现代智能优化算法粒子群算法(Particle Swarm Optimization)在加速器设计优化上的应用逐渐增多。交变相位聚焦直线加速器(Alternative Phase Focused Drift Tube Linac)具有节省空间和造价的优点。将交变相位聚焦直线加速器的初步设计方案作为种子，植入粒子群算法中；以加速器的加速效率和束流能量作为目标，得到该方案的Pareto最优解集；在粒子进化过程中，以Pareto最优解集作为粒子的运动方向，以随机选取的Pareto最优解的运行结果作为粒子的输入参数来源，最终得到了输出能量为5.35 MeV/u、加速效率大于83%的APF优化方案。
The Particle Swarm Optimization(PSO), one of the modern intelligent optimization algorithms, is increasingly employed in the design and optimization of accelerators. Alternative Phase Focused Drift Tube Linac(APF DTL) has an advantage in cost-effecient fabrication and reduced construction space. The preliminary design of APF DTL is involved in the optimization as the anchor; by taking the acceleration e?ciency and the beam energy as two fitness functions, the Pareto optimal set is obtained;the evolutionary direction is determined by the Pareto optimal set and the particles’ parameters in the optimization are derived from the simulations of the randomly selected Pareto optimal solutions. A final optimized design with extracted energy of 5.35 MeV/u and acceleration e?ciency greater than 83%is acquired.
参考文献
- 下载量()
- 访问量()
- 您的评分：
-
10%
-
20%
-
30%
-
40%
-
50%