• DocumentCode
    1672726
  • Title

    Lexicographic α-Robust Knapsack Problem : Complexity Results

  • Author

    Kalaï, Rim ; Vanderpooten, Daniel

  • Author_Institution
    LAMSADE, Paris-Dauphine Univ., Paris
  • Volume
    2
  • fYear
    2006
  • Firstpage
    1103
  • Lastpage
    1107
  • Abstract
    The knapsack problem is a classical combinatorial problem used to model many industrial situations. Faced with uncertainty on the model parameters, robustness analysis is an appropriate approach to find reliable solutions. The robust knapsack problem was studied in the literature using a max-min criterion. In this paper, we show the drawbacks of this criterion and propose a new robustness approach, called lexicographic α-robustness. We show that the complexity of the lexicographic α-robust problem does not increase compared with the max-min version and present a pseudo-polynomial algorithm in the case of a bounded number of scenarios.
  • Keywords
    combinatorial mathematics; computational complexity; estimation theory; knapsack problems; minimax techniques; combinatorial problem; industrial situations; lexicographic alpha-robust knapsack problem; max-min criterion; pseudo-polynomial algorithm; Advertising; Computer applications; Costs; Investments; Minimax techniques; Portfolios; Production; Research and development; Robustness; Uncertainty; 0-1 Knapsack problem; Complexity; Lexicographic ¿-robustness; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management, 2006 International Conference on
  • Conference_Location
    Troyes
  • Print_ISBN
    1-4244-0450-9
  • Electronic_ISBN
    1-4244-0451-7
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2006.320662
  • Filename
    4114644