基因算法在光阴极注入器优化设计中的应用  

Optimization design of photo-injector using genetic algorithm

作　　者：张猛[1] 廖浪[1,2] 

机构地区：[1]中国科学院上海应用物理研究所,上海201800 [2]中国科学院大学,北京100049

出　　处：《强激光与粒子束》2014年第2期289-293,共5页High Power Laser and Particle Beams

基　　金：中国科学院知识创新工程"新锐计划"项目

摘　　要：基于正在建设的大连自由电子激光装置,研究了基因算法在注入器优化设计中的系统应用。与传统的注入器优化方法相比较,基因算法在多变量、多目标注入器优化问题中具有优化效率高、优化结果精确的优势;通过采用权重因子的方法将多目标问题转化为单目标优化问题,大大简化了基因算法优化流程;光阴极注入器对束流稳定性要求严格,通过基因算法优化使束流的到达时间抖动控制到150fs,满足束流稳定性的要求。Maintaining and preserving a high density of particles in phase-space is an important requirement for the high brightness beams. In this paper, a photo-injector is optimized based on Dalian Coherent Light Source （DCLS） linac by using genetic algorithm （GA）. Compared with traditional optimization methods, the great advantage of GA is its high efficiency with greater accuracy. In the GA optimization, it is convenient to transform the multi-objective problem into a single-objective optimi- zation by using the weight factor. Because of the beam stability requirements for photo-injector, it is of interest to control the arrival time jitter within 150 fs by adopting GA optimization.

关 键 词：基因算法 光阴极 注入器 

分 类 号：TL501.5[核科学技术—核技术及应用]