Find your next solver
A curated index of Operations Research resources — solvers, courses, books, datasets, communities and more. Classified by type, topic and audience.
- Advanced modeling for discrete optimizationCourse
Course about advanced modeling for discrete optimization, covering topics such as debugging or predicates
- AIMMS use casesUse cases
Case studies from AIMMS
- AliGorithmVideo
YouTube channel with interesting knowledge about optimization.
- AMPL use casesUse cases
Optimization problems in businesses using AMPL
- Anything you can do I can do betterVideo
Prof Marco Lubbecke talks about optimization in a TED Talk.
- Basic modeling for discrete optimizationCourse
Course about basic modeling for discrete optimization with MiniZinc
- Coupa use casesUse cases
Customer success stories from Coupa including optimization problems
- DecisionBrain use casesUse cases
A track record of successful deployments in several countries across the globe from DecisionBrain
- Discrete Optimization courseCourse
Course about discrete optimization covering a wide range of optimization techniques such as Constraint Programming, Local Search or Column Generation
- FICO use casesUse cases
The Resource Center of use cases done with FICO
- Free the world from wasteful scheduling with Timefold AIVideo
Solve NP-hard optimization problems with Timefold AI.
- GAMS use casesUse cases
A selection of case studies that demonstrate the diverse application areas of mathematical optimization with GAMS.
- Gurobi use casesUse cases
Insights from different case studies of companies using Gurobi
- Hexaly use casesUse cases
Success stories from different companies using Hexaly
- IBM use casesUse cases
Use cases from IBM
- 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.
- More Optimal use casesUse cases
Real life examples from More Optimal
- Optimal Dynamics use casesUse cases
Case studies from Optimal Dynamics
- Optimal Solutions use casesUse cases
Case studies from Optimal Solutions focused on food & beverage, pharmaceuticals, airlines, and finance
- OR from 0 to 1Course
7-day free email course to kickstart in Operations Research.
- ORTECUse cases
Customer success stories from ORTEC
- 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.
- RWTHx: Mathematical Optimization for EngineersCourse
Course about all things mathematical optimization: unconstrained, LP, NLP, MIP, Global optimization, Dynamic optimization, ML for optimization, and optimization under uncertainty.
- Solving algorithms for discrete optimizationCourse
Course about solving discrete optimization problems with different techniques: Constraint Programming, Mixed Integer Programming and Local Search
- The OR Society use casesUse cases
Business cases highlighted by The OR Society
- Timefold use casesUse cases
Customer stories of companies using Timefold for planning problems