Multi-objective dynamic aperture optimization for storage rings

被引：9

作者：

Li, Yongjun ^{[1
]}

Yang, Lingyun ^{[1
]}

机构：

[1] Brookhaven Natl Lab, NSLS Dept 2, Energy Sci Directorate, Upton, NY 11973 USA

来源：

INTERNATIONAL JOURNAL OF MODERN PHYSICS A | 2016年 / 31卷 / 33期

关键词：

Multi-objective optimization; dynamic aperture; storage ring;

D O I：

10.1142/S0217751X1644019X

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：

We report an efficient dynamic aperture (DA) optimization approach using multi objective genetic algorithm (MOGA), which is driven by nonlinear driving terms computation. It was found that having small low order driving terms is a necessary but insufficient condition of having a decent DA. Then direct DA tracking simulation is implemented among the last generation candidates to select the best solutions. The approach was demonstrated successfully in optimizing NSLS-II storage ring DA.

引用

页数：8

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