Parameterised Treewidth for Constraint Modelling Languages

Constraint programming is a widely used paradigm to solve combinatorial problems. High-level constraint modelling languages, such as MiniZinc, GAMS, OPL, and AMPL, encourage the separation of instance parameters and models, where the number of variables and constraints depend on values of instance parameters. This paper investigates an extension of treewidth suitable for studying the complexity high-level constraint models.

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Published
2024-10-28
DOI
https://doi.org/10.1109/ictai62512.2024.00015
Primary Topic
Constraint Satisfaction and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Parameterised Treewidth for Constraint Modelling Languages

Justin Pearson
Constraint Satisfaction and Optimization
article

Parameterised Treewidth for Constraint Modelling Languages

Justin Pearson
article en

Abstract

Constraint programming is a widely used paradigm to solve combinatorial problems. High-level constraint modelling languages, such as MiniZinc, GAMS, OPL, and AMPL, encourage the separation of instance parameters and models, where the number of variables and constraints depend on values of instance parameters. This paper investigates an extension of treewidth suitable for studying the complexity high-level constraint models.

Uppsala University (SE)
Swedish e-Science Research Centre
Openalex Percentile: Top 69%
Constraint Satisfaction and Optimization
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Parameterised Treewidth for Constraint Modelling Languages — Justin Pearson · (2024) | TGRS Research Map | TGRS