COINOR
80x80  
Formation  2000 

Website  http://www.coinor.org 
COINOR, which stands for Computational Infrastructure for Operations Research, is a project that aims to "create for mathematical software what the open literature is for mathematical theory." The open literature (e.g., a research journal) provides the OR community with a peerreview process and an archive. Papers in operations research journals on mathematical theory often contain supporting numerical results from computational studies. The software implementations, models, and data used to produce the numerical results are typically not published. The status quo impeded researchers needing to reproduce computational results, make fair comparisons, and extend the state of the art.
The success of Linux, Apache, and other projects popularized the opensource model of software development and distribution. A group at IBM Research proposed open source as an analogous yet viable means to "publish" software, models, and data. COINOR was conceived as an initiative to promote opensource in the computational Operations Research community and to provide the online resources and hosting services required to enable others to run their own opensource software projects.
The COINOR website was launched as an experiment in 2000, in conjunction with 17th International Symposium on Math Programming in Atlanta, Georgia. In the year 2007, COINOR had 25 application projects,^{[1]} including tools for linear programming (e.g., COINOR CLP), nonlinear programming (e.g., IPOPT), integer programming (e.g., CBC, Bcp and COINOR SYMPHONY), algebraic modeling languages (e.g., Coopr) and more. COINOR is hosted by the Institute for Operations Research and the Management Sciences, INFORMS, and run by the educational, nonprofit COINOR Foundation.
Contents
Projects
CLP
CLP (COINOR LP) is an opensource linear programming solver written in C++. It is published under the Common Public License so it can be used in proprietary software without any of the restrictions of the GNU General Public License. CLP is primarily meant to be used as a callable library, although a standalone executable version can be built. It is designed to be as reliable as any commercial solver (if not quite as fast) and to be able to tackle very large problems.
CLP is designed to solve linear programming problems such as :

 minimize
 subject to problem constraints of the following form
 Nonnegative variables
with up to millions of variables and/or constraints. Its main algorithm is the Simplex algorithm.
CLP is used in other COINOR projects such as SYMPHONY, BCP (Branch Cut and Price), CBC (COINOR Branch and Cut) and others.
CBC
CBC (COINOR branch and cut) is an opensource mixed integer programming solver written in C++. It can both be used as a standalone executable and as a callable library (through AMPL [natively], GAMS [using the links provided by the COINOR Optimization Services (OS) and GAMSlinks projects], MPL [through the CoinMP project], AIMMS [through the AIMMSlinks project], or PuLP).
SYMPHONY
SYMPHONY (Single or multiprocess optimization over networks) is an open source branch and cut framework for solving mixed integer programs (MIPs) over heterogeneous networks – and can use CLP, CPLEX, XPRESS or other linear programming solvers to solve the underlying linear programs.
SYMPHONY is a callable library which implements both sequential and parallel versions of branch, cut and price to solve MILPs. A branch, cut and price algorithm is similar to a branch and bound algorithm but additionally includes Cuttingplane methods and pricing algorithms. The user of the library can customize the algorithm in any number of ways by supplying applicationspecific subroutines for reading in custom data files, generating applicationspecific cutting planes, or applying custom branching rules, resulting in a customized stateoftheart branch and cut algorithm. Most components of the algorithm, e.g., search tree management, management of linear programming solution, cut pool management, and communication management, are internal to the library and need not be touched by the user. The executables can be built in any number of configurations ranging from completely sequential to fully parallel with independently functioning cut generators, cut pools, and LP solvers. The distributed version currently runs in any environment supported by the PVM message passing protocol. The same source code can also be compiled for sharedmemory architectures using any OpenMP compliant compiler.
SYMPHONY reads MPS (through the COINOR MPS reader) and GNU MathProg files. SYMPHONY does not have an LPSolver of its own, but can be used with solvers like Clp, Cplex, Xpress through the Osiinterface. Cuts are generated using COIN's cut generation library: CGL. SYMPHONY also has structure specific implementations for problems like the Traveling salesman problem, Vehicle routing problem, Set partitioning problem, Mixed postman problem etc. SYMPHONY also has an interactive shell where the user can enter commands to execute and control the program.
PuLP
PuLP is an LP modeler written in Python. It can generate MPS or LP files and call GLPK, CLP/CBC, CPLEX, and Gurobi to solve linear problems.
SMI
SMI is a Stochastic programming modeler and solver written in C++. It can read Stochastic MPS as well as offers direct interfaces for constructing stochastic programs. It generates the deterministic equivalent linear program, solves it, and provides interfaces to access the scenario solutions.
References
Further reading
 J.T. Linderoth and T.K. Ralphs: Noncommercial Software for MixedInteger Linear Programming. In: Integer Programming: Theory and Practice, John Karlof (ed.), CRC Press Operations Research Series, 2005, 253303. (Working paper version)
 T. Ralphs: An Introduction to the COINOR Optimization Suite: Open Source Tools for Building and Solving Optimization Models. Optimization Days, Montreal, May 7, 2013. (Presentation slides)