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DOE OSTI · 1413914

Multi-objective dynamic aperture optimization for storage rings

Li, Yongjun·Yang, Lingyun
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Abstract

We report an efficient dynamic aperture (DA) optimization approach using multiobjective genetic algorithm (MOGA), which is driven by nonlinear driving terms computation. It was found that having small low order driving terms is a necessary but insufficient condition of having a decent DA. Then direct DA tracking simulation is implemented among the last generation candidates to select the best solutions. The approach was demonstrated successfully in optimizing NSLS-II storage ring DA.

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43 PARTICLE ACCELERATORSNSLS-IIdynamic aperturemulti-objective optimizationstorage ring

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Li, Yongjun, Yang, Lingyun. 2016-11-30. Multi-objective dynamic aperture optimization for storage rings. https://doi.org/10.1142/s0217751x1644019x

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