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.

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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

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article

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

Sung‐Mo Kang, Kyungsik Lee, Seulgi Joung, Junyoung Kim
Optimization Letters
Optimization and Packing Problems
article

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

Sung‐Mo Kang, Kyungsik Lee, Seulgi Joung, Junyoung Kim
article en

Abstract

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.

Optimization LettersVol. 19(6)
Seoul National University (KR), Ajou University (KR), Myongji University (KR)
Seoul National University, National Research Foundation of Korea
Openalex Percentile: Top 69%
Optimization and Packing Problems
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Theoretical analysis of integer programming models for the two-dimensional two-staged knapsack problem — Sung‐Mo Kang, Kyungsik Lee, et al. · Optimization Letters (2024) | TGRS Research Map | TGRS