Iterated race is an extension of the Iterated F-race method for the automatic configuration of optimization algorithms, that is, (offline) tuning their parameters by finding the most appropriate settings given a set of instances of an optimization problem. M. López-Ibáñez, J. Dubois-Lacoste, L. Pérez Cáceres, T. Stützle, and M. Birattari (2016) <doi:10.1016/j.orp.2016.09.002>.
Version: 4.2.0 Depends: R (≥ 4.0.0) Imports: R6, codetools, compiler, data.table (≥ 1.15.0), fs, matrixStats (≥ 1.4.1), spacefillr, stats, utils, withr Suggests: Rmpi (≥ 0.6.0), highr, knitr, parallel, testthat (≥ 3.1.8) Published: 2025-02-12 DOI: 10.32614/CRAN.package.irace Author: Manuel López-Ibáñez [aut, cre], Jérémie Dubois-Lacoste [aut], Leslie Pérez Cáceres [aut], Thomas Stützle [aut], Mauro Birattari [aut], Eric Yuan [ctb], Prasanna Balaprakash [ctb], Nguyen Dang [ctb] Maintainer: Manuel López-Ibáñez <manuel.lopez-ibanez at manchester.ac.uk> BugReports: https://github.com/MLopez-Ibanez/irace/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://mlopez-ibanez.github.io/irace/, https://github.com/MLopez-Ibanez/irace NeedsCompilation: yes SystemRequirements: GNU make Citation: irace citation info Materials: README, NEWS In views: Optimization CRAN checks: irace results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=irace to link to this page.
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