TY - CONF AU - Neveu, N.R. AU - Hudson, S. T. P. AU - Larson, J.M. AU - Spentzouris, L.K. ED - Schaa, Volker RW ED - Makino, Kyoko ED - Snopok, Pavel ED - Berz, Martin TI - Comparison of Model-Based and Heuristic Optimization Algorithms Applied to Photoinjectors Using Libensemble J2 - Proc. of ICAP2018, Key West, FL, USA, 20-24 October 2018 CY - Key West, FL, USA T2 - International Computational Accelerator Physics Conference T3 - 13 LA - english AB - Genetic algorithms are common and often used in the accelerator community. They require large amounts of computational resources and empirical adjustment of hyperparameters. Model based methods are significantly more efficient, but often labeled as unreliable for the nonlinear or unsmooth problems that can be found in accelerator physics. We investigate the behavior of both approaches using a photoinjector operated in the space charge dominated regime. All optimization runs are coordinated and managed by the Python library libEnsemble, which is developed at Argonne National Laboratory. PB - JACoW Publishing CP - Geneva, Switzerland SP - 22 EP - 24 KW - simulation KW - cavity KW - space-charge KW - gun KW - solenoid DA - 2019/01 PY - 2019 SN - 978-3-95450-200-4 DO - DOI: 10.18429/JACoW-ICAP2018-SAPAF03 UR - http://jacow.org/icap2018/papers/sapaf03.pdf ER -