1998/09/18 by J. F. Markham, John Markham, Tien D. Kieu +1 · 2 citations
Medicine · Physics and Astronomy · #Medical Imaging Techniques and Applications #Model Reduction and Neural Networks #hep-lat
paper · pdf · doi:10.1016/s0920-5632(99)85228-1
published as Nucl.Phys.Proc.Suppl. 73 (1999) 868-870 · LATTICE98(algorithms), 3 pages, 6 figures
arxiv created 1998/09/18 · openalex publication_date 1999/03/01 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Current algorithms used to put a lattice gauge configuration into Landau gauge either suffer from the problem of critical slowing-down or involve an additional computational expense to overcome it. Evolutionary Algorithms (EAs), which have been widely applied to other global optimisation problems, may be of use in gauge fixing. Also, being global, they should not suffer from critical slowing-down as do local gradient based algorithms. We apply EA's and also a Steepest Descent (SD) based method to the problem of Landau Gauge Fixing and compare their performance.