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A Local Search System for Solving Constraint Problems of Declarative Graph-Based Global Constraints
RISE, Swedish ICT, SICS.
2004 (English)In: Proceedings of the 15th International Conference on Applications of Declarative Programming and Knowledge Management, 2004, 1Conference paper, (Refereed)
Abstract [en]

In this paper we present a local search constraint solver in which constraints are expressed using cost functions on graph structures of filter constraints of equal type. A similar theoretical approach has previously been used to model a large number of complex global constraints, which motivates the use of such a model in practice. In a local search context, we view global constraints as complex cost functions, encapsulating the structure of the constraints using a graph of variables, values and filter constraints. This representation gives us a declarative model, which can also be used to efficiently compute a cost as well as conflict levels of the variables in the constraints. We have implemented these ideas in a compositional C++ framework called Composer, which can be used to solve systems of graph-based constraints. We demonstrate the usability of this approach on several well-known global constraints, and show by experimental results on two problems that an approach using a graph basis for global constraint modeling is not only possible in practice, but also competitive with existing constraint-based local search systems.

Place, publisher, year, edition, pages
2004, 1.
Series
LNCS, 3392
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-21189DOI: 10.1007/11415763_11OAI: oai:DiVA.org:ri-21189DiVA: diva2:1041223
Conference
15th International Conference on Applications of Declarative Programming and Knowledge Management
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2017-08-04Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Output format
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