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BiBTeX citation export for WEZAS0106: Methods and Experiences of Automated Tuning of Accelerators

@inproceedings{huang:eefact2022-wezas0106,
  author       = {X. Huang},
  title        = {{Methods and Experiences of Automated Tuning of Accelerators}},
% booktitle    = {Proc. eeFACT'22},
  booktitle    = {Proc. 65th ICFA Adv. Beam Dyn. Workshop High Luminosity Circular e+e- Colliders (eeFACT'22)},
  pages        = {183--187},
  eid          = {WEZAS0106},
  language     = {english},
  keywords     = {storage-ring, target, emittance, linac, controls},
  venue        = {Frascati, Italy},
  series       = {ICFA Advanced Beam Dynamics Workshop on High Luminosity Circular e+e- Colliders},
  number       = {65},
  publisher    = {JACoW Publishing, Geneva, Switzerland},
  month        = {02},
  year         = {2022},
  issn         = {2673-7027},
  isbn         = {978-3-95450-236-3},
  doi          = {10.18429/JACoW-eeFACT2022-WEZAS0106},
  url          = {https://jacow.org/eefact2022/papers/wezas0106.pdf},
  abstract     = {{Automated tuning, or beam-based optimization, is a general approach to improve accelerator performances. The approach is different from the other common approach of beam-based correction. The differences between these two approaches and the advantages of the optimization approach are discussed. Two online optimization methods, the robust conjugate direction search (RCDS) and the multi-generation Gaussian process optimizer (MG-GPO), are described. Experiences of apply the methods to storage ring nonlinear dynamics optimization at SPEAR3 and APS storage rings, as well as application to other machines, are presented.}},
}