One-Dimensional Heuristics Adapted for Two-Dimensional Rectangular Strip Packing
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
We consider two-dimensional rectangular strip packing without rotation of items and without the guillotine cutting constraint. We propose two iterative heuristics. The first one, SVC(SubKP), is based on a single-pass heuristic SubKP which fills every most bottom-left free space in a one-dimensional knapsack fashion, that is, considering only item widths. It appears especially important to assign suitable ‘pseudo-profits’ in this knapsack problem. The second heuristic BS(BLR) is based on the known randomized framework Bubble-Search. It generates different item sequences and runs a new sequence-based heuristic Bottom-Left-Right (BLR), a simple modification of the Bottom-Left heuristic. We investigate the solution sets of SubKP and BLR and their relation to each other. In the tests, SVC(SubKP) improves the results for larger instances of the waste-free classes of Hopper and Turton and, on average, for the tested non-waste-free classes, compared to the latest literature. BS(BLR) gives the best results in some classes with smaller number of items (20,40).
Details
Original language | English |
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Pages (from-to) | 823-832 |
Journal | Journal of the Operational Research Society : OR |
Volume | 59 |
Issue number | 6 |
Publication status | Published - 2008 |
Peer-reviewed | Yes |
External IDs
Scopus | 43149109952 |
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Keywords
DFG Classification of Subject Areas according to Review Boards
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- Rectangular Strip Packing, Heuristic