Optimization of magnet sorting in a storage ring using genetic algorithms  

Optimization of magnet sorting in a storage ring using genetic algorithms

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作  者:陈佳 王琳 李为民 高巍巍 

机构地区:[1]National Synchrotron Radiation Laboratory, University of Science and Technology of China

出  处:《Chinese Physics C》2013年第12期98-104,共7页中国物理C(英文版)

基  金:Supported by National Natural Science Foundation of China(10979045,11175180,11175182)

摘  要: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.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.

关 键 词:storage ring magnet sorting closed orbit distortion beta beating dynamic aperture genetic algorithms 

分 类 号:TL594[核科学技术—核技术及应用] TP13[自动化与计算机技术—控制理论与控制工程]

 

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