Národní úložiště šedé literatury Nalezeno 9 záznamů.  Hledání trvalo 0.01 vteřin. 
Evolution and Genetic Optimization of Higher-Order Shim Coils for NMR
Chládek, Jan ; Konzbul, Pavel ; Ošmera, P.
Evolutionary and genetic scholastic optimizations were explored for designing NMR gradient and shim coils. Some hierarchical self-adaptive algorithms, based on a concept of meta-optimization, were tested. Time-demands and quality of the solutions were compared for various optimisers. A broad range of contrasting features was found for different settings of governing parameters and for different constraint handling's. Therefore a fuzzy logic in meta-decision level and an adaptative barrier function were used for optimization of multi-modal objective function. The using of meta-level optimization of different parameters was identified as the major challenge for future investigations and improvements of the optimizers.

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