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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.
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
.
MIPLIB 2010
MetainfoAt http://miplib.zib.de/
also solutions to the problem
instances are provided which can easily be obtained by executing.
miplib_download_metainfo()
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") )
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
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.