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RIS citation export for THPML028: Genetic Algorithms for Machine Optimization in the Fair Control System Environment

TY - CONF
AU - Geithner, W.
AU - Andelkovic, Z.
AU - Appel, S.
AU - Geithner, O.
AU - Herfurth, F.
AU - Reimann, S.
AU - Vorobjev, G.
AU - Wilhelmstötter, F.
ED - Koscielniak, Shane
ED - Satogata, Todd
ED - Schaa, Volker RW
ED - Thomson, Jana
TI - Genetic Algorithms for Machine Optimization in the Fair Control System Environment
J2 - Proc. of IPAC2018, Vancouver, BC, Canada, April 29-May 4, 2018
C1 - Vancouver, BC, Canada
T2 - International Particle Accelerator Conference
T3 - 9
LA - english
AB - Due to the massive parallel operation modes at the GSI accelerators, a lot of accelerator setup and re-adjustment have to be made by the operators during a beam time. With the FAIR project the complexity of the accelerator facility increases furthermore and for efficiency reasons it is recommended to establish a high level of automation for future operation. The PEP (parameter evolution project) has been launched at GSI operations group in 2017 to investigate the potential of a settings optimization using evolutionary Algorithms. The working proof of principle has already been tested at the Cryring injector. The latest improvements and the further Development of the Parameter Evolution Project will be shown.
PB - JACoW Publishing
CP - Geneva, Switzerland
SP - 4712
EP - 4715
KW - controls
KW - software
KW - ion-source
KW - framework
KW - dipole
DA - 2018/06
PY - 2018
SN - 978-3-95450-184-7
DO - 10.18429/JACoW-IPAC2018-THPML028
UR - http://jacow.org/ipac2018/papers/thpml028.pdf
ER -