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Theoretical analysis of integer programming models for the two-dimensional two-staged knapsack problem

  • Suho Kang,
  • Junyoung Kim,
  • Seulgi Joung,
  • Kyungsik Lee

摘要

In this study, we theoretically compare integer programming models for the two-dimensional two-staged knapsack problem. Including the well-known level packing model, we introduce two pattern-based models called the strip packing model and the staged pattern model derived from integer programming models for the two-dimensional two-staged cutting stock problem. We show that the level packing model provides weaker linear programming (LP) relaxation bounds than pattern-based models. Furthermore, we also present upper bounds on the LP-relaxation bound of the level packing model, which can be obtained from the LP-relaxation bounds of the pattern-based models.