irace
Iterated Racing for Automatic Algorithm Configuration
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.
- Version4.0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- irace citation info
- Last release11/26/2024
Documentation
Team
Manuel López-Ibáñez
MaintainerShow author detailsEric Yuan
Show author detailsRolesContributorNguyen Dang
Show author detailsRolesContributorMauro Birattari
Show author detailsRolesAuthorJérémie Dubois-Lacoste
Show author detailsRolesAuthorLeslie Pérez Cáceres
Show author detailsRolesAuthorPrasanna Balaprakash
Show author detailsRolesContributorThomas Stützle
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 1,661 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 81 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 21,199 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Nov 27, 2024 with 237 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports6 packages
- Suggests5 packages
- Reverse Imports1 package
- Reverse Suggests5 packages