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RIS citation export for WEPSB010: The Use of Multi-Objective Genetic Algorithms for Accelerator and Light Source Optimization

TY - CONF
AU - Fomin, Y.A.
AU - Korchuganov, V.
AU - Smygacheva, A.S.
ED - Kuzin, Maxim
ED - Schaa, Volker RW
TI - The Use of Multi-Objective Genetic Algorithms for Accelerator and Light Source Optimization
J2 - Proc. of RuPAC2016, St. Petersburg, Russia, November 21-25, 2016
C1 - St. Petersburg, Russia
T2 - Russian Particle Accelerator Conference
T3 - 25
LA - english
AB - The nonlinear effects are very important in the development of new accelerators and synchrotron light sources. Nowadays they are one of the main factors limiting the achievement of the required facility parameters. In many cases in the development of new accelerators the analytical estimations give very coarse results and in some cases they don't apply at all. Therefore, the best way to research and design accelerators is to use numerical simulation. Nevertheless, very often during complex physical process simulation (taking into account many nonlinear effects) the use of classical optimization methods is difficult and does not give the desired results. The article deals with the application of multi-objective optimization using genetic algorithms for accelerators and light sources. These algorithms allow both simple linear and complex nonlinear accelerator structures to be optimized with the same effectiveness to achieve the required facility parameters.
PB - JACoW
CP - Geneva, Switzerland
SP - 376
EP - 378
KW - emittance
KW - lattice
KW - operation
KW - dynamic-aperture
KW - quadrupole
DA - 2017/02
PY - 2017
SN - 978-3-95450-181-6
DO - 10.18429/JACoW-RuPAC2016-WEPSB010
UR - http://jacow.org/rupac2016/papers/wepsb010.pdf
ER -