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BiBTeX citation export for WEPHA124: CERN Accelerators Beam Optimization Algorithm

  author       = {E. Piselli and A. Akroh and K. Blaum and M. Door and D. Leimbach and S. Rothe},
  title        = {{CERN Accelerators Beam Optimization Algorithm}},
  booktitle    = {Proc. ICALEPCS'19},
  pages        = {1379--1384},
  paper        = {WEPHA124},
  language     = {english},
  keywords     = {experiment, ISOL, controls, simulation, operation},
  venue        = {New York, NY, USA},
  series       = {International Conference on Accelerator and Large Experimental Physics Control Systems},
  number       = {17},
  publisher    = {JACoW Publishing, Geneva, Switzerland},
  month        = {08},
  year         = {2020},
  issn         = {2226-0358},
  isbn         = {978-3-95450-209-7},
  doi          = {10.18429/JACoW-ICALEPCS2019-WEPHA124},
  url          = {https://jacow.org/icalepcs2019/papers/wepha124.pdf},
  note         = {https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA124},
  abstract     = {In experimental physics, computer algorithms are used to make decisions to perform measurements and different types of operations. To create a useful algorithm, the optimization parameters should be based on real time data. However, parameter optimization is a time consuming task, due to the large search space. In order to cut down the runtime of optimization we propose an algorithm inspired by the numerical method Nelder-Mead. This paper presents details of our method and selected experimental results from high-energy (CERN accelerators) to low-energy (Penning-trap systems) experiments as to demonstrate its efficiency. We also show simulations performed on standard test functions for optimization.},