Optimization of magnet sorting in a storage ring using genetic algorithms

  • In this paper, the genetic algorithms are applied to the optimization problem of magnet sorting in an electron storage ring, according to which the objectives are set so that the closed orbit distortion and beta beating can be minimized and the dynamic aperture maximized. The sorting of dipole, quadrupole and sextupole magnets is optimized while the optimization results show the power of the application of genetic algorithms in magnet sorting.
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CHEN Jia, WANG Lin, LI Wei-Min and GAO Wei-Wei. Optimization of magnet sorting in a storage ring using genetic algorithms[J]. Chinese Physics C, 2013, 37(12): 127004. doi: 10.1088/1674-1137/37/12/127004
CHEN Jia, WANG Lin, LI Wei-Min and GAO Wei-Wei. Optimization of magnet sorting in a storage ring using genetic algorithms[J]. Chinese Physics C, 2013, 37(12): 127004.  doi: 10.1088/1674-1137/37/12/127004 shu
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Received: 2013-03-13
Revised: 1900-01-01
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Optimization of magnet sorting in a storage ring using genetic algorithms

    Corresponding author: WANG Lin,

Abstract: In this paper, the genetic algorithms are applied to the optimization problem of magnet sorting in an electron storage ring, according to which the objectives are set so that the closed orbit distortion and beta beating can be minimized and the dynamic aperture maximized. The sorting of dipole, quadrupole and sextupole magnets is optimized while the optimization results show the power of the application of genetic algorithms in magnet sorting.

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