By Marie Pelleau
Constraint Programming goals at fixing challenging combinatorial difficulties, with a computation time expanding in perform exponentially. The tools are this day effective sufficient to resolve huge business difficulties, in a known framework. besides the fact that, solvers are devoted to a unmarried variable variety: integer or genuine. fixing combined difficulties depends on advert hoc differences. In one other box, summary Interpretation bargains instruments to end up application homes, through learning an abstraction in their concrete semantics, that's, the set of attainable values of the variables in the course of an execution. numerous representations for those abstractions were proposed. they're referred to as summary domain names. summary domain names can combine any form of variables, or even characterize family members among the variables.
In this paintings, we outline summary domain names for Constraint Programming, on the way to construct a commonly used fixing process, facing either integer and actual variables. We additionally examine the octagons summary area, already outlined in summary Interpretation. Guiding the quest by way of the octagonal kin, we receive solid effects on a continual benchmark. We additionally outline our fixing approach utilizing summary Interpretation suggestions, with a view to contain current summary domain names. Our solver, AbSolute, is ready to remedy combined difficulties and use relational domains.
- Exploits the over-approximation ways to combine AI instruments within the tools of CP
- Exploits the relationships captured to resolve non-stop difficulties extra effectively
- Learn from the builders of a solver in a position to dealing with virtually all summary domains
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Abstract Domains in Constraint Programming by Marie Pelleau