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National Repository of Grey Literature 1 records found  Search took 0.00 seconds. 
Parallel optimization methods
 Marcina, Tomáš ; Kozovský, Matúš (referee) ; Kozubík, Michal (advisor)
The work is concerned on the comparison of different algorithms designed for the optimization of multidimensional functions. Specifically, it deals with population optimization methods, which are generally suitable for parallelizing the calculation of the optimal function value. The functions are implemented in program Matlab and on the NVIDIA CUDA platform. It compares several different algorithms suitable for this. At the end, the advantages and disadvantages of individual algorithms are summarized.
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