Abstract
Stochastic methods offer a certain robustness quality to the optimization process. In this paper, the Adaptive Simulated Annealing (ASA) and two Genetic Algorithms (GA) are used for the shape optimization of a shimming magnet pole. The magnetic field is computed using the finite element method in 2D. The aim of optimization is the search for a pole shape geometry which leads to a homogeneous magnetic field in the region of interest.
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Brauer, H., Ziolkowski, M. (2005). Shape Optimization with Adaptive Simulated Annealing and Genetic Algorithms. In: Wiak, S., Krawczyk, A., Trlep, M. (eds) Computer Engineering in Applied Electromagnetism. Springer, Dordrecht. https://doi.org/10.1007/1-4020-3169-6_4
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DOI: https://doi.org/10.1007/1-4020-3169-6_4
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-3168-7
Online ISBN: 978-1-4020-3169-4
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