Find your next solver
A curated index of Operations Research resources — solvers, courses, books, datasets, communities and more. Classified by type, topic and audience.
24 resources matching
- AliGorithmVideo
YouTube channel with interesting knowledge about optimization.
- AMPLModeling language
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.
- Anything you can do I can do betterVideo
Prof Marco Lubbecke talks about optimization in a TED Talk.
- CVXPYModeling language
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.
- Discrete Optimization TalksPodcast
Discrete Optimization Talks (DOTs) is a virtual seminar series from the Mixed Integer Programming Society (MIPS), a technical section of the Mathematical Optimization Society (MOS). Topics of interest are theoretical, computational, and applied aspects of integer and combinatorial optimization. The typical format of each session is two 30-minute talks.
- Free the world from wasteful scheduling with Timefold AIVideo
Solve NP-hard optimization problems with Timefold AI.
- GAMSModeling language
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.
- Google OR-ToolsModeling language
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.
- IISE Operations Research podcast seriesPodcast
It features conversations between students, faculty and professionals around OR-related topics
- JuMPModeling language
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.
- MathOpt: Solver Independent Modeling in Google OR-ToolsVideo
A new interface for Google OR-Tools.
- MiniZincModeling language
MiniZinc is a high-level constraint modelling language that allows you to easily express and solve discrete optimisation problems.
- 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.
- NeEDS - Network of European Data ScientistsPodcast
The Network consists of six academic and nine industrial participants from five EU countries, USA and Chile. The participants combine strong and complementary expertise, within industry sectors ranging from energy, retailing, insurance to banking, as well as national statistical offices.
- Optimizing youPodcast
Discussions around optimization, interviewing academics in the field of Operations Research and Industrial Engineering
- optlangModeling language
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.
- 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.
- PuLPModeling language
An LP modeler written in Python
- PyomoModeling language
Python-based, open-source optimization modeling language with a diverse set of optimization capabilities.
- PyOptInterfaceModeling language
PyOptInterface is an open-source Python library to provide a unified API to construct and solve optimization models with various optimizers.
- Resoundingly Human - INFORMSPodcast
The podcast from INFORMS that talks about different topics around Operations Research
- Subject toPodcast
"Subject to" offers a series of informal conversations with relevant figures in the fields of Operations Research, Combinatorial Optimization and Logistics, and they are hosted by Anand Subramanian, an Associate Professor at Universidade Federal da Paraíba (UFPB), Brazil
- The Decision Intelligence LabPodcast
The Decision Intelligence Lab explores practical challenges of applying data science, analytics, and AI to drive real-world business outcomes. Hosted by Prof. Michael Watson (Nortwestern University) and Prof. Vijay Mehrotra (University of San Francisco) - both seasoned entrepreneurs, consultants, and researchers - this podcast delivers real-world insights for data professionals, business leaders, & anyone seeking to leverage data for smarter decision making. Each episode features leaders sharing how smarter decisions are reshaping business and technology.