Title |
Comparison of Model-Based and Heuristic Optimization Algorithms Applied to Photoinjectors Using Libensemble |
Authors |
- N.R. Neveu
IIT, Chicago, Illinois, USA
- S. T. P. Hudson, J.M. Larson
ANL, Argonne, Illinois, USA
- L.K. Spentzouris
Illinois Institute of Technology, Chicago, Illinois, USA
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Abstract |
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.
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Funding |
U.S. DOE, OS, contract DE-AC02-06CH11357 and grant DE-SC0015479. |
Paper |
download SAPAF03.PDF [0.496 MB / 3 pages] |
Slides |
download SAPAF03_TALK.PDF [0.653 MB] |
Export |
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Conference |
ICAP2018 |
Series |
International Computational Accelerator Physics Conference (13th) |
Location |
Key West, FL, USA |
Date |
20-24 October 2018 |
Publisher |
JACoW Publishing, Geneva, Switzerland |
Editorial Board |
Volker RW Schaa (GSI, Darmstadt, Germany); Kyoko Makino (MSU, East Lansing, MI, USA); Pavel Snopok (IIT, Chicago, IL, USA); Martin Berz (MSU, East Lansing, MI, USA) |
Online ISBN |
978-3-95450-200-4 |
Received |
11 November 2018 |
Accepted |
19 November 2018 |
Issue Date |
04 May 2019 |
DOI |
doi:10.18429/JACoW-ICAP2018-SAPAF03 |
Copyright |
Published by JACoW Publishing under the terms of the Creative Commons Attribution 3.0 International license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI. |
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