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Program Does Not Equal Program: Constraint Programming and Its Relationship to Mathematical Programming

Author

Listed:
  • Irvin J. Lustig

    (ILOG, 1080 Linda Vista Avenue, Mountain View, California 94043)

  • Jean-François Puget

    (ILOG, 9 rue Verdun, BP 85, Gentilly Cedex, France)

Abstract

Arising from research in the computer science community, constraint programming is a fairly new technique for solving optimization problems. For those familiar with mathematical programming, a number of language barriers make it difficult to understand the concepts of constraint programming. In this short tutorial on constraint programming, we explain how it relates to familiar mathematical programming concepts and how constraint programming and mathematical programming technologies are complementary. We assume a minimal background in linear and integer programming.

Suggested Citation

  • Irvin J. Lustig & Jean-François Puget, 2001. "Program Does Not Equal Program: Constraint Programming and Its Relationship to Mathematical Programming," Interfaces, INFORMS, vol. 31(6), pages 29-53, December.
    • Handle: RePEc:inm:orinte:v:31:y:2001:i:6:p:29-53
    DOI: 10.1287/inte.31.6.29.9647
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    References listed on IDEAS

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    1. E. L. Lawler & D. E. Wood, 1966. "Branch-and-Bound Methods: A Survey," Operations Research, INFORMS, vol. 14(4), pages 699-719, August.
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    Cited by:

    1. Roberto Rossi & S. Armagan Tarim & Brahim Hnich & Steven Prestwich & Semra Karacaer, 2010. "Scheduling internal audit activities: a stochastic combinatorial optimization problem," Journal of Combinatorial Optimization, Springer, vol. 19(3), pages 325-346, April.
    2. Theresa M. Roeder & Robert M. Saltzman, 2014. "Schedule-Based Group Assignment Using Constraint Programming," INFORMS Transactions on Education, INFORMS, vol. 14(2), pages 63-72, February.
    3. Anthony Han & Elvis Li, 2014. "A constraint programming-based approach to the crew scheduling problem of the Taipei mass rapid transit system," Annals of Operations Research, Springer, vol. 223(1), pages 173-193, December.
    4. Luscombe, Ruth & Kozan, Erhan, 2016. "Dynamic resource allocation to improve emergency department efficiency in real time," European Journal of Operational Research, Elsevier, vol. 255(2), pages 593-603.
    5. Unsal, Ozgur & Oguz, Ceyda, 2019. "An exact algorithm for integrated planning of operations in dry bulk terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 103-121.
    6. Tarim, S. Armagan & Smith, Barbara M., 2008. "Constraint programming for computing non-stationary (R, S) inventory policies," European Journal of Operational Research, Elsevier, vol. 189(3), pages 1004-1021, September.
    7. Enayaty-Ahangar, Forough & Rainwater, Chase E. & Sharkey, Thomas C., 2019. "A Logic-based Decomposition Approach for Multi-Period Network Interdiction Models," Omega, Elsevier, vol. 87(C), pages 71-85.
    8. Robert M. Saltzman & Jennifer L. Meyer, 2004. "A Consulting Firm Uses Constraint Programming to Plan Personnel-Review Meetings," Interfaces, INFORMS, vol. 34(2), pages 106-112, April.
    9. Cao, Nguyen Vi & Fragnière, Emmanuel & Gauthier, Jacques-Antoine & Sapin, Marlène & Widmer, Eric D., 2010. "Optimizing the marriage market: An application of the linear assignment model," European Journal of Operational Research, Elsevier, vol. 202(2), pages 547-553, April.
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    11. Alexandra M. Newman & Martin Weiss, 2013. "A Survey of Linear and Mixed-Integer Optimization Tutorials," INFORMS Transactions on Education, INFORMS, vol. 14(1), pages 26-38, September.
    12. Alfieri, A. & Bianco, A. & Brandimarte, P. & Chiasserini, C.F., 2007. "Maximizing system lifetime in wireless sensor networks," European Journal of Operational Research, Elsevier, vol. 181(1), pages 390-402, August.
    13. Boysen, Nils & Fliedner, Malte & Scholl, Armin, 2009. "Sequencing mixed-model assembly lines: Survey, classification and model critique," European Journal of Operational Research, Elsevier, vol. 192(2), pages 349-373, January.
    14. Paul A Chircop & Timothy J Surendonk, 2019. "Constraint programming heuristics and software tools for amphibious embarkation planning," The Journal of Defense Modeling and Simulation, , vol. 16(3), pages 233-254, July.
    15. Yannis Pavlis & Will Recker, 2009. "A Mathematical Logic Approach for the Transformation of the Linear Conditional Piecewise Functions of Dispersion-and-Store and Cell Transmission Traffic Flow Models into Linear Mixed-Integer Form," Transportation Science, INFORMS, vol. 43(1), pages 98-116, February.
    16. Unsal, Ozgur & Oguz, Ceyda, 2013. "Constraint programming approach to quay crane scheduling problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 59(C), pages 108-122.
    17. Bocca, Felipe Ferreira & Rodrigues, Luiz Henrique Antunes & Arraes, Nilson Antonio Modesto, 2015. "When do I want to know and why? Different demands on sugarcane yield predictions," Agricultural Systems, Elsevier, vol. 135(C), pages 48-56.

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