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Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.01 vteřin. 
Multi-Objective Optimization of EM Structures With Variable Number of Dimensions
 Marek, Martin ; Vrba,, Jan (oponent) ; Šenkeřík,, Roman (oponent) ; Kadlec, Petr (vedoucí práce)
This dissertation thesis deals with multi-objective evolutionary optimization algorithms with a variable number of dimensions. Such an algorithm enables us to solve optimization tasks that are otherwise solved only by assuming unnatural simplifications. The research of the optimization algorithms with a variable number of dimensions required the development of a new optimization framework. This framework contains, apart from various optimization methods including two novel multi-objective algorithms for a variable number of dimensions -- VND-GDE3 and VND-MOPSO, a library of various benchmark problems. A set of multi-objective benchmark problems with a variable number of dimensions is a part of the library designed to assess and verify the novel methods with a variable number of dimensions. Novel methods are exploited on several miscellaneous real-life optimization problems in the final chapter of this thesis.
Úplný záznam
Multi-Objective Optimization of EM Structures With Variable Number of Dimensions
 Marek, Martin ; Vrba,, Jan (oponent) ; Šenkeřík,, Roman (oponent) ; Kadlec, Petr (vedoucí práce)
This dissertation thesis deals with multi-objective evolutionary optimization algorithms with a variable number of dimensions. Such an algorithm enables us to solve optimization tasks that are otherwise solved only by assuming unnatural simplifications. The research of the optimization algorithms with a variable number of dimensions required the development of a new optimization framework. This framework contains, apart from various optimization methods including two novel multi-objective algorithms for a variable number of dimensions -- VND-GDE3 and VND-MOPSO, a library of various benchmark problems. A set of multi-objective benchmark problems with a variable number of dimensions is a part of the library designed to assess and verify the novel methods with a variable number of dimensions. Novel methods are exploited on several miscellaneous real-life optimization problems in the final chapter of this thesis.
Úplný záznam

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