Multi-objective dynamic aperture optimization for storage rings
Journal Article
·
· International Journal of Modern Physics A
- Brookhaven National Lab. (BNL), Upton, NY (United States)
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.
- Research Organization:
- Brookhaven National Lab. (BNL), Upton, NY (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
- Grant/Contract Number:
- SC0012704
- OSTI ID:
- 1413914
- Report Number(s):
- BNL--114339-2017-JA
- Journal Information:
- International Journal of Modern Physics A, Journal Name: International Journal of Modern Physics A Journal Issue: 33 Vol. 31; ISSN 0217-751X
- Publisher:
- World ScientificCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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