A Survey of the use of parallel computing and other efficient numerical models for computational electromagnetics is presented, showing the particular issues of the implementation of different solution approaches. The adoption of these numerical tools permits to solve many complex and industrial-relevant problems. In particular, the use of parallel Genetic Algorithms for the multi-objective optimal design of electromagnetic devices is illustrated and then applied to the design of Magnetic Resonance Imaging magnets.
Distributed Computing for Electromagnetic Optimal Design
FORMISANO, Alessandro;MARTONE, Raffaele
2003
Abstract
A Survey of the use of parallel computing and other efficient numerical models for computational electromagnetics is presented, showing the particular issues of the implementation of different solution approaches. The adoption of these numerical tools permits to solve many complex and industrial-relevant problems. In particular, the use of parallel Genetic Algorithms for the multi-objective optimal design of electromagnetic devices is illustrated and then applied to the design of Magnetic Resonance Imaging magnets.File in questo prodotto:
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