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RIS citation export for MOPTS073: Bunching System Optimization Based on MOGA

AU  - Zhang, S.P.
AU  - Li, J.Y.
AU  - Meng, C.
ED  - Boland, Mark
ED  - Tanaka, Hitoshi
ED  - Button, David
ED  - Dowd, Rohan
ED  - Schaa, Volker RW
ED  - Tan, Eugene
TI  - Bunching System Optimization Based on MOGA
J2  - Proc. of IPAC2019, Melbourne, Australia, 19-24 May 2019
CY  - Melbourne, Australia
T2  - International Particle Accelerator Conference
T3  - 10
LA  - english
AB  - Multiobjective Genetic Algorithms (MOGA) is effective in dealing with optimization problems with multiple objectives. The bunching system of the High Energy Photon Source (HEPS) linac adopts a traditional bunching system for compressing electron beams with a pulse charge of 4 nC. The bunching system is optimized using MOGA. The optimization include minimizing the normalized emittance and maximizing transmission efficiency. The optimization results have reached the design target, and are presented in this paper.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 1018
EP  - 1020
KW  - bunching
KW  - linac
KW  - emittance
KW  - electron
KW  - solenoid
DA  - 2019/06
PY  - 2019
SN  - 978-3-95450-208-0
DO  - DOI: 10.18429/JACoW-IPAC2019-MOPTS073
UR  - http://jacow.org/ipac2019/papers/mopts073.pdf
ER  -