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https://github.com/joaojunior/awesome-operational_research

A curated list of awesome Operational research solvers, libraries, books, teachers and resources
https://github.com/joaojunior/awesome-operational_research

List: awesome-operational_research

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A curated list of awesome Operational research solvers, libraries, books, teachers and resources

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# Awesome Operational Research [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)



A curated list of awesome Operational research solvers, libraries, books, teachers and resources



Inspired by [awesome-go](https://github.com/avelino/awesome-go).



## Solvers



*Open-source and comercial solvers*



* [Cbc](https://projects.coin-or.org/Cbc) - An open-source mixed integer programming solver written in C++.

* [Clp](https://projects.coin-or.org/Clp) - An open-source linear programming solver written in C++.

* [GLPK](https://www.gnu.org/software/glpk/) - Package is intended for solving large-scale linear programming (LP), mixed integer programming (MIP), and other related problems.

* [lp_solve](http://lpsolve.sourceforge.net/5.5/) - A Mixed Integer Linear Programming (MILP) solver.

* [QSopt](http://www.math.uwaterloo.ca/~bico/qsopt/) - Linear Programming Solver.

* [SCIP](http://scip.zib.de/) - Solving Constraint Integer Programs.

* [CPLEX](http://www-01.ibm.com/software/commerce/optimization/cplex-optimizer/) - Mathematical programming solver for linear programming, mixed integer programming, and quadratic programming.

* [Gurobi](http://www.gurobi.com/) - Mathematical programming solver.

* [LocalSolver](http://www.localsolver.com/) - Hybrid mathematical programming solver.

* [Mosek](https://www.mosek.com/products/mosek) - Interior-point optimizer for continous linear, quadratic and conic problems..

* [Xpress](http://www.fico.com/en/products/fico-xpress-optimization-suite) - Linear and convex quadratic optimization in continuous and integer variables.



## Books



*Many books about Operational research*



* [Introduction to Graph Theory](https://www.amazon.com/Introduction-Graph-Theory-Douglas-West/dp/0130144002/)

* [Robust Discrete Optimization and Its Applications](https://www.amazon.com/Robust-Discrete-Optimization-Applications-Nonconvex/dp/0792342917)

* [Integer Programming](https://www.amazon.com/Integer-Programming-Laurence-Wolsey/dp/0471283665/)

* [Introduction to Linear Optimization](https://www.amazon.com/Introduction-Linear-Optimization-Scientific-Computation/dp/1886529191/)

* [Combinatorial Optimization](https://www.amazon.com/Combinatorial-Optimization-3-B-C/dp/3540443894)

* [Modern Graph Theory](https://www.amazon.com/Modern-Graph-Theory-Bela-Bollobas/dp/0387984887/)

* [Combinatorial Problems and Exercises](https://www.amazon.com/Combinatorial-Problems-Exercises-Chelsea-Publishing/dp/0821842625/)

* [Computational Complexity: A Modern Approach](https://www.amazon.com/Computational-Complexity-A-Modern-Approach/dp/0521424267/)

* [Algorithmic Game Theory](https://www.amazon.com/Algorithmic-Game-Theory-Noam-Nisan/dp/0521872820/)

* [Decomposition Techniques in Mathematical Programming: Engineering and Science Applications](https://www.amazon.com/Decomposition-Techniques-Mathematical-Programming-Applications/dp/3642066070/)

* [ Concrete Mathematics: A Foundation for Computer Science](https://www.amazon.com/Concrete-Mathematics-Foundation-Computer-Science/dp/0201558025/)

* [How To Solve It: A New Aspect of Mathematical Method](https://www.amazon.com/How-Solve-Aspect-Mathematical-Method/dp/4871878309/)

* [The Algorithm Design Manual](https://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202/)

* [Computational Geometry: Algorithms and Applications](https://www.amazon.com/Computational-Geometry-Applications-Mark-Berg/dp/3642096816/)

* [Optimization Theory for Large Systems](https://www.amazon.com/Optimization-Theory-Large-Systems-Mathematics/dp/0486419991)

* [Algorithms](http://algs4.cs.princeton.edu/home/)

* [Applied Mathematical Programming](http://web.mit.edu/15.053/www/)



## Teachers



* [Andréa Cynthia Santos](http://losi.utt.fr/fr/_plugins/mypage/mypage/content/duhamela.html)

* [Alexandre Salles da Cunha](http://homepages.dcc.ufmg.br/~acunha/)

* [Alexandre Xavier Martins](http://www.icea.ufop.br/professores/alexandre_xavier_martins/)

* [Cristian Prins](http://losi.utt.fr/fr/_plugins/mypage/mypage/content/prins.html)

* [Geraldo Robson Mateus](http://homepages.dcc.ufmg.br/~mateus/)

* [Jeff Erickson](http://jeffe.cs.illinois.edu/)

* [Jon Kleinberg](http://www.cs.cornell.edu/home/kleinber/)

* [Luciana Buriol](http://www.inf.ufrgs.br/~buriol/)

* [Michael Trick](http://mat.gsia.cmu.edu/)

* [Paulo Feofiloff](https://www.ime.usp.br/~pf/)

* [Sebastián Alberto Urrutia](http://homepages.dcc.ufmg.br/~surrutia/)

* [Thiago Ferreira de Noronha](http://homepages.dcc.ufmg.br/~tfn/)



## Groups



*Groups about Operational Research*



* [LaPO](https://sites.google.com/site/lapoufmg/), UFMG, Brazil

* [LOSI](http://losi.utt.fr/fr/index.html), Université de Technologie de Troyes, France

* [Matheon](http://www.matheon.de/), Berlin, Germany

* [NEO](http://neo.lcc.uma.es/), Universidad de Malaga, Spain

* [RUTCOR](http://rutcor.rutgers.edu/), Rutgers University, United States

* [ORBrescia](http://or-brescia.unibs.it/), Università di Brescia, Italy

* [ORC](http://orc.mit.edu/), MIT, United States

* [OR@Unibo](http://or.dei.unibo.it/), Università di Bologna, Italy



## Resources



### Learning Resources



* [Free webinars on Operational Research topics](https://www.airoyoung.org/resources/euro-seminars)

* [The Science of Better](http://www.scienceofbetter.co.uk/), from the U.K. OR Society

* [Learn about O.R.](http://www.learnaboutor.co.uk/), from the U.K. OR Society



### Code Examples and Libraries



* [Tutorial on the CPLEX API](https://github.com/alberto-santini/cplex-example), in C++

* [Implementation of the Adaptive Large Neighbourhood Search metaheuristic](https://github.com/alberto-santini/adaptive-large-neighbourhood-search), in C++

* [Implementation of the Biased Random Key Genetic Algorithm metaheuristic](https://github.com/alberto-santini/biased-random-key-ga), in C++

* [Implementation of a simple Genetic Algorithm framework](https://github.com/alberto-santini/simple-ga-cpp), in C++

* [Library to solve Graph Colouring Problems and Max-Weight Stable Set Problems](https://github.com/heldstephan/exactcolors), in C

* [LKH-3](http://www.akira.ruc.dk/~keld/research/LKH-3/), Helsgaun's implementation and extension of the popular Lin-Kernigan heuristic for routing problems

* [Discorde](https://github.com/andremaravilha/discorde-tsp), a wrapper API for the popular TSP solver *Concorde*



### O.R. Organisations



* [EURO](https://www.euro-online.org/web/pages/1/home), the Association of European Operational Research Societies

* [EUROYoung](https://euroyoung.github.io/), a group of young EURO researchers organising free events for other young researchers

* [AIRO](https://www.airo.org/), the Italian O.R. Society

* [AIROYoung](http://www.airoyoung.org/), the Youth Chapter of AIRO, organising a yearly free workshop and PhD school

* [MTL-Students](https://www.mtl-students.com/), student chapters for O.R. students in Montreal, Canada

* [The Operational Research Society](https://www.theorsociety.com/), United Kingdom

* [ROADEF](https://www.google.com/search?q=roadef&ie=utf-8&oe=utf-8&client=firefox-b-ab), the French O.R. Society

* [DORS](www.dorsnet.dk), the Danish O.R. Society