Genetic algorithms with niching for conceptual design studies

被引:3
作者
Ramberger, S [1 ]
Russenschuck, S [1 ]
机构
[1] CERN, Geneva, Switzerland
关键词
design automation; genetic algorithms; magnetic fields; superconducting accelerator magnets; optimization methods;
D O I
10.1109/20.717687
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The paper describes the use of genetic algorithms with the concept of niching for the conceptual design of superconducting magnets for the Large Hadron Collider, LHC at CERN. The method provides the designer with a number of possible solutions which can then be further optimized for field quality and manufacturability. Two B-block dipole coils were found and proved to have advantages compared to the standard 8-block version.
引用
收藏
页码:2944 / 2947
页数:4
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