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An exact algorithm for the Knapsack Problem with Setup

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  • Yanchun Yang
  • Robert L. Bulfin

Abstract

In this paper we studies a 0-1 Knapsack Problem with Setup (KPS). One set of 0-1 variables represent a family setup and serve as an Upper Bound (UB) on another set of 0-1 variables representing production of a job in a family. We present a branch-and-bound algorithm to find an optimal solution to KPS. The algorithm uses a two-stage branching strategy and chooses the next candidate problem to explore in a non-traditional way. We verify the efficacy of the algorithm through computational testing. This is the first time that an exact algorithm given to KPS with 10,000 integer variables. Computational experiments show that this algorithm is especially effective when objective and constraint coefficients are uncorrelated.

Suggested Citation

  • Yanchun Yang & Robert L. Bulfin, 2009. "An exact algorithm for the Knapsack Problem with Setup," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 5(3), pages 280-291.
    • Handle: RePEc:ids:ijores:v:5:y:2009:i:3:p:280-291
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    Cited by:

    1. He, Yichao & Wang, Jinghong & Liu, Xuejing & Wang, Xizhao & Ouyang, Haibin, 2024. "Modeling and solving of knapsack problem with setup based on evolutionary algorithm," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 219(C), pages 378-403.

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