About

This repository provides a comprehensive collection of bilevel optimization benchmarks for researchers and practitioners. Bilevel optimization involves hierarchical decision-making where one optimization problem is nested within another, commonly found in areas like economics, engineering design, and machine learning.

Contributing

We welcome contributions of new benchmark problems, datasets, and improvements to existing instances. Please see our contribution guidelines for detailed instructions on how to add new problems or enhance the collection.

Citing

If you use these benchmarks in your research, please cite our work to help support the community.

@report{bolib3,
    title = {BOLIB-3: Bilevel optimisation library for benchmarking},
    author = {Samuel Ward, Yaru Qian, Jordan Fisher, Alain Zemkoho},
    year = {2025},
    institution = {University of Southampton}
}

Contact

For questions, citing information, collaboration opportunities, or to report corrections, please get in touch using the contact details below.