Low emittance lattice optimization using a multi-objective evolutionary algorithm  

作　　者：高巍巍 王琳 李为民 何多慧 

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

出　　处：《Chinese Physics C》2011年第9期859-864,共6页中国物理C（英文版）

基　　金：Supported by National Natural Science Foundation of China (10875127,10979045)

摘　　要：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.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.

关 键 词：EMITTANCE multi-objective evolutionary algorithm LATTICE 

分 类 号：O572.211[理学—粒子物理与原子核物理]