TY  - CONF
A1  - Appel, Sabrina
A1  - Reimann, Stephan
T1  - Beam line optimization using derivative-free algorithms
T2  - IPAC2019 = Proceedings of the 10th International Particle Accelerator Conference, [Melbourne, Australia, 2019]
N2  - The present study focuses on the beam line optimization from the heavy-ion synchrotron SIS18 to the HADES experiment. BOBYQA (Bound Optimization BY Quadratic Approximation) solves bound constrained optimization problems without using derivatives of the objective function. The Bayesian optimization is another strategy for global optimization of costly, noisy functions without using derivatives. A python programming interface to MADX allow the use of the python implementation of BOBYQA and Bayesian method. This gave the possibility to use tracking simulation with MADX to determine the loss budget for each lattice setting during the optimization and compare both optimization methods.
Y1  - 2019
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/58964
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-589647
SN  - 978-3-95450-208-0
SP  - 2307
EP  - 2310
PB  - JACoW Publishing
CY  - Geneva
ER  -