English

Certified Symmetry and Dominance Breaking for Combinatorial Optimisation

Artificial Intelligence 2023-08-17 v3

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 are 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 XOR and cardinality 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.

Keywords

Cite

@article{arxiv.2203.12275,
  title  = {Certified Symmetry and Dominance Breaking for Combinatorial Optimisation},
  author = {Bart Bogaerts and Stephan Gocht and Ciaran McCreesh and Jakob Nordström},
  journal= {arXiv preprint arXiv:2203.12275},
  year   = {2023}
}

Comments

This paper was published in the Journal of Artificial Intelligence Research https://doi.org/10.1613/jair.1.14296 It is an extended version of our (equally-named) paper to appear in the proceedings of AAAI 2022 https://ojs.aaai.org/index.php/AAAI/article/view/20283

R2 v1 2026-06-24T10:23:04.518Z