COIN-OR Optimization Suite Binaries
We have collected our most popular optimization projects together to form the COIN-OR Optimization Suite. We provide up-to date binary executables for each of these that you can download from the COIN-OR download page on Bintray
Projects currently included in the COIN-OR Optimization Suite are listed below (with links to the information for each one, and to any binary download page on Bintray).
- CoinUtils (COIN Utilities)
- Osi (Open Solver Interface)with interfaces to
- Clp (COIN LP Solver) [Download Clp]
- Vol (Volume Algorithm)
- Cgl (Cut Generation Library)
- Cbc (COIN Branch and Cut) [Download Cbc]
- SYMPHONY (MILP Solver Framework) [Download SYMPHONY]
- Smi (Stochastic Modeling Interface)
- Bcp (Branch, Cut, and Price Framework)
- CHiPPS (COIN High Performance Parallel Search Framework: Alps/BiCePS/Blis) [Download CHiPPS]
- DIP (Framework for Decomposition in Integer Programming) [Download Dip]
- OS (Optimization Services)
Binaries for Other Projects
Pre-compiled binaries for a number of projects and platforms are available here. For more information on using these binaries, please visit the Binary Distribution project page. Note that that more recent versions of projects in the COIN-OR Optimization Suite are available on the COIN-OR download page on Bintray.
You can find detailed instruction on obtaining, configuring, compiling, installing, and finally using the COIN-OR libraries at the CoinHelp (BuildTools) project page.
An archive containing the source code for the latest stable release of each project can be obtained here or by checking it out using Subversion (SVN). See the FAQs for general instructions or go to the web page of the project you are interested in for more specific instructions (see here for a list of project web pages).
Some COIN-OR solvers can be accessed on-line through NEOS. You only need a description of the optimization problem you want to solve — all additional information required by the solver is determined automatically. The following COIN-OR solvers run on NEOS. (Click on the links below to get to the solver’s webpage on NEOS.)