By Marie Pelleau
Constraint Programming goals at fixing not easy combinatorial difficulties, with a computation time expanding in perform exponentially. The tools are at the present time effective sufficient to resolve huge business difficulties, in a wide-spread framework. although, solvers are devoted to a unmarried variable sort: integer or actual. fixing combined difficulties is determined by advert hoc differences. In one other box, summary Interpretation deals instruments to turn out application houses, via 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 known as summary domain names. summary domain names can combine any form of variables, or even signify kinfolk among the variables.
In this paintings, we outline summary domain names for Constraint Programming, in an effort to construct a usual fixing approach, facing either integer and genuine variables. We additionally examine the octagons summary area, already outlined in summary Interpretation. Guiding the quest by way of the octagonal kinfolk, we receive reliable effects on a continual benchmark. We additionally outline our fixing process utilizing summary Interpretation ideas, that allows you to comprise latest summary domain names. Our solver, AbSolute, is ready to remedy combined difficulties and use relational domains.
- Exploits the over-approximation the way to combine AI instruments within the equipment of CP
- Exploits the relationships captured to unravel non-stop difficulties extra effectively
- Learn from the builders of a solver in a position to dealing with essentially all summary domains
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Abstract Domains in Constraint Programming by Marie Pelleau