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Sensitivity analysis of the knapsack problem: Tighter lower and upper bound limits

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An Erratum to this article was published on 17 December 2008

Abstract

In this paper, we study the sensitivity of the optimum of the knapsack problem to the perturbation of the profit of a subset of items. We propose a polynomial heuristic in order to establish both lower and upper bound limits of the sensitivity interval. The aim is to stabilize any given optimal solution obtained by applying any exact algorithm. We then evaluate the effectiveness of the proposed solution procedure on an example and a set of randomly generated problem instances.

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References

  1. Belgacem, T. & Hifi, M. (2006). Analyse de la sensibilité de l’optimum pour le problème du knapsack: perturbation de plusieurs profits. 7-ième Congrés de la ROADEF, Lille, France

  2. Belgacem, T. & Hifi, M. (2007). Sensitivity analysis of the optimum to perturbation of the profit of a subset of items in the binary knapsack problem. Working Paper, CES, Equipe CERMSEM, Université Paris 1, France

  3. Belgacem, T. & Hifi, M. (2008). Sensitivity analysis of the knapsack sharing problem: perturbation of the weight of an item. Computers and Operations Research, 35: 295–308

    Article  MATH  MathSciNet  Google Scholar 

  4. Blair, C. (1998). Sensitivity analysis of knapsack problems: a negative result. Discrete Applied Mathematics, 81: 133–139

    Article  MATH  MathSciNet  Google Scholar 

  5. Dantzig, G.B. (1957). Discrete variable extremum problems. Operations Research, 5: 266–277

    Article  MathSciNet  Google Scholar 

  6. Ghosh, D., Charkravarti, D. & Sierksma, G. (2006). Sensitivity analysis of a greedy heuristic for knapsack problems. European Journal of Operational Research, 169: 340–350

    Article  MATH  MathSciNet  Google Scholar 

  7. Gilmore, P.C. & Gomory, R.E. (1966). The theory and computation of knapsack functions. Operations Research, 13: 879–919

    MathSciNet  Google Scholar 

  8. Greenberg, H.J. (1998). An annotated bibliography for post-solution analysis in mixed integer programming and combinatorial optimization. In: Woodruff D.L. (eds.), Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search, pp. 97–148. Kluwer Academic Publishers

  9. Hifi, M., Mhalla, H. & Sadfi, S. (2005). Sensitivity of the optimum to perturbations of the profit or weight of an item in the binary knapsack problem. Journal of Combinatorial Optimization, 10: 239–260

    Article  MATH  MathSciNet  Google Scholar 

  10. Hifi, M., Mhalla, H. & Sadfi, S. (2004). Adaptive algorithms for the knapsack problem: perturbation of an arbitrary item. Working Paper, CERMSEM-CNRS UMR 8095, MSE, Université Paris 1

  11. Kellerer, H., Pferschy, U. & Pisinger, D. (2004). Knapsack Problems. Springer Verlag, Berlin

    MATH  Google Scholar 

  12. Martello, S. & Toth, P. (1977). An upper bound for the zero-one knapsack problem and a branch and bound algorithm. European Journal of Operational Research, 1: 169–175

    Article  MATH  MathSciNet  Google Scholar 

  13. Nauss, R. (1979). Parametric Integer Programming. University of Missouri Press, Columbia, Missouri

    MATH  Google Scholar 

  14. Pisinger, D. (1999). Core problems in knapsack algorithms. Operations Research, 47: 570–575

    Article  MATH  MathSciNet  Google Scholar 

  15. Woeginger, G.J. (1999). Sensitivity analysis for knapsack problems: another negative result. Discrete Applied Mathematics, 92: 247–251

    Article  MATH  MathSciNet  Google Scholar 

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Correspondence to Mhand Hifi.

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The original version was presented on ICSSSM’06. The authors are listed in alphabetical order.

Mhand Hifi is Professor of Computer Science and Operations Research in the University of Picardie Jules Verne, Amiens, France. He got his B.S. in Computer Engineering and Operations Research from USTHB, Algiers, Algeria. He got his M.S. in Modelling and Mathematical Methods in Economics from the University of Paris 1 Pantheon-Sorbonne. He got his Ph.D. in Computer Science from the University of Paris 1 and his HDR thesis from the University of Versailles St Quentin en Yvelines. His research interest is NP Hard combinatorial optimization (sequential and parallel approaches) applied to cutting, packing, knapsacking and other OR problems.

Tarik Belgacem got his PhD in Computer Science from the University of Paris 1 Pantheon-Sorbonne. He received his B.S. in Mathematics at the University of Mostaganem, Algeria. He got his M.S. in Discrete Mathematics and Computer Science from the University of Paris 1 Panteon-Sorbonne. His research interest is Combinatorial Optimization.

An erratum to this article can be found online at http://dx.doi.org/10.1007/s11518-008-5089-3.

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Belgacem, T., Hifi, M. Sensitivity analysis of the knapsack problem: Tighter lower and upper bound limits. J. Syst. Sci. Syst. Eng. 17, 156–170 (2008). https://doi.org/10.1007/s11518-008-5073-y

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