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Author: S. Reimann


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Reference
S. Appel and S. Reimann, “Beam Line Optimization Using Derivative-Free Algorithms”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 2307-2310.
S. Appel et al., “Automatized Optimization of Beam Lines Using Evolutionary Algorithms”, in Proc. 16th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'17), Barcelona, Spain, Oct. 2017, pp. 1906-1910.
S. Appel et al., “Automatized Optimization of Beam Lines Using Evolutionary Algorithms”, in Proc. 8th Int. Particle Accelerator Conf. (IPAC'17), Copenhagen, Denmark, May 2017, pp. 3941-3944.
S. Appel, W. Geithner, S. Reimann, M. Sapinski, R. Singh, and D. M. Vilsmeier, “Optimization of Heavy-Ion Synchrotrons Using Nature-Inspired Algorithms and Machine Learning”, in Proc. 13th International Computational Accelerator Physics Conference (ICAP'18), Key West, Florida, USA, Oct. 2018, pp. 15-21.
S. Reimann, “Online Optimization of the Transfer Line from UNILAC towards SIS18 at GSI Using a Genetic Autotune Algorithm”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 922-924.
S. Reimann, M. Droba, O. Meusel, and H. Podlech, “An Algorithm for Automated Lattice Design of Transfer Lines”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 127-130.
S. Reimann, M. Droba, O. Meusel, and H. Podlech, “Generalisation and Longitudinal Extension of the Genetic Lattice Construction (GLC) Algorithm”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 453-456.
W. Geithner et al., “Genetic Algorithms for Machine Optimization in the Fair Control System Environment”, in Proc. 9th Int. Particle Accelerator Conf. (IPAC'18), Vancouver, Canada, Apr.-May 2018, pp. 4712-4715.


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