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Comparing Stochastic Methods on SMES Optimization

In: Optimization and Inverse Problems in Electromagnetism

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Listed:
  • O. Hajji

    (L2EP)

  • S. Brisset

    (L2EP)

  • P. Brochet

    (L2EP)

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.

Suggested Citation

  • O. Hajji & S. Brisset & P. Brochet, 2003. "Comparing Stochastic Methods on SMES Optimization," Springer Books, in: Marek Rudnicki & Sławomir Wiak (ed.), Optimization and Inverse Problems in Electromagnetism, pages 21-32, Springer.
    • Handle: RePEc:spr:sprchp:978-94-017-2494-4_3
    DOI: 10.1007/978-94-017-2494-4_3
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