On-line algorithms for cardinality constrained bin packing problems
UNSPECIFIED (2001) On-line algorithms for cardinality constrained bin packing problems. In: 12th Annual International Symposium on Algorithms and Computation, DEC 19-21, 2001, CHRISTCHURCH, NEW ZEALAND.Full text not available from this repository.
The bin packing problem asks for a packing of a list of items from (0, 1] into the smallest possible number of bins having unit capacity. The k-item bin packing problem additionally imposes the constraint that at most k items are allowed in one bin. We present two efficient approximation algorithms for the on-line version of this problem. We show that, for increasing values of k, the asymptotic worst-case performance ratio of the first algorithm tends towards 2 and that the second algorithm has an asymptotic worst-case performance ratio of 2. Both heuristics considerably improve upon the best known result 2.7 of Krause, Shen and Schwetman. Moreover, we present algorithms for k = 2 and k = 3, where the result for k = 2 is best possible.
|Item Type:||Conference Item (UNSPECIFIED)|
|Subjects:||Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software|
|Series Name:||LECTURE NOTES IN COMPUTER SCIENCE|
|Journal or Publication Title:||ALGORITHMS AND COMPUTATION, PROCEEDINGS|
|Editor:||Eades, P and Takaoka, T|
|Number of Pages:||12|
|Page Range:||pp. 695-706|
|Title of Event:||12th Annual International Symposium on Algorithms and Computation|
|Location of Event:||CHRISTCHURCH, NEW ZEALAND|
|Date(s) of Event:||DEC 19-21, 2001|
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