Original title:
Evolution and Genetic Optimization of Higher-Order Shim Coils for NMR
Authors:
Chládek, Jan ; Konzbul, Pavel ; Ošmera, P. Document type: Papers Conference/Event: Mendel 2000 /6./ - Soft Computing, Brno (CZ), 2000-06-07 / 2000-06-09
Year:
2000
Language:
eng Abstract:
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. Project no.: CEZ:AV0Z2065902 (CEP), ME 181, GA102/95/0467 (CEP) Funding provider: GA MŠk, GA ČR Host item entry: Mendel 2000 - 6th International Conference on Soft Computing, ISBN 80-214-1609-2 Note: Související webová stránka: mailto:chladek@isibrno.cz
Institution: Institute of Scientific Instruments AS ČR
(web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences. Original record: http://hdl.handle.net/11104/0100952