Optimizing the lattice design of a diffraction-limited storage ring with a rational combination of particle swarm and genetic algorithms

被引:23
作者
Jiao, Yi [1 ]
Xu, Gang [1 ]
机构
[1] Chinese Acad Sci, Inst High Energy Phys, Key Lab Particle Accelerat Phys & Technol, Beijing 100049, Peoples R China
关键词
diffraction-limited storage ring; High Energy Photon Source; multi-objective particle swarm optimization; multi-objective genetic algorithm; lattice design; OPTIMIZATION;
D O I
10.1088/1674-1137/41/2/027001
中图分类号
O57 [原子核物理学、高能物理学];
学科分类号
070202 ;
摘要
In the lattice design of a diffraction-limited storage ring (DLSR) consisting of compact multi-bend achromats (MBAs), it is challenging to simultaneously achieve an ultralow emittance and a satisfactory nonlinear performance, due to extremely large nonlinearities and limited tuning ranges of the element parameters. Nevertheless, in this paper we show that the potential of a DLSR design can be explored with a successive and iterative implementation of the multi-objective particle swarm optimization (MOPSO) and multi-objective genetic algorithm (MOGA). For the High Energy Photon Source, a planned kilometer-scale DLSR, optimizations indicate that it is feasible to attain a natural emittance of about 50 pm.rad, and simultaneously realize a sufficient ring acceptance for on-axis longitudinal injection, by using a hybrid MBA lattice. In particular, this study demonstrates that a rational combination of the MOPSO and MOGA is more effective than either of them alone, in approaching the true global optima of an explorative multi-objective problem with many optimizing variables and local optima.
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收藏
页数:11
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