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BiBTeX citation export for TUPOST031: Online Optimization of the Transfer Line from UNILAC towards SIS18 at GSI Using a Genetic Autotune Algorithm

@inproceedings{reimann:ipac2022-tupost031,
  author       = {S. Reimann},
  title        = {{Online Optimization of the Transfer Line from UNILAC towards SIS18 at GSI Using a Genetic Autotune Algorithm}},
  booktitle    = {Proc. IPAC'22},
% booktitle    = {Proc. 13th International Particle Accelerator Conference (IPAC'22)},
  pages        = {922--924},
  eid          = {TUPOST031},
  language     = {english},
  keywords     = {simulation, experiment, injection, lattice, controls},
  venue        = {Bangkok, Thailand},
  series       = {International Particle Accelerator Conference},
  number       = {13},
  publisher    = {JACoW Publishing, Geneva, Switzerland},
  month        = {07},
  year         = {2022},
  issn         = {2673-5490},
  isbn         = {978-3-95450-227-1},
  doi          = {10.18429/JACoW-IPAC2022-TUPOST031},
  url          = {https://jacow.org/ipac2022/papers/tupost031.pdf},
  abstract     = {{Due to the complexity of GSI’s accelerator facilities and it’s upcoming expansion FAIR, various methods for optimizing accelerator settings are currently being studied to increase efficiency and to minimize the need for manual intervention. Besides a necessary improvement of the accelerator models, a better reproducibility of settings and the development of feedback systems, also heuristic methods are in the focus of the investigation. This work presents the results, recently achieved in optimizing the transfer line from UNILAC to SIS18 using the Autotune algorithm.}},
}