Certified Dominance and Symmetry Breaking for Combinatorial Optimisation

Abstract

Symmetry and dominance breaking can be crucial for solving hard combinatorial search and optimisation problems, but the correctness of these techniques sometimes relies on subtle arguments. For this reason, it is desirable to produce efficient, machine-verifiable certificates that solutions have been computed correctly. Building on the cutting planes proof system, we develop a certification method for optimisation problems in which symmetry and dominance breaking is easily expressible. Our experimental evaluation demonstrates that we can efficiently verify fully general symmetry breaking in Boolean satisfiability (SAT) solving, thus providing, for the first time, a unified method to certify a range of advanced SAT techniques that also includes cardinality and parity (XOR) reasoning. In addition, we apply our method to maximum clique solving and constraint programming as a proof of concept that the approach applies to a wider range of combinatorial problems.

Cite

Text

Bogaerts et al. "Certified Dominance and Symmetry Breaking for Combinatorial Optimisation." Journal of Artificial Intelligence Research, 2023. doi:10.1613/JAIR.1.14296

Markdown

[Bogaerts et al. "Certified Dominance and Symmetry Breaking for Combinatorial Optimisation." Journal of Artificial Intelligence Research, 2023.](https://mlanthology.org/jair/2023/bogaerts2023jair-certified/) doi:10.1613/JAIR.1.14296

BibTeX

@article{bogaerts2023jair-certified,
  title     = {{Certified Dominance and Symmetry Breaking for Combinatorial Optimisation}},
  author    = {Bogaerts, Bart and Gocht, Stephan and McCreesh, Ciaran and Nordström, Jakob},
  journal   = {Journal of Artificial Intelligence Research},
  year      = {2023},
  pages     = {1539-1589},
  doi       = {10.1613/JAIR.1.14296},
  volume    = {77},
  url       = {https://mlanthology.org/jair/2023/bogaerts2023jair-certified/}
}