Abstract
In this paper, the optimization of a superconducting magnetic energy storage (SMES) device is performed by means of three stochastic methods: genetic algorithms, simulated annealing and tabu search which are then compared. The parameter sensitivity is studied and improvements are proposed.
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© 2003 Springer Science+Business Media Dordrecht
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Hajji, O., Brisset, S., Brochet, P. (2003). Comparing Stochastic Methods on SMES Optimization. In: Rudnicki, M., Wiak, S. (eds) Optimization and Inverse Problems in Electromagnetism. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2494-4_3
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DOI: https://doi.org/10.1007/978-94-017-2494-4_3
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-6375-5
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