Theoretical analysis of integer programming models for the two-dimensional two-staged knapsack problem
Abstract 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.
Authors
- Sung‐Mo Kang (ORCID: https://orcid.org/0000-0001-6321-6659)
- Kyungsik Lee
- Seulgi Joung (ORCID: https://orcid.org/0000-0001-7608-2266)
- Junyoung Kim (ORCID: https://orcid.org/0000-0001-9403-3927)
Institutions
- Seoul National University (KR)
- Ajou University (KR)
- Myongji University (KR)
Publication Details
- Journal
- Optimization Letters
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1007/s11590-024-02164-3
- Primary Topic
- Optimization and Packing Problems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Seoul National University
- National Research Foundation of Korea