• DocumentCode
    239411
  • Title

    A Lagrangian and surrogate information enhanced tabu search for the MMKP

  • Author

    Htiouech, Skander ; Bouamama, Sadok

  • Author_Institution
    Nat. Eng. Sch. of Tunis, Sys-com, Tunis, Tunisia
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    1461
  • Lastpage
    1468
  • Abstract
    The multidimensional multi-choice knapsack problem (MMKP) is NP-hard. Within the framework of solving this problem, we suggest newer approaches. We not only propose a multi-starts version of our previous works approach using surrogate constraint informations based choices [31][32], but also we introduce another newer heuristic. The latter uses Lagrangian relaxation informations in place of surrogate informations. Compared with other literature known methods described so far, our approaches experimentations results are competitive.
  • Keywords
    computational complexity; knapsack problems; search problems; Lagrangian information enhanced tabu search; Lagrangian relaxation informations; MMKP; NP-hard; multidimensional multichoice knapsack problem; surrogate constraint information based choices; surrogate information enhanced tabu search; Dynamic programming; Heuristic algorithms; Linear programming; Oscillators; Partitioning algorithms; Upper bound; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2014 IEEE Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6626-4
  • Type

    conf

  • DOI
    10.1109/CEC.2014.6900649
  • Filename
    6900649