JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
@inproceedings{fomin:rupac2021-mopsa23,
author = {Ye. Fomin},
title = {{Machine Learning for the Storage Ring Optimization}},
% booktitle = {Proc. RuPAC'21},
booktitle = {Proc. 27th Russ. Part. Accel. Conf. (RuPAC'21)},
eventdate = {2021-09-27/2021-10-01},
pages = {169--171},
eid = {MOPSA23},
language = {english},
keywords = {synchrotron, ion-source, radiation, synchrotron-radiation, emittance},
venue = {Alushta, Crimea},
series = {Russian Particle Accelerator Conference},
number = {27},
publisher = {JACoW Publishing},
location = {Geneva, Switzerland},
date = {2021-10},
month = {10},
year = {2021},
issn = {2673-5539},
isbn = {978-3-95450-240-0},
doi = {10.18429/JACoW-RuPAC2021-MOPSA23},
url = {https://jacow.org/rupac2021/papers/mopsa23.pdf},
abstract = {{The design and optimization of new lattice for modern synchrotron radiation sources are for the most part an art and highly dependent on the researcher skills. Since both modern existing and designing storage rings is very complex nonlinear system the researchers spend a lot of effort to solve their problems. In this work the use of machine learning technics to improve the efficiency of solving nonlinear systems optimization problems is considered.}},
}