Find your next solver
A curated index of Operations Research resources — solvers, courses, books, datasets, communities and more. Classified by type, topic and audience.
- Advanced modeling for discrete optimizationCourse
Course about advanced modeling for discrete optimization, covering topics such as debugging or predicates
- Annals of Operations ResearchJournal
The journal publishes 24 issues a year that focus on the theoretical, practical, and computational aspects of operations research
- Basic modeling for discrete optimizationCourse
Course about basic modeling for discrete optimization with MiniZinc
- Combinatorial Optimization: Algorithms and ComplexityBook
An introduction to algorithms and computational complexity to solve combinatorial optimization problems
- Computers & Operations ResearchJournal
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.
- Discrete Applied MathematicsJournal
Journal covering algorithmic and applied areas of discrete mathematics
- Discrete Optimization courseCourse
Course about discrete optimization covering a wide range of optimization techniques such as Constraint Programming, Local Search or Column Generation
- European Journal of Operational ResearchJournal
It is a peer-reviewed academic journal in operations research. It was founded in 1977 by the Association of European Operational Research Societies
- Hands-On Mathematical Optimization with PythonBook
A gentle introduction to optimization with Python.
- International Transactions in Operational ResearchJournal
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
- Introduction to algorithmsBook
Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness.
- Introduction to Operations ResearchBook
An introduction to Operations Research with theory from Linear Programming to simulation, passing through Nonlinear Programming, Game Theory, Metaheuristics or Network flows, among others.
- Mathematics Of Operations ResearchJournal
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)
- Modern LP Book - DualityBook
A discussion about books focused on duality theory
- Operations ResearchJournal
Journal about Operations Research from INFORMS
- Operations Research LettersJournal
It is a bimonthly peer-reviewed academic journal covering operations research. It was established in 1981
- Operations Research: an introductionBook
A book covering the basics of Operations Research
- Optimization via Relaxation and DecompositionBook
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.
- Optimizing with Column GenerationBook
An interesting book about Column Generation to tackle large-scale optimization problems
- OR from 0 to 1Course
7-day free email course to kickstart in Operations Research.
- RWTHx: Mathematical Optimization for EngineersCourse
Course about all things mathematical optimization: unconstrained, LP, NLP, MIP, Global optimization, Dynamic optimization, ML for optimization, and optimization under uncertainty.
- Solving algorithms for discrete optimizationCourse
Course about solving discrete optimization problems with different techniques: Constraint Programming, Mixed Integer Programming and Local Search