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

1.
Shanghai Institute of Applied Physics,Chinese Academy of Sciences,Shanghai 201800,China;
2.
University of Chinese Academy of Sciences,Beijing 100049,China

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150 fs,满足束流稳定性的要求。
- 基因算法 /
- 光阴极 /
- 注入器
Abstract: 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 optimization 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.
- genetic algorithm /
- photo cathode /
- injector

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