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Global Optimality Conditions and Optimization Methods for Quadratic Knapsack Problems

Author

Listed:
  • Z. Y. Wu

    (University of Ballarat)

  • Y. J. Yang

    (Shanghai University)

  • F. S. Bai

    (University of Ballarat)

  • M. Mammadov

    (University of Ballarat)

Abstract

The quadratic knapsack problem (QKP) maximizes a quadratic objective function subject to a binary and linear capacity constraint. Due to its simple structure and challenging difficulty, it has been studied intensively during the last two decades. This paper first presents some global optimality conditions for (QKP), which include necessary conditions and sufficient conditions. Then a local optimization method for (QKP) is developed using the necessary global optimality condition. Finally a global optimization method for (QKP) is proposed based on the sufficient global optimality condition, the local optimization method and an auxiliary function. Several numerical examples are given to illustrate the efficiency of the presented optimization methods.

Suggested Citation

  • Z. Y. Wu & Y. J. Yang & F. S. Bai & M. Mammadov, 2011. "Global Optimality Conditions and Optimization Methods for Quadratic Knapsack Problems," Journal of Optimization Theory and Applications, Springer, vol. 151(2), pages 241-259, November.
    • Handle: RePEc:spr:joptap:v:151:y:2011:i:2:d:10.1007_s10957-011-9885-4
    DOI: 10.1007/s10957-011-9885-4
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    References listed on IDEAS

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