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BiBTeX citation export for TUYE5: Multiobjective Optimization of the LCLS-II Photoinjector

@unpublished{neveu:napac2022-tuye5,
  author       = {N.R. Neveu and T.H. Chang and P.L. Franz and S.T.P. Hudson and J.M. Larson},
  title        = {{Multiobjective Optimization of the LCLS-II Photoinjector}},
% booktitle    = {Proc. NAPAC'22},
  booktitle    = {Proc. 5th Int. Particle Accel. Conf. (NAPAC'22)},
  language     = {english},
  intype       = {presented at the},
  series       = {International Particle Accelerator Conference},
  number       = {5},
  venue        = {Albuquerque, NM, USA},
  publisher    = {JACoW Publishing, Geneva, Switzerland},
  month        = {10},
  year         = {2022},
  note         = {presented at NAPAC'22 in Albuquerque, NM, USA, unpublished},
  abstract     = {{Genetic algorithms and particle swarm optimization are currently the most widely used optimization algorithms in the accelerator physics community. These algorithms can take many evaluations to find optimal solutions for one machine prototype. In this work, the LCLS-II photoinjector is optimized with three optimization algorithms: a genetic algorithm, a surrogate based algorithm, and a multi-start scalarization method. All three algorithms were able to optimize the photoinjector, with various trade-offs for each method discussed here.}},
}