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Brain Storm Optimization algorithm: variants and applications
 Řezáč, Ladislav ; Hůlka, Tomáš (referee) ; Kůdela, Jakub (advisor)
The thesis contains an introduction to topic optimization. It is devoted to the description of swarming and evolutionary algorithms and to a minor rearrangement of selected models. Finally, it moves to the better state of this survey of the moment and the history of one of the new models of the group, more precisely the Brain storm optimization algorithm. It was subsequently tested for the sensitivity of individual parameters and the accuracy of the results of the solutions found across several test functions. Finally, the best variants of BSO were compared with other algorithms according to calculation times and achieved results.
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