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
- AliGorithmVideo
YouTube channel with interesting knowledge about optimization.
- Amazon ScienceBlog
Blog with news from the Operations Research and Optimization group at Amazon
- 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
- Discrete Optimization courseCourse
Course about discrete optimization covering a wide range of optimization techniques such as Constraint Programming, Local Search or Column Generation
- Flexciton newsBlog
Blog with news from one of the biggest companies in the world optimizing chip making
- Free the world from wasteful scheduling with Timefold AIVideo
Solve NP-hard optimization problems with Timefold AI.
- Gurobi blogBlog
Blog with news from Gurobi, the company behind one of the most important solvers globally
- Gurobi case studiesBlog
Use cases from Gurobi
- MathOpt: Solver Independent Modeling in Google OR-ToolsVideo
A new interface for Google OR-Tools.
- ML ain’t your only hammerVideo
Introduction to the field of mathematical optimization.
- Optano blogBlog
Blog with news about optimization of structures and processes (including logistics planning, network planning, production planning…)
- OR from 0 to 1Course
7-day free email course to kickstart in Operations Research.
- 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.
- Solvermax blogBlog
Blog about mathematical modeling with Python and Excel
- Solving algorithms for discrete optimizationCourse
Course about solving discrete optimization problems with different techniques: Constraint Programming, Mixed Integer Programming and Local Search
- Vaidehi Joshi blogBlog
Blog about data structures and algorithms