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.
@article{arxiv.2211.09580,
title = {Quadrupole Magnet Design based on Genetic Multi-Objective Optimization},
author = {Eric Diehl and Moritz von Tresckow and Lou Scholtissek and Dimitrios Loukrezis and Nicolas Marsic and Wolfgang F. O. Müller and Herbert De Gersem},
journal= {arXiv preprint arXiv:2211.09580},
year = {2023}
}