| Title |
The Use of Multi-Objective Genetic Algorithms for Accelerator and Light Source Optimization |
| Authors |
- Y.A. Fomin, V. Korchuganov, A.S. Smygacheva
NRC, Moscow, Russia
|
| Abstract |
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.
|
| Funding |
The reported study was funded by RFBR according to the research project No. 16-32-00336 mola. |
| Paper |
download WEPSB010.PDF [0.477 MB / 3 pages] |
| Conference |
RuPAC2016, St. Petersburg, Russia |
| Series |
Russian Particle Accelerator Conference (25th) |
| Proceedings |
Link to full RuPAC2016 Proccedings |
| Session |
Poster Session B |
| Date |
23-Nov-16 16:50–18:30 |
| Main Classification |
Particle dynamics, new methods of acceleration and cooling |
| Keywords |
emittance, lattice, operation, dynamic-aperture, quadrupole |
| Publisher |
JACoW, Geneva, Switzerland |
| Editors |
Maxim Kuzin (BINP, Novosibirsk, Russia); Volker RW Schaa (GSI, Darmstadt, Germany) |
| ISBN |
978-3-95450-181-6 |
| Published |
February 2017 |
| Copyright |
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