Optimization Problem Instances For Operations Research

Instance datasets of operations research problems. The repository, created by Oscar-Oliveira, was last updated on September 9, 2025. It contains curated datasets for classic optimization problems.

Use Cases

• Benchmarking facility location algorithms using instance-specific coordinates and demand data.
• Testing cutting and packing heuristics against provided item dimensions and bin capacities.
• Developing new solvers for operational research problems with structured input parameters.
• Comparing solution performance across different problem instances from the collection.

Strengths

• Repository last updated in September 2025, indicating recent maintenance.
• Datasets are focused on specific, well-defined operations research problem types.

Limitations

• Unknown dataset sizes, row counts, and specific features prevent assessment of scale.
• Lack of column descriptions and sample data makes initial exploration difficult.

Provenance

Source

GitHub repository by author Oscar-Oliveira.

Collection Method

Curated collection of instance datasets for operations research problems.

Freshness

Last updated September 9, 2025.