Dimitri Liakhovitski
2009-Mar-27 21:50 UTC
[R] asking advice for Integer Programming packages
Dear everyone, I don't know much about Integer Programming but am afraid I am facing a problem that can only be solved via Integer Programming. I was wondering if those of you who have experience with it could recommend an R package. I found the following R packages: Rglpk glpk lpSolve lpSolveAPI Are there any others? Are some of them easier to use than others for a beginner? Any advice would be greatly appreciated! -- Dimitri Liakhovitski MarketTools, Inc. Dimitri.Liakhovitski at markettools.com
Looking into the 'Optimization' task view you will also identify the Rsymphony package. A short overview of these packages and a benchmark based on a test suite can be found in <http://www.rmetrics.org/Meielisalp2008/Presentations/Theussl2.pdf>. Different problems may have quite different running times applying the underlying procedures. So the question is not so much about ease of use, but how well they fit with the problem. Regards, Hans Werner dl7631 wrote:> > Dear everyone, > > I don't know much about Integer Programming but am afraid I am facing > a problem that can only be solved via Integer Programming. I was > wondering if those of you who have experience with it could recommend > an R package. > I found the following R packages: > > Rglpk > glpk > lpSolve > lpSolveAPI > > Are there any others? > Are some of them easier to use than others for a beginner? > > Any advice would be greatly appreciated! > > > -- > Dimitri Liakhovitski > MarketTools, Inc. > Dimitri.Liakhovitski at markettools.com > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > >-- View this message in context: http://www.nabble.com/asking-advice-for-Integer-Programming-packages-tp22750572p22766608.html Sent from the R help mailing list archive at Nabble.com.