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The Quadratic Multiknapsack Problem with Conflicts and Balance Constraints

Author

Listed:
  • Philippe Olivier

    (Polytechnique Montréal, Montréal, Québec H3J 3A7, Canada)

  • Andrea Lodi

    (Polytechnique Montréal, Montréal, Québec H3J 3A7, Canada)

  • Gilles Pesant

    (Polytechnique Montréal, Montréal, Québec H3J 3A7, Canada)

Abstract

The quadratic multiknapsack problem consists of packing a set of items of various weights into knapsacks of limited capacities with profits being associated with pairs of items packed into the same knapsack. This problem has been solved by various heuristics since its inception, and more recently it has also been solved with an exact method. We introduce a generalization of this problem that includes pairwise conflicts as well as balance constraints, among other particularities. We present and compare constraint programming and integer programming approaches for solving this generalized problem. Summary of Contribution : The quadratic multiknapsack problem consists of packing a set of items of various weights into knapsacks of limited capacities -- with profits being associated with pairs of items packed into the same knapsack. This problem has been solved by various heuristics since its inception, and more recently it has also been solved with an exact method. We introduce a generalization of this problem which includes pairwise conflicts as well as balance constraints, among other particularities. We present and compare constraint programming and integer programming approaches for solving this generalized problem. The problem we address is clearly in the core of the operations research applications in which subsets have to be built and, in particular, we add the concept of fairness to the modeling and solution process by computationally evaluating techniques to take fairness into account. This is clearly at the core of computational evaluation of algorithms.

Suggested Citation

  • Philippe Olivier & Andrea Lodi & Gilles Pesant, 2021. "The Quadratic Multiknapsack Problem with Conflicts and Balance Constraints," INFORMS Journal on Computing, INFORMS, vol. 33(3), pages 949-962, July.
  • Handle: RePEc:inm:orijoc:v:33:y:2021:i:3:p:949-962
    DOI: 10.1287/ijoc.2020.0983
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    References listed on IDEAS

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    1. Rhyd Lewis & Fiona Carroll, 2016. "Creating seating plans: a practical application," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(11), pages 1353-1362, November.
    2. Ruslan Sadykov & François Vanderbeck, 2013. "Bin Packing with Conflicts: A Generic Branch-and-Price Algorithm," INFORMS Journal on Computing, INFORMS, vol. 25(2), pages 244-255, May.
    3. David Bergman, 2019. "An Exact Algorithm for the Quadratic Multiknapsack Problem with an Application to Event Seating," INFORMS Journal on Computing, INFORMS, vol. 31(3), pages 477-492, July.
    4. Natashia Boland & Hadi Charkhgard & Martin Savelsbergh, 2015. "A Criterion Space Search Algorithm for Biobjective Integer Programming: The Balanced Box Method," INFORMS Journal on Computing, INFORMS, vol. 27(4), pages 735-754, November.
    5. C Mullinax & M Lawley, 2002. "Assigning patients to nurses in neonatal intensive care," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(1), pages 25-35, January.
    6. Gilles Pesant, 2015. "Achieving Domain Consistency and Counting Solutions for Dispersion Constraints," INFORMS Journal on Computing, INFORMS, vol. 27(4), pages 690-703, November.
    7. Natashia Boland & Hadi Charkhgard & Martin Savelsbergh, 2015. "A Criterion Space Search Algorithm for Biobjective Mixed Integer Programming: The Triangle Splitting Method," INFORMS Journal on Computing, INFORMS, vol. 27(4), pages 597-618, November.
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