Shelf algorithms for on-line strip packing
✍ Scribed by János Csirik; Gerhard J. Woeginger
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 461 KB
- Volume
- 63
- Category
- Article
- ISSN
- 0020-0190
No coin nor oath required. For personal study only.
✦ Synopsis
In the strip packing problem, the goal is to pack a set of rectangles into a vertical strip of unit width so as to minimize the total height of the strip needed. For the on-line version of this problem, Baker and Schwarz introduced the class of so-called shelf algorithms. One of these shelf algorithms, FFS, is the current champion for on-line strip packing. The asymptotic worst case ratio of FFS can be made arbitrarily close to 1.7. We show that no shelf algorithm for on-line strip packing can have an asymptotic worst case ratio better than h, x 1.69 103. Moreover, we introduce and analyze another on-line shelf algorithm whose asymptotic worst case ratio comes arbitrarily close to h,. @ 1997 Elsevier Science B.V.
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