Automated Symmetry Breaking and Model Selection in Conjure

Ozgur Akgun, Alan M Frisch, Ian Philip Gent, Bilal Syed Hussain, Christopher Anthony Jefferson, Lars Kotthoff, Ian James Miguel, Peter William Nightingale

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)

Abstract

Constraint modelling is widely recognised as a key bottleneck in applying constraint solving to a problem of interest. The Conjure automated constraint modelling system addresses this problem by automatically refining constraint models from problem specifications written in the Essence language. Essence provides familiar mathematical concepts like sets, functions and relations nested to any depth. To date, Conjure has been able to produce a set of alternative model kernels (i.e. without advanced features such as symmetry breaking or implied constraints) for a given specification. The first contribution of this paper is a method by which Conjure can break symmetry in a model as it is introduced by the modelling process. This works at the problem class level, rather than just individual instances, and does not require an expensive detection step after the model has been formulated. This allows Conjure to produce a higher quality set of models. A further limitation of Conjure has been the lack of a mechanism to select among the models it produces. The second contribution of this paper is to present two such mechanisms, allowing effective models to be chosen automatically.

Original languageEnglish
Title of host publicationCP 2013 - Principles and Practice of Constraint Programming, 19th International Conference
DOIs
Publication statusPublished - 2013

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