By Marie Pelleau
Constraint Programming goals at fixing challenging combinatorial difficulties, with a computation time expanding in perform exponentially. The tools are at the present time effective sufficient to unravel huge business difficulties, in a favourite framework. notwithstanding, solvers are devoted to a unmarried variable variety: integer or genuine. fixing combined difficulties is dependent upon advert hoc variations. In one other box, summary Interpretation bargains instruments to end up software 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. a number of 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, in an effort to construct a normal fixing technique, facing either integer and genuine variables. We additionally examine the octagons summary area, already outlined in summary Interpretation. Guiding the quest by means of the octagonal relatives, we receive sturdy effects on a continuing benchmark. We additionally outline our fixing process utilizing summary Interpretation recommendations, with a purpose to contain current summary domain names. Our solver, AbSolute, is ready to clear up 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 able to dealing with essentially all summary domains
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Abstract Domains in Constraint Programming by Marie Pelleau