Two-Stage Optimization Method for Beam Optical Systems Based on Multi-Objective Intelligent Optimization Algorithms

Li, Yilin

doi:10.1109/TNS.2025.3622636

2025-12-01

PRE

DOI：10.1109/TNS.2025.3622636

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摘要

En 中文

为实现高精度工程设计并提升光束光学系统的优化效率，本文提出了一种基于智能优化算法的两阶段优化方法。首先，该方法采用神经网络对光束线组件的传递矩阵进行标定，随后通过结合快速传递矩阵优化与精确粒子追踪优化的两阶段策略，逐步提升系统性能。该方法已通过一个代表性的光束线案例进行验证。在相空间匹配等约束条件下，优化结果显著改善了包括横向束流尺寸和发散角在内的关键性能指标。相较于仅基于粒子追踪程序的优化方法，优化时间从数天缩短至数小时，效率得到显著提升。通过平衡模拟精度与计算成本，该方法在优化复杂光束光学系统方面展现出良好的通用性和可扩展性。

Keyword:

Optimization

Optical beams

Magnetic flux

Particle tracking

Magnetic separation

Particle beams

Finite element analysis

Accuracy

Trajectory

Solenoids

Beam dynamics

intelligent optimization

particle tracking simulation

期刊

IEEE Transactions on Nuclear Science

IF:

1.9

论文数:

324

被引数:

1.4W

机构

暂无机构信息

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