AbstractH. Xu, S. Koenig and S. Kumar. A Constraint Composite Graph-Based ILP Encoding of the Boolean Weighted CSP. In Proceedings of the International Conference on Principles and Practice of Constraint Programming (CP), pages (in print), 2017.
Abstract: The weighted constraint satisfaction problem (WCSP) occurs in the crux of many real-world applications of operations research, artificial intelligence, bioinformatics, etc. Despite its importance as a combinatorial substrate, many attempts for building an efficient WCSP solver have been largely unsatisfactory. In this paper, we introduce a new method for encoding a (Boolean) WCSP instance as an integer linear program (ILP). This encoding is based on the idea of the constraint composite graph (CCG) associated with a WCSP instance. We show that our CCG-based ILP encoding of the Boolean WCSP is significantly more efficient than previously known ILP encodings. Theoretically, we show that the CCG-based ILP encoding has a number of interesting properties. Empirically, we show that it allows us to solve many hard Boolean WCSP instances that cannot be solved by ILP solvers with previously known ILP encodings.
Download the paper in pdf.
Many publishers do not want authors to make their papers available electronically after the papers have been published. Please use the electronic versions provided here only if hardcopies are not yet available. If you have comments on any of these papers, please send me an email! Also, please send me your papers if we have common interests.
This page was automatically created by a bibliography maintenance system that was developed as part of an undergraduate research project, advised by Sven Koenig.