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A curated index of Operations Research resources — solvers, courses, books, datasets, communities and more. Classified by type, topic and audience.
8 resources matching
- Advanced modeling for discrete optimizationCourse
Course about advanced modeling for discrete optimization, covering topics such as debugging or predicates
- Basic modeling for discrete optimizationCourse
Course about basic modeling for discrete optimization with MiniZinc
- 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.
- Combinatorial Optimization: Algorithms and ComplexityBook
An introduction to algorithms and computational complexity to solve combinatorial optimization problems
- DIMACS challengeChallenge
Challenges from the Center for Discrete Mathematics and Theoretical Computer Science
- Discrete Optimization courseCourse
Course about discrete optimization covering a wide range of optimization techniques such as Constraint Programming, Local Search or Column Generation
- PACE challengeChallenge
Challenge from Parameterized Algorithms and Computational Experiments Challenge to bridge the gap between theory and practice of algorithms
- Solving algorithms for discrete optimizationCourse
Course about solving discrete optimization problems with different techniques: Constraint Programming, Mixed Integer Programming and Local Search