Find your next solver

Course about advanced modeling for discrete optimization, covering topics such as debugging or predicates

YouTube channel with interesting knowledge about optimization.

Prof Marco Lubbecke talks about optimization in a TED Talk.

An arcade-style TSP challenge game written for https://github.com/tunnuz/arcadetsp's 2018 Christmas Party, follow the in-game instructions.

Course about basic modeling for discrete optimization with MiniZinc

Learn supply chain principles through a visual simulation.

Web-based app that is intended to act as an entry point for data scientists and problem solvers who could benefit from optimization; the game teaches players why optimization is valuable and important, why it’s difficult (by showcasing the scaling and added complexity of optimization throughout round play), and why solvers and other optimization algorithms are essential in finding an optimal solution.

An introduction to algorithms and computational complexity to solve combinatorial optimization problems

Index with conferences about Operations Research for the following years

Index with conferences about Optimization for the following years

International conference about Constraint Programming

International conference about the integration of Constraint Programming, Artificial Intelligence and Operations Research

CSPLib is a library of test problems for constraint solvers.

A game to better understand how CVRP works.

Instances for the CVRP challenge.

Course about discrete optimization covering a wide range of optimization techniques such as Constraint Programming, Local Search or Column Generation

Solve NP-hard optimization problems with Timefold AI.

A gentle introduction to optimization with Python.

International Conference on Operations Research and Enterprise Systems

Calendar of events from INFORMS

International Conference on Operations Research

Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness.

An introduction to Operations Research with theory from Linear Programming to simulation, passing through Nonlinear Programming, Game Theory, Metaheuristics or Network flows, among others.

Interactive resources to learn Graph Theory.

Interactive resources to learn OR.

The TLC is a simple constrained integer program turned into a game that you can play in a classroom with Legos. In each round of the game, your team acts as a boutique woodworking company who must decide which items to build and sell to the market. The goal is to decide how many of each type of item to build to maximize profits and beat other teams, where you are constrained by how many component pieces you have available.

A new interface for Google OR-Tools.

This site provides access to a number of Operations Research problem data sets.

International Conference on Metaheuristics and Nature Inspired Computing

Metaheuristics International Conference

Introduction to the field of mathematical optimization.

A discussion about books focused on duality theory

A book covering the basics of Operations Research

Developed to help spark an interest for mathematics in children and young adults. I use optimization concepts in the context of real-life problems as motivation. All you need are a printer to print the pages with the instructions and a pair of scissors to cut out the game pieces.

This book offers an up-to-date description of relaxation/approximation and decomposition techniques, demonstrating how their combined use efficiently solves large-scale optimization problems relevant to engineering, particularly in electrical, and industrial engineering, with a focus on energy.

An interesting book about Column Generation to tackle large-scale optimization problems

Instances for several interesting NP-hard problems.

7-day free email course to kickstart in Operations Research.

Seems some of us can't see a problem without wanting to take a crack at solving it. Does that sound like you? Good. Forge ahead and ponder this month's problem. We'll post a new one every month, and allow a month for you to submit solutions (we may even publish submitted answers, especially if they're correct).

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.

A comprehensive guide to mathematical modeling with more than 140 games as case studies.

Instances for Quadratic Assignment Problems.

Course about all things mathematical optimization: unconstrained, LP, NLP, MIP, Global optimization, Dynamic optimization, ML for optimization, and optimization under uncertainty.

Deliver 100 barrels to the customer at the lowest cost. Select wells and refineries to choose volume flowing on pipe-lines.

SNDlib is a library of data for Survivable fixed telecommunication Network Design. Its purpose is to provide data about realistic telecommunication networks (including traffic) available to the research community.

Course about solving discrete optimization problems with different techniques: Constraint Programming, Mixed Integer Programming and Local Search

Learn about cutting planes in an adictive way.

A game to play the Knapsack to learn how to solve it.

OR-Library is a collection of test data sets for a variety of Operations Research (OR) problems.

Another game with map visualizations for the TSP.

Solve the TSP in a visual way from the Productions and Operations Management (Universitat Wein).

TSPLIB is a library of sample instances for the TSP (and related problems) from various sources and of various types.

This web is dedicated to the study of VRP; we have compiled here a great deal of information about it for public access: technical reports, many different variants of the problem, alternative algorithms and techniques for solving it, some well-known instances of the problem, the best-so-far solutions for those instances, bibliography, related links…