By Marie Pelleau
Constraint Programming goals at fixing difficult 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. although, solvers are devoted to a unmarried variable kind: integer or genuine. fixing combined difficulties depends upon advert hoc alterations. In one other box, summary Interpretation bargains instruments to end up application houses, by means of learning an abstraction in their concrete semantics, that's, the set of attainable values of the variables in the course of an execution. quite a few 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 symbolize relatives among the variables.
In this paintings, we outline summary domain names for Constraint Programming, in order to construct a known fixing technique, facing either integer and actual variables. We additionally research 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 strategy utilizing summary Interpretation suggestions, in an effort to contain latest summary domain names. Our solver, AbSolute, is ready to resolve combined difficulties and use relational domains.
- Exploits the over-approximation ways 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 virtually all summary domains
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Abstract Domains in Constraint Programming by Marie Pelleau