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Advanced Analytics in Practice focusing on breaking down what it takes to build real-world advanced analytics applications.

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

AGI? No, thank you! Learning and Intelligent Optimization? Yes, please! https://intelligent-optimization.org/

Learn more about how AI is changing businesses and how you can leverage it: Insights, tools, tips, and expert voices

Blog with news from the Operations Research and Optimization group at Amazon

Welcome to AMPL (A Mathematical Programming Language), a powerful and intuitive modeling language designed specifically for large-scale optimization problems. If you are new to modeling languages or AMPL, this page will guide you through what AMPL is, its benefits, and why it stands out in the landscape of programming and modeling languages.

The journal publishes 24 issues a year that focus on the theoretical, practical, and computational aspects of operations research

Course about basic modeling for discrete optimization with MiniZinc

Operations research and computers interact in many scientific fields of vital importance to our society. These include, among others, transportation, economics, investment strategy, inventory control, logistics, safety, reliability, urban planning, and ecology. Computers & Operations Research (COR) provides an international forum for the application of computers and operations research techniques to problems in these and related fields.

CVXPY is an open source Python-embedded modeling language for convex optimization problems. It lets you express your problem in a natural way that follows the math, rather than in the restrictive standard form required by solvers.

Journal covering algorithmic and applied areas of discrete mathematics

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

It is a peer-reviewed academic journal in operations research. It was founded in 1977 by the Association of European Operational Research Societies

Where Operations Research practitioners share real-world strategies and emerging techniques for optimal decision-making.

Blog with news from one of the biggest companies in the world optimizing chip making

GAMS is a modeling system for mathematical optimization that lets users formulate complex problems in a high-level language and run them with different commercial and open-source solvers. All solvers are packaged in a single distribution, making it easy to switch between them and giving customers one point of contact for licensing and support. It also has a Python interface -GAMSPy- for building and solving mathematical optimization models using the GAMS technology stack. It keeps the modeling concepts of GAMS (sets, parameters, variables, equations) but exposes them as Python classes and functions. This allows modelers to stay in the Python ecosystem while using mature GAMS solvers and workflows.

Open source software suite for optimization, tuned for tackling the world's toughest problems in vehicle routing, flows, integer and linear programming, and constraint programming.

Blog with news from Gurobi, the company behind one of the most important solvers globally

Use cases from Gurobi

Analytics, Data Science, and AI - Actionable insights and thoughts to drive positive business transformation and impact.

One puzzle every week.

It is a peer-reviewed academic journal which is published six times a year by Wiley-Blackwell on behalf of the International Federation of Operational Research Societies. The editorial mission of the journal is to advance the theory and practice of Operational Research and Management Science internationally

JuMP is a domain-specific modeling language for mathematical optimization embedded in Julia. JuMP makes it easy to formulate and solve a range of problem classes, including linear programs, integer programs, conic programs, semidefinite programs, and constrained nonlinear programs.

It is a quarterly peer-reviewed scientific journal established in February 1976. It focuses on areas of mathematics relevant to the field of operations research such as continuous optimization, discrete optimization, game theory, machine learning, simulation methodology, and stochastic models. The journal is published by INFORMS (Institute for Operations Research and the Management Sciences)

Practical AI for business, my experience starting and selling a company, and other content.

MiniZinc is a high-level constraint modelling language that allows you to easily express and solve discrete optimisation problems.

Roundup of Operations Research, Decision Science, and DecisionOps content from Nextmv and the optimization community

Journal about Operations Research from INFORMS

It is a bimonthly peer-reviewed academic journal covering operations research. It was established in 1981

Blog with news about optimization of structures and processes (including logistics planning, network planning, production planning…)

Business Intelligence using optimal decision making tools.

Optlang is a Python package implementing a modeling language for solving mathematical optimization problems, i.e. maximizing or minimizing an objective function over a set of variables subject to a number of constraints. Optlang provides a common interface to a series of optimization tools, so different solver backends can be changed in a transparent way.

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

Planning education for real-world stuff, the newsletter for problem solvers at scale.

🌟 Welcome to the Prescriptive Analytics and Decision Optimization (PRADO) Series 2025! 🌟 The series of presentations about OR in practice, tools, and technologies. 📅 Program Sneak Peek: 🎤 March: Optimizing pharmacy procurement with substitution of drugs

An LP modeler written in Python

Laura Albert’s newsletter about OR.

Python-based, open-source optimization modeling language with a diverse set of optimization capabilities.

PyOptInterface is an open-source Python library to provide a unified API to construct and solve optimization models with various optimizers.

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

Blog about mathematical modeling with Python and Excel

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

Advice from a decision strategist with 19 years expertise in analytics & AI, inc. Gartner, system integrators & industry

Blog about data structures and algorithms