The Benefits of Global Constraints for the Integration of Constraint Programming and Integer Programming
نویسندگان
چکیده
Efforts aimed at combining Operations Research and Constraint Programming have become increasingly prominent and successful in the last few years. It is now widely recognized that integrating inference in the form of constraint propagation and relaxation in the form of linear programming can yield substantial results. In this paper we argue the benefits of global constraints as a basis for such an integration. We demonstrate the advantages of modeling with global constraints, explain their operational benefits and illustrate this with a series of case studies.
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تاریخ انتشار 2000