Low emittance lattice optimization using a multi-objective evolutionary algorithm

Get Citation
GAO Wei-Wei, WANG Lin, LI Wei-Min and HE Duo-Hui. Low emittance lattice optimization using a multi-objective evolutionary algorithm[J]. Chinese Physics C, 2011, 35(9): 859-864. doi: 10.1088/1674-1137/35/9/014
GAO Wei-Wei, WANG Lin, LI Wei-Min and HE Duo-Hui. Low emittance lattice optimization using a multi-objective evolutionary algorithm[J]. Chinese Physics C, 2011, 35(9): 859-864.  doi: 10.1088/1674-1137/35/9/014 shu
Milestone
Received: 2010-12-13
Revised: 2011-01-19
Article Metric

Article Views(2118)
PDF Downloads(510)
Cited by(0)
Policy on re-use
To reuse of subscription content published by CPC, the users need to request permission from CPC, unless the content was published under an Open Access license which automatically permits that type of reuse.
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Email This Article

Title:
Email:

Low emittance lattice optimization using a multi-objective evolutionary algorithm

    Corresponding author: GAO Wei-Wei,
    Corresponding author: WANG Lin,

Abstract: A low emittance lattice design and optimization procedure are systematically studied with a non-dominated sorting-based multi-objective evolutionary algorithm which not only globally searches the low emittance lattice, but also optimizes some beam quantities such as betatron tunes, momentum compaction factor and dispersion function simultaneously. In this paper the detailed algorithm and lattice design procedure are presented. The Hefei light source upgrade project storage ring lattice, with fixed magnet layout, is designed to illustrate this optimization procedure.

    HTML

Reference (1)

目录

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return