Quadrupole Magnet Design based on Genetic Multi-Objective Optimization

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 magnet...

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Veröffentlicht in:	arXiv.org 2023-11
Hauptverfasser:	Diehl, Eric, Moritz von Tresckow, Scholtissek, Lou, Loukrezis, Dimitrios, Marsic, Nicolas, Müller, Wolfgang F O, De Gersem, Herbert
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Neural and Evolutionary Computing Design optimization Finite element method Genetic algorithms Multiple objective analysis Pareto optimization Physics - Accelerator Physics Quadrupoles Sorting algorithms
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