Computer Science – Artificial Intelligence
Scientific paper
2010-02-16
MtATL2009, Nantes : France (2009)
Computer Science
Artificial Intelligence
Scientific paper
Transforming constraint models is an important task in re- cent constraint programming systems. User-understandable models are defined during the modeling phase but rewriting or tuning them is manda- tory to get solving-efficient models. We propose a new architecture al- lowing to define bridges between any (modeling or solver) languages and to implement model optimizations. This architecture follows a model- driven approach where the constraint modeling process is seen as a set of model transformations. Among others, an interesting feature is the def- inition of transformations as concept-oriented rules, i.e. based on types of model elements where the types are organized into a hierarchy called a metamodel.
Chenouard Raphael
Granvilliers Laurent
Soto Ricardo
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