Find your next solver
A curated index of Operations Research resources — solvers, courses, books, datasets, communities and more. Classified by type, topic and audience.
- AliGorithmVideo
YouTube channel with interesting knowledge about optimization.
- Anything you can do I can do betterVideo
Prof Marco Lubbecke talks about optimization in a TED Talk.
- COMAP contestsChallenge
Consortium for Mathematics and its applications
- COMAP mcm-icmChallenge
COMAP's Mathematical Contest in Modeling (MCM) and Interdisciplinary Contest in Modeling (ICM) are international contests for high school students and college undergraduates. The contests challenge teams of up to three students to analyze, model, solve, and present solution reports to an open-ended application problem. In these contests research, analytics, and applied intelligence are just as important as time management and problem selection. Are you and your team up to it?
- CVRP GameGame
A game to better understand how CVRP works.
- Decision Management Community challengesChallenge
Community for Decision Management, including Machine Learning and Optimization
- Free the world from wasteful scheduling with Timefold AIVideo
Solve NP-hard optimization problems with Timefold AI.
- Kaggle Optimization ChallengesChallenge
Challenges around TSP variant with Santa Claus
- MathOpt: Solver Independent Modeling in Google OR-ToolsVideo
A new interface for Google OR-Tools.
- MIPLearnSoftware
An extensible framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (ML). MIPLearn uses ML methods to automatically identify patterns in previously solved instances of the problem, then uses these patterns to accelerate the performance of conventional state-of-the-art MIP solvers such as CPLEX, Gurobi or XPRESS.
- ML ain’t your only hammerVideo
Introduction to the field of mathematical optimization.
- OPTIL.ioChallenge
Challenges with different optimization problems
- Pragmatic OR: Solving large scale optimization problems in fast moving environmentsVideo
Rubén Ruiz, Principal Applied Scientist at Amazon, shows how he leverages Hexaly at Amazon to solve a gigantic optimization problem that is out of the scope of other MILP solvers.
- ROADEF challengeChallenge
Bi-annual challenges from the French Operational Research (OR) and Decision Support Society. 2026: https://gitlab.com/Orange-OpenSource/network-optimization-tools/challenge-roadef-2026/-/tree/main/sprint_results
- Shell AI challengeChallenge
Annual challenges organized by Shell AI team.
- TSP ChallengeGame
Another game with map visualizations for the TSP.