" heuristics" . "40"^^ . "40"^^ . "GA201/05/0284" . "2007-12-31+01:00"^^ . "V r\u00E1mci \u0159e\u0161en\u00ED tohoto projektu byla publikov\u00E1na \u0159ada p\u0159\u00EDsp\u011Bvk\u016F na mezin\u00E1rodn\u00EDch i \u010Desk\u00FDch konferenc\u00EDch a 6 \u010Dl\u00E1nk\u016F v periodic\u00EDch, z toho 2 v impaktovan\u00FDch \u010Dasopisech (jeden z \u010Dl\u00E1nk\u016F u\u017E vy\u0161el v roce 2007 v Comput. Stat. and Data Analysis, druh\u00FD je zasl\u00E1n d"@cs . "The problem of the global optimization is the key how to solve many practical tasks and often also a night-mare of problems' solvers because of the objective function shape. The deterministic algorithm solving such a problem generally is not known and almost surely it will never be found. Evolutionary algorithms modelling the adaptation of populations in the nature have been the tools frequently and successfully used to solve practical tasks of the global optimization. Evolutionary algorithm with competing heuristics proposed at the applicant's workplace includes into the evolutionary algorithms another property of self-adaptation. Preliminary results indicate that the contest of heuristics can bring better convergence rate and higher reliabilityin the search of the true global minimum in finite number of iterations comparing with other evolutionary algorithms. The aim of the project is to study the evolutionary algorithms with competing or cooperating heuristics from both the theoretical and"@en . . "2008-12-16+01:00"^^ . . "\u00DAloha glob\u00E1ln\u00ED optimalizace je kl\u00ED\u010Dovou pro \u0159e\u0161en\u00ED \u0159ady praktick\u00FDch probl\u00E9m\u016F. C\u00EDlov\u00E1 funkce m\u016F\u017Ee b\u00FDt multimod\u00E1ln\u00ED a tato skute\u010Dnost pak zp\u016Fsobuje \u0159e\u0161iteli \u00FAlohy \u0159adu probl\u00E9m\u016F, nebo\u0165 deterministick\u00FD algoritmus, kter\u00FD by takovou \u00FAlohu obecn\u011B \u0159e\u0161il, nebyl az\u0159ejm\u011B nikdy nebude nalezen. V posledn\u00EDch desetilet\u00EDch se k jej\u00EDmu \u0159e\u0161en\u00ED \u00FAsp\u011B\u0161n\u011B vyu\u017E\u00EDvaj\u00ED evolu\u010Dn\u00ED algoritmy, kter\u00E9 modeluj\u00ED v\u00FDvoj \u017Eiv\u00FDch populac\u00ED. Evolu\u010Dn\u00ED algoritmus se sout\u011B\u017E\u00EDc\u00EDmi heuristikami, kter\u00FD byl navr\u017Een na pracovi\u0161ti navrhovatele, vkl\u00E1d\u00E1 doevolu\u010Dn\u00EDch algoritm\u016F dal\u0161\u00ED evolu\u010Dn\u00ED vlastnost adaptace. Dosavadn\u00ED v\u00FDsledky ukazuj\u00ED, \u017Ee sout\u011B\u017E heuristik m\u016F\u017Ee p\u0159in\u00E9st rychlej\u0161\u00ED konvergenci a v\u011Bt\u0161\u00ED spolehlivost nalezen\u00ED glob\u00E1ln\u00EDho minima v kone\u010Dn\u00E9m po\u010Dtu iterac\u00ED ne\u017E jin\u00E9 evolu\u010Dn\u00ED algoritmy. C\u00EDlem projektu je dal\u0161\u00ED teoretick\u00E9 i experiment\u00E1ln\u00ED zkoum\u00E1n\u00ED vlastnost\u00ED evolu\u010Dn\u00EDch algoritm\u016F se sout\u011B\u017E\u00EDc\u00EDmi \u010Di spolupracuj\u00EDc\u00EDmi heuristikami, hled\u00E1n\u00ED vhodn\u00FDch pravidel sout\u011B\u017Ee a spolupr\u00E1ce heuristik, kter\u00E1 zaru\u010D\u00ED adaptaci algoritmu pro \u0161ir\u0161\u00ED t\u0159\u00EDdu" . "0"^^ . "A series of contribution to international and local conferences were presented and 6 papers were published in periodics, including impacted journals (one paper has appeared in Comput. Stat. and Data Analysis, 2007 and one paper is submitted to Applied So"@en . " convergence" . . . . "1"^^ . . "2007-05-02+02:00"^^ . "0"^^ . "global optimization" . "Evolutionary algorithms with competing and cooperating heuristics"@en . . . "2005-01-01+01:00"^^ . " evolutionary algorithms" . . . "Evolu\u010Dn\u00ED algoritmy se sout\u011B\u017E\u00EDc\u00EDmi a spolupracuj\u00EDc\u00EDmi heuristikami" . . "global optimization; evolutionary algorithms; heuristics; convergence; computational statistics"@en . . "http://www.isvav.cz/projectDetail.do?rowId=GA201/05/0284"^^ . . . . . . . .