulletin of the Academic Computer Centre in Gdansk" . "global optimization, differential evolution, control parameters, self-adaptive algorithms"@en . "17310" . "169" . . . "1428-6394" .