ROI.models.miplib
MIPLIB 2010
library(ROI)
library(ROI.models.miplib)
MIPLIB 2010
is a library of mixed integer programming problems which can be obtained
from http://miplib.zib.de/
. ROI.models.miplib
provides utility functions
to download MIPLIB 2010
and convert it into ROI
optimization problems. Since MIPLIB 2010
is kind of big only functions
for downloading and accessing the library are provided but not the library itself.
Download MIPLIB
There are two versions of MIPLIB
available at http://miplib.zib.de/
a smaller version for benchmarking (around 94 MB) and the full version (around 1.3 GB)
which contains all benchmark instances.
Download the benchmark instances.
miplib_download_benchmark(quiet = FALSE)
Download the all instances.
miplib_download_all(quiet = FALSE)
By default the optimization problems are stored in the package folder as
.rds
-files and can be accessed via the function miplib
.
Download MIPLIB 2010
Metainfo
At http://miplib.zib.de/
also solutions to the problem instances are
provided which can easily be obtained by executing.
miplib_download_metainfo()
Using MIPLI 2010
After downloading MIPLIB 2010
it can be accessed by the function miplib
.
miplib()
## or if a non-default folder name was provided at the download step
miplib(folder = folder_name)
lists all the names of the (downloaded) MIPLIB 2010
instances.
miplib(x = "all")
## or if a non-default folder name was provided at the download step
miplib(x = "all", folder = folder_name)
gives all the (downloaded) MIPLIB
instances.
miplib(x = "metainfo")
## or if a non-default folder name was provided at the download step
miplib(x = "metainfo", folder = folder_name)
gives the available meta information.
miplib(x = "rmine6")
## or if a non-default folder name was provided at the download step
miplib(x = "rmine6", folder = folder_name)
returns the rmine6
optimization problem as an ROI optimization problem.
ROI_solve( miplib(x = "iis.100.0.cov") )
References
- Thorsten Koch, Tobias Achterberg, Erling Andersen, Oliver Bastert, Timo Berthold, Robert E. Bixby, Emilie Danna, Gerald Gamrath, Ambros M. Gleixner, Stefan Heinz, Andrea Lodi, Hans Mittelmann, Ted Ralphs, Domenico Salvagnin, Daniel E. Steffy, Kati Wolter (2011).
MIPLIB 2010
URL http://mpc.zib.de/index.php/MPC/article/view/56/28
- R. E. Bixby, E. A. Boyd, R. R. Indovina (1992).
MIPLIB: A Test Set of Mixed Integer Programming Problems