论文标题
基于遗传多目标优化的四极磁铁设计
Quadrupole Magnet Design based on Genetic Multi-Objective Optimization
论文作者
论文摘要
这项工作建议通过适合解决多目标优化问题的遗传算法来优化四极磁铁的几何形状。为此，使用了一种称为NSGA-III的非作业分类遗传算法。选择优化目标，以确保磁铁孔的高磁场质量，同时磁铁设计保持成本效益。使用四极杆的磁静态有限元模型计算场质量，其结果是后处理并集成到优化算法中的。对优化结果进行了广泛的分析，包括帕累托的前部运动和最佳设计的识别。
This work suggests to optimize the geometry of a quadrupole magnet by means of a genetic algorithm adapted to solve multi-objective optimization problems. To that end, a non-domination sorting genetic algorithm known as NSGA-III is used. The optimization objectives are chosen such that a high magnetic field quality in the aperture of the magnet is guaranteed, while simultaneously the magnet design remains cost-efficient. The field quality is computed using a magnetostatic finite element model of the quadrupole, the results of which are post-processed and integrated into the optimization algorithm. An extensive analysis of the optimization results is performed, including Pareto front movements and identification of best designs.
