English

Pruning Isomorphic Structural Sub-problems in Configuration

Artificial Intelligence 2007-05-23 v1

Abstract

Configuring consists in simulating the realization of a complex product from a catalog of component parts, using known relations between types, and picking values for object attributes. This highly combinatorial problem in the field of constraint programming has been addressed with a variety of approaches since the foundation system R1(McDermott82). An inherent difficulty in solving configuration problems is the existence of many isomorphisms among interpretations. We describe a formalism independent approach to improve the detection of isomorphisms by configurators, which does not require to adapt the problem model. To achieve this, we exploit the properties of a characteristic subset of configuration problems, called the structural sub-problem, which canonical solutions can be produced or tested at a limited cost. In this paper we present an algorithm for testing the canonicity of configurations, that can be added as a symmetry breaking constraint to any configurator. The cost and efficiency of this canonicity test are given.

Keywords

Cite

@article{arxiv.cs/0306135,
  title  = {Pruning Isomorphic Structural Sub-problems in Configuration},
  author = {Stephane Grandcolas and Laurent Henocque and Nicolas Prcovic},
  journal= {arXiv preprint arXiv:cs/0306135},
  year   = {2007}
}

Comments

This research report contains the proofs and full details missing from the short paper "A Canonicity Test for Configuration" in proceedings of conference CP'03