Find your next solver
A curated index of Operations Research resources — solvers, courses, books, datasets, communities and more. Classified by type, topic and audience.
20 resources matching
- AI for Better PlanningNewsletter
Learn more about how AI is changing businesses and how you can leverage it: Insights, tools, tips, and expert voices
- 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.
- Beer GameGame
Learn supply chain principles through a visual simulation.
- Choco solverSolver
An Open-Source java library for constraint programming
- cuOptSolver
Achieve world-record speed on large-scale problems with millions of constraints and variables—saving time and reducing costs.
- CVRP GameGame
A game to better understand how CVRP works.
- GecodeSolver
Gecode is an open source C++ toolkit for developing constraint-based systems and applications. Gecode provides a constraint solver with state-of-the-art performance while being modular and extensible.
- jMetalSolver
jMetal is a Java-based framework for multi-objective optimization with metaheuristics.
- KalisSolver
An innovative constraints programming component able to solve quickly and efficiently a wide range of combinatorial problems relying on an interactive and user-friendly hybrid framework including constraint programming, mixed-integer programming and artificial intelligence.
- Michael WatsonContent creator
Teaching and writing about all things AI, operations, and his startup experience.
- Mike Talks AINewsletter
Practical AI for business, my experience starting and selling a company, and other content.
- MiniZincModeling language
MiniZinc is a high-level constraint modelling language that allows you to easily express and solve discrete optimisation problems.
- 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.
- MIT Supply Chain FrontiersPodcast
Thought leadership from the MIT Center for Transportation & Logistics.
- ML ain’t your only hammerVideo
Introduction to the field of mathematical optimization.
- NevergradSolver
A gradient-free optimization platform.
- ORTECUse cases
Customer success stories from ORTEC
- Prasad VelagaContent creator
President of Optisol, Scheduling Specialist for High-Variety, Order-Driven Production and Resource-Constrained Projects.
- Timefold AISolver
Updated fork from OptaPlanner