Constraints for symmetry breaking in graph representation

Codish, M., Miller, A. , Prosser, P. and Stuckey, P. J. (2019) Constraints for symmetry breaking in graph representation. Constraints, 24(1), pp. 1-24. (doi: 10.1007/s10601-018-9294-5)

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Many complex combinatorial problems arising from a range of scientific applications (such as computer networks, mathematical chemistry and bioinformatics) involve searching for an undirected graph satisfying a given property. Since for any possible solution there can be a large number of isomorphic representations, these problems can quickly become intractable. One way to mitigate this problem is to eliminate as many isomorphic copies as possible by breaking symmetry during search - i.e. by introducing constraints that ensure that at least one representative graph is generated for each equivalence class, but not the entire class. The goal is to generate as few members of each class as possible - ideally exactly one: the symmetry break is said to be complete in this case. In this paper we introduce novel, effective and compact, symmetry breaking constraints for undirected graph search. While incomplete, these prove highly beneficial in pruning the search for a graph. We illustrate the application of symmetry breaking in graph representation to resolve several open instances in extremal graph theory. We also illustrate the application of our approach to graph edge coloring problems which exhibit additional symmetries due to the fact that the colors of the edges in any solution can be permuted.

Item Type:Articles
Additional Information:Codish was supported by the Israel Science Foundation grant 625/17.
Glasgow Author(s) Enlighten ID:Miller, Professor Alice and Prosser, Dr Patrick
Authors: Codish, M., Miller, A., Prosser, P., and Stuckey, P. J.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Constraints
Publisher:Springer Verlag
ISSN (Online):1572-9354
Published Online:25 August 2018
Copyright Holders:Copyright © 2018 The Authors
First Published:First published in Constraints 24(1):1-24
Publisher Policy:Reproduced under a Creative Commons License

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