Find your next solver

A curated index of Operations Research resources — solvers, courses, books, datasets, communities and more. Classified by type, topic and audience.

30 resources matching

AliGorithmVideo
YouTube channel with interesting knowledge about optimization.
Anything you can do I can do betterVideo
Prof Marco Lubbecke talks about optimization in a TED Talk.
BKS ChallengeChallenge
The CVRPLIB team announces the CVRPLIB BKS Challenge, a 30-day competition aimed at finding extremely high-quality solutions for the new XL benchmark set, 100 challenging CVRP instances ranging from 1,000 to 10,000 customers.
CG:SHOPChallenge
The CG:SHOP Challenge (Computational Geometry: Solving Hard Optimization Problems) is an annual competition dedicated to tackling specific, difficult geometric optimization problems. Originally established as a workshop at Computational Geometry Week (CG Week) in 2019, the Challenge provides a unique platform where the success of proposed solutions is measured based on computational performance on a set of carefully selected benchmark instances. This focus on empirical evaluation marks a shift from traditional computational geometry research, which often emphasizes theoretical approaches.
COMAP contestsChallenge
Consortium for Mathematics and its applications
COMAP mcm-icmChallenge
COMAP's Mathematical Contest in Modeling (MCM) and Interdisciplinary Contest in Modeling (ICM) are international contests for high school students and college undergraduates. The contests challenge teams of up to three students to analyze, model, solve, and present solution reports to an open-ended application problem. In these contests research, analytics, and applied intelligence are just as important as time management and problem selection. Are you and your team up to it?
Decision Management Community challengesChallenge
Community for Decision Management, including Machine Learning and Optimization
DIMACS challengeChallenge
Challenges from the Center for Discrete Mathematics and Theoretical Computer Science
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.
Grid Optimization competitionChallenge
Grid Optimization challenges for electric systems
IISE Operations Research podcast seriesPodcast
It features conversations between students, faculty and professionals around OR-related topics
Kaggle Optimization ChallengesChallenge
Challenges around TSP variant with Santa Claus
Land-Doig CompetitionChallenge
The 2026 Land-Doig MIP Competition is a computational competition hosted by the 2026 Mixed Integer Programming Workshop, offering an opportunity for teams to showcase their practical and computational prowess and fostering innovation in computational MIP. It is named in honor of Ailsa H. Land and Alison G. Harcourt (née Doig), who proposed the first LP-based branch-and-bound algorithm.
MathOpt: Solver Independent Modeling in Google OR-ToolsVideo
A new interface for Google OR-Tools.
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.
MOPTA challengeChallenge
Annual challenges from the University of Lehigh
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.
OPTIL.ioChallenge
Challenges with different optimization problems
Optimizing youPodcast
Discussions around optimization, interviewing academics in the field of Operations Research and Industrial Engineering
PACE challengeChallenge
Challenge from Parameterized Algorithms and Computational Experiments Challenge to bridge the gap between theory and practice of algorithms
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.
Resoundingly Human - INFORMSPodcast
The podcast from INFORMS that talks about different topics around Operations Research
ROADEF challengeChallenge
Bi-annual challenges from the French Operational Research (OR) and Decision Support Society. 2026: https://gitlab.com/Orange-OpenSource/network-optimization-tools/challenge-roadef-2026/-/tree/main/sprint_results
Shell AI challengeChallenge
Annual challenges organized by Shell AI team.
SMIO ChallengeChallenge
Optimization competition organized by the Mexican Society of Operations Research (SMIO).
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.
VeRoLogChallenge
Vehicle Routing and Logistics work group from EURO