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A Mixture of Dynamic Programming and Branch-and-Bound for the Subset-Sum Problem

Author

Listed:
  • Silvano Martello

    (Istituto di Automatica, University of Bologna, Bologna, Italy)

  • Paolo Toth

    (Istituto di Informatica e Sistemistica, University of Firenze, Firenze, Italy)

Abstract

Given n items, each having a weight w i , and a container of capacity W, the Subset-Sum Problem (SSP) is to select a subset of the items whose total weight is closest to, without exceeding, W. The paper presents a mixed approach (depth first search-dynamic programming) to the exact solution of the problem. An extensive computational experience is presented, comparing the proposed algorithm with that of Ahrens-Finke, as well as with the Balas-Zemel algorithm for large problems. Both "easy" and "hard" problems with values of n up to 10,000 are considered.

Suggested Citation

  • Silvano Martello & Paolo Toth, 1984. "A Mixture of Dynamic Programming and Branch-and-Bound for the Subset-Sum Problem," Management Science, INFORMS, vol. 30(6), pages 765-771, June.
    • Handle: RePEc:inm:ormnsc:v:30:y:1984:i:6:p:765-771
    DOI: 10.1287/mnsc.30.6.765
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    Citations

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    Cited by:

    1. Gérard Cornuéjols & Milind Dawande, 1999. "A Class of Hard Small 0-1 Programs," INFORMS Journal on Computing, INFORMS, vol. 11(2), pages 205-210, May.
    2. Toth, Paolo, 2000. "Optimization engineering techniques for the exact solution of NP-hard combinatorial optimization problems," European Journal of Operational Research, Elsevier, vol. 125(2), pages 222-238, September.
    3. Soma, Nei Yoshihiro & Toth, Paolo, 2002. "An exact algorithm for the subset sum problem," European Journal of Operational Research, Elsevier, vol. 136(1), pages 57-66, January.
    4. Silvano Martello & David Pisinger & Paolo Toth, 1999. "Dynamic Programming and Strong Bounds for the 0-1 Knapsack Problem," Management Science, INFORMS, vol. 45(3), pages 414-424, March.
    5. Nicholas G. Hall & Marc E. Posner, 2007. "Performance Prediction and Preselection for Optimization and Heuristic Solution Procedures," Operations Research, INFORMS, vol. 55(4), pages 703-716, August.
    6. Dahmani, Isma & Hifi, Mhand & Wu, Lei, 2016. "An exact decomposition algorithm for the generalized knapsack sharing problem," European Journal of Operational Research, Elsevier, vol. 252(3), pages 761-774.
    7. Yang Yang, 2024. "An Improved Unbounded-DP Algorithm for the Unbounded Knapsack Problem with Bounded Coefficients," Mathematics, MDPI, vol. 12(12), pages 1-12, June.
    8. Kellerer, Hans & Mansini, Renata & Speranza, Maria Grazia, 2000. "Two linear approximation algorithms for the subset-sum problem," European Journal of Operational Research, Elsevier, vol. 120(2), pages 289-296, January.

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