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Artelys Kalis - Constraint Programming

Constraint programming combines innovations from several fields: operations research, artificial intelligence, discrete mathematics and graph theory.

Variables of constraint programming problems are described by the sets of their possible values, called domains. Constraints then restrict these sets of possible values. Constraints can be arithmetical, linear, logical or semantic.

The constraint programming system automatically deduces (propagates) the possible or impossible values for every variable from the constraint expressions. A tree structure completes this propagation mechanism in order to find either every possible solution or the optimal one, with respect to some criterion.

To know more about constraint programming

 

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