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RIS citation export for WEPAF054: Online Multi Objective Optimisation at Diamond Light Source

TY - CONF
AU - Apollonio, M.
AU - Bartolini, R.
AU - Fielder, R.T.
AU - Henderson, G.
AU - Martin, I.P.S.
AU - Rogers, J.
ED - Koscielniak, Shane
ED - Satogata, Todd
ED - Schaa, Volker RW
ED - Thomson, Jana
TI - Online Multi Objective Optimisation at Diamond Light Source
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 - At Diamond Light Source we have developed an Optimization Package currently used online to improve the performance of the machine, usually measured in terms of lifetime, injection efficiency or beam disturbance at injection. The tool is flexible in that control variables in order to optimise objectives (or their functions) can be easily specified by means of EPICS process variables (PV), making it suitable for virtually any sort of optimization. At present three different algorithms can be used to perform optimizations in a multi-objective fashion: Multi-Objective Genetic Algorithm (MOGA), Particle Swarm Optimizer (MOPSO) and Simulated Annealing (MOSA). We present a series of tests aimed at characterizing the algorithm as well as improving the performance of the machine itself.
PB - JACoW Publishing
CP - Geneva, Switzerland
SP - 1944
EP - 1947
KW - injection
KW - sextupole
KW - controls
KW - lattice
KW - EPICS
DA - 2018/06
PY - 2018
SN - 978-3-95450-184-7
DO - 10.18429/JACoW-IPAC2018-WEPAF054
UR - http://jacow.org/ipac2018/papers/wepaf054.pdf
ER -