Conjunto: constraint logic programming with finite set domains
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The OPL optimization programming language
The OPL optimization programming language
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The design of ESSENCE: a constraint language for specifying combinatorial problems
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Abstraction and reformulation in the generation of constraint models: extended abstract
SARA'07 Proceedings of the 7th International conference on Abstraction, reformulation, and approximation
Tailoring solver-independent constraint models: a case study with ESSENCE' and MINION
SARA'07 Proceedings of the 7th International conference on Abstraction, reformulation, and approximation
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SARA'05 Proceedings of the 6th international conference on Abstraction, Reformulation and Approximation
PADL'07 Proceedings of the 9th international conference on Practical Aspects of Declarative Languages
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IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Many and diverse combinatorial problems have been solved successfully using finite-domain constraint programming. However, to apply constraint programming to a particular domain, the problem must first be modelled as a constraint satisfaction or optimisation problem. Since constraints provide a rich language, typically many alternative models exist. Formulating a good model therefore requires a great deal of expertise. This paper describes CONJURE, a system that refines a specification of a problem in the abstract constraint specification language ESSENCE into a set of alternative constraint models. Refinement is compositional: alternative constraint models are generated by composing refinements of the components of the specification. Experimental results demonstrate that CONJURE is able to generate a variety of models for practical problems from their ESSENCE specifications.