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A new approach to solve open-partition problems

Author

Listed:
  • Huilan Chang

    (National Chiao Tung University
    Rutgers University)

  • Frank K. Hwang
  • Uriel G. Rothblum

    (Technion)

Abstract

A partition problem in one-dimensional space is to seek a partition of a set of numbers that maximizes a given objective function. In some partition problems, the partition size, i.e., the number of nonempty parts in a partition, is fixed; while in others, the size can vary arbitrarily. We call the former the size-partition problem and the latter the open-partition problem. In general, it is much harder to solve open problems since the objective functions depend on size. In this paper, we propose a new approach by allowing empty parts and transform the open problem into a size problem allowing empty parts, called a relaxed-size problem. While the sortability theory has been established in the literature as a powerful tool to attack size partition problems, we develop the sortability theory for relaxed-size problems as a medium to solve open problems.

Suggested Citation

  • Huilan Chang & Frank K. Hwang & Uriel G. Rothblum, 2012. "A new approach to solve open-partition problems," Journal of Combinatorial Optimization, Springer, vol. 23(1), pages 61-78, January.
    • Handle: RePEc:spr:jcomop:v:23:y:2012:i:1:d:10.1007_s10878-010-9341-7
    DOI: 10.1007/s10878-010-9341-7
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    References listed on IDEAS

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    1. S. Anily & A. Federgruen, 1991. "Structured Partitioning Problems," Operations Research, INFORMS, vol. 39(1), pages 130-149, February.
    2. Chakravarty, Amiya K., 1982. "Inventory grouping for joint replenishment," Engineering Costs and Production Economics, Elsevier, vol. 7(1), pages 19-24, July.
    3. A. K. Chakravarty & J. B. Orlin & U. G. Rothblum, 1982. "Technical Note—A Partitioning Problem with Additive Objective with an Application to Optimal Inventory Groupings for Joint Replenishment," Operations Research, INFORMS, vol. 30(5), pages 1018-1022, October.
    4. Shmuel Gal & Boris Klots, 1995. "Optimal Partitioning Which Maximizes the Sum of the Weighted Averages," Operations Research, INFORMS, vol. 43(3), pages 500-508, June.
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