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: |
3.5 |
Depends: |
R (≥ 3.2.0) |
Imports: |
stats, utils, compiler, R6 |
Suggests: |
Rmpi (≥ 0.6.0), parallel, knitr, testthat, withr, mlr (≥
2.15.0), ParamHelpers, devtools, covr |
Published: |
2022-10-23 |
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 |