Constraint Integer Programming: a New Approach to Integrate CP and MIP

Please always quote using this URN: urn:nbn:de:0297-zib-10520
  • This article introduces constraint integer programming (CIP), which is a novel way to combine constraint programming (CP) and mixed integer programming (MIP) methodologies. CIP is a generalization of MIP that supports the notion of general constraints as in CP. This approach is supported by the CIP framework SCIP, which also integrates techniques from SAT solving. SCIP is available in source code and free for non-commercial use. We demonstrate the usefulness of CIP on two tasks. First, we apply the constraint integer programming approach to pure mixed integer programs. Computational experiments show that SCIP is almost competitive to current state-of-the-art commercial MIP solvers. Second, we employ the CIP framework to solve chip design verification problems, which involve some highly non-linear constraint types that are very hard to handle by pure MIP solvers. The CIP approach is very effective here: it can apply the full sophisticated MIP machinery to the linear part of the problem, while dealing with the non-linear constraints by employing constraint programming techniques.

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Metadaten
Author:Tobias Achterberg, Timo Berthold, Thorsten Koch, Kati Wolter
Document Type:ZIB-Report
Tag:Branch-And-Cut ; Chipverifikation; Constraint Programming ; Ganzzahlige Programmierung ; Optimierungssoftware
branch-and-cut ; chip verification; constraint programming ; mixed integer programming ; optimization software
MSC-Classification:65-XX NUMERICAL ANALYSIS / 65Kxx Mathematical programming, optimization and variational techniques / 65K05 Mathematical programming methods [See also 90Cxx]
90-XX OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING / 90Cxx Mathematical programming [See also 49Mxx, 65Kxx] / 90C11 Mixed integer programming
90-XX OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING / 90Cxx Mathematical programming [See also 49Mxx, 65Kxx] / 90C27 Combinatorial optimization
Date of first Publication:2008/01/04
Series (Serial Number):ZIB-Report (08-01)
ISSN:1438-0064
Published in:Appeared in: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 5th International Conference, CPAIOR 2008 (L. Perron und M. A. Trick, eds.), Lecture Notes in Computer Science, 5015, 2008, pp. 6–20

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