Theoretical investigations on the modified integer round-up property for the one-dimensional cutting stock problem
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Publication:1376328
DOI10.1016/S0167-6377(96)00047-8zbMath0890.90147WikidataQ127089135 ScholiaQ127089135MaRDI QIDQ1376328
Guntram Scheithauer, Johannes Terno
Publication date: 17 December 1997
Published in: Operations Research Letters (Search for Journal in Brave)
Related Items (15)
Families of non-IRUP instances of the one-dimensional cutting stock problem ⋮ A Fast Approximation Scheme for the Multiple Knapsack Problem ⋮ Bin packing and cutting stock problems: mathematical models and exact algorithms ⋮ Approximation and online algorithms for multidimensional bin packing: a survey ⋮ On the bin packing problem with a fixed number of object weights ⋮ Large proper gaps in bin packing and dual bin packing problems ⋮ Nested \((2,3)\)-instances of the cutting stock problem ⋮ Tighter relaxations for the cutting stock problem ⋮ Better Bin Packing Approximations via Discrepancy Theory ⋮ A New Branch-and-Price-and-Cut Algorithm for One-Dimensional Bin-Packing Problems ⋮ About the Structure of the Integer Cone and Its Application to Bin Packing ⋮ Solving robust bin-packing problems with a branch-and-price approach ⋮ The one-dimensional cutting stock problem with due dates ⋮ A branch-and-price algorithm for the temporal bin packing problem ⋮ Minimal proper non-IRUP instances of the one-dimensional cutting stock problem
Cites Work
- An instance of the cutting stock problem for which the rounding property does not hold
- The modified integer round-up property of the one-dimensional cutting stock problem
- CUTGEN1: A problem generator for the standard one-dimensional cutting stock problem
- A Linear Programming Approach to the Cutting-Stock Problem
- Integer Rounding for Polymatroid and Branching Optimization Problems
- The cutting stock problem and integer rounding
- Modeling of packing problems
- Performance Bounds for Level-Oriented Two-Dimensional Packing Algorithms
- Maximizing Submodular Set Functions: Formulations and Analysis of Algorithms
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